{"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":"/method/test/papers/3","list_of":"/method/test","method":"Test","archive":{"snapshot":"2025-07-28"},"syntology_read_at":"2026-09-28T10:30:06+00:00","order":"archive","order_definition":"date (newest first), then slug","page":3,"pages_in_order":65,"rows_per_page":100,"rows":[201,300],"of":6434,"counts":{"archive_papers_tagged":6434,"with_a_code_link":2339,"where_syntology_ran_a_sample":517,"not_listed_spam_title":0,"listed":6434,"listed_where_code_ran":517,"where_syntology_ran_a_sample_split":{"with_a_run_with_no_instrument_failure":428,"every_run_a_failure_of_syntologys_instrument":89,"listed_with_a_run_with_no_instrument_failure":428,"listed_every_run_a_failure_of_syntologys_instrument":89,"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":"/method/test","prev":"/method/test/papers/2","next":"/method/test/papers/4","papers":[{"paper":"/paper/spac-net-synthetic-pose-aware-animal","slug":"spac-net-synthetic-pose-aware-animal","title":"SPAC-Net: Synthetic Pose-aware Animal ControlNet for Enhanced Pose Estimation","date":"2023-05-29","arxiv_id":"2305.17845","n_code_links":1,"syntology":null},{"paper":"/paper/test-time-adaptation-with-clip-reward-for","slug":"test-time-adaptation-with-clip-reward-for","title":"Test-Time Adaptation with CLIP Reward for Zero-Shot Generalization in Vision-Language Models","date":"2023-05-29","arxiv_id":"2305.18010","n_code_links":1,"syntology":{"ran":5,"of":10,"n_ran_checked":3,"n_instrument":2,"unverified":5,"pointer_only":2,"phrase":"5 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; 2 where Syntology's instrument failed) · 5 unverified","official":{"repos":["mzhaoshuai/rlcf"],"state":"official (archive's flag): 5 ran","n_ran":5,"n_constructed":0,"n_ran_no_instrument_failure":3,"n_unverified":5,"ran_from_kinds":["official"]}}},{"paper":"/paper/test-time-training-on-nearest-neighbors-for","slug":"test-time-training-on-nearest-neighbors-for","title":"Test-Time Training on Nearest Neighbors for Large Language Models","date":"2023-05-29","arxiv_id":"2305.18466","n_code_links":1,"syntology":{"ran":3,"of":5,"n_ran_checked":3,"n_instrument":0,"unverified":2,"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) · 2 unverified","official":{"repos":["socialfoundations/tttlm"],"state":"official (archive's flag): 3 ran","n_ran":3,"n_constructed":0,"n_ran_no_instrument_failure":3,"n_unverified":2,"ran_from_kinds":["official"]}}},{"paper":null,"slug":"the-minimax-risk-in-testing-the-histogram-of","title":"The Minimax Risk in Testing Uniformity of Poisson Data under Missing Ball Alternatives","date":"2023-05-29","arxiv_id":"2305.18111","n_code_links":0,"syntology":null},{"paper":"/paper/towards-a-robust-framework-for-nerf","slug":"towards-a-robust-framework-for-nerf","title":"Towards a Robust Framework for NeRF Evaluation","date":"2023-05-29","arxiv_id":"2305.18079","n_code_links":1,"syntology":null},{"paper":"/paper/towards-constituting-mathematical-structures","slug":"towards-constituting-mathematical-structures","title":"Towards Constituting Mathematical Structures for Learning to Optimize","date":"2023-05-29","arxiv_id":"2305.18577","n_code_links":1,"syntology":{"ran":4,"of":5,"n_ran_checked":4,"n_instrument":0,"unverified":1,"pointer_only":0,"phrase":"4 ran (of which 0 constructed an object rather than computing a result; 4 with no instrument failure: 1 honoured, 0 violated, 3 with no contract checked; 0 where Syntology's instrument failed) · 1 unverified","official":{"repos":["xhchrn/ms4l2o"],"state":"official (archive's flag): 4 ran","n_ran":4,"n_constructed":0,"n_ran_no_instrument_failure":4,"n_unverified":1,"ran_from_kinds":["official"]}}},{"paper":null,"slug":"bridging-tsls-and-jive","title":"Estimating overidentified linear models with heteroskedasticity and outliers","date":"2023-05-28","arxiv_id":"2305.17615","n_code_links":0,"syntology":null},{"paper":"/paper/constrained-optimization-via-exact-augmented","slug":"constrained-optimization-via-exact-augmented","title":"Constrained Optimization via Exact Augmented Lagrangian and Randomized Iterative Sketching","date":"2023-05-28","arxiv_id":"2305.18379","n_code_links":1,"syntology":null},{"paper":"/paper/determinantal-point-process-attention-over","slug":"determinantal-point-process-attention-over","title":"Determinantal Point Process Attention Over Grid Cell Code