{"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/align/papers/30","list_of":"/method/align","method":"ALIGN","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":30,"pages_in_order":56,"rows_per_page":100,"rows":[2901,3000],"of":5524,"counts":{"archive_papers_tagged":5527,"with_a_code_link":2162,"where_syntology_ran_a_sample":726,"not_listed_spam_title":3,"listed":5524,"listed_where_code_ran":726,"where_syntology_ran_a_sample_split":{"with_a_run_with_no_instrument_failure":628,"every_run_a_failure_of_syntologys_instrument":98,"listed_with_a_run_with_no_instrument_failure":628,"listed_every_run_a_failure_of_syntologys_instrument":98,"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/align","prev":"/method/align/papers/29","next":"/method/align/papers/31","papers":[{"paper":null,"slug":"llms-beyond-english-scaling-the-multilingual","title":"LLMs Beyond English: Scaling the Multilingual Capability of LLMs with Cross-Lingual Feedback","date":"2024-06-03","arxiv_id":"2406.01771","n_code_links":0,"syntology":null},{"paper":null,"slug":"revolve-reward-evolution-with-large-language","title":"REvolve: Reward Evolution with Large Language Models using Human Feedback","date":"2024-06-03","arxiv_id":"2406.01309","n_code_links":0,"syntology":null},{"paper":"/paper/robust-classification-by-coupling-data","slug":"robust-classification-by-coupling-data","title":"Robust Classification by Coupling Data Mollification with Label Smoothing","date":"2024-06-03","arxiv_id":"2406.01494","n_code_links":1,"syntology":{"ran":17,"of":20,"n_ran_checked":17,"n_instrument":0,"unverified":3,"pointer_only":20,"phrase":"17 ran (of which 0 constructed an object rather than computing a result; 17 with no instrument failure: 0 honoured, 0 violated, 17 with no contract checked; 0 where Syntology's instrument failed) · 3 unverified","official":{"repos":["markusheinonen/supervised-mollification"],"state":"official (archive's flag): 17 ran","n_ran":17,"n_constructed":0,"n_ran_no_instrument_failure":17,"n_unverified":3,"ran_from_kinds":["official"]}}},{"paper":"/paper/towards-flexible-interactive-reflection","slug":"towards-flexible-interactive-reflection","title":"FIRM: Flexible Interactive Reflection reMoval","date":"2024-06-03","arxiv_id":"2406.01555","n_code_links":1,"syntology":null},{"paper":"/paper/unianimate-taming-unified-video-diffusion","slug":"unianimate-taming-unified-video-diffusion","title":"UniAnimate: Taming Unified Video Diffusion Models for Consistent Human Image Animation","date":"2024-06-03","arxiv_id":"2406.01188","n_code_links":2,"syntology":null},{"paper":"/paper/cascade-clip-cascaded-vision-language","slug":"cascade-clip-cascaded-vision-language","title":"Cascade-CLIP: Cascaded Vision-Language Embeddings Alignment for Zero-Shot Semantic Segmentation","date":"2024-06-02","arxiv_id":"2406.00670","n_code_links":1,"syntology":{"ran":7,"of":7,"n_ran_checked":7,"n_instrument":0,"unverified":0,"pointer_only":1,"phrase":"7 ran (of which 0 constructed an object rather than computing a result; 7 with no instrument failure: 1 honoured, 0 violated, 6 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified","official":{"repos":["hvision-nku/cascade-clip"],"state":"official (archive's flag): 7 ran","n_ran":7,"n_constructed":0,"n_ran_no_instrument_failure":7,"n_unverified":0,"ran_from_kinds":["official"]}}},{"paper":"/paper/improving-gflownets-for-text-to-image","slug":"improving-gflownets-for-text-to-image","title":"Improving GFlowNets for Text-to-Image Diffusion Alignment","date":"2024-06-02","arxiv_id":"2406.00633","n_code_links":1,"syntology":{"ran":6,"of":8,"n_ran_checked":6,"n_instrument":0,"unverified":2,"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","official":{"repos":["apple/ml-diffusion-alignment-gflownet"],"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"]}}},{"paper":"/paper/inverse-constitutional-ai-compressing","slug":"inverse-constitutional-ai-compressing","title":"Inverse Constitutional AI: Compressing Preferences into Principles","date":"2024-06-02","arxiv_id":"2406.06560","n_code_links":1,"syntology":{"ran":6,"of":10,"n_ran_checked":3,"n_instrument":3,"unverified":4,"pointer_only":0,"phrase":"6 ran (of which 3 constructed an object rather than computing a result; 3 with no instrument failure: 0 honoured, 0 violated, 3 with no contract checked; 3 where Syntology's instrument failed) · 4 unverified","official":{"repos":["rdnfn/icai"],"state":"official (archive's flag): 6 ran","n_ran":6,"n_constructed":3,"n_ran_no_instrument_failure":3,"n_unverified":4,"ran_from_kinds":["official"]}}},{"paper":"/paper/olive-object-level-in-context-visual","slug":"olive-object-level-in-context-visual","title":"OLIVE: