{"about":{"non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","site":"https://codewithpapers.app","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page","syntology":{"site":"https://syntology.ai","developers":"https://syntology.ai/developers","mcp":{"server":"https://syntology.ai/mcp","transport":"streamable-http","server_card":"https://syntology.ai/.well-known/mcp/server-card.json","auth":{"type":"trial token, no account","trial_token":"https://syntology.ai/api/oauth/trial/token","method":"POST","docs":"https://syntology.ai/developers"}},"have":"https://syntology.ai/api/graph/have?x=<method, arXiv id or title> (free, answers coverage only)","paper_base":"https://syntology.ai/paper/","atlas_base":"https://app.syntology.ai/?focus="},"machine_readable":[{"url":"https://codewithpapers.app/llms.txt","what":"the machine catalog: every machine-readable file, counted"},{"url":"https://codewithpapers.app/index/manifest.json","what":"paper-to-code index by arXiv id, with Syntology's counts"},{"url":"https://codewithpapers.app/search/manifest.json","what":"site search index (titles, authors) and its files"},{"url":"https://codewithpapers.app/download","what":"bulk files: Syntology's layer, described there"},{"url":"https://codewithpapers.app/build_manifest.json","what":"the build record: inputs, counts, exclusions, probes"}]},"url":"/task/all/papers/5","list_of":"/task/all","task":"All","archive":{"snapshot":"2025-07-28"},"key_notes":{"n_ran_checked":"legacy name, kept unchanged so existing readers do not break: it counts the samples that ran with no instrument failure (honoured, violated, and ran with no contract checked); it does not mean a contract was checked, and the pages print it as 'K with no instrument failure', not 'K checked'","n_constructed":"a sub-count of the samples that ran, never subtracted from them and never a failure: an executed sample whose run returned an instance of its own class (fixture_out_type equals the entry name): the run built an object and did not compute a result (Syntology's RAN record, counts.constructed)"},"syntology_read_at":"2026-09-28T10:30:06+00:00","order":"archive","order_definition":"repositories listed in the archive (most first), then date (newest first), then slug","page":5,"pages_in_order":27,"rows_per_page":100,"rows":[401,500],"of":2646,"counts":{"archive_papers_tagged":2646,"with_a_code_link":951,"where_syntology_ran_a_sample":271,"not_listed_spam_title":0,"listed":2646,"listed_where_code_ran":271,"where_syntology_ran_a_sample_split":{"with_a_run_with_no_instrument_failure":232,"every_run_a_failure_of_syntologys_instrument":39,"listed_with_a_run_with_no_instrument_failure":232,"listed_every_run_a_failure_of_syntologys_instrument":39,"filter":{"states":["a run with no instrument failure","any run, instrument failures included"],"default":"a run with no instrument failure","note":"on the 'only where code ran' pages the default hides, in the browser, the rows where every run was a failure of Syntology's instrument; the second state shows them again. Rows are hidden, never re-ordered; these twins list every row"}},"definition":"distinct papers the archive tags; 'where Syntology ran a sample' counts papers with at least one harvested sample that ran, which is not a correctness claim"},"first_page":"/task/all","prev":"/task/all/papers/4","next":"/task/all/papers/6","papers":[{"url":"/paper/not-all-attention-is-needed-parameter-and","slug":"not-all-attention-is-needed-parameter-and","title":"Not All Attention is Needed: Parameter and Computation Efficient Transfer Learning for Multi-modal Large Language Models","date":"2024-03-22","arxiv_id":"2403.15226","repositories_listed":1,"syntology":null},{"url":"/paper/adair-adaptive-all-in-one-image-restoration","slug":"adair-adaptive-all-in-one-image-restoration","title":"AdaIR: Adaptive All-in-One Image Restoration via Frequency Mining and Modulation","date":"2024-03-21","arxiv_id":"2403.14614","repositories_listed":1,"syntology":{"n":15,"n_ran":12,"n_constructed":0,"n_ran_checked":9,"n_instrument":3,"n_unverified":3,"n_honours":0,"n_violates":0,"n_no_contract":9,"n_pointer_only":15,"phrase":"12 ran (of which 0 constructed an object rather than computing a result; 9 with no instrument failure: 0 honoured, 0 violated, 9 with no contract checked; 3 where Syntology's instrument failed) · 3 unverified","sample_list":"/paper/adair-adaptive-all-in-one-image-restoration#ran","syntology_url":"https://syntology.ai/paper/2403.14614","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2403.14614"}},"official":{"repos":["c-yn/adair"],"state":"official (archive's flag): 12 ran","n_ran":12,"n_constructed":0,"n_ran_no_instrument_failure":9,"n_unverified":3,"ran_from_kinds":["official"]}}},{"url":"/paper/reflectivity-is-all-you-need-advancing-lidar","slug":"reflectivity-is-all-you-need-advancing-lidar","title":"Reflectivity Is All You Need!: Advancing LiDAR Semantic Segmentation","date":"2024-03-19","arxiv_id":"2403.13188","repositories_listed":1,"syntology":null},{"url":"/paper/a-unified-model-for-longitudinal-multi-modal","slug":"a-unified-model-for-longitudinal-multi-modal","title":"A Unified Model for Longitudinal Multi-Modal Multi-View Prediction with Missingness","date":"2024-03-18","arxiv_id":"2403.12211","repositories_listed":1,"syntology":null},{"url":"/paper/multistep-inverse-is-not-all-you-need","slug":"multistep-inverse-is-not-all-you-need","title":"Multistep Inverse Is Not All You Need","date":"2024-03-18","arxiv_id":"2403.11940","repositories_listed":1,"syntology":{"n":3,"n_ran":3,"n_constructed":0,"n_ran_checked":0,"n_instrument":3,"n_unverified":0,"n_honours":0,"n_violates":0,"n_no_contract":0,"n_pointer_only":3,"phrase":"3 ran (of which 0 constructed an object rather than computing a result; 0 with no instrument failure: 0 honoured, 0 violated, 0 with no contract checked; 3 where Syntology's instrument failed) · 0 unverified","sample_list":"/paper/multistep-inverse-is-not-all-you-need#ran","syntology_url":"https://syntology.ai/paper/2403.11940","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2403.11940"}},"official":{"repos":["midi-lab/acdf"],"state":"official (archive's flag): 3 ran","n_ran":3,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":0,"ran_from_kinds":["official"]}}},{"url":"/paper/data-is-all-you-need-finetuning-llms-for-chip","slug":"data-is-all-you-need-finetuning-llms-for-chip","title":"Data is all you need: Finetuning LLMs for Chip Design via an Automated design-data augmentation framework","date":"2024-03-17","arxiv_id":"2403.11202","repositories_listed":1,"syntology":{"n":4,"n_ran":3,"n_constructed":0,"n_ran_checked":3,"n_instrument":0,"n_unverified":1,"n_honours":0,"n_violates":0,"n_no_contract":3,"n_pointer_only":4,"phrase":"3 ran (of which 0 constructed an object rather than computing a result; 3 with no instrument failure: 0 honoured, 0 violated, 3 with no contract checked; 0 where Syntology's instrument failed) · 1 unverified","sample_list":"/paper/data-is-all-you-need-finetuning-llms-for-chip#ran","syntology_url":"https://syntology.ai/paper/2403.11202","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2403.11202"}},"official":{"repos":["aichipdesign/chipgptft"],"state":"official (archive's flag): 3 ran","n_ran":3,"n_constructed":0,"n_ran_no_instrument_failure":3,"n_unverified":1,"ran_from_kinds":["official"]}}},{"url":"/paper/is-data-all-that-matters-the-role-of-control","slug":"is-data-all-that-matters-the-role-of-control","title":"Is Data All That Matters? The Role of Control Frequency for Learning-Based Sampled-Data Control of Uncertain Systems","date":"2024-03-14","arxiv_id":"2403.09504","repositories_listed":1,"syntology":null},{"url":"/paper/picniq-pairwise-comparisons-for-natural-image","slug":"picniq-pairwise-comparisons-for-natural-image","title":"Pairwise Comparisons Are All You