Supports Out of Distribution Generalization","date":"2023-05-28","arxiv_id":"2305.18417","n_code_links":1,"syntology":null},{"paper":null,"slug":"hypertime-hyperparameter-optimization-for","title":"HyperTime: Hyperparameter Optimization for Combating Temporal Distribution Shifts","date":"2023-05-28","arxiv_id":"2305.18421","n_code_links":0,"syntology":null},{"paper":"/paper/indl-a-new-datasets-and-benchmark-for-in","slug":"indl-a-new-datasets-and-benchmark-for-in","title":"InDL: A New Dataset and Benchmark for In-Diagram Logic Interpretation based on Visual Illusion","date":"2023-05-28","arxiv_id":"2305.17716","n_code_links":1,"syntology":null},{"paper":null,"slug":"k-nnn-nearest-neighbors-of-neighbors-for","title":"k-NNN: Nearest Neighbors of Neighbors for Anomaly Detection","date":"2023-05-28","arxiv_id":"2305.17695","n_code_links":0,"syntology":null},{"paper":"/paper/new-cycle-based-formulation-cost-function-and","slug":"new-cycle-based-formulation-cost-function-and","title":"New Cycle-based Formulation, Cost Function, and Heuristics for DC OPF Based Controlled Islanding","date":"2023-05-28","arxiv_id":"2305.17672","n_code_links":1,"syntology":null},{"paper":null,"slug":"potential-based-credit-assignment-for","title":"Potential-based Credit Assignment for Cooperative RL-based Testing of Autonomous Vehicles","date":"2023-05-28","arxiv_id":"2305.18380","n_code_links":0,"syntology":null},{"paper":"/paper/repeated-random-sampling-for-minimizing-the","slug":"repeated-random-sampling-for-minimizing-the","title":"Repeated Random Sampling for Minimizing the Time-to-Accuracy of Learning","date":"2023-05-28","arxiv_id":"2305.18424","n_code_links":1,"syntology":null},{"paper":"/paper/rusentne-2023-evaluating-entity-oriented","slug":"rusentne-2023-evaluating-entity-oriented","title":"RuSentNE-2023: Evaluating Entity-Oriented Sentiment Analysis on Russian News Texts","date":"2023-05-28","arxiv_id":"2305.17679","n_code_links":1,"syntology":null},{"paper":null,"slug":"targeted-data-generation-finding-and-fixing","title":"Targeted Data Generation: Finding and Fixing Model Weaknesses","date":"2023-05-28","arxiv_id":"2305.17804","n_code_links":0,"syntology":null},{"paper":null,"slug":"time-varying-vector-error-correction-models","title":"Time-Varying Vector Error-Correction Models: Estimation and Inference","date":"2023-05-28","arxiv_id":"2305.17829","n_code_links":0,"syntology":null},{"paper":"/paper/a-hybrid-quantum-classical-approach-based-on","slug":"a-hybrid-quantum-classical-approach-based-on","title":"A Hybrid Quantum-Classical Approach based on the Hadamard Transform for the Convolutional Layer","date":"2023-05-27","arxiv_id":"2305.17510","n_code_links":1,"syntology":{"ran":5,"of":6,"n_ran_checked":3,"n_instrument":2,"unverified":1,"pointer_only":0,"phrase":"5 ran (of which 2 constructed an object rather than computing a result; 3 with no instrument failure: 1 honoured, 0 violated, 2 with no contract checked; 2 where Syntology's instrument failed) · 1 unverified","official":{"repos":["phy710/icml2023-ht"],"state":"official (archive's flag): 5 ran","n_ran":5,"n_constructed":2,"n_ran_no_instrument_failure":3,"n_unverified":1,"ran_from_kinds":["official"]}}},{"paper":"/paper/a-match-made-in-heaven-a-multi-task-framework","slug":"a-match-made-in-heaven-a-multi-task-framework","title":"A Match Made in Heaven: A Multi-task Framework for Hyperbole and Metaphor Detection","date":"2023-05-27","arxiv_id":"2305.17480","n_code_links":1,"syntology":null},{"paper":"/paper/a-zero-few-shot-anomaly-classification-and","slug":"a-zero-few-shot-anomaly-classification-and","title":"APRIL-GAN: A Zero-/Few-Shot Anomaly Classification and Segmentation Method for CVPR 2023 VAND Workshop Challenge Tracks 1&2: 1st Place on Zero-shot AD and 4th Place on Few-shot AD","date":"2023-05-27","arxiv_id":"2305.17382","n_code_links":2,"syntology":{"ran":6,"of":10,"n_ran_checked":4,"n_instrument":2,"unverified":4,"pointer_only":7,"phrase":"6 ran (of which 0 constructed an object rather than computing a result; 4 with no instrument failure: 0 honoured, 1 violated, 3 with no contract checked; 2 where Syntology's instrument failed) · 4 unverified","official":{"repos":["bychelsea/vand-april-gan"],"state":"official (archive's flag): 6 ran","n_ran":6,"n_constructed":0,"n_ran_no_instrument_failure":4,"n_unverified":4,"ran_from_kinds":["official"]}}},{"paper":"/paper/an-investigation-into-the-effects-of-pre","slug":"an-investigation-into-the-effects-of-pre","title":"Diagnosing