Object Level In-Context Visual Embeddings","date":"2024-06-02","arxiv_id":"2406.00872","n_code_links":1,"syntology":null},{"paper":"/paper/show-don-t-tell-aligning-language-models-with","slug":"show-don-t-tell-aligning-language-models-with","title":"Aligning Language Models with Demonstrated Feedback","date":"2024-06-02","arxiv_id":"2406.00888","n_code_links":1,"syntology":null},{"paper":"/paper/multi-modal-and-multi-agent-systems-meet","slug":"multi-modal-and-multi-agent-systems-meet","title":"Towards Rationality in Language and Multimodal Agents: A Survey","date":"2024-06-01","arxiv_id":"2406.00252","n_code_links":1,"syntology":null},{"paper":null,"slug":"direct-alignment-of-language-models-via","title":"Direct Alignment of Language Models via Quality-Aware Self-Refinement","date":"2024-05-31","arxiv_id":"2405.21040","n_code_links":0,"syntology":null},{"paper":null,"slug":"em-assist-safe-automated-extractmethod","title":"EM-Assist: Safe Automated ExtractMethod Refactoring with LLMs","date":"2024-05-31","arxiv_id":"2405.20551","n_code_links":0,"syntology":null},{"paper":null,"slug":"fineradscore-a-radiology-report-line-by-line","title":"FineRadScore: A Radiology Report Line-by-Line Evaluation Technique Generating Corrections with Severity Scores","date":"2024-05-31","arxiv_id":"2405.20613","n_code_links":0,"syntology":null},{"paper":null,"slug":"outliers-and-calibration-sets-have","title":"Outliers and Calibration Sets have Diminishing Effect on Quantization of Modern LLMs","date":"2024-05-31","arxiv_id":"2405.20835","n_code_links":0,"syntology":null},{"paper":"/paper/ovis-structural-embedding-alignment-for","slug":"ovis-structural-embedding-alignment-for","title":"Ovis: Structural Embedding Alignment for Multimodal Large Language Model","date":"2024-05-31","arxiv_id":"2405.20797","n_code_links":2,"syntology":null},{"paper":null,"slug":"there-and-back-again-the-ai-alignment-paradox","title":"The AI Alignment Paradox","date":"2024-05-31","arxiv_id":"2405.20806","n_code_links":0,"syntology":null},{"paper":"/paper/unleashing-the-potential-of-diffusion-models","slug":"unleashing-the-potential-of-diffusion-models","title":"Unleashing the Potential of Diffusion Models for Incomplete Data Imputation","date":"2024-05-31","arxiv_id":"2405.20690","n_code_links":1,"syntology":{"ran":19,"of":22,"n_ran_checked":16,"n_instrument":3,"unverified":3,"pointer_only":10,"phrase":"19 ran (of which 3 constructed an object rather than computing a result; 16 with no instrument failure: 0 honoured, 0 violated, 16 with no contract checked; 3 where Syntology's instrument failed) · 3 unverified","official":{"repos":["hengruizhang98/DiffPuter"],"state":"official (archive's flag): 13 ran","n_ran":13,"n_constructed":0,"n_ran_no_instrument_failure":11,"n_unverified":1,"ran_from_kinds":["found_in_text","official"]}}},{"paper":"/paper/group-robust-preference-optimization-in","slug":"group-robust-preference-optimization-in","title":"Group Robust Preference Optimization in Reward-free RLHF","date":"2024-05-30","arxiv_id":"2405.20304","n_code_links":2,"syntology":{"ran":19,"of":20,"n_ran_checked":18,"n_instrument":1,"unverified":1,"pointer_only":7,"phrase":"19 ran (of which 0 constructed an object rather than computing a result; 18 with no instrument failure: 0 honoured, 0 violated, 18 with no contract checked; 1 where Syntology's instrument failed) · 1 unverified","official":{"repos":["rsshyam/Group-robust-preference-optimization","rsshyam/Group-robust-preference-optimization-bandits"],"state":"official (archive's flag): 19 ran","n_ran":19,"n_constructed":0,"n_ran_no_instrument_failure":18,"n_unverified":1,"ran_from_kinds":["official"]}}},{"paper":"/paper/instruction-guided-visual-masking","slug":"instruction-guided-visual-masking","title":"Instruction-Guided Visual Masking","date":"2024-05-30","arxiv_id":"2405.19783","n_code_links":1,"syntology":{"ran":20,"of":28,"n_ran_checked":11,"n_instrument":9,"unverified":8,"pointer_only":2,"phrase":"20 ran (of which 7 constructed an object rather than computing a result; 11 with no instrument failure: 0 honoured, 0 violated, 11 with no contract checked; 9 where Syntology's instrument failed) · 8 unverified","official":{"repos":["2toinf/ivm"],"state":"official (archive's flag): 20 ran","n_ran":20,"n_constructed":7,"n_ran_no_instrument_failure":11,"n_unverified":8,"ran_from_kinds":["official"]}}},{"paper":"/paper/is-in-context-learning-sufficient-for","slug":"is-in-context-learning-sufficient-for","title":"Is In-Context Learning Sufficient for Instruction Following in