Need","date":"2024-03-13","arxiv_id":"2403.09746","repositories_listed":1,"syntology":null},{"url":"/paper/continual-all-in-one-adverse-weather-removal","slug":"continual-all-in-one-adverse-weather-removal","title":"Continual All-in-One Adverse Weather Removal with Knowledge Replay on a Unified Network Structure","date":"2024-03-12","arxiv_id":"2403.07292","repositories_listed":1,"syntology":null},{"url":"/paper/it-s-all-about-your-sketch-democratising","slug":"it-s-all-about-your-sketch-democratising","title":"It's All About Your Sketch: Democratising Sketch Control in Diffusion Models","date":"2024-03-12","arxiv_id":"2403.07234","repositories_listed":1,"syntology":null},{"url":"/paper/moai-mixture-of-all-intelligence-for-large","slug":"moai-mixture-of-all-intelligence-for-large","title":"MoAI: Mixture of All Intelligence for Large Language and Vision Models","date":"2024-03-12","arxiv_id":"2403.07508","repositories_listed":1,"syntology":{"n":7,"n_ran":6,"n_constructed":0,"n_ran_checked":5,"n_instrument":1,"n_unverified":1,"n_honours":0,"n_violates":1,"n_no_contract":4,"n_pointer_only":1,"phrase":"6 ran (of which 0 constructed an object rather than computing a result; 5 with no instrument failure: 0 honoured, 1 violated, 4 with no contract checked; 1 where Syntology's instrument failed) · 1 unverified","sample_list":"/paper/moai-mixture-of-all-intelligence-for-large#ran","syntology_url":"https://syntology.ai/paper/2403.07508","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2403.07508"}},"official":{"repos":["ByungKwanLee/MoAI"],"state":"official (archive's flag): 6 ran","n_ran":6,"n_constructed":0,"n_ran_no_instrument_failure":5,"n_unverified":1,"ran_from_kinds":["official"]}}},{"url":"/paper/afreeca-annotation-free-counting-for-all","slug":"afreeca-annotation-free-counting-for-all","title":"AFreeCA: Annotation-Free Counting for All","date":"2024-03-07","arxiv_id":"2403.04943","repositories_listed":1,"syntology":{"n":8,"n_ran":6,"n_constructed":0,"n_ran_checked":6,"n_instrument":0,"n_unverified":2,"n_honours":0,"n_violates":0,"n_no_contract":6,"n_pointer_only":8,"phrase":"6 ran (of which 0 constructed an object rather than computing a result; 6 with no instrument failure: 0 honoured, 0 violated, 6 with no contract checked; 0 where Syntology's instrument failed) · 2 unverified","sample_list":"/paper/afreeca-annotation-free-counting-for-all#ran","syntology_url":"https://syntology.ai/paper/2403.04943","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2403.04943"}},"official":{"repos":["adrian-dalessandro/afreeca"],"state":"official (archive's flag): 6 ran","n_ran":6,"n_constructed":0,"n_ran_no_instrument_failure":6,"n_unverified":2,"ran_from_kinds":["official"]}}},{"url":"/paper/greed-is-all-you-need-an-evaluation-of","slug":"greed-is-all-you-need-an-evaluation-of","title":"Greed is All You Need: An Evaluation of Tokenizer Inference Methods","date":"2024-03-02","arxiv_id":"2403.01289","repositories_listed":1,"syntology":{"n":7,"n_ran":6,"n_constructed":0,"n_ran_checked":6,"n_instrument":0,"n_unverified":1,"n_honours":0,"n_violates":0,"n_no_contract":6,"n_pointer_only":0,"phrase":"6 ran (of which 0 constructed an object rather than computing a result; 6 with no instrument failure: 0 honoured, 0 violated, 6 with no contract checked; 0 where Syntology's instrument failed) · 1 unverified","sample_list":"/paper/greed-is-all-you-need-an-evaluation-of#ran","syntology_url":"https://syntology.ai/paper/2403.01289","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2403.01289"}},"official":{"repos":["melelbgu/tokenizers_intrinsic_benchmark"],"state":"official (archive's flag): 6 ran","n_ran":6,"n_constructed":0,"n_ran_no_instrument_failure":6,"n_unverified":1,"ran_from_kinds":["official"]}}},{"url":"/paper/ensemble-based-unsupervised-discontinuous","slug":"ensemble-based-unsupervised-discontinuous","title":"Tree-Averaging Algorithms for Ensemble-Based Unsupervised Discontinuous Constituency Parsing","date":"2024-02-29","arxiv_id":"2403.00143","repositories_listed":1,"syntology":{"n":10,"n_ran":8,"n_constructed":0,"n_ran_checked":8,"n_instrument":0,"n_unverified":2,"n_honours":0,"n_violates":0,"n_no_contract":8,"n_pointer_only":10,"phrase":"8 ran (of which 0 constructed an object rather than computing a result; 8 with no instrument failure: 0 honoured, 0 violated, 8 with no contract checked; 0 where Syntology's instrument failed) · 2 unverified","sample_list":"/paper/ensemble-based-unsupervised-discontinuous#ran","syntology_url":"https://syntology.ai/paper/2403.00143","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2403.00143"}},"official":{"repos":["manga-uofa/taa4eudcp"],"state":"official (archive's flag): 8 ran","n_ran":8,"n_constructed":0,"n_ran_no_instrument_failure":8,"n_unverified":2,"ran_from_kinds":["official"]}}},{"url":"/paper/one-model-to-use-them-all-training-a","slug":"one-model-to-use-them-all-training-a","title":"One model to use them all: Training a segmentation model with complementary datasets","date":"2024-02-29","arxiv_id":"2402.19340","repositories_listed":1,"syntology":null},{"url":"/paper/the-all-seeing-project-v2-towards-general","slug":"the-all-seeing-project-v2-towards-general","title":"The All-Seeing Project V2: Towards General Relation Comprehension of the Open World","date":"2024-02-29","arxiv_id":"2402.19474","repositories_listed":1,"syntology":{"n":8,"n_ran":7,"n_constructed":2,"n_ran_checked":5,"n_instrument":2,"n_unverified":1,"n_honours":2,"n_violates":0,"n_no_contract":3,"n_pointer_only":8,"phrase":"7 ran (of which 2 constructed an object rather than computing a result; 5 with no instrument failure: 2 honoured, 0 violated, 3 with no contract checked; 2 where Syntology's instrument failed) · 1 unverified","sample_list":"/paper/the-all-seeing-project-v2-towards-general#ran","syntology_url":"https://syntology.ai/paper/2402.19474","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2402.19474"}},"official":{"repos":["opengvlab/all-seeing"],"state":"official (archive's flag): 7 ran","n_ran":7,"n_constructed":2,"n_ran_no_instrument_failure":5,"n_unverified":1,"ran_from_kinds":["official"]}}},{"url":"/paper/utilizing-local-hierarchy-with-adversarial","slug":"utilizing-local-hierarchy-with-adversarial","title":"Utilizing Local Hierarchy with Adversarial Training for Hierarchical Text Classification","date":"2024-02-29","arxiv_id":"2402.18825","repositories_listed":1,"syntology":null},{"url":"/paper/all-in-a-single-image-large-multimodal-models","slug":"all-in-a-single-image-large-multimodal-models","title":"All in an Aggregated Image for In-Image Learning","date":"2024-02-28","arxiv_id":"2402.17971","repositories_listed":1,"syntology":null},{"url":"/paper/why-attention-graphs-are-all-we-need","slug":"why-attention-graphs-are-all-we-need","title":"Why Attention Graphs Are All We Need: Pioneering Hierarchical Classification of Hematologic Cell Populations with LeukoGraph","date":"2024-02-28","arxiv_id":"2402.18610","repositories_listed":1,"syntology":null},{"url":"/paper/not-all-experts-are-equal-efficient-expert","slug":"not-all-experts-are-equal-efficient-expert","title":"Not All Experts are Equal: Efficient Expert Pruning and Skipping for Mixture-of-Experts Large Language Models","date":"2024-02-22","arxiv_id":"2402.14800","repositories_listed":1,"syntology":{"n":1,"n_ran":0,"n_constructed":0,"n_ran_checked":0,"n_instrument":0,"n_unverified":1,"n_honours":0,"n_violates":0,"n_no_contract":0,"n_pointer_only":0,"phrase":"0 ran · 1 unverified","sample_list":"/paper/not-all-experts-are-equal-efficient-expert#ran","syntology_url":"https://syntology.ai/paper/2402.14800","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2402.14800"}},"official":{"repos":["lucky-lance/expert_sparsity"],"state":"official: harvested, nothing