Transformers: Illuminating Feature Spaces for Clinical Decision-Making","date":"2023-05-27","arxiv_id":"2305.17588","n_code_links":1,"syntology":null},{"paper":null,"slug":"attention-schema-in-neural-agents","title":"Attention Schema in Neural Agents","date":"2023-05-27","arxiv_id":"2305.17375","n_code_links":0,"syntology":null},{"paper":null,"slug":"automatic-roof-type-classification-through","title":"Automatic Roof Type Classification Through Machine Learning for Regional Wind Risk Assessment","date":"2023-05-27","arxiv_id":"2305.17315","n_code_links":0,"syntology":null},{"paper":null,"slug":"financial-misstatement-detection-a-realistic","title":"Financial misstatement detection: a realistic evaluation","date":"2023-05-27","arxiv_id":"2305.17457","n_code_links":0,"syntology":null},{"paper":"/paper/fisheye8k-a-benchmark-and-dataset-for-fisheye","slug":"fisheye8k-a-benchmark-and-dataset-for-fisheye","title":"FishEye8K: A Benchmark and Dataset for Fisheye Camera Object Detection","date":"2023-05-27","arxiv_id":"2305.17449","n_code_links":1,"syntology":null},{"paper":null,"slug":"fully-automatic-gym-exercises-recording-an","title":"Fully Automatic Gym Exercises Recording: An IoT Solution","date":"2023-05-27","arxiv_id":"2305.17594","n_code_links":0,"syntology":null},{"paper":"/paper/grounding-characters-and-places-in-narrative","slug":"grounding-characters-and-places-in-narrative","title":"Grounding Characters and Places in Narrative Texts","date":"2023-05-27","arxiv_id":"2305.17561","n_code_links":1,"syntology":null},{"paper":null,"slug":"learning-capacity-a-measure-of-the-effective","title":"Learning Capacity: A Measure of the Effective Dimensionality of a Model","date":"2023-05-27","arxiv_id":"2305.17332","n_code_links":0,"syntology":null},{"paper":"/paper/query-efficient-black-box-red-teaming-via","slug":"query-efficient-black-box-red-teaming-via","title":"Query-Efficient Black-Box Red Teaming via Bayesian Optimization","date":"2023-05-27","arxiv_id":"2305.17444","n_code_links":1,"syntology":{"ran":1,"of":1,"n_ran_checked":1,"n_instrument":0,"unverified":0,"pointer_only":0,"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) · 0 unverified","official":{"repos":["snu-mllab/bayesian-red-teaming"],"state":"official (archive's flag): 1 ran","n_ran":1,"n_constructed":0,"n_ran_no_instrument_failure":1,"n_unverified":0,"ran_from_kinds":["official"]}}},{"paper":"/paper/a-hierarchical-approach-to-population","slug":"a-hierarchical-approach-to-population","title":"A Hierarchical Approach to Population Training for Human-AI Collaboration","date":"2023-05-26","arxiv_id":"2305.16708","n_code_links":1,"syntology":null},{"paper":null,"slug":"a-mechanism-for-sample-efficient-in-context","title":"A Mechanism for Sample-Efficient In-Context Learning for Sparse Retrieval Tasks","date":"2023-05-26","arxiv_id":"2305.17040","n_code_links":0,"syntology":null},{"paper":"/paper/beyond-chain-of-thought-effective-graph-of","slug":"beyond-chain-of-thought-effective-graph-of","title":"Beyond Chain-of-Thought, Effective Graph-of-Thought Reasoning in Language Models","date":"2023-05-26","arxiv_id":"2305.16582","n_code_links":2,"syntology":{"ran":2,"of":2,"n_ran_checked":0,"n_instrument":2,"unverified":0,"pointer_only":2,"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) · 0 unverified","official":{"repos":["zoeyyao27/graph-of-thought"],"state":"official (archive's flag): 2 ran","n_ran":2,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":0,"ran_from_kinds":["official"]}}},{"paper":null,"slug":"calibration-of-transformer-based-models-for","title":"Calibration of Transformer-based Models for Identifying Stress and Depression in Social Media","date":"2023-05-26","arxiv_id":"2305.16797","n_code_links":0,"syntology":null},{"paper":null,"slug":"causality-between-investor-sentiment-and-the","title":"Causality between investor sentiment and the shares return on the Moroccan and Tunisian financial markets","date":"2023-05-26","arxiv_id":"2305.16632","n_code_links":0,"syntology":null},{"paper":null,"slug":"chatgpt-a-study-on-its-utility-for-ubiquitous","title":"ChatGPT: A Study on its Utility for Ubiquitous Software Engineering Tasks","date":"2023-05-26","arxiv_id":"2305.16837","n_code_links":0,"syntology":null},{"paper":null,"slug":"comparing-long-short-term-memory-lstm-and","title":"Preliminary