LLMs?","date":"2024-05-30","arxiv_id":"2405.19874","n_code_links":1,"syntology":{"ran":1,"of":3,"n_ran_checked":1,"n_instrument":0,"unverified":2,"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) · 2 unverified","official":{"repos":["tml-epfl/icl-alignment"],"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"]}}},{"paper":null,"slug":"jina-clip-your-clip-model-is-also-your-text","title":"Jina CLIP: Your CLIP Model Is Also Your Text Retriever","date":"2024-05-30","arxiv_id":"2405.20204","n_code_links":0,"syntology":null},{"paper":null,"slug":"learning-from-random-demonstrations-offline","title":"Learning from Random Demonstrations: Offline Reinforcement Learning with Importance-Sampled Diffusion Models","date":"2024-05-30","arxiv_id":"2405.19878","n_code_links":0,"syntology":null},{"paper":null,"slug":"may-the-dance-be-with-you-dance-generation","title":"May the Dance be with You: Dance Generation Framework for Non-Humanoids","date":"2024-05-30","arxiv_id":"2405.19743","n_code_links":0,"syntology":null},{"paper":null,"slug":"parsel-parameterized-shape-editing-with","title":"ParSEL: Parameterized Shape Editing with Language","date":"2024-05-30","arxiv_id":"2405.20319","n_code_links":0,"syntology":null},{"paper":null,"slug":"pla4d-pixel-level-alignments-for-text-to-4d","title":"PLA4D: Pixel-Level Alignments for Text-to-4D Gaussian Splatting","date":"2024-05-30","arxiv_id":"2405.19957","n_code_links":0,"syntology":null},{"paper":"/paper/sequence-augmented-se-3-flow-matching-for","slug":"sequence-augmented-se-3-flow-matching-for","title":"Sequence-Augmented SE(3)-Flow Matching For Conditional Protein Backbone Generation","date":"2024-05-30","arxiv_id":"2405.20313","n_code_links":1,"syntology":{"ran":17,"of":20,"n_ran_checked":15,"n_instrument":2,"unverified":3,"pointer_only":20,"phrase":"17 ran (of which 0 constructed an object rather than computing a result; 15 with no instrument failure: 1 honoured, 0 violated, 14 with no contract checked; 2 where Syntology's instrument failed) · 3 unverified","official":{"repos":["dreamfold/foldflow"],"state":"official (archive's flag): 16 ran","n_ran":16,"n_constructed":0,"n_ran_no_instrument_failure":14,"n_unverified":3,"ran_from_kinds":["community","official"]}}},{"paper":null,"slug":"soft-partitioning-of-latent-space-for","title":"Soft Partitioning of Latent Space for Semantic Channel Equalization","date":"2024-05-30","arxiv_id":"2405.20085","n_code_links":0,"syntology":null},{"paper":"/paper/taia-large-language-models-are-out-of","slug":"taia-large-language-models-are-out-of","title":"TAIA: Large Language Models are Out-of-Distribution Data Learners","date":"2024-05-30","arxiv_id":"2405.20192","n_code_links":1,"syntology":{"ran":2,"of":6,"n_ran_checked":2,"n_instrument":0,"unverified":4,"pointer_only":6,"phrase":"2 ran (of which 1 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) · 4 unverified","official":{"repos":["pixas/TAIA_LLM"],"state":"official (archive's flag): 2 ran","n_ran":2,"n_constructed":1,"n_ran_no_instrument_failure":2,"n_unverified":4,"ran_from_kinds":["official"]}}},{"paper":null,"slug":"text-guided-image-editing-with-automatic","title":"Text Guided Image Editing with Automatic Concept Locating and Forgetting","date":"2024-05-30","arxiv_id":"2405.19708","n_code_links":0,"syntology":null},{"paper":null,"slug":"a-new-platooning-model-for-connected-and","title":"A new platooning model for connected and autonomous vehicles to improve string stability","date":"2024-05-29","arxiv_id":"2405.18791","n_code_links":0,"syntology":null},{"paper":null,"slug":"analyzing-chat-protocols-of-novice","title":"Analyzing Chat Protocols of Novice Programmers Solving Introductory Programming Tasks with ChatGPT","date":"2024-05-29","arxiv_id":"2405.19132","n_code_links":0,"syntology":null},{"paper":null,"slug":"bractive-a-brain-activation-approach-to-human","title":"BRACTIVE: A Brain Activation Approach to Human Visual Brain Learning","date":"2024-05-29","arxiv_id":"2405.18808","n_code_links":0,"syntology":null},{"paper":"/paper/correctable-landmark-discovery-via-large","slug":"correctable-landmark-discovery-via-large","title":"Correctable Landmark Discovery via Large Models for Vision-Language Navigation","date":"2024-05-29","arxiv_id":"2405.18721","n_code_links":1,"syntology":null},{"paper":"/paper/descriptive-image-quality-assessment-in-the","slug":"descriptive-image-quality-assessment-in-the","title":"Descriptive Image Quality Assessment in the Wild","date":"2024-05-29","arxiv_id":"2405.18842","n_code_links":1,"syntology":{"ran":7,"of":8,"n_ran_checked":7,"n_instrument":0,"unverified":1,"pointer_only":0,"phrase":"7 ran (of which 0 constructed an object rather than computing a result; 