{"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/focus/papers/88","list_of":"/method/focus","method":"Focus","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":88,"pages_in_order":154,"rows_per_page":100,"rows":[8701,8800],"of":15340,"counts":{"archive_papers_tagged":15340,"with_a_code_link":5193,"where_syntology_ran_a_sample":1419,"not_listed_spam_title":0,"listed":15340,"listed_where_code_ran":1419,"where_syntology_ran_a_sample_split":{"with_a_run_with_no_instrument_failure":1210,"every_run_a_failure_of_syntologys_instrument":209,"listed_with_a_run_with_no_instrument_failure":1210,"listed_every_run_a_failure_of_syntologys_instrument":209,"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/focus","prev":"/method/focus/papers/87","next":"/method/focus/papers/89","papers":[{"paper":null,"slug":"compressed-language-models-for-understanding","title":"Compressed-Language Models for Understanding Compressed File Formats: a JPEG Exploration","date":"2024-05-27","arxiv_id":"2405.17146","n_code_links":0,"syntology":null},{"paper":null,"slug":"coverage-analysis-of-downlink-transmission-in","title":"Coverage Analysis of Downlink Transmission in Multi-Connectivity Cellular V2X Networks","date":"2024-05-27","arxiv_id":"2405.16777","n_code_links":0,"syntology":null},{"paper":"/paper/deeperimpact-optimizing-sparse-learned-index","slug":"deeperimpact-optimizing-sparse-learned-index","title":"DeeperImpact: Optimizing Sparse Learned Index Structures","date":"2024-05-27","arxiv_id":"2405.17093","n_code_links":1,"syntology":null},{"paper":null,"slug":"dual-state-personalized-knowledge-tracing","title":"Dual-State Personalized Knowledge Tracing with Emotional Incorporation","date":"2024-05-27","arxiv_id":"2405.16799","n_code_links":0,"syntology":null},{"paper":"/paper/effective-layer-pruning-through-similarity","slug":"effective-layer-pruning-through-similarity","title":"Effective Layer Pruning Through Similarity Metric Perspective","date":"2024-05-27","arxiv_id":"2405.17081","n_code_links":1,"syntology":null},{"paper":null,"slug":"emerge-integrating-rag-for-improved","title":"EMERGE: Integrating RAG for Improved Multimodal EHR Predictive Modeling","date":"2024-05-27","arxiv_id":"2406.00036","n_code_links":0,"syntology":null},{"paper":"/paper/evaluation-of-resource-efficient-crater","slug":"evaluation-of-resource-efficient-crater","title":"Evaluation of Resource-Efficient Crater Detectors on Embedded Systems","date":"2024-05-27","arxiv_id":"2405.16953","n_code_links":1,"syntology":null},{"paper":null,"slug":"experimental-evaluation-of-road-crossing","title":"Experimental Evaluation of Road-Crossing Decisions by Autonomous Wheelchairs against Environmental Factors","date":"2024-05-27","arxiv_id":"2406.18557","n_code_links":0,"syntology":null},{"paper":null,"slug":"exploring-the-llm-journey-from-cognition-to","title":"Exploring the LLM Journey from Cognition to Expression with Linear Representations","date":"2024-05-27","arxiv_id":"2405.16964","n_code_links":0,"syntology":null},{"paper":null,"slug":"extreme-compression-of-adaptive-neural-images","title":"Extreme Compression of Adaptive Neural Images","date":"2024-05-27","arxiv_id":"2405.16807","n_code_links":0,"syntology":null},{"paper":"/paper/hardness-aware-scene-synthesis-for-semi","slug":"hardness-aware-scene-synthesis-for-semi","title":"Hardness-Aware Scene Synthesis for Semi-Supervised 3D Object Detection","date":"2024-05-27","arxiv_id":"2405.17422","n_code_links":1,"syntology":{"ran":2,"of":3,"n_ran_checked":2,"n_instrument":0,"unverified":1,"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","official":{"repos":["wzzheng/hass"],"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":"/paper/hawk-learning-to-understand-open-world-video","slug":"hawk-learning-to-understand-open-world-video","title":"Hawk: Learning to Understand Open-World Video Anomalies","date":"2024-05-27","arxiv_id":"2405.16886","n_code_links":1,"syntology":{"ran":7,"of":9,"n_ran_checked":1,"n_instrument":6,"unverified":2,"pointer_only":9,"phrase":"7 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; 6 where Syntology's