ran","n_ran":0,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":1,"ran_from_kinds":[]}}},{"url":"/paper/one-prompt-to-rule-them-all-llms-for-opinion","slug":"one-prompt-to-rule-them-all-llms-for-opinion","title":"One Prompt To Rule Them All: LLMs for Opinion Summary Evaluation","date":"2024-02-18","arxiv_id":"2402.11683","repositories_listed":1,"syntology":{"n":5,"n_ran":5,"n_constructed":0,"n_ran_checked":5,"n_instrument":0,"n_unverified":0,"n_honours":0,"n_violates":0,"n_no_contract":5,"n_pointer_only":0,"phrase":"5 ran (of which 0 constructed an object rather than computing a result; 5 with no instrument failure: 0 honoured, 0 violated, 5 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified","sample_list":"/paper/one-prompt-to-rule-them-all-llms-for-opinion#ran","syntology_url":"https://syntology.ai/paper/2402.11683","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2402.11683"}},"official":{"repos":["tjsiledar/summeval-op"],"state":"official (archive's flag): 5 ran","n_ran":5,"n_constructed":0,"n_ran_no_instrument_failure":5,"n_unverified":0,"ran_from_kinds":["official"]}}},{"url":"/paper/stumbling-blocks-stress-testing-the","slug":"stumbling-blocks-stress-testing-the","title":"Stumbling Blocks: Stress Testing the Robustness of Machine-Generated Text Detectors Under Attacks","date":"2024-02-18","arxiv_id":"2402.11638","repositories_listed":1,"syntology":null},{"url":"/paper/multipot-multilingual-program-of-thoughts","slug":"multipot-multilingual-program-of-thoughts","title":"Python is Not Always the Best Choice: Embracing Multilingual Program of Thoughts","date":"2024-02-16","arxiv_id":"2402.10691","repositories_listed":1,"syntology":null},{"url":"/paper/answer-is-all-you-need-instruction-following","slug":"answer-is-all-you-need-instruction-following","title":"Answer is All You Need: Instruction-following Text Embedding via Answering the Question","date":"2024-02-15","arxiv_id":"2402.09642","repositories_listed":1,"syntology":{"n":8,"n_ran":7,"n_constructed":0,"n_ran_checked":6,"n_instrument":1,"n_unverified":1,"n_honours":0,"n_violates":0,"n_no_contract":6,"n_pointer_only":0,"phrase":"7 ran (of which 0 constructed an object rather than computing a result; 6 with no instrument failure: 0 honoured, 0 violated, 6 with no contract checked; 1 where Syntology's instrument failed) · 1 unverified","sample_list":"/paper/answer-is-all-you-need-instruction-following#ran","syntology_url":"https://syntology.ai/paper/2402.09642","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2402.09642"}},"official":{"repos":["zhang-yu-wei/inbedder"],"state":"official (archive's flag): 7 ran","n_ran":7,"n_constructed":0,"n_ran_no_instrument_failure":6,"n_unverified":1,"ran_from_kinds":["official"]}}},{"url":"/paper/jack-of-all-trades-master-of-some-a-multi","slug":"jack-of-all-trades-master-of-some-a-multi","title":"Jack of All Trades, Master of Some, a Multi-Purpose Transformer Agent","date":"2024-02-15","arxiv_id":"2402.09844","repositories_listed":1,"syntology":{"n":11,"n_ran":6,"n_constructed":0,"n_ran_checked":6,"n_instrument":0,"n_unverified":5,"n_honours":0,"n_violates":0,"n_no_contract":6,"n_pointer_only":0,"phrase":"6 ran (of which 0 constructed an object rather than computing a result; 6 with no instrument failure: 0 honoured, 0 violated, 6 with no contract checked; 0 where Syntology's instrument failed) · 5 unverified","sample_list":"/paper/jack-of-all-trades-master-of-some-a-multi#ran","syntology_url":"https://syntology.ai/paper/2402.09844","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2402.09844"}},"official":{"repos":["huggingface/jat"],"state":"official (archive's flag): 6 ran","n_ran":6,"n_constructed":0,"n_ran_no_instrument_failure":6,"n_unverified":5,"ran_from_kinds":["official"]}}},{"url":"/paper/evaluating-membership-inference-attacks-and","slug":"evaluating-membership-inference-attacks-and","title":"FedMIA: An Effective Membership Inference Attack Exploiting \"All for One\" Principle in Federated Learning","date":"2024-02-09","arxiv_id":"2402.06289","repositories_listed":1,"syntology":null},{"url":"/paper/randomness-is-all-you-need-semantic-traversal","slug":"randomness-is-all-you-need-semantic-traversal","title":"Randomness Is All You Need: Semantic Traversal of Problem-Solution Spaces with Large Language Models","date":"2024-02-08","arxiv_id":"2402.06053","repositories_listed":1,"syntology":null},{"url":"/paper/aosrnet-all-in-one-scene-recovery-networks","slug":"aosrnet-all-in-one-scene-recovery-networks","title":"AoSRNet: All-in-One Scene Recovery Networks via Multi-knowledge Integration","date":"2024-02-06","arxiv_id":"2402.03738","repositories_listed":1,"syntology":null},{"url":"/paper/ltu-ili-an-all-in-one-framework-for-implicit","slug":"ltu-ili-an-all-in-one-framework-for-implicit","title":"LtU-ILI: An All-in-One Framework for Implicit Inference in Astrophysics and Cosmology","date":"2024-02-06","arxiv_id":"2402.05137","repositories_listed":1,"syntology":{"n":3,"n_ran":3,"n_constructed":0,"n_ran_checked":3,"n_instrument":0,"n_unverified":0,"n_honours":0,"n_violates":0,"n_no_contract":3,"n_pointer_only":3,"phrase":"3 ran (of which 0 constructed an object rather than computing a result; 3 with no instrument failure: 0 honoured, 0 violated, 3 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified","sample_list":"/paper/ltu-ili-an-all-in-one-framework-for-implicit#ran","syntology_url":"https://syntology.ai/paper/2402.05137","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2402.05137"}},"official":{"repos":["maho3/ltu-ili"],"state":"official (archive's flag): 3 ran","n_ran":3,"n_constructed":0,"n_ran_no_instrument_failure":3,"n_unverified":0,"ran_from_kinds":["official"]}}},{"url":"/paper/latent-graph-diffusion-a-unified-framework","slug":"latent-graph-diffusion-a-unified-framework","title":"Unifying Generation and Prediction on Graphs with Latent Graph Diffusion","date":"2024-02-04","arxiv_id":"2402.02518","repositories_listed":1,"syntology":{"n":13,"n_ran":8,"n_constructed":0,"n_ran_checked":6,"n_instrument":2,"n_unverified":5,"n_honours":0,"n_violates":1,"n_no_contract":5,"n_pointer_only":4,"phrase":"8 ran (of which 0 constructed an object rather than computing a result; 6 with no instrument failure: 0 honoured, 1 violated, 5 with no contract checked; 2 where Syntology's instrument failed) · 5 unverified","sample_list":"/paper/latent-graph-diffusion-a-unified-framework#ran","syntology_url":"https://syntology.ai/paper/2402.02518","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2402.02518"}},"official":{"repos":["zhouc20/latentgraphdiffusion"],"state":"official (archive's flag): 8 ran","n_ran":8,"n_constructed":0,"n_ran_no_instrument_failure":6,"n_unverified":5,"ran_from_kinds":["official"]}}},{"url":"/paper/accelerating-look-ahead-in-bayesian","slug":"accelerating-look-ahead-in-bayesian","title":"Accelerating Look-ahead in Bayesian Optimization: Multilevel Monte Carlo is All you Need","date":"2024-02-03","arxiv_id":"2402.02111","repositories_listed":1,"syntology":{"n":4,"n_ran":3,"n_constructed":0,"n_ran_checked":3,"n_instrument":0,"n_unverified":1,"n_honours":0,"n_violates":0,"n_no_contract":3,"n_pointer_only":0,"phrase":"3 ran (of which 0 constructed an object rather than computing a result; 3 with no instrument failure: 0 honoured, 0 violated, 3 with no contract checked; 0 where Syntology's instrument failed) · 1 unverified","sample_list":"/paper/accelerating-look-ahead-in-bayesian#ran","syntology_url":"https://syntology.ai/paper/2402.02111","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2402.02111"}},"official":{"repos":["shangda-yang/mlmcbo"],"state":"official (archive's flag): 3 ran","n_ran":3,"n_constructed":0,"n_ran_no_instrument_failure":3,"n_unverified":1,"ran_from_kinds":["official"]}}},{"url":"/paper/physical-perception-network-and-an-all","slug":"physical-perception-network-and-an-all","title":"All-weather Multi-Modality Image Fusion: Unified Framework