7 with no instrument failure: 0 honoured, 1 violated, 6 with no contract checked; 0 where Syntology's instrument failed) · 1 unverified","official":null}},{"paper":"/paper/enhancing-zero-shot-facial-expression","slug":"enhancing-zero-shot-facial-expression","title":"Enhancing Zero-Shot Facial Expression Recognition by LLM Knowledge Transfer","date":"2024-05-29","arxiv_id":"2405.19100","n_code_links":1,"syntology":{"ran":3,"of":10,"n_ran_checked":0,"n_instrument":3,"unverified":7,"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) · 7 unverified","official":{"repos":["zengqunzhao/exp-clip"],"state":"official (archive's flag): 3 ran","n_ran":3,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":7,"ran_from_kinds":["official"]}}},{"paper":null,"slug":"gemini-physical-world-large-language-models","title":"Gemini & Physical World: Large Language Models Can Estimate the Intensity of Earthquake Shaking from Multi-Modal Social Media Posts","date":"2024-05-29","arxiv_id":"2405.18732","n_code_links":0,"syntology":null},{"paper":"/paper/locally-estimated-global-perturbations-are","slug":"locally-estimated-global-perturbations-are","title":"Locally Estimated Global Perturbations are Better than Local Perturbations for Federated Sharpness-aware Minimization","date":"2024-05-29","arxiv_id":"2405.18890","n_code_links":1,"syntology":null},{"paper":null,"slug":"motor-imagery-task-alters-dynamics-of-human","title":"Motor Imagery Task Alters Dynamics of Human Body Posture","date":"2024-05-29","arxiv_id":"2405.19228","n_code_links":0,"syntology":null},{"paper":null,"slug":"on-perception-of-prevalence-of-cheating-and","title":"On Perception of Prevalence of Cheating and Usage of Generative AI","date":"2024-05-29","arxiv_id":"2405.18889","n_code_links":0,"syntology":null},{"paper":"/paper/one-shot-safety-alignment-for-large-language","slug":"one-shot-safety-alignment-for-large-language","title":"One-Shot Safety Alignment for Large Language Models via Optimal Dualization","date":"2024-05-29","arxiv_id":"2405.19544","n_code_links":1,"syntology":{"ran":1,"of":2,"n_ran_checked":1,"n_instrument":0,"unverified":1,"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) · 1 unverified","official":{"repos":["shuoli90/CAN"],"state":"official (archive's flag): 1 ran","n_ran":1,"n_constructed":0,"n_ran_no_instrument_failure":1,"n_unverified":1,"ran_from_kinds":["official"]}}},{"paper":null,"slug":"ous-scene-guided-dynamic-facial-expression","title":"OUS: Scene-Guided Dynamic Facial Expression Recognition","date":"2024-05-29","arxiv_id":"2405.18769","n_code_links":0,"syntology":null},{"paper":null,"slug":"rap-efficient-text-video-retrieval-with","title":"RAP: Efficient Text-Video Retrieval with Sparse-and-Correlated Adapter","date":"2024-05-29","arxiv_id":"2405.19465","n_code_links":0,"syntology":null},{"paper":"/paper/transcending-fusion-a-multi-scale-alignment","slug":"transcending-fusion-a-multi-scale-alignment","title":"Transcending Fusion: A Multi-Scale Alignment Method for Remote Sensing Image-Text Retrieval","date":"2024-05-29","arxiv_id":"2405.18959","n_code_links":1,"syntology":null},{"paper":"/paper/weak-to-strong-search-align-large-language","slug":"weak-to-strong-search-align-large-language","title":"Weak-to-Strong Search: Align Large Language Models via Searching over Small Language Models","date":"2024-05-29","arxiv_id":"2405.19262","n_code_links":1,"syntology":{"ran":4,"of":6,"n_ran_checked":2,"n_instrument":2,"unverified":2,"pointer_only":6,"phrase":"4 ran (of which 1 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) · 2 unverified","official":{"repos":["zhziszz/weak-to-strong-search"],"state":"official (archive's flag): 4 ran","n_ran":4,"n_constructed":1,"n_ran_no_instrument_failure":2,"n_unverified":2,"ran_from_kinds":["official"]}}},{"paper":"/paper/adr-bc-adversarial-density-weighted","slug":"adr-bc-adversarial-density-weighted","title":"Imitating from auxiliary imperfect demonstrations via Adversarial Density Weighted Regression","date":"2024-05-28","arxiv_id":"2405.20351","n_code_links":1,"syntology":null},{"paper":"/paper/aligning-to-thousands-of-preferences-via","slug":"aligning-to-thousands-of-preferences-via","title":"Aligning to Thousands of Preferences via System Message Generalization","date":"2024-05-28","arxiv_id":"2405.17977","n_code_links":1,"syntology":{"ran":3,"of":3,"n_ran_checked":1,"n_instrument":2,"unverified":0,"pointer_only":0,"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","official":{"repos":["kaistAI/Janus"],"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":["community","official"]}}},{"paper":null,"slug":"approximating-human-models-during","title":"Approximating