instrument failed) · 2 unverified","official":{"repos":["jqtangust/hawk"],"state":"official (archive's flag): 7 ran","n_ran":7,"n_constructed":0,"n_ran_no_instrument_failure":1,"n_unverified":2,"ran_from_kinds":["official"]}}},{"paper":null,"slug":"how-does-perfect-fitting-affect","title":"How Do the Architecture and Optimizer Affect Representation Learning? On the Training Dynamics of Representations in Deep Neural Networks","date":"2024-05-27","arxiv_id":"2405.17377","n_code_links":0,"syntology":null},{"paper":null,"slug":"learning-social-welfare-functions","title":"Learning Social Welfare Functions","date":"2024-05-27","arxiv_id":"2405.17700","n_code_links":0,"syntology":null},{"paper":null,"slug":"leveraging-offline-data-in-linear-latent","title":"Leveraging Offline Data in Linear Latent Bandits","date":"2024-05-27","arxiv_id":"2405.17324","n_code_links":0,"syntology":null},{"paper":"/paper/mixture-of-modality-knowledge-experts-for","slug":"mixture-of-modality-knowledge-experts-for","title":"Multiple Heads are Better than One: Mixture of Modality Knowledge Experts for Entity Representation Learning","date":"2024-05-27","arxiv_id":"2405.16869","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":["zjukg/momok"],"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/multi-behavior-generative-recommendation","slug":"multi-behavior-generative-recommendation","title":"Multi-Behavior Generative Recommendation","date":"2024-05-27","arxiv_id":"2405.16871","n_code_links":1,"syntology":{"ran":6,"of":9,"n_ran_checked":6,"n_instrument":0,"unverified":3,"pointer_only":1,"phrase":"6 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; 0 where Syntology's instrument failed) · 3 unverified","official":{"repos":["anananan116/MBGen"],"state":"official (archive's flag): 6 ran","n_ran":6,"n_constructed":0,"n_ran_no_instrument_failure":6,"n_unverified":3,"ran_from_kinds":["official"]}}},{"paper":"/paper/notellm-2-multimodal-large-representation","slug":"notellm-2-multimodal-large-representation","title":"NoteLLM-2: Multimodal Large Representation Models for Recommendation","date":"2024-05-27","arxiv_id":"2405.16789","n_code_links":1,"syntology":null},{"paper":"/paper/on-fairness-of-low-rank-adaptation-of-large","slug":"on-fairness-of-low-rank-adaptation-of-large","title":"On Fairness of Low-Rank Adaptation of Large Models","date":"2024-05-27","arxiv_id":"2405.17512","n_code_links":1,"syntology":null},{"paper":null,"slug":"pae-llm-based-product-attribute-extraction","title":"PAE: LLM-based Product Attribute Extraction for E-Commerce Fashion Trends","date":"2024-05-27","arxiv_id":"2405.17533","n_code_links":0,"syntology":null},{"paper":null,"slug":"predicting-from-a-different-perspective-in-re","title":"Predicting from a Different Perspective: A Re-ranking Model for Inductive Knowledge Graph Completion","date":"2024-05-27","arxiv_id":"2405.16902","n_code_links":0,"syntology":null},{"paper":null,"slug":"recent-advances-in-text-embedding-a","title":"Recent advances in text embedding: A Comprehensive Review of Top-Performing Methods on the MTEB Benchmark","date":"2024-05-27","arxiv_id":"2406.01607","n_code_links":0,"syntology":null},{"paper":"/paper/reflectioncoder-learning-from-reflection","slug":"reflectioncoder-learning-from-reflection","title":"ReflectionCoder: Learning from Reflection Sequence for Enhanced One-off Code Generation","date":"2024-05-27","arxiv_id":"2405.17057","n_code_links":1,"syntology":{"ran":0,"of":1,"n_ran_checked":0,"n_instrument":0,"unverified":1,"pointer_only":0,"phrase":"0 ran · 1 unverified","official":{"repos":["sensellm/reflectioncoder"],"state":"official: harvested, nothing ran","n_ran":0,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":1,"ran_from_kinds":[]}}},{"paper":null,"slug":"scorch-a-library-for-sparse-deep-learning","title":"Scorch: A Library for Sparse Deep Learning","date":"2024-05-27","arxiv_id":"2405.16883","n_code_links":0,"syntology":null},{"paper":null,"slug":"speech-loudness-in-broadcasting-and-streaming","title":"Speech Loudness in Broadcasting and