and 100k Benchmark","date":"2024-02-03","arxiv_id":"2402.02090","repositories_listed":1,"syntology":{"n":2,"n_ran":2,"n_constructed":0,"n_ran_checked":1,"n_instrument":1,"n_unverified":0,"n_honours":1,"n_violates":0,"n_no_contract":0,"n_pointer_only":2,"phrase":"2 ran (of which 0 constructed an object rather than computing a result; 1 with no instrument failure: 1 honoured, 0 violated, 0 with no contract checked; 1 where Syntology's instrument failed) · 0 unverified","sample_list":"/paper/physical-perception-network-and-an-all#ran","syntology_url":"https://syntology.ai/paper/2402.02090","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2402.02090"}},"official":{"repos":["ixilai/awfusion"],"state":"official (archive's flag): 1 ran","n_ran":1,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":0,"ran_from_kinds":["official","unlocated"]}}},{"url":"/paper/a-single-simple-patch-is-all-you-need-for-ai","slug":"a-single-simple-patch-is-all-you-need-for-ai","title":"A Single Simple Patch is All You Need for AI-generated Image Detection","date":"2024-02-02","arxiv_id":"2402.01123","repositories_listed":1,"syntology":{"n":9,"n_ran":9,"n_constructed":0,"n_ran_checked":7,"n_instrument":2,"n_unverified":0,"n_honours":0,"n_violates":0,"n_no_contract":7,"n_pointer_only":2,"phrase":"9 ran (of which 0 constructed an object rather than computing a result; 7 with no instrument failure: 0 honoured, 0 violated, 7 with no contract checked; 2 where Syntology's instrument failed) · 0 unverified","sample_list":"/paper/a-single-simple-patch-is-all-you-need-for-ai#ran","syntology_url":"https://syntology.ai/paper/2402.01123","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2402.01123"}},"official":{"repos":["bcmi/SSP-AI-Generated-Image-Detection"],"state":"official (archive's flag): 9 ran","n_ran":9,"n_constructed":0,"n_ran_no_instrument_failure":7,"n_unverified":0,"ran_from_kinds":["official"]}}},{"url":"/paper/a-single-graph-convolution-is-all-you-need","slug":"a-single-graph-convolution-is-all-you-need","title":"A Single Graph Convolution Is All You Need: Efficient Grayscale Image Classification","date":"2024-02-01","arxiv_id":"2402.00564","repositories_listed":1,"syntology":null},{"url":"/paper/all-of-me-mining-users-attributes-from-their","slug":"all-of-me-mining-users-attributes-from-their","title":"\"All of Me\": Mining Users' Attributes from their Public Spotify Playlists","date":"2024-01-25","arxiv_id":"2401.14296","repositories_listed":1,"syntology":null},{"url":"/paper/unified-width-adaptive-dynamic-network-for","slug":"unified-width-adaptive-dynamic-network-for","title":"Unified-Width Adaptive Dynamic Network for All-In-One Image Restoration","date":"2024-01-24","arxiv_id":"2401.13221","repositories_listed":1,"syntology":null},{"url":"/paper/large-language-models-are-superpositions-of","slug":"large-language-models-are-superpositions-of","title":"Large Language Models are Superpositions of All Characters: Attaining Arbitrary Role-play via Self-Alignment","date":"2024-01-23","arxiv_id":"2401.12474","repositories_listed":1,"syntology":null},{"url":"/paper/all-in-how-you-ask-for-it-simple-black-box","slug":"all-in-how-you-ask-for-it-simple-black-box","title":"All in How You Ask for It: Simple Black-Box Method for Jailbreak Attacks","date":"2024-01-18","arxiv_id":"2401.09798","repositories_listed":1,"syntology":{"n":7,"n_ran":3,"n_constructed":0,"n_ran_checked":3,"n_instrument":0,"n_unverified":4,"n_honours":0,"n_violates":0,"n_no_contract":3,"n_pointer_only":7,"phrase":"3 ran (of which 0 constructed an object rather than computing a result; 3 with no instrument failure: 0 honoured, 0 violated, 3 with no contract checked; 0 where Syntology's instrument failed) · 4 unverified","sample_list":"/paper/all-in-how-you-ask-for-it-simple-black-box#ran","syntology_url":"https://syntology.ai/paper/2401.09798","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2401.09798"}},"official":{"repos":["kztakemoto/simbaja"],"state":"official (archive's flag): 3 ran","n_ran":3,"n_constructed":0,"n_ran_no_instrument_failure":3,"n_unverified":4,"ran_from_kinds":["official"]}}},{"url":"/paper/omg-seg-is-one-model-good-enough-for-all","slug":"omg-seg-is-one-model-good-enough-for-all","title":"OMG-Seg: Is One Model Good Enough For All Segmentation?","date":"2024-01-18","arxiv_id":"2401.10229","repositories_listed":1,"syntology":{"n":4,"n_ran":3,"n_constructed":0,"n_ran_checked":3,"n_instrument":0,"n_unverified":1,"n_honours":0,"n_violates":0,"n_no_contract":3,"n_pointer_only":4,"phrase":"3 ran (of which 0 constructed an object rather than computing a result; 3 with no instrument failure: 0 honoured, 0 violated, 3 with no contract checked; 0 where Syntology's instrument failed) · 1 unverified","sample_list":"/paper/omg-seg-is-one-model-good-enough-for-all#ran","syntology_url":"https://syntology.ai/paper/2401.10229","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2401.10229"}},"official":{"repos":["lxtgh/omg-seg"],"state":"official (archive's flag): 3 ran","n_ran":3,"n_constructed":0,"n_ran_no_instrument_failure":3,"n_unverified":1,"ran_from_kinds":["official"]}}},{"url":"/paper/rap-sam-towards-real-time-all-purpose-segment","slug":"rap-sam-towards-real-time-all-purpose-segment","title":"RAP-SAM: Towards Real-Time All-Purpose Segment Anything","date":"2024-01-18","arxiv_id":"2401.10228","repositories_listed":1,"syntology":{"n":3,"n_ran":3,"n_constructed":0,"n_ran_checked":1,"n_instrument":2,"n_unverified":0,"n_honours":0,"n_violates":0,"n_no_contract":1,"n_pointer_only":2,"phrase":"3 ran (of which 0 constructed an object rather than computing a result; 1 with no instrument failure: 0 honoured, 0 violated, 1 with no contract checked; 2 where Syntology's instrument failed) · 0 unverified","sample_list":"/paper/rap-sam-towards-real-time-all-purpose-segment#ran","syntology_url":"https://syntology.ai/paper/2401.10228","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2401.10228"}},"official":{"repos":["xushilin1/rap-sam"],"state":"official (archive's flag): 3 ran","n_ran":3,"n_constructed":0,"n_ran_no_instrument_failure":1,"n_unverified":0,"ran_from_kinds":["official"]}}},{"url":"/paper/grimoire-is-all-you-need-for-enhancing-large","slug":"grimoire-is-all-you-need-for-enhancing-large","title":"Grimoire is All You Need for Enhancing Large Language Models","date":"2024-01-07","arxiv_id":"2401.03385","repositories_listed":1,"syntology":{"n":5,"n_ran":5,"n_constructed":0,"n_ran_checked":5,"n_instrument":0,"n_unverified":0,"n_honours":0,"n_violates":0,"n_no_contract":5,"n_pointer_only":0,"phrase":"5 ran (of which 0 constructed an object rather than computing a result; 5 with no instrument failure: 0 honoured, 0 violated, 5 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified","sample_list":"/paper/grimoire-is-all-you-need-for-enhancing-large#ran","syntology_url":"https://syntology.ai/paper/2401.03385","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2401.03385"}},"official":{"repos":["iaar-shanghai/grimoire"],"state":"official (archive's flag): 5 ran","n_ran":5,"n_constructed":0,"n_ran_no_instrument_failure":5,"n_unverified":0,"ran_from_kinds":["official"]}}},{"url":"/paper/k-winners-take-all-ensemble-neural-network","slug":"k-winners-take-all-ensemble-neural-network","title":"k-Winners-Take-All Ensemble Neural Network","date":"2024-01-04","arxiv_id":"2401.02092","repositories_listed":1,"syntology":null},{"url":"/paper/am-radio-agglomerative-vision-foundation","slug":"am-radio-agglomerative-vision-foundation","title":"AM-RADIO: Agglomerative Vision Foundation Model Reduce All Domains Into One","date":"2024-01-01","arxiv_id":null,"repositories_listed":1,"syntology":null},{"url":"/paper/bezier-everywhere-all-at-once-learning","slug":"bezier-everywhere-all-at-once-learning","title":"Bezier Everywhere All at Once: Learning Drivable Lanes as Bezier