studies: Comparing LSTM and BLSTM Deep Neural Networks for Power Consumption Prediction","date":"2023-05-26","arxiv_id":"2305.16546","n_code_links":0,"syntology":null},{"paper":"/paper/counterfactual-reasoning-testing-language","slug":"counterfactual-reasoning-testing-language","title":"Counterfactual reasoning: Testing language models' understanding of hypothetical scenarios","date":"2023-05-26","arxiv_id":"2305.16572","n_code_links":1,"syntology":null},{"paper":"/paper/datafinder-scientific-dataset-recommendation","slug":"datafinder-scientific-dataset-recommendation","title":"DataFinder: Scientific Dataset Recommendation from Natural Language Descriptions","date":"2023-05-26","arxiv_id":"2305.16636","n_code_links":1,"syntology":null},{"paper":"/paper/dual-bayesian-resnet-a-deep-learning-approach-1","slug":"dual-bayesian-resnet-a-deep-learning-approach-1","title":"Dual Bayesian ResNet: A Deep Learning Approach to Heart Murmur Detection","date":"2023-05-26","arxiv_id":"2305.16691","n_code_links":1,"syntology":null},{"paper":"/paper/duality-in-multi-view-restricted-kernel","slug":"duality-in-multi-view-restricted-kernel","title":"Duality in Multi-View Restricted Kernel Machines","date":"2023-05-26","arxiv_id":"2305.17251","n_code_links":2,"syntology":{"ran":3,"of":6,"n_ran_checked":2,"n_instrument":1,"unverified":3,"pointer_only":6,"phrase":"3 ran (of which 2 constructed an object rather than computing a result; 2 with no instrument failure: 0 honoured, 0 violated, 2 with no contract checked; 1 where Syntology's instrument failed) · 3 unverified","official":{"repos":["sonnyachten/dmvrkm","irobot00/mv_rkm_duality"],"state":"official (archive's flag): 3 ran","n_ran":3,"n_constructed":2,"n_ran_no_instrument_failure":2,"n_unverified":3,"ran_from_kinds":["official"]}}},{"paper":null,"slug":"efficient-detection-of-llm-generated-texts","title":"Efficient Detection of LLM-generated Texts with a Bayesian Surrogate Model","date":"2023-05-26","arxiv_id":"2305.16617","n_code_links":0,"syntology":null},{"paper":null,"slug":"emergent-agentic-transformer-from-chain-of","title":"Emergent Agentic Transformer from Chain of Hindsight Experience","date":"2023-05-26","arxiv_id":"2305.16554","n_code_links":0,"syntology":null},{"paper":"/paper/fourier-deeponet-fourier-enhanced-deep","slug":"fourier-deeponet-fourier-enhanced-deep","title":"Fourier-DeepONet: Fourier-enhanced deep operator networks for full waveform inversion with improved accuracy, generalizability, and robustness","date":"2023-05-26","arxiv_id":"2305.17289","n_code_links":1,"syntology":null},{"paper":null,"slug":"generalization-error-without-independence","title":"Double Descent and Overfitting under Noisy Inputs and Distribution Shift for Linear Denoisers","date":"2023-05-26","arxiv_id":"2305.17297","n_code_links":0,"syntology":null},{"paper":"/paper/ghost-noise-for-regularizing-deep-neural","slug":"ghost-noise-for-regularizing-deep-neural","title":"Ghost Noise for Regularizing Deep Neural Networks","date":"2023-05-26","arxiv_id":"2305.17205","n_code_links":1,"syntology":{"ran":6,"of":6,"n_ran_checked":6,"n_instrument":0,"unverified":0,"pointer_only":0,"phrase":"6 ran (of which 0 constructed an object rather than computing a result; 6 with no instrument failure: 3 honoured, 0 violated, 3 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified","official":{"repos":["epfml/ghost-noise"],"state":"official (archive's flag): 6 ran","n_ran":6,"n_constructed":0,"n_ran_no_instrument_failure":6,"n_unverified":0,"ran_from_kinds":["official"]}}},{"paper":"/paper/gvdoc-graph-based-visual-document","slug":"gvdoc-graph-based-visual-document","title":"GVdoc: Graph-based Visual Document Classification","date":"2023-05-26","arxiv_id":"2305.17219","n_code_links":1,"syntology":null},{"paper":null,"slug":"knowledge-extraction-with-interval-temporal","title":"Knowledge Extraction with Interval Temporal Logic Decision Trees","date":"2023-05-26","arxiv_id":"2305.16864","n_code_links":0,"syntology":null},{"paper":"/paper/lanistr-multimodal-learning-from-structured","slug":"lanistr-multimodal-learning-from-structured","title":"LANISTR: Multimodal Learning from Structured and Unstructured Data","date":"2023-05-26","arxiv_id":"2305.16556","n_code_links":1,"syntology":null},{"paper":"/paper/levin-tree-search-with-context-models","slug":"levin-tree-search-with-context-models","title":"Levin