Streaming","date":"2024-05-27","arxiv_id":"2405.17364","n_code_links":0,"syntology":null},{"paper":null,"slug":"the-surprising-efficiency-of-temporal","title":"The surprising efficiency of temporal difference learning for rare event prediction","date":"2024-05-27","arxiv_id":"2405.17638","n_code_links":0,"syntology":null},{"paper":"/paper/think-before-you-act-a-two-stage-framework","slug":"think-before-you-act-a-two-stage-framework","title":"Think Before You Act: A Two-Stage Framework for Mitigating Gender Bias Towards Vision-Language Tasks","date":"2024-05-27","arxiv_id":"2405.16860","n_code_links":1,"syntology":null},{"paper":null,"slug":"tima-text-image-mutual-awareness-for","title":"TIMA: Text-Image Mutual Awareness for Balancing Zero-Shot Adversarial Robustness and Generalization Ability","date":"2024-05-27","arxiv_id":"2405.17678","n_code_links":0,"syntology":null},{"paper":"/paper/towards-ultra-high-definition-image-deraining","slug":"towards-ultra-high-definition-image-deraining","title":"Towards Ultra-High-Definition Image Deraining: A Benchmark and An Efficient Method","date":"2024-05-27","arxiv_id":"2405.17074","n_code_links":1,"syntology":{"ran":13,"of":16,"n_ran_checked":12,"n_instrument":1,"unverified":3,"pointer_only":16,"phrase":"13 ran (of which 0 constructed an object rather than computing a result; 12 with no instrument failure: 0 honoured, 0 violated, 12 with no contract checked; 1 where Syntology's instrument failed) · 3 unverified","official":{"repos":["cschenxiang/udr-mixer"],"state":"official (archive's flag): 13 ran","n_ran":13,"n_constructed":0,"n_ran_no_instrument_failure":12,"n_unverified":3,"ran_from_kinds":["official"]}}},{"paper":null,"slug":"uncertainty-management-in-the-construction-of","title":"Uncertainty Management in the Construction of Knowledge Graphs: a Survey","date":"2024-05-27","arxiv_id":"2405.16929","n_code_links":0,"syntology":null},{"paper":null,"slug":"unveiling-themes-in-judicial-proceedings-a","title":"Unveiling Themes in Judicial Proceedings: A Cross-Country Study Using Topic Modeling on Legal Documents from India and the UK","date":"2024-05-27","arxiv_id":"2406.00040","n_code_links":0,"syntology":null},{"paper":null,"slug":"an-evolutionary-framework-for-connect-4-as","title":"An Evolutionary Framework for Connect-4 as Test-Bed for Comparison of Advanced Minimax, Q-Learning and MCTS","date":"2024-05-26","arxiv_id":"2405.16595","n_code_links":0,"syntology":null},{"paper":"/paper/content-and-salient-semantics-collaboration","slug":"content-and-salient-semantics-collaboration","title":"Content and Salient Semantics Collaboration for Cloth-Changing Person Re-Identification","date":"2024-05-26","arxiv_id":"2405.16597","n_code_links":1,"syntology":null},{"paper":"/paper/enhancing-feature-diversity-boosts-channel","slug":"enhancing-feature-diversity-boosts-channel","title":"Enhancing Feature Diversity Boosts Channel-Adaptive Vision Transformers","date":"2024-05-26","arxiv_id":"2405.16419","n_code_links":1,"syntology":{"ran":8,"of":22,"n_ran_checked":5,"n_instrument":3,"unverified":14,"pointer_only":0,"phrase":"8 ran (of which 4 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) · 14 unverified","official":{"repos":["chaudatascience/diverse_channel_vit"],"state":"official (archive's flag): 8 ran","n_ran":8,"n_constructed":4,"n_ran_no_instrument_failure":5,"n_unverified":14,"ran_from_kinds":["official"]}}},{"paper":"/paper/grag-graph-retrieval-augmented-generation","slug":"grag-graph-retrieval-augmented-generation","title":"GRAG: Graph Retrieval-Augmented Generation","date":"2024-05-26","arxiv_id":"2405.16506","n_code_links":1,"syntology":null},{"paper":"/paper/kg-fit-knowledge-graph-fine-tuning-upon-open","slug":"kg-fit-knowledge-graph-fine-tuning-upon-open","title":"KG-FIT: Knowledge Graph Fine-Tuning Upon Open-World Knowledge","date":"2024-05-26","arxiv_id":"2405.16412","n_code_links":1,"syntology":{"ran":1,"of":1,"n_ran_checked":1,"n_instrument":0,"unverified":0,"pointer_only":1,"phrase":"1 ran (of which 1 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; the one sample that ran constructed an object rather than computing a