Graphs","date":"2024-01-01","arxiv_id":null,"repositories_listed":1,"syntology":null},{"url":"/paper/not-all-prompts-are-secure-a-switchable-1","slug":"not-all-prompts-are-secure-a-switchable-1","title":"Not All Prompts Are Secure: A Switchable Backdoor Attack Against Pre-trained Vision Transfomers","date":"2024-01-01","arxiv_id":null,"repositories_listed":1,"syntology":null},{"url":"/paper/is-knowledge-all-large-language-models-needed","slug":"is-knowledge-all-large-language-models-needed","title":"Is Knowledge All Large Language Models Needed for Causal Reasoning?","date":"2023-12-30","arxiv_id":"2401.00139","repositories_listed":1,"syntology":{"n":3,"n_ran":2,"n_constructed":0,"n_ran_checked":2,"n_instrument":0,"n_unverified":1,"n_honours":0,"n_violates":0,"n_no_contract":2,"n_pointer_only":3,"phrase":"2 ran (of which 0 constructed an object rather than computing a result; 2 with no instrument failure: 0 honoured, 0 violated, 2 with no contract checked; 0 where Syntology's instrument failed) · 1 unverified","sample_list":"/paper/is-knowledge-all-large-language-models-needed#ran","syntology_url":"https://syntology.ai/paper/2401.00139","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2401.00139"}},"official":{"repos":["ncsulsj/causal_llm"],"state":"official (archive's flag): 2 ran","n_ran":2,"n_constructed":0,"n_ran_no_instrument_failure":2,"n_unverified":1,"ran_from_kinds":["official"]}}},{"url":"/paper/one-dimensional-adapter-to-rule-them-all","slug":"one-dimensional-adapter-to-rule-them-all","title":"One-Dimensional Adapter to Rule Them All: Concepts, Diffusion Models and Erasing Applications","date":"2023-12-26","arxiv_id":"2312.16145","repositories_listed":1,"syntology":null},{"url":"/paper/not-all-tasks-are-equally-difficult-multi","slug":"not-all-tasks-are-equally-difficult-multi","title":"Not All Tasks Are Equally Difficult: Multi-Task Deep Reinforcement Learning with Dynamic Depth Routing","date":"2023-12-22","arxiv_id":"2312.14472","repositories_listed":1,"syntology":{"n":8,"n_ran":4,"n_constructed":0,"n_ran_checked":3,"n_instrument":1,"n_unverified":4,"n_honours":0,"n_violates":0,"n_no_contract":3,"n_pointer_only":1,"phrase":"4 ran (of which 0 constructed an object rather than computing a result; 3 with no instrument failure: 0 honoured, 0 violated, 3 with no contract checked; 1 where Syntology's instrument failed) · 4 unverified","sample_list":"/paper/not-all-tasks-are-equally-difficult-multi#ran","syntology_url":"https://syntology.ai/paper/2312.14472","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2312.14472"}},"official":{"repos":["DarkDawn233/D2R_MTRL"],"state":"official (archive's flag): 4 ran","n_ran":4,"n_constructed":0,"n_ran_no_instrument_failure":3,"n_unverified":4,"ran_from_kinds":["official"]}}},{"url":"/paper/scaling-compute-is-not-all-you-need-for","slug":"scaling-compute-is-not-all-you-need-for","title":"Scaling Compute Is Not All You Need for Adversarial Robustness","date":"2023-12-20","arxiv_id":"2312.13131","repositories_listed":1,"syntology":{"n":14,"n_ran":12,"n_constructed":0,"n_ran_checked":10,"n_instrument":2,"n_unverified":2,"n_honours":3,"n_violates":0,"n_no_contract":7,"n_pointer_only":14,"phrase":"12 ran (of which 0 constructed an object rather than computing a result; 10 with no instrument failure: 3 honoured, 0 violated, 7 with no contract checked; 2 where Syntology's instrument failed) · 2 unverified","sample_list":"/paper/scaling-compute-is-not-all-you-need-for#ran","syntology_url":"https://syntology.ai/paper/2312.13131","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2312.13131"}},"official":{"repos":["dedeswim/timm-adv-training"],"state":"official (archive's flag): 12 ran","n_ran":12,"n_constructed":0,"n_ran_no_instrument_failure":10,"n_unverified":2,"ran_from_kinds":["official"]}}},{"url":"/paper/let-all-be-whitened-multi-teacher","slug":"let-all-be-whitened-multi-teacher","title":"Let All be Whitened: Multi-teacher Distillation for Efficient Visual Retrieval","date":"2023-12-15","arxiv_id":"2312.09716","repositories_listed":1,"syntology":{"n":7,"n_ran":3,"n_constructed":0,"n_ran_checked":1,"n_instrument":2,"n_unverified":4,"n_honours":0,"n_violates":0,"n_no_contract":1,"n_pointer_only":2,"phrase":"3 ran (of which 0 constructed an object rather than computing a result; 1 with no instrument failure: 0 honoured, 0 violated, 1 with no contract checked; 2 where Syntology's instrument failed) · 4 unverified","sample_list":"/paper/let-all-be-whitened-multi-teacher#ran","syntology_url":"https://syntology.ai/paper/2312.09716","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2312.09716"}},"official":{"repos":["maryeon/whiten_mtd"],"state":"official (archive's flag): 3 ran","n_ran":3,"n_constructed":0,"n_ran_no_instrument_failure":1,"n_unverified":4,"ran_from_kinds":["official"]}}},{"url":"/paper/multi-modality-is-all-you-need-for","slug":"multi-modality-is-all-you-need-for","title":"Multi-Modality is All You Need for Transferable Recommender Systems","date":"2023-12-15","arxiv_id":"2312.09602","repositories_listed":1,"syntology":null},{"url":"/paper/conform-contrast-is-all-you-need-for-high","slug":"conform-contrast-is-all-you-need-for-high","title":"CONFORM: Contrast is All You Need For High-Fidelity Text-to-Image Diffusion Models","date":"2023-12-11","arxiv_id":"2312.06059","repositories_listed":1,"syntology":null},{"url":"/paper/localization-is-all-you-evaluate-data-leakage","slug":"localization-is-all-you-evaluate-data-leakage","title":"Localization Is All You Evaluate: Data Leakage in Online Mapping Datasets and How to Fix It","date":"2023-12-11","arxiv_id":"2312.06420","repositories_listed":1,"syntology":{"n":2,"n_ran":0,"n_constructed":0,"n_ran_checked":0,"n_instrument":0,"n_unverified":2,"n_honours":0,"n_violates":0,"n_no_contract":0,"n_pointer_only":0,"phrase":"0 ran · 2 unverified","sample_list":"/paper/localization-is-all-you-evaluate-data-leakage#ran","syntology_url":"https://syntology.ai/paper/2312.06420","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2312.06420"}},"official":{"repos":["liljaadam/geographical-splits"],"state":"official: harvested, nothing ran","n_ran":0,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":2,"ran_from_kinds":[]}}},{"url":"/paper/from-big-to-small-without-losing-it-all-text","slug":"from-big-to-small-without-losing-it-all-text","title":"From Big to Small Without Losing It All: Text Augmentation with ChatGPT for Efficient Sentiment Analysis","date":"2023-12-07","arxiv_id":"2312.04720","repositories_listed":1,"syntology":null},{"url":"/paper/is-feedback-all-you-need-leveraging-natural","slug":"is-feedback-all-you-need-leveraging-natural","title":"Is Feedback All You Need? Leveraging Natural Language Feedback in Goal-Conditioned Reinforcement Learning","date":"2023-12-07","arxiv_id":"2312.04736","repositories_listed":1,"syntology":{"n":2,"n_ran":0,"n_constructed":0,"n_ran_checked":0,"n_instrument":0,"n_unverified":2,"n_honours":0,"n_violates":0,"n_no_contract":0,"n_pointer_only":2,"phrase":"0 ran · 2 unverified","sample_list":"/paper/is-feedback-all-you-need-leveraging-natural#ran","syntology_url":"https://syntology.ai/paper/2312.04736","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2312.04736"}},"official":{"repos":["uoe-agents/feedback-dt"],"state":"official: harvested, nothing ran","n_ran":0,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":2,"ran_from_kinds":[]}}},{"url":"/paper/golden-gemini-is-all-you-need-finding-the","slug":"golden-gemini-is-all-you-need-finding-the","title":"Golden Gemini is All You Need: Finding the Sweet Spots for Speaker Verification","date":"2023-12-06","arxiv_id":"2312.03620","repositories_listed":1,"syntology":null},{"url":"/paper/onellm-one-framework-to-align-all-modalities","slug":"onellm-one-framework-to-align-all-modalities","title":"OneLLM: One Framework to Align All Modalities