Tree Search with Context Models","date":"2023-05-26","arxiv_id":"2305.16945","n_code_links":2,"syntology":null},{"paper":"/paper/llms-and-the-abstraction-and-reasoning-corpus","slug":"llms-and-the-abstraction-and-reasoning-corpus","title":"LLMs and the Abstraction and Reasoning Corpus: Successes, Failures, and the Importance of Object-based Representations","date":"2023-05-26","arxiv_id":"2305.18354","n_code_links":1,"syntology":null},{"paper":null,"slug":"people-and-places-of-historical-europe","title":"People and Places of Historical Europe: Bootstrapping Annotation Pipeline and a New Corpus of Named Entities in Late Medieval Texts","date":"2023-05-26","arxiv_id":"2305.16718","n_code_links":0,"syntology":null},{"paper":"/paper/randomized-positional-encodings-boost-length","slug":"randomized-positional-encodings-boost-length","title":"Randomized Positional Encodings Boost Length Generalization of Transformers","date":"2023-05-26","arxiv_id":"2305.16843","n_code_links":1,"syntology":{"ran":1,"of":1,"n_ran_checked":0,"n_instrument":1,"unverified":0,"pointer_only":0,"phrase":"1 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; 1 where Syntology's instrument failed) · 0 unverified","official":{"repos":["deepmind/randomized_positional_encodings"],"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"]}}},{"paper":"/paper/robust-lane-detection-through-self-pre","slug":"robust-lane-detection-through-self-pre","title":"Robust Lane Detection through Self Pre-training with Masked Sequential Autoencoders and Fine-tuning with Customized PolyLoss","date":"2023-05-26","arxiv_id":"2305.17271","n_code_links":0,"syntology":null},{"paper":"/paper/the-brain-tumor-segmentation-brats-challenge-2","slug":"the-brain-tumor-segmentation-brats-challenge-2","title":"The Brain Tumor Segmentation (BraTS) Challenge 2023: Focus on Pediatrics (CBTN-CONNECT-DIPGR-ASNR-MICCAI BraTS-PEDs)","date":"2023-05-26","arxiv_id":"2305.17033","n_code_links":1,"syntology":null},{"paper":null,"slug":"a-diagnosis-algorithms-for-a-rotary-indexing","title":"A Diagnosis Algorithms for a Rotary Indexing Machine","date":"2023-05-25","arxiv_id":"2305.15934","n_code_links":0,"syntology":null},{"paper":"/paper/bhasha-abhijnaanam-native-script-and","slug":"bhasha-abhijnaanam-native-script-and","title":"Bhasha-Abhijnaanam: Native-script and romanized Language Identification for 22 Indic languages","date":"2023-05-25","arxiv_id":"2305.15814","n_code_links":1,"syntology":null},{"paper":"/paper/candidate-set-re-ranking-for-composed-image","slug":"candidate-set-re-ranking-for-composed-image","title":"Candidate Set Re-ranking for Composed Image Retrieval with Dual Multi-modal Encoder","date":"2023-05-25","arxiv_id":"2305.16304","n_code_links":2,"syntology":{"ran":4,"of":6,"n_ran_checked":4,"n_instrument":0,"unverified":2,"pointer_only":1,"phrase":"4 ran (of which 0 constructed an object rather than computing a result; 4 with no instrument failure: 0 honoured, 1 violated, 3 with no contract checked; 0 where Syntology's instrument failed) · 2 unverified","official":{"repos":["Cuberick-Orion/Candidate-Reranking-CIR"],"state":"official (archive's flag): 4 ran","n_ran":4,"n_constructed":0,"n_ran_no_instrument_failure":4,"n_unverified":1,"ran_from_kinds":["official"]}}},{"paper":null,"slug":"channelized-analog-microwave-short-time","title":"Channelized analog microwave short-time Fourier transform in the optical domain with improved measurement performance","date":"2023-05-25","arxiv_id":"2305.15636","n_code_links":0,"syntology":null},{"paper":null,"slug":"chatgpt-for-plc-dcs-control-logic-generation","title":"ChatGPT for PLC/DCS Control Logic Generation","date":"2023-05-25","arxiv_id":"2305.15809","n_code_links":0,"syntology":null},{"paper":null,"slug":"classifying-rhoticity-of-r-in-speech-sound","title":"Classifying Rhoticity of /r/ in Speech Sound Disorder using Age-and-Sex Normalized Formants","date":"2023-05-25","arxiv_id":"2305.16111","n_code_links":0,"syntology":null},{"paper":"/paper/concept-centric-transformers-concept","slug":"concept-centric-transformers-concept","title":"Concept-Centric Transformers: Enhancing Model Interpretability through Object-Centric Concept Learning within a Shared Global