result","official":{"repos":["pat-jj/KG-FIT"],"state":"official (archive's flag): 1 ran","n_ran":1,"n_constructed":1,"n_ran_no_instrument_failure":1,"n_unverified":0,"ran_from_kinds":["official"]}}},{"paper":null,"slug":"m-rag-reinforcing-large-language-model","title":"M-RAG: Reinforcing Large Language Model Performance through Retrieval-Augmented Generation with Multiple Partitions","date":"2024-05-26","arxiv_id":"2405.16420","n_code_links":0,"syntology":null},{"paper":null,"slug":"machine-learning-in-business-process","title":"Machine learning in business process management: A systematic literature review","date":"2024-05-26","arxiv_id":"2405.16396","n_code_links":0,"syntology":null},{"paper":null,"slug":"pprsteg-printing-and-photography-robust-qr","title":"Robust Message Embedding via Attention Flow-Based Steganography","date":"2024-05-26","arxiv_id":"2405.16414","n_code_links":0,"syntology":null},{"paper":null,"slug":"ra-a-machine-based-rational-agent-part-2","title":"RA: A machine based rational agent, Part 2, Preliminary test","date":"2024-05-26","arxiv_id":"2405.16613","n_code_links":0,"syntology":null},{"paper":"/paper/symtax-symbiotic-relationship-and-taxonomy","slug":"symtax-symbiotic-relationship-and-taxonomy","title":"SymTax: Symbiotic Relationship and Taxonomy Fusion for Effective Citation Recommendation","date":"2024-05-26","arxiv_id":"2406.01606","n_code_links":1,"syntology":null},{"paper":null,"slug":"towards-imitation-learning-in-real-world","title":"Multi-Agent Inverse Reinforcement Learning in Real World Unstructured Pedestrian Crowds","date":"2024-05-26","arxiv_id":"2405.16439","n_code_links":0,"syntology":null},{"paper":null,"slug":"transfer-learning-under-high-dimensional-1","title":"Transfer Learning Under High-Dimensional Graph Convolutional Regression Model for Node Classification","date":"2024-05-26","arxiv_id":"2405.16672","n_code_links":0,"syntology":null},{"paper":null,"slug":"accelerating-inference-of-retrieval-augmented","title":"Accelerating Inference of Retrieval-Augmented Generation via Sparse Context Selection","date":"2024-05-25","arxiv_id":"2405.16178","n_code_links":0,"syntology":null},{"paper":null,"slug":"ai-assisted-detector-design-for-the-eic-aid-2","title":"AI-Assisted Detector Design for the EIC (AID(2)E)","date":"2024-05-25","arxiv_id":"2405.16279","n_code_links":0,"syntology":null},{"paper":"/paper/colt-towards-completeness-oriented-tool","slug":"colt-towards-completeness-oriented-tool","title":"Towards Completeness-Oriented Tool Retrieval for Large Language Models","date":"2024-05-25","arxiv_id":"2405.16089","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":["quchangle1/colt"],"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/continuous-temporal-domain-generalization","slug":"continuous-temporal-domain-generalization","title":"Continuous Temporal Domain Generalization","date":"2024-05-25","arxiv_id":"2405.16075","n_code_links":1,"syntology":{"ran":3,"of":4,"n_ran_checked":3,"n_instrument":0,"unverified":1,"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","official":{"repos":["zekun-cai/koodos"],"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"]}}},{"paper":"/paper/diffusion-based-reinforcement-learning-via-q","slug":"diffusion-based-reinforcement-learning-via-q","title":"Diffusion-based Reinforcement Learning via Q-weighted Variational Policy Optimization","date":"2024-05-25","arxiv_id":"2405.16173","n_code_links":1,"syntology":null},{"paper":null,"slug":"dual-adapter-training-free-dual-adaptation","title":"Dual-Adapter: Training-free Dual Adaptation for Few-shot Out-of-Distribution Detection","date":"2024-05-25","arxiv_id":"2405.16146","n_code_links":0,"syntology":null},{"paper":"/paper/local-causal-structure-learning-in-the","slug":"local-causal-structure-learning-in-the","title":"Local Causal Structure Learning in the Presence of Latent Variables","date":"2024-05-25","arxiv_id":"2405.16225","n_code_links":1,"syntology":null},{"paper":"/paper/mitigating-backdoor-attack-by-injecting","slug":"mitigating-backdoor-attack-by-injecting","title":"Mitigating Backdoor Attack by Injecting Proactive Defensive