with Language","date":"2023-12-06","arxiv_id":"2312.03700","repositories_listed":1,"syntology":{"n":4,"n_ran":4,"n_constructed":0,"n_ran_checked":2,"n_instrument":2,"n_unverified":0,"n_honours":0,"n_violates":1,"n_no_contract":1,"n_pointer_only":4,"phrase":"4 ran (of which 0 constructed an object rather than computing a result; 2 with no instrument failure: 0 honoured, 1 violated, 1 with no contract checked; 2 where Syntology's instrument failed) · 0 unverified","sample_list":"/paper/onellm-one-framework-to-align-all-modalities#ran","syntology_url":"https://syntology.ai/paper/2312.03700","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2312.03700"}},"official":{"repos":["csuhan/onellm"],"state":"official (archive's flag): 4 ran","n_ran":4,"n_constructed":0,"n_ran_no_instrument_failure":2,"n_unverified":0,"ran_from_kinds":["official"]}}},{"url":"/paper/is-ego-status-all-you-need-for-open-loop-end","slug":"is-ego-status-all-you-need-for-open-loop-end","title":"Is Ego Status All You Need for Open-Loop End-to-End Autonomous Driving?","date":"2023-12-05","arxiv_id":"2312.03031","repositories_listed":1,"syntology":{"n":3,"n_ran":1,"n_constructed":0,"n_ran_checked":1,"n_instrument":0,"n_unverified":2,"n_honours":0,"n_violates":0,"n_no_contract":1,"n_pointer_only":3,"phrase":"1 ran (of which 0 constructed an object rather than computing a result; 1 with no instrument failure: 0 honoured, 0 violated, 1 with no contract checked; 0 where Syntology's instrument failed) · 2 unverified","sample_list":"/paper/is-ego-status-all-you-need-for-open-loop-end#ran","syntology_url":"https://syntology.ai/paper/2312.03031","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2312.03031"}},"official":{"repos":["nvlabs/bev-planner"],"state":"official (archive's flag): 1 ran","n_ran":1,"n_constructed":0,"n_ran_no_instrument_failure":1,"n_unverified":2,"ran_from_kinds":["official"]}}},{"url":"/paper/class-symbolic-regression-gotta-fit-em-all","slug":"class-symbolic-regression-gotta-fit-em-all","title":"Class Symbolic Regression: Gotta Fit 'Em All","date":"2023-12-04","arxiv_id":"2312.01816","repositories_listed":1,"syntology":null},{"url":"/paper/is-underwater-image-enhancement-all-object","slug":"is-underwater-image-enhancement-all-object","title":"Is Underwater Image Enhancement All Object Detectors Need?","date":"2023-11-30","arxiv_id":"2311.18814","repositories_listed":1,"syntology":null},{"url":"/paper/revisiting-proposal-based-object-detection","slug":"revisiting-proposal-based-object-detection","title":"Union-over-Intersections: Object Detection beyond Winner-Takes-All","date":"2023-11-30","arxiv_id":"2311.18512","repositories_listed":1,"syntology":null},{"url":"/paper/are-ensembles-getting-better-all-the-time","slug":"are-ensembles-getting-better-all-the-time","title":"Are Ensembles Getting Better all the Time?","date":"2023-11-29","arxiv_id":"2311.17885","repositories_listed":1,"syntology":null},{"url":"/paper/confidence-is-all-you-need-for-mi-attacks","slug":"confidence-is-all-you-need-for-mi-attacks","title":"Confidence Is All You Need for MI Attacks","date":"2023-11-26","arxiv_id":"2311.15373","repositories_listed":1,"syntology":null},{"url":"/paper/adapter-is-all-you-need-for-tuning-visual","slug":"adapter-is-all-you-need-for-tuning-visual","title":"Adapter is All You Need for Tuning Visual Tasks","date":"2023-11-25","arxiv_id":"2311.15010","repositories_listed":1,"syntology":null},{"url":"/paper/griffon-spelling-out-all-object-locations-at","slug":"griffon-spelling-out-all-object-locations-at","title":"Griffon: Spelling out All Object Locations at Any Granularity with Large Language Models","date":"2023-11-24","arxiv_id":"2311.14552","repositories_listed":1,"syntology":null},{"url":"/paper/query-by-activity-video-in-the-wild","slug":"query-by-activity-video-in-the-wild","title":"Query by Activity Video in the Wild","date":"2023-11-23","arxiv_id":"2311.13895","repositories_listed":1,"syntology":null},{"url":"/paper/unified-classification-and-rejection-a-one","slug":"unified-classification-and-rejection-a-one","title":"Unified Classification and Rejection: A One-versus-All Framework","date":"2023-11-22","arxiv_id":"2311.13355","repositories_listed":1,"syntology":{"n":4,"n_ran":2,"n_constructed":0,"n_ran_checked":0,"n_instrument":2,"n_unverified":2,"n_honours":0,"n_violates":0,"n_no_contract":0,"n_pointer_only":4,"phrase":"2 ran (of which 0 constructed an object rather than computing a result; 0 with no instrument failure: 0 honoured, 0 violated, 0 with no contract checked; 2 where Syntology's instrument failed) · 2 unverified","sample_list":"/paper/unified-classification-and-rejection-a-one#ran","syntology_url":"https://syntology.ai/paper/2311.13355","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2311.13355"}},"official":{"repos":["zhen-cheng121/cpn_ova_unified"],"state":"official: harvested, nothing ran","n_ran":0,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":2,"ran_from_kinds":["unlocated"]}}},{"url":"/paper/white-box-transformers-via-sparse-rate-1","slug":"white-box-transformers-via-sparse-rate-1","title":"White-Box Transformers via Sparse Rate Reduction: Compression Is All There Is?","date":"2023-11-22","arxiv_id":"2311.13110","repositories_listed":1,"syntology":{"n":3,"n_ran":3,"n_constructed":0,"n_ran_checked":1,"n_instrument":2,"n_unverified":0,"n_honours":0,"n_violates":1,"n_no_contract":0,"n_pointer_only":3,"phrase":"3 ran (of which 0 constructed an object rather than computing a result; 1 with no instrument failure: 0 honoured, 1 violated, 0 with no contract checked; 2 where Syntology's instrument failed) · 0 unverified","sample_list":"/paper/white-box-transformers-via-sparse-rate-1#ran","syntology_url":"https://syntology.ai/paper/2311.13110","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2311.13110"}},"official":null}},{"url":"/paper/all-to-all-reconfigurability-with-sparse","slug":"all-to-all-reconfigurability-with-sparse","title":"All-to-all reconfigurability with sparse and higher-order Ising machines","date":"2023-11-21","arxiv_id":"2312.08748","repositories_listed":1,"syntology":null},{"url":"/paper/one-size-fits-all-for-semantic-shifts","slug":"one-size-fits-all-for-semantic-shifts","title":"One Size Fits All for Semantic Shifts: Adaptive Prompt Tuning for Continual Learning","date":"2023-11-18","arxiv_id":"2311.12048","repositories_listed":1,"syntology":{"n":7,"n_ran":6,"n_constructed":0,"n_ran_checked":6,"n_instrument":0,"n_unverified":1,"n_honours":0,"n_violates":0,"n_no_contract":6,"n_pointer_only":1,"phrase":"6 ran (of which 0 constructed an object rather than computing a result; 6 with no instrument failure: 0 honoured, 0 violated, 6 with no contract checked; 0 where Syntology's instrument failed) · 1 unverified","sample_list":"/paper/one-size-fits-all-for-semantic-shifts#ran","syntology_url":"https://syntology.ai/paper/2311.12048","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2311.12048"}},"official":{"repos":["kaist-dmlab/adapromptcl"],"state":"official (archive's flag): 6 ran","n_ran":6,"n_constructed":0,"n_ran_no_instrument_failure":6,"n_unverified":1,"ran_from_kinds":["official"]}}},{"url":"/paper/maven-arg-completing-the-puzzle-of-all-in-one","slug":"maven-arg-completing-the-puzzle-of-all-in-one","title":"MAVEN-Arg: Completing the Puzzle of All-in-One Event Understanding Dataset with Event Argument Annotation","date":"2023-11-15","arxiv_id":"2311.09105","repositories_listed":1,"syntology":null},{"url":"/paper/interaction-is-all-you-need-a-study-of-robots","slug":"interaction-is-all-you-need-a-study-of-robots","title":"Interaction is all You Need? A Study of Robots Ability to Understand and Execute","date":"2023-11-13","arxiv_id":"2311.07150","repositories_listed":1,"syntology":null},{"url":"/paper/a-template-is-all-you-meme","slug":"a-template-is-all-you-meme","title":"A Template