Human Models During Argumentation-based Dialogues","date":"2024-05-28","arxiv_id":"2405.18650","n_code_links":0,"syntology":null},{"paper":"/paper/flashst-a-simple-and-universal-prompt-tuning","slug":"flashst-a-simple-and-universal-prompt-tuning","title":"FlashST: A Simple and Universal Prompt-Tuning Framework for Traffic Prediction","date":"2024-05-28","arxiv_id":"2405.17898","n_code_links":1,"syntology":{"ran":10,"of":15,"n_ran_checked":9,"n_instrument":1,"unverified":5,"pointer_only":1,"phrase":"10 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; 1 where Syntology's instrument failed) · 5 unverified","official":{"repos":["hkuds/flashst"],"state":"official (archive's flag): 10 ran","n_ran":10,"n_constructed":0,"n_ran_no_instrument_failure":9,"n_unverified":5,"ran_from_kinds":["official"]}}},{"paper":"/paper/getting-more-juice-out-of-the-sft-data-reward","slug":"getting-more-juice-out-of-the-sft-data-reward","title":"Getting More Juice Out of the SFT Data: Reward Learning from Human Demonstration Improves SFT for LLM Alignment","date":"2024-05-28","arxiv_id":"2405.17888","n_code_links":1,"syntology":{"ran":3,"of":8,"n_ran_checked":2,"n_instrument":1,"unverified":5,"pointer_only":1,"phrase":"3 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; 1 where Syntology's instrument failed) · 5 unverified","official":{"repos":["jasonjiaxiangli/reward_learning_sft"],"state":"official (archive's flag): 3 ran","n_ran":3,"n_constructed":0,"n_ran_no_instrument_failure":2,"n_unverified":5,"ran_from_kinds":["official"]}}},{"paper":null,"slug":"hybrid-preference-optimization-augmenting","title":"Unified Preference Optimization: Language Model Alignment Beyond the Preference Frontier","date":"2024-05-28","arxiv_id":"2405.17956","n_code_links":0,"syntology":null},{"paper":null,"slug":"neraf-3d-scene-infused-neural-radiance-and","title":"NeRAF: 3D Scene Infused Neural Radiance and Acoustic Fields","date":"2024-05-28","arxiv_id":"2405.18213","n_code_links":0,"syntology":null},{"paper":"/paper/reliable-object-tracking-by-multimodal-hybrid","slug":"reliable-object-tracking-by-multimodal-hybrid","title":"Reliable Object Tracking by Multimodal Hybrid Feature Extraction and Transformer-Based Fusion","date":"2024-05-28","arxiv_id":"2405.17903","n_code_links":1,"syntology":null},{"paper":"/paper/soundctm-uniting-score-based-and-consistency","slug":"soundctm-uniting-score-based-and-consistency","title":"SoundCTM: Unifying Score-based and Consistency Models for Full-band Text-to-Sound Generation","date":"2024-05-28","arxiv_id":"2405.18503","n_code_links":1,"syntology":{"ran":2,"of":5,"n_ran_checked":1,"n_instrument":1,"unverified":3,"pointer_only":1,"phrase":"2 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; 1 where Syntology's instrument failed) · 3 unverified","official":{"repos":["sony/soundctm"],"state":"official (archive's flag): 2 ran","n_ran":2,"n_constructed":0,"n_ran_no_instrument_failure":1,"n_unverified":3,"ran_from_kinds":["official"]}}},{"paper":null,"slug":"tripletmix-triplet-data-augmentation-for-3d","title":"MM-Mixing: Multi-Modal Mixing Alignment for 3D Understanding","date":"2024-05-28","arxiv_id":"2405.18523","n_code_links":0,"syntology":null},{"paper":null,"slug":"a-pioneering-roadmap-for-ml-driven","title":"A Pioneering Roadmap for ML-Driven Algorithmic Advancements in Electrical Networks","date":"2024-05-27","arxiv_id":"2405.17184","n_code_links":0,"syntology":null},{"paper":"/paper/bioscan-clip-bridging-vision-and-genomics-for","slug":"bioscan-clip-bridging-vision-and-genomics-for","title":"CLIBD: Bridging Vision and Genomics for Biodiversity Monitoring at Scale","date":"2024-05-27","arxiv_id":"2405.17537","n_code_links":4,"syntology":{"ran":7,"of":12,"n_ran_checked":7,"n_instrument":0,"unverified":5,"pointer_only":0,"phrase":"7 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; 0 where Syntology's instrument failed) · 5 unverified","official":{"repos":["3dlg-hcvc/bioscan-clip"],"state":"official (archive's flag): 4 ran","n_ran":4,"n_constructed":0,"n_ran_no_instrument_failure":4,"n_unverified":4,"ran_from_kinds":["listed","official"]}}},{"paper":null,"slug":"blind-data-adaptation-to-tackle-covariate","title":"Blind Data Adaptation to tackle Covariate Shift in Operational Steganalysis","date":"2024-05-27","arxiv_id":"2405.16961","n_code_links":0,"syntology":null},{"paper":null,"slug":"clustering-based-learning-for-uav-tracking","title":"Clustering-based Learning for UAV Tracking and Pose Estimation","date":"2024-05-27","arxiv_id":"2405.16867","n_code_links":0,"syntology":null},{"paper":null,"slug":"evolutive-rendering-models","title":"Evolutive