Workspace","date":"2023-05-25","arxiv_id":"2305.15775","n_code_links":2,"syntology":null},{"paper":"/paper/counterfactual-generative-models-for-time","slug":"counterfactual-generative-models-for-time","title":"Counterfactual Generative Models for Time-Varying Treatments","date":"2023-05-25","arxiv_id":"2305.15742","n_code_links":1,"syntology":null},{"paper":"/paper/detecting-adversarial-data-by-probing","slug":"detecting-adversarial-data-by-probing","title":"Detecting Adversarial Data by Probing Multiple Perturbations Using Expected Perturbation Score","date":"2023-05-25","arxiv_id":"2305.16035","n_code_links":1,"syntology":{"ran":2,"of":2,"n_ran_checked":0,"n_instrument":2,"unverified":0,"pointer_only":2,"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) · 0 unverified","official":{"repos":["zshsh98/eps-ad"],"state":"official (archive's flag): 2 ran","n_ran":2,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":0,"ran_from_kinds":["official"]}}},{"paper":"/paper/detecting-dataset-drift-and-non-iid-sampling","slug":"detecting-dataset-drift-and-non-iid-sampling","title":"Detecting Dataset Drift and Non-IID Sampling via k-Nearest Neighbors","date":"2023-05-25","arxiv_id":"2305.15696","n_code_links":1,"syntology":null},{"paper":null,"slug":"differentially-private-latent-diffusion","title":"DP-LDMs: Differentially Private Latent Diffusion Models","date":"2023-05-25","arxiv_id":"2305.15759","n_code_links":0,"syntology":null},{"paper":null,"slug":"dropout-drops-double-descent","title":"Dropout Drops Double Descent","date":"2023-05-25","arxiv_id":"2305.16179","n_code_links":0,"syntology":null},{"paper":"/paper/guided-attention-for-next-active-object-ego4d","slug":"guided-attention-for-next-active-object-ego4d","title":"Guided Attention for Next Active Object @ EGO4D STA Challenge","date":"2023-05-25","arxiv_id":"2305.16066","n_code_links":1,"syntology":null},{"paper":null,"slug":"human-machine-comparison-for-cross-race-face","title":"Human-Machine Comparison for Cross-Race Face Verification: Race Bias at the Upper Limits of Performance?","date":"2023-05-25","arxiv_id":"2305.16443","n_code_links":0,"syntology":null},{"paper":"/paper/indictrans2-towards-high-quality-and","slug":"indictrans2-towards-high-quality-and","title":"IndicTrans2: Towards High-Quality and Accessible Machine Translation Models for all 22 Scheduled Indian Languages","date":"2023-05-25","arxiv_id":"2305.16307","n_code_links":1,"syntology":{"ran":6,"of":8,"n_ran_checked":4,"n_instrument":2,"unverified":2,"pointer_only":1,"phrase":"6 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; 2 where Syntology's instrument failed) · 2 unverified","official":{"repos":["ai4bharat/indictrans2"],"state":"official (archive's flag): 6 ran","n_ran":6,"n_constructed":0,"n_ran_no_instrument_failure":4,"n_unverified":2,"ran_from_kinds":["official"]}}},{"paper":null,"slug":"information-encoded-in-gene-frequency","title":"Information encoded in gene-frequency trajectories","date":"2023-05-25","arxiv_id":"2305.16104","n_code_links":0,"syntology":null},{"paper":null,"slug":"leveraging-object-detection-for-the","title":"Leveraging object detection for the identification of lung cancer","date":"2023-05-25","arxiv_id":"2305.15813","n_code_links":0,"syntology":null},{"paper":null,"slug":"machine-learning-based-automatic","title":"Machine Learning-Based Automatic Cardiovascular Disease Diagnosis Using Two ECG Leads","date":"2023-05-25","arxiv_id":"2305.16055","n_code_links":0,"syntology":null},{"paper":null,"slug":"umat-uncertainty-aware-single-image-high-1","title":"UMat: Uncertainty-Aware Single Image High Resolution Material Capture","date":"2023-05-25","arxiv_id":"2305.16312","n_code_links":0,"syntology":null},{"paper":"/paper/uncovering-and-categorizing-social-biases-in","slug":"uncovering-and-categorizing-social-biases-in","title":"Uncovering and Categorizing Social Biases in Text-to-SQL","date":"2023-05-25","arxiv_id":"2305.16253","n_code_links":1,"syntology":null},{"paper":"/paper/union-subgraph-neural-networks","slug":"union-subgraph-neural-networks","title":"Union Subgraph Neural Networks","date":"2023-05-25","arxiv_id":"2305.15747","n_code_links":1,"syntology":null},{"paper":null,"slug":"visually-grounded-few-shot-word-acquisition","title":"Visually grounded few-shot word acquisition with fewer shots","date":"2023-05-25","arxiv_id":"2305.15937","n_code_links":0,"syntology":null},{"paper":null,"slug":"2305-15042","title":"Test like you Train