Is All You Meme","date":"2023-11-11","arxiv_id":"2311.06649","repositories_listed":1,"syntology":null},{"url":"/paper/all-should-be-equal-in-the-eyes-of-language","slug":"all-should-be-equal-in-the-eyes-of-language","title":"All Should Be Equal in the Eyes of Language Models: Counterfactually Aware Fair Text Generation","date":"2023-11-09","arxiv_id":"2311.05451","repositories_listed":1,"syntology":null},{"url":"/paper/lidar-annotation-is-all-you-need","slug":"lidar-annotation-is-all-you-need","title":"Lidar Annotation Is All You Need","date":"2023-11-08","arxiv_id":"2311.04777","repositories_listed":1,"syntology":null},{"url":"/paper/hierarchical-reinforcement-learning-for-power","slug":"hierarchical-reinforcement-learning-for-power","title":"Hierarchical Reinforcement Learning for Power Network Topology Control","date":"2023-11-03","arxiv_id":"2311.02129","repositories_listed":1,"syntology":null},{"url":"/paper/generated-distributions-are-all-you-need-for","slug":"generated-distributions-are-all-you-need-for","title":"Generated Distributions Are All You Need for Membership Inference Attacks Against Generative Models","date":"2023-10-30","arxiv_id":"2310.19410","repositories_listed":1,"syntology":null},{"url":"/paper/one-for-all-bridge-the-gap-between-1","slug":"one-for-all-bridge-the-gap-between-1","title":"One-for-All: Bridge the Gap Between Heterogeneous Architectures in Knowledge Distillation","date":"2023-10-30","arxiv_id":"2310.19444","repositories_listed":1,"syntology":{"n":3,"n_ran":0,"n_constructed":0,"n_ran_checked":0,"n_instrument":0,"n_unverified":3,"n_honours":0,"n_violates":0,"n_no_contract":0,"n_pointer_only":3,"phrase":"0 ran · 3 unverified","sample_list":"/paper/one-for-all-bridge-the-gap-between-1#ran","syntology_url":"https://syntology.ai/paper/2310.19444","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2310.19444"}},"official":{"repos":["hao840/ofakd"],"state":"official: harvested, nothing ran","n_ran":0,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":3,"ran_from_kinds":[]}}},{"url":"/paper/label-poisoning-is-all-you-need","slug":"label-poisoning-is-all-you-need","title":"Label Poisoning is All You Need","date":"2023-10-29","arxiv_id":"2310.18933","repositories_listed":1,"syntology":{"n":10,"n_ran":6,"n_constructed":0,"n_ran_checked":5,"n_instrument":1,"n_unverified":4,"n_honours":0,"n_violates":0,"n_no_contract":5,"n_pointer_only":1,"phrase":"6 ran (of which 0 constructed an object rather than computing a result; 5 with no instrument failure: 0 honoured, 0 violated, 5 with no contract checked; 1 where Syntology's instrument failed) · 4 unverified","sample_list":"/paper/label-poisoning-is-all-you-need#ran","syntology_url":"https://syntology.ai/paper/2310.18933","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2310.18933"}},"official":{"repos":["SewoongLab/FLIP"],"state":"official (archive's flag): 6 ran","n_ran":6,"n_constructed":0,"n_ran_no_instrument_failure":5,"n_unverified":4,"ran_from_kinds":["official"]}}},{"url":"/paper/always-clear-days-degradation-type-and","slug":"always-clear-days-degradation-type-and","title":"Always Clear Days: Degradation Type and Severity Aware All-In-One Adverse Weather Removal","date":"2023-10-27","arxiv_id":"2310.18293","repositories_listed":1,"syntology":null},{"url":"/paper/one-style-is-all-you-need-to-generate-a-video","slug":"one-style-is-all-you-need-to-generate-a-video","title":"One Style is All you Need to Generate a Video","date":"2023-10-27","arxiv_id":"2310.17835","repositories_listed":1,"syntology":null},{"url":"/paper/19-parameters-is-all-you-need-tiny-neural","slug":"19-parameters-is-all-you-need-tiny-neural","title":"19 Parameters Is All You Need: Tiny Neural Networks for Particle Physics","date":"2023-10-24","arxiv_id":"2310.16121","repositories_listed":1,"syntology":{"n":17,"n_ran":17,"n_constructed":0,"n_ran_checked":13,"n_instrument":4,"n_unverified":0,"n_honours":0,"n_violates":0,"n_no_contract":13,"n_pointer_only":0,"phrase":"17 ran (of which 0 constructed an object rather than computing a result; 13 with no instrument failure: 0 honoured, 0 violated, 13 with no contract checked; 4 where Syntology's instrument failed) · 0 unverified","sample_list":"/paper/19-parameters-is-all-you-need-tiny-neural#ran","syntology_url":"https://syntology.ai/paper/2310.16121","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2310.16121"}},"official":{"repos":["abogatskiy/pelican-nano"],"state":"official (archive's flag): 17 ran","n_ran":17,"n_constructed":0,"n_ran_no_instrument_failure":13,"n_unverified":0,"ran_from_kinds":["official"]}}},{"url":"/paper/neural-collapse-in-multi-label-learning-with","slug":"neural-collapse-in-multi-label-learning-with","title":"Neural Collapse in Multi-label Learning with Pick-all-label Loss","date":"2023-10-24","arxiv_id":"2310.15903","repositories_listed":1,"syntology":{"n":9,"n_ran":4,"n_constructed":0,"n_ran_checked":2,"n_instrument":2,"n_unverified":5,"n_honours":0,"n_violates":0,"n_no_contract":2,"n_pointer_only":9,"phrase":"4 ran (of which 0 constructed an object rather than computing a result; 2 with no instrument failure: 0 honoured, 0 violated, 2 with no contract checked; 2 where Syntology's instrument failed) · 5 unverified","sample_list":"/paper/neural-collapse-in-multi-label-learning-with#ran","syntology_url":"https://syntology.ai/paper/2310.15903","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2310.15903"}},"official":{"repos":["heimine/nc_mlab"],"state":"official (archive's flag): 4 ran","n_ran":4,"n_constructed":0,"n_ran_no_instrument_failure":2,"n_unverified":5,"ran_from_kinds":["official"]}}},{"url":"/paper/learning-fair-representations-with-high","slug":"learning-fair-representations-with-high","title":"Learning Fair Representations with High-Confidence Guarantees","date":"2023-10-23","arxiv_id":"2310.15358","repositories_listed":1,"syntology":null},{"url":"/paper/counterfactual-prediction-under-selective","slug":"counterfactual-prediction-under-selective","title":"Counterfactual Prediction Under Selective Confounding","date":"2023-10-21","arxiv_id":"2310.14064","repositories_listed":1,"syntology":{"n":4,"n_ran":4,"n_constructed":0,"n_ran_checked":4,"n_instrument":0,"n_unverified":0,"n_honours":0,"n_violates":0,"n_no_contract":4,"n_pointer_only":4,"phrase":"4 ran (of which 0 constructed an object rather than computing a result; 4 with no instrument failure: 0 honoured, 0 violated, 4 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified","sample_list":"/paper/counterfactual-prediction-under-selective#ran","syntology_url":"https://syntology.ai/paper/2310.14064","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2310.14064"}},"official":{"repos":["sohaib730/causalml"],"state":"official (archive's flag): 4 ran","n_ran":4,"n_constructed":0,"n_ran_no_instrument_failure":4,"n_unverified":0,"ran_from_kinds":["official"]}}},{"url":"/paper/stabilizing-reinforcement-learning-control-a","slug":"stabilizing-reinforcement-learning-control-a","title":"Stabilizing reinforcement learning control: A modular framework for optimizing over all stable behavior","date":"2023-10-21","arxiv_id":"2310.14098","repositories_listed":1,"syntology":null},{"url":"/paper/not-all-fake-news-is-written-a-dataset-and","slug":"not-all-fake-news-is-written-a-dataset-and","title":"Not all Fake News is Written: A Dataset and Analysis of Misleading Video Headlines","date":"2023-10-20","arxiv_id":"2310.13859","repositories_listed":1,"syntology":null},{"url":"/paper/seq2seq-is-all-you-need-for-coreference","slug":"seq2seq-is-all-you-need-for-coreference","title":"Seq2seq is All You Need for Coreference Resolution","date":"2023-10-20","arxiv_id":"2310.13774","repositories_listed":1,"syntology":{"n":14,"n_ran":11,"n_constructed":0,"n_ran_checked":11,"n_instrument":0,"n_unverified":3,"n_honours":0,"n_violates":0,"n_no_contract":11,"n_pointer_only":3,"phrase":"11 