Rendering Models","date":"2024-05-27","arxiv_id":"2405.17531","n_code_links":0,"syntology":null},{"paper":"/paper/exploring-and-steering-the-moral-compass-of","slug":"exploring-and-steering-the-moral-compass-of","title":"Exploring and steering the moral compass of Large Language Models","date":"2024-05-27","arxiv_id":"2405.17345","n_code_links":1,"syntology":{"ran":3,"of":3,"n_ran_checked":3,"n_instrument":0,"unverified":0,"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","official":{"repos":["atlaie/ethical-llms"],"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"]}}},{"paper":"/paper/gaussian-embedding-of-temporal-networks","slug":"gaussian-embedding-of-temporal-networks","title":"Gaussian Embedding of Temporal Networks","date":"2024-05-27","arxiv_id":"2405.17253","n_code_links":1,"syntology":null},{"paper":null,"slug":"mixed-dynamics-in-linear-networks-unifying","title":"Mixed Dynamics In Linear Networks: Unifying the Lazy and Active Regimes","date":"2024-05-27","arxiv_id":"2405.17580","n_code_links":0,"syntology":null},{"paper":null,"slug":"mixing-it-up-inflation-at-risk","title":"Mixing it up: Inflation at risk","date":"2024-05-27","arxiv_id":"2405.17237","n_code_links":0,"syntology":null},{"paper":"/paper/motionllm-multimodal-motion-language-learning","slug":"motionllm-multimodal-motion-language-learning","title":"Motion-Agent: A Conversational Framework for Human Motion Generation with LLMs","date":"2024-05-27","arxiv_id":"2405.17013","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: 0 honoured, 0 violated, 6 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified","official":{"repos":["szqwu/Motion-Agent"],"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/navigating-the-safety-landscape-measuring","slug":"navigating-the-safety-landscape-measuring","title":"Navigating the Safety Landscape: Measuring Risks in Finetuning Large Language Models","date":"2024-05-27","arxiv_id":"2405.17374","n_code_links":1,"syntology":{"ran":8,"of":17,"n_ran_checked":5,"n_instrument":3,"unverified":9,"pointer_only":0,"phrase":"8 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; 3 where Syntology's instrument failed) · 9 unverified","official":{"repos":["shengyun-peng/llm-landscape"],"state":"official (archive's flag): 8 ran","n_ran":8,"n_constructed":0,"n_ran_no_instrument_failure":5,"n_unverified":9,"ran_from_kinds":["official"]}}},{"paper":null,"slug":"probabilistically-plausible-counterfactual","title":"Probabilistically Plausible Counterfactual Explanations with Normalizing Flows","date":"2024-05-27","arxiv_id":"2405.17640","n_code_links":0,"syntology":null},{"paper":"/paper/q-value-regularized-transformer-for-offline","slug":"q-value-regularized-transformer-for-offline","title":"Q-value Regularized Transformer for Offline Reinforcement Learning","date":"2024-05-27","arxiv_id":"2405.17098","n_code_links":2,"syntology":{"ran":6,"of":8,"n_ran_checked":5,"n_instrument":1,"unverified":2,"pointer_only":3,"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) · 2 unverified","official":null}},{"paper":null,"slug":"swat-scalable-and-efficient-window-attention","title":"SWAT: Scalable and Efficient Window Attention-based Transformers Acceleration on FPGAs","date":"2024-05-27","arxiv_id":"2405.17025","n_code_links":0,"syntology":null},{"paper":null,"slug":"towards-achieving-cooperation-compliance-of","title":"Towards Achieving Cooperation Compliance of Human Drivers in Mixed Traffic","date":"2024-05-27","arxiv_id":"2405.17594","n_code_links":0,"syntology":null},{"paper":"/paper/crossmodal-asr-error-correction-with-discrete","slug":"crossmodal-asr-error-correction-with-discrete","title":"Crossmodal ASR Error Correction with Discrete Speech Units","date":"2024-05-26","arxiv_id":"2405.16677","n_code_links":1,"syntology":null},{"paper":null,"slug":"i2vedit-first-frame-guided-video-editing-via","title":"I2VEdit: First-Frame-Guided Video Editing via Image-to-Video Diffusion Models","date":"2024-05-26","arxiv_id":"2405.16537","n_code_links":0,"syntology":null},{"paper":null,"slug":"inaccurate-label-distribution-learning-with","title":"Inaccurate Label Distribution Learning with Dependency Noise","date":"2024-05-26","arxiv_id":"2405.16474","n_code_links":0,"syntology":null},{"paper":"/paper/triple-preference-optimization-achieving","slug":"triple-preference-optimization-achieving","title":"Triple Preference Optimization: Achieving Better Alignment with Less Data in a Single Step Optimization","date":"2024-05-26","arxiv_id":"2405.16681","n_code_links":1,"syntology":{"ran":4,"of":6,"n_ran_checked":4,"n_instrument":0,"unverified":2,"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) · 