in Implicit Deep Learning","date":"2023-05-24","arxiv_id":"2305.15042","n_code_links":0,"syntology":null},{"paper":"/paper/a-causal-view-of-entity-bias-in-large","slug":"a-causal-view-of-entity-bias-in-large","title":"A Causal View of Entity Bias in (Large) Language Models","date":"2023-05-24","arxiv_id":"2305.14695","n_code_links":1,"syntology":{"ran":2,"of":2,"n_ran_checked":1,"n_instrument":1,"unverified":0,"pointer_only":0,"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","official":{"repos":["luka-group/causal-view-of-entity-bias"],"state":"official (archive's flag): 2 ran","n_ran":2,"n_constructed":0,"n_ran_no_instrument_failure":1,"n_unverified":0,"ran_from_kinds":["official"]}}},{"paper":"/paper/are-pre-trained-language-models-useful-for","slug":"are-pre-trained-language-models-useful-for","title":"Are Pre-trained Language Models Useful for Model Ensemble in Chinese Grammatical Error Correction?","date":"2023-05-24","arxiv_id":"2305.15183","n_code_links":1,"syntology":null},{"paper":null,"slug":"association-of-stroke-lesion-distributions","title":"Association of stroke lesion distributions with atrial fibrillation detected after stroke","date":"2023-05-24","arxiv_id":"2305.14609","n_code_links":0,"syntology":null},{"paper":"/paper/automated-refugee-case-analysis-an-nlp","slug":"automated-refugee-case-analysis-an-nlp","title":"Automated Refugee Case Analysis: An NLP Pipeline for Supporting Legal Practitioners","date":"2023-05-24","arxiv_id":"2305.15533","n_code_links":1,"syntology":null},{"paper":null,"slug":"benchmarking-arabic-ai-with-large-language","title":"LAraBench: Benchmarking Arabic AI with Large Language Models","date":"2023-05-24","arxiv_id":"2305.14982","n_code_links":0,"syntology":null},{"paper":null,"slug":"challenges-of-ela-guided-function-evolution","title":"Challenges of ELA-guided Function Evolution using Genetic Programming","date":"2023-05-24","arxiv_id":"2305.15245","n_code_links":0,"syntology":null},{"paper":"/paper/coverage-based-example-selection-for-in","slug":"coverage-based-example-selection-for-in","title":"Coverage-based Example Selection for In-Context Learning","date":"2023-05-24","arxiv_id":"2305.14907","n_code_links":1,"syntology":{"ran":4,"of":4,"n_ran_checked":4,"n_instrument":0,"unverified":0,"pointer_only":0,"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","official":{"repos":["shivanshu-gupta/icl-coverage"],"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"]}}},{"paper":"/paper/diffusion-based-audio-inpainting","slug":"diffusion-based-audio-inpainting","title":"Diffusion-Based Audio Inpainting","date":"2023-05-24","arxiv_id":"2305.15266","n_code_links":1,"syntology":{"ran":4,"of":5,"n_ran_checked":1,"n_instrument":3,"unverified":1,"pointer_only":0,"phrase":"4 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; 3 where Syntology's instrument failed) · 1 unverified","official":{"repos":["eloimoliner/audio-inpainting-diffusion"],"state":"official (archive's flag): 4 ran","n_ran":4,"n_constructed":0,"n_ran_no_instrument_failure":1,"n_unverified":1,"ran_from_kinds":["official"]}}},{"paper":null,"slug":"dolphin-a-challenging-and-diverse-benchmark","title":"Dolphin: A Challenging and Diverse Benchmark for Arabic NLG","date":"2023-05-24","arxiv_id":"2305.14989","n_code_links":0,"syntology":null},{"paper":null,"slug":"dynstatf-an-efficient-feature-fusion-strategy","title":"DynStatF: An Efficient Feature Fusion Strategy for LiDAR 3D Object Detection","date":"2023-05-24","arxiv_id":"2305.15219","n_code_links":0,"syntology":null},{"paper":"/paper/estimating-large-language-model-capabilities","slug":"estimating-large-language-model-capabilities","title":"Estimating Large Language Model Capabilities without Labeled Test Data","date":"2023-05-24","arxiv_id":"2305.14802","n_code_links":1,"syntology":null},{"paper":"/paper/evaluating-nlg-evaluation-metrics-a","slug":"evaluating-nlg-evaluation-metrics-a","title":"Evaluating Evaluation Metrics: A Framework for Analyzing NLG Evaluation Metrics using Measurement Theory","date":"2023-05-24","arxiv_id":"2305.14889","n_code_links":1,"syntology":{"ran":1,"of":1,"n_ran_checked":0,"n_instrument":1,"unverified":0,"pointer_only":1,"phrase":"1 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; 1 where Syntology's instrument failed) · 0 