ran (of which 0 constructed an object rather than computing a result; 11 with no instrument failure: 0 honoured, 0 violated, 11 with no contract checked; 0 where Syntology's instrument failed) · 3 unverified","sample_list":"/paper/seq2seq-is-all-you-need-for-coreference#ran","syntology_url":"https://syntology.ai/paper/2310.13774","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2310.13774"}},"official":{"repos":["wenzhengzhang/seq2seqcoref"],"state":"official (archive's flag): 11 ran","n_ran":11,"n_constructed":0,"n_ran_no_instrument_failure":11,"n_unverified":3,"ran_from_kinds":["official"]}}},{"url":"/paper/neural-degradation-representation-learning","slug":"neural-degradation-representation-learning","title":"Neural Degradation Representation Learning for All-In-One Image Restoration","date":"2023-10-19","arxiv_id":"2310.12848","repositories_listed":1,"syntology":{"n":6,"n_ran":5,"n_constructed":0,"n_ran_checked":0,"n_instrument":5,"n_unverified":1,"n_honours":0,"n_violates":0,"n_no_contract":0,"n_pointer_only":4,"phrase":"5 ran (of which 0 constructed an object rather than computing a result; 0 with no instrument failure: 0 honoured, 0 violated, 0 with no contract checked; 5 where Syntology's instrument failed) · 1 unverified","sample_list":"/paper/neural-degradation-representation-learning#ran","syntology_url":"https://syntology.ai/paper/2310.12848","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2310.12848"}},"official":{"repos":["mdyao/NDR-Restore"],"state":"official (archive's flag): 5 ran","n_ran":5,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":1,"ran_from_kinds":["official"]}}},{"url":"/paper/autodir-automatic-all-in-one-image","slug":"autodir-automatic-all-in-one-image","title":"AutoDIR: Automatic All-in-One Image Restoration with Latent Diffusion","date":"2023-10-16","arxiv_id":"2310.10123","repositories_listed":1,"syntology":null},{"url":"/paper/demonstrations-are-all-you-need-advancing","slug":"demonstrations-are-all-you-need-advancing","title":"Demonstrations Are All You Need: Advancing Offensive Content Paraphrasing using In-Context Learning","date":"2023-10-16","arxiv_id":"2310.10707","repositories_listed":1,"syntology":null},{"url":"/paper/one-for-all-all-for-one-bypassing","slug":"one-for-all-all-for-one-bypassing","title":"One For All & All For One: Bypassing Hyperparameter Tuning with Model Averaging For Cross-Lingual Transfer","date":"2023-10-16","arxiv_id":"2310.10532","repositories_listed":1,"syntology":null},{"url":"/paper/not-all-demonstration-examples-are-equally","slug":"not-all-demonstration-examples-are-equally","title":"Not All Demonstration Examples are Equally Beneficial: Reweighting Demonstration Examples for In-Context Learning","date":"2023-10-12","arxiv_id":"2310.08309","repositories_listed":1,"syntology":null},{"url":"/paper/all-languages-matter-on-the-multilingual","slug":"all-languages-matter-on-the-multilingual","title":"All Languages Matter: On the Multilingual Safety of Large Language Models","date":"2023-10-02","arxiv_id":"2310.00905","repositories_listed":1,"syntology":null},{"url":"/paper/it-s-mbr-all-the-way-down-modern-generation","slug":"it-s-mbr-all-the-way-down-modern-generation","title":"It's MBR All the Way Down: Modern Generation Techniques Through the Lens of Minimum Bayes Risk","date":"2023-10-02","arxiv_id":"2310.01387","repositories_listed":1,"syntology":null},{"url":"/paper/linear-attention-is-maybe-all-you-need-to","slug":"linear-attention-is-maybe-all-you-need-to","title":"Linear attention is (maybe) all you need (to understand transformer optimization)","date":"2023-10-02","arxiv_id":"2310.01082","repositories_listed":1,"syntology":{"n":3,"n_ran":3,"n_constructed":0,"n_ran_checked":0,"n_instrument":3,"n_unverified":0,"n_honours":0,"n_violates":0,"n_no_contract":0,"n_pointer_only":3,"phrase":"3 ran (of which 0 constructed an object rather than computing a result; 0 with no instrument failure: 0 honoured, 0 violated, 0 with no contract checked; 3 where Syntology's instrument failed) · 0 unverified","sample_list":"/paper/linear-attention-is-maybe-all-you-need-to#ran","syntology_url":"https://syntology.ai/paper/2310.01082","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2310.01082"}},"official":null}},{"url":"/paper/tigerscore-towards-building-explainable","slug":"tigerscore-towards-building-explainable","title":"TIGERScore: Towards Building Explainable Metric for All Text Generation Tasks","date":"2023-10-01","arxiv_id":"2310.00752","repositories_listed":1,"syntology":{"n":11,"n_ran":8,"n_constructed":0,"n_ran_checked":8,"n_instrument":0,"n_unverified":3,"n_honours":0,"n_violates":0,"n_no_contract":8,"n_pointer_only":0,"phrase":"8 ran (of which 0 constructed an object rather than computing a result; 8 with no instrument failure: 0 honoured, 0 violated, 8 with no contract checked; 0 where Syntology's instrument failed) · 3 unverified","sample_list":"/paper/tigerscore-towards-building-explainable#ran","syntology_url":"https://syntology.ai/paper/2310.00752","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2310.00752"}},"official":{"repos":["TIGER-AI-Lab/TIGERScore"],"state":"official (archive's flag): 8 ran","n_ran":8,"n_constructed":0,"n_ran_no_instrument_failure":8,"n_unverified":3,"ran_from_kinds":["official"]}}},{"url":"/paper/one-for-all-towards-training-one-graph-model","slug":"one-for-all-towards-training-one-graph-model","title":"One for All: Towards Training One Graph Model for All Classification Tasks","date":"2023-09-29","arxiv_id":"2310.00149","repositories_listed":1,"syntology":{"n":18,"n_ran":9,"n_constructed":0,"n_ran_checked":7,"n_instrument":2,"n_unverified":9,"n_honours":0,"n_violates":0,"n_no_contract":7,"n_pointer_only":5,"phrase":"9 ran (of which 0 constructed an object rather than computing a result; 7 with no instrument failure: 0 honoured, 0 violated, 7 with no contract checked; 2 where Syntology's instrument failed) · 9 unverified","sample_list":"/paper/one-for-all-towards-training-one-graph-model#ran","syntology_url":"https://syntology.ai/paper/2310.00149","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2310.00149"}},"official":{"repos":["lechengkong/oneforall"],"state":"official (archive's flag): 9 ran","n_ran":9,"n_constructed":0,"n_ran_no_instrument_failure":7,"n_unverified":9,"ran_from_kinds":["official"]}}},{"url":"/paper/advanced-volleyball-stats-for-all-levels","slug":"advanced-volleyball-stats-for-all-levels","title":"Advanced Volleyball Stats for All Levels: Automatic Setting Tactic Detection and Classification with a Single Camera","date":"2023-09-26","arxiv_id":"2309.14753","repositories_listed":1,"syntology":{"n":5,"n_ran":5,"n_constructed":0,"n_ran_checked":5,"n_instrument":0,"n_unverified":0,"n_honours":0,"n_violates":0,"n_no_contract":5,"n_pointer_only":5,"phrase":"5 ran (of which 0 constructed an object rather than computing a result; 5 with no instrument failure: 0 honoured, 0 violated, 5 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified","sample_list":"/paper/advanced-volleyball-stats-for-all-levels#ran","syntology_url":"https://syntology.ai/paper/2309.14753","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2309.14753"}},"official":{"repos":["volleyIEEE/VolleyStats"],"state":"official (archive's flag): 5 ran","n_ran":5,"n_constructed":0,"n_ran_no_instrument_failure":5,"n_unverified":0,"ran_from_kinds":["official"]}}},{"url":"/paper/scaling-up-cometkiwi-unbabel-ist-2023","slug":"scaling-up-cometkiwi-unbabel-ist-2023","title":"Scaling up COMETKIWI: Unbabel-IST 2023 Submission for the Quality Estimation Shared Task","date":"2023-09-21","arxiv_id":"2309.11925","repositories_listed":1,"syntology":null}],"record_sha256":"e3a1adcf45816c236fdfdc40bc3f9a480dda0ef5c69aa1ff8caaef06a3b162a8","record_changed_at":"2026-09-28","record_changed_at_basis":"first_hashed"}