2 unverified","official":{"repos":["sahsaeedi/triple-preference-optimization"],"state":"official (archive's flag): 4 ran","n_ran":4,"n_constructed":0,"n_ran_no_instrument_failure":4,"n_unverified":2,"ran_from_kinds":["official"]}}},{"paper":null,"slug":"a-statistical-framework-for-weak-to-strong","title":"A transfer learning framework for weak-to-strong generalization","date":"2024-05-25","arxiv_id":"2405.16236","n_code_links":0,"syntology":null},{"paper":null,"slug":"explainable-molecular-property-prediction","title":"Explainable Molecular Property Prediction: Aligning Chemical Concepts with Predictions via Language Models","date":"2024-05-25","arxiv_id":"2405.16041","n_code_links":0,"syntology":null},{"paper":null,"slug":"gaussian-recombining-split-tree","title":"Gaussian Recombining Split Tree","date":"2024-05-25","arxiv_id":"2405.16333","n_code_links":0,"syntology":null},{"paper":null,"slug":"how-well-do-deep-learning-models-capture","title":"How Well Do Deep Learning Models Capture Human Concepts? The Case of the Typicality Effect","date":"2024-05-25","arxiv_id":"2405.16128","n_code_links":0,"syntology":null},{"paper":"/paper/improving-multi-lingual-alignment-through","slug":"improving-multi-lingual-alignment-through","title":"Improving Multi-lingual Alignment Through Soft Contrastive Learning","date":"2024-05-25","arxiv_id":"2405.16155","n_code_links":1,"syntology":{"ran":9,"of":10,"n_ran_checked":9,"n_instrument":0,"unverified":1,"pointer_only":10,"phrase":"9 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; 0 where Syntology's instrument failed) · 1 unverified","official":{"repos":["yai12xlinq-b/imascl"],"state":"official (archive's flag): 9 ran","n_ran":9,"n_constructed":0,"n_ran_no_instrument_failure":9,"n_unverified":1,"ran_from_kinds":["official"]}}},{"paper":"/paper/least-local-text-conditioned-image-style","slug":"least-local-text-conditioned-image-style","title":"LEAST: \"Local\" text-conditioned image style transfer","date":"2024-05-25","arxiv_id":"2405.16330","n_code_links":1,"syntology":null},{"paper":null,"slug":"omnibind-teach-to-build-unequal-scale","title":"OmniBind: Teach to Build Unequal-Scale Modality Interaction for Omni-Bind of All","date":"2024-05-25","arxiv_id":"2405.16108","n_code_links":0,"syntology":null},{"paper":"/paper/pessimistic-backward-policy-for-gflownets","slug":"pessimistic-backward-policy-for-gflownets","title":"Pessimistic Backward Policy for GFlowNets","date":"2024-05-25","arxiv_id":"2405.16012","n_code_links":1,"syntology":{"ran":6,"of":9,"n_ran_checked":4,"n_instrument":2,"unverified":3,"pointer_only":9,"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) · 3 unverified","official":{"repos":["hsjang0/Pessimistic-Backward-Policy-for-GFlowNets"],"state":"official (archive's flag): 6 ran","n_ran":6,"n_constructed":0,"n_ran_no_instrument_failure":4,"n_unverified":3,"ran_from_kinds":["official"]}}},{"paper":null,"slug":"a-planet-scale-spatial-temporal-knowledge","title":"A Planet Scale Spatial-Temporal Knowledge Graph Based On OpenStreetMap And H3 Grid","date":"2024-05-24","arxiv_id":"2405.15375","n_code_links":0,"syntology":null},{"paper":null,"slug":"an-evaluation-of-estimative-uncertainty-in","title":"An Evaluation of Estimative Uncertainty in Large Language Models","date":"2024-05-24","arxiv_id":"2405.15185","n_code_links":0,"syntology":null},{"paper":"/paper/deem-diffusion-models-serve-as-the-eyes-of","slug":"deem-diffusion-models-serve-as-the-eyes-of","title":"DEEM: Diffusion Models Serve as the Eyes of Large Language Models for Image Perception","date":"2024-05-24","arxiv_id":"2405.15232","n_code_links":2,"syntology":{"ran":7,"of":15,"n_ran_checked":6,"n_instrument":1,"unverified":8,"pointer_only":0,"phrase":"7 ran (of which 0 constructed an object rather than computing a result; 6 with no instrument failure: 1 honoured, 0 violated, 5 with no contract checked; 1 where Syntology's instrument failed) · 8 unverified","official":{"repos":["rainbowluocs/deem"],"state":"official (archive's flag): 7 ran","n_ran":7,"n_constructed":0,"n_ran_no_instrument_failure":6,"n_unverified":8,"ran_from_kinds":["official"]}}},{"paper":null,"slug":"discovering-deposition-process-regimes","title":"Discovering deposition process regimes: leveraging unsupervised learning for process insights, surrogate modeling, and sensitivity analysis","date":"2024-05-24","arxiv_id":"2405.18444","n_code_links":0,"syntology":null},{"paper":null,"slug":"from-data-complexity-to-user-simplicity-a","title":"From Data Complexity to User Simplicity: A Framework for Linked Open Data Reconciliation and Serendipitous