unverified","official":{"repos":["isle-dev/metriceval"],"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"]}}},{"paper":"/paper/fantastic-dnn-classifiers-and-how-to-identify","slug":"fantastic-dnn-classifiers-and-how-to-identify","title":"Fantastic DNN Classifiers and How to Identify them without Data","date":"2023-05-24","arxiv_id":"2305.15563","n_code_links":1,"syntology":null},{"paper":null,"slug":"have-large-language-models-developed-a","title":"Have Large Language Models Developed a Personality?: Applicability of Self-Assessment Tests in Measuring Personality in LLMs","date":"2023-05-24","arxiv_id":"2305.14693","n_code_links":0,"syntology":null},{"paper":"/paper/hitin-hierarchy-aware-tree-isomorphism","slug":"hitin-hierarchy-aware-tree-isomorphism","title":"HiTIN: Hierarchy-aware Tree Isomorphism Network for Hierarchical Text Classification","date":"2023-05-24","arxiv_id":"2305.15182","n_code_links":1,"syntology":{"ran":13,"of":17,"n_ran_checked":7,"n_instrument":6,"unverified":4,"pointer_only":17,"phrase":"13 ran (of which 3 constructed an object rather than computing a result; 7 with no instrument failure: 3 honoured, 0 violated, 4 with no contract checked; 6 where Syntology's instrument failed) · 4 unverified","official":{"repos":["rooooyy/hitin"],"state":"official (archive's flag): 12 ran","n_ran":12,"n_constructed":3,"n_ran_no_instrument_failure":7,"n_unverified":4,"ran_from_kinds":["official","unlocated"]}}},{"paper":"/paper/in-context-demonstration-selection-with-cross","slug":"in-context-demonstration-selection-with-cross","title":"In-Context Demonstration Selection with Cross Entropy Difference","date":"2023-05-24","arxiv_id":"2305.14726","n_code_links":1,"syntology":null},{"paper":null,"slug":"knn-lm-does-not-improve-open-ended-text","title":"KNN-LM Does Not Improve Open-ended Text Generation","date":"2023-05-24","arxiv_id":"2305.14625","n_code_links":0,"syntology":null},{"paper":"/paper/large-language-models-are-in-context-semantic","slug":"large-language-models-are-in-context-semantic","title":"Large Language Models are In-Context Semantic Reasoners rather than Symbolic Reasoners","date":"2023-05-24","arxiv_id":"2305.14825","n_code_links":1,"syntology":{"ran":4,"of":5,"n_ran_checked":1,"n_instrument":3,"unverified":1,"pointer_only":0,"phrase":"4 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; 3 where Syntology's instrument failed) · 1 unverified","official":{"repos":["xiaojuantang/icsr"],"state":"official (archive's flag): 4 ran","n_ran":4,"n_constructed":0,"n_ran_no_instrument_failure":1,"n_unverified":1,"ran_from_kinds":["official"]}}},{"paper":"/paper/lightweight-learner-for-shared-knowledge","slug":"lightweight-learner-for-shared-knowledge","title":"Lightweight Learner for Shared Knowledge Lifelong Learning","date":"2023-05-24","arxiv_id":"2305.15591","n_code_links":1,"syntology":{"ran":5,"of":9,"n_ran_checked":5,"n_instrument":0,"unverified":4,"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) · 4 unverified","official":{"repos":["gyhandy/shared-knowledge-lifelong-learning"],"state":"official (archive's flag): 5 ran","n_ran":5,"n_constructed":0,"n_ran_no_instrument_failure":5,"n_unverified":4,"ran_from_kinds":["official"]}}},{"paper":null,"slug":"machine-reading-comprehension-using-case","title":"Machine Reading Comprehension using Case-based Reasoning","date":"2023-05-24","arxiv_id":"2305.14815","n_code_links":0,"syntology":null},{"paper":"/paper/malicious-or-benign-towards-effective-content","slug":"malicious-or-benign-towards-effective-content","title":"Malicious or Benign? Towards Effective Content Moderation for Children's Videos","date":"2023-05-24","arxiv_id":"2305.15551","n_code_links":2,"syntology":null},{"paper":"/paper/meta-learning-online-adaptation-of-language","slug":"meta-learning-online-adaptation-of-language","title":"Meta-Learning Online Adaptation of Language Models","date":"2023-05-24","arxiv_id":"2305.15076","n_code_links":1,"syntology":{"ran":2,"of":2,"n_ran_checked":2,"n_instrument":0,"unverified":0,"pointer_only":0,"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) · 0 unverified","official":{"repos":["nathanhu0/CaMeLS"],"state":"official (archive's flag): 2 ran","n_ran":2,"n_constructed":0,"n_ran_no_instrument_failure":2,"n_unverified":0,"ran_from_kinds":["official"]}}}],"record_sha256":"de63d638155fcfd25ba5e349d8c852893568d6bc57877687dd8df7522d4f7d18","record_changed_at":"2026-09-28","record_changed_at_basis":"first_hashed"}