Discovery","date":"2024-05-24","arxiv_id":"2405.15520","n_code_links":0,"syntology":null},{"paper":"/paper/instructavatar-text-guided-emotion-and-motion","slug":"instructavatar-text-guided-emotion-and-motion","title":"InstructAvatar: Text-Guided Emotion and Motion Control for Avatar Generation","date":"2024-05-24","arxiv_id":"2405.15758","n_code_links":1,"syntology":null},{"paper":"/paper/machine-unlearning-in-large-language-models","slug":"machine-unlearning-in-large-language-models","title":"Machine Unlearning in Large Language Models","date":"2024-05-24","arxiv_id":"2405.15152","n_code_links":1,"syntology":null},{"paper":"/paper/protfad-introducing-function-aware-domains-as","slug":"protfad-introducing-function-aware-domains-as","title":"ProtFAD: Introducing function-aware domains as implicit modality towards protein function prediction","date":"2024-05-24","arxiv_id":"2405.15158","n_code_links":2,"syntology":null},{"paper":null,"slug":"sg-adapter-enhancing-text-to-image-generation","title":"SG-Adapter: Enhancing Text-to-Image Generation with Scene Graph Guidance","date":"2024-05-24","arxiv_id":"2405.15321","n_code_links":0,"syntology":null},{"paper":"/paper/synergizing-in-context-learning-with-hints","slug":"synergizing-in-context-learning-with-hints","title":"Synergizing In-context Learning with Hints for End-to-end Task-oriented Dialog Systems","date":"2024-05-24","arxiv_id":"2405.15585","n_code_links":0,"syntology":{"ran":2,"of":3,"n_ran_checked":0,"n_instrument":2,"unverified":1,"pointer_only":3,"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) · 1 unverified","official":null}},{"paper":"/paper/ali-agent-assessing-llms-alignment-with-human","slug":"ali-agent-assessing-llms-alignment-with-human","title":"ALI-Agent: Assessing LLMs' Alignment with Human Values via Agent-based Evaluation","date":"2024-05-23","arxiv_id":"2405.14125","n_code_links":1,"syntology":{"ran":2,"of":3,"n_ran_checked":2,"n_instrument":0,"unverified":1,"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) · 1 unverified","official":{"repos":["sophiezheng998/ali-agent"],"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"]}}},{"paper":null,"slug":"direct-preference-optimization-with","title":"Direct Preference Optimization With Unobserved Preference Heterogeneity","date":"2024-05-23","arxiv_id":"2405.15065","n_code_links":0,"syntology":null},{"paper":"/paper/emr-merging-tuning-free-high-performance","slug":"emr-merging-tuning-free-high-performance","title":"EMR-Merging: Tuning-Free High-Performance Model Merging","date":"2024-05-23","arxiv_id":"2405.17461","n_code_links":1,"syntology":{"ran":13,"of":15,"n_ran_checked":5,"n_instrument":8,"unverified":2,"pointer_only":15,"phrase":"13 ran (of which 0 constructed an object rather than computing a result; 5 with no instrument failure: 1 honoured, 0 violated, 4 with no contract checked; 8 where Syntology's instrument failed) · 2 unverified","official":{"repos":["harveyhuang18/emr_merging"],"state":"official (archive's flag): 13 ran","n_ran":13,"n_constructed":0,"n_ran_no_instrument_failure":5,"n_unverified":2,"ran_from_kinds":["official"]}}},{"paper":null,"slug":"freetuner-any-subject-in-any-style-with","title":"FreeTuner: Any Subject in Any Style with Training-free Diffusion","date":"2024-05-23","arxiv_id":"2405.14201","n_code_links":0,"syntology":null},{"paper":null,"slug":"how-does-bayes-error-limit-probabilistic","title":"How Does Bayes Error Limit Probabilistic Robust Accuracy","date":"2024-05-23","arxiv_id":"2405.14923","n_code_links":0,"syntology":null},{"paper":"/paper/improving-single-domain-generalized-object","slug":"improving-single-domain-generalized-object","title":"Improving Single Domain-Generalized Object Detection: A Focus on Diversification and Alignment","date":"2024-05-23","arxiv_id":"2405.14497","n_code_links":1,"syntology":{"ran":3,"of":3,"n_ran_checked":3,"n_instrument":0,"unverified":0,"pointer_only":1,"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","official":{"repos":["msohaildanish/divalign"],"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"]}}},{"paper":null,"slug":"large-language-models-detection-of-political","title":"Large Language Models' Detection of Political Orientation in Newspapers","date":"2024-05-23","arxiv_id":"2406.00018","n_code_links":0,"syntology":null},{"paper":null,"slug":"multimarket-contact-merger-and-airline","title":"Multimarket Contact, Merger, and Airline Collusion","date":"2024-05-23","arxiv_id":"2405.15825","n_code_links":0,"syntology":null}],"record_sha256":"8067661745ac93231cdb2fd2519cdfc9189d77bd29395be865ea3538610c17bc","record_changed_at":"2026-09-28","record_changed_at_basis":"first_hashed"}