Backdoor","date":"2024-05-25","arxiv_id":"2405.16112","n_code_links":2,"syntology":{"ran":4,"of":5,"n_ran_checked":3,"n_instrument":1,"unverified":1,"pointer_only":5,"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) · 1 unverified","official":{"repos":["shawkui/Proactive_Defensive_Backdoor","sclbd/backdoorbench"],"state":"official (archive's flag): 4 ran","n_ran":4,"n_constructed":0,"n_ran_no_instrument_failure":3,"n_unverified":1,"ran_from_kinds":["official"]}}},{"paper":"/paper/paths-of-a-million-people-extracting-life","slug":"paths-of-a-million-people-extracting-life","title":"Paths of A Million People: Extracting Life Trajectories from Wikipedia","date":"2024-05-25","arxiv_id":"2406.00032","n_code_links":1,"syntology":null},{"paper":null,"slug":"plug-revisiting-amodal-segmentation-with","title":"PLUG: Revisiting Amodal Segmentation with Foundation Model and Hierarchical Focus","date":"2024-05-25","arxiv_id":"2405.16094","n_code_links":0,"syntology":null},{"paper":"/paper/real-time-scene-graph-generation","slug":"real-time-scene-graph-generation","title":"REACT: Real-time Efficiency and Accuracy Compromise for Tradeoffs in Scene Graph Generation","date":"2024-05-25","arxiv_id":"2405.16116","n_code_links":1,"syntology":null},{"paper":"/paper/reliable-source-approximation-source-free","slug":"reliable-source-approximation-source-free","title":"Reliable Source Approximation: Source-Free Unsupervised Domain Adaptation for Vestibular Schwannoma MRI Segmentation","date":"2024-05-25","arxiv_id":"2405.16102","n_code_links":1,"syntology":null},{"paper":null,"slug":"roboarm-nmp-a-learning-environment-for-neural","title":"RoboArm-NMP: a Learning Environment for Neural Motion Planning","date":"2024-05-25","arxiv_id":"2405.16335","n_code_links":0,"syntology":null},{"paper":null,"slug":"uncertainty-measurement-of-deep-learning","title":"Uncertainty Measurement of Deep Learning System based on the Convex Hull of Training Sets","date":"2024-05-25","arxiv_id":"2405.16082","n_code_links":0,"syntology":null},{"paper":"/paper/underwater-image-enhancement-by-diffusion","slug":"underwater-image-enhancement-by-diffusion","title":"Underwater Image Enhancement by Diffusion Model with Customized CLIP-Classifier","date":"2024-05-25","arxiv_id":"2405.16214","n_code_links":1,"syntology":null},{"paper":null,"slug":"visual-roleplay-universal-jailbreak-attack-on","title":"Visual-RolePlay: Universal Jailbreak Attack on MultiModal Large Language Models via Role-playing Image Character","date":"2024-05-25","arxiv_id":"2405.20773","n_code_links":0,"syntology":null},{"paper":null,"slug":"a-neurosymbolic-framework-for-bias-correction","title":"A Neurosymbolic Framework for Bias Correction in Convolutional Neural Networks","date":"2024-05-24","arxiv_id":"2405.15886","n_code_links":0,"syntology":null},{"paper":"/paper/art-automatic-red-teaming-for-text-to-image","slug":"art-automatic-red-teaming-for-text-to-image","title":"ART: Automatic Red-teaming for Text-to-Image Models to Protect Benign Users","date":"2024-05-24","arxiv_id":"2405.19360","n_code_links":1,"syntology":{"ran":10,"of":12,"n_ran_checked":9,"n_instrument":1,"unverified":2,"pointer_only":0,"phrase":"10 ran (of which 0 constructed an object rather than computing a result; 9 with no instrument failure: 2 honoured, 0 violated, 7 with no contract checked; 1 where Syntology's instrument failed) · 2 unverified","official":{"repos":["guanlinlee/art"],"state":"official (archive's flag): 10 ran","n_ran":10,"n_constructed":0,"n_ran_no_instrument_failure":9,"n_unverified":2,"ran_from_kinds":["official"]}}},{"paper":null,"slug":"bdetclip-multimodal-prompting-contrastive","title":"BDetCLIP: Multimodal Prompting Contrastive Test-Time Backdoor Detection","date":"2024-05-24","arxiv_id":"2405.15269","n_code_links":0,"syntology":null},{"paper":null,"slug":"bisup-bidirectional-quantization-error","title":"BiSup: Bidirectional Quantization Error Suppression for Large Language Models","date":"2024-05-24","arxiv_id":"2405.15346","n_code_links":0,"syntology":null},{"paper":null,"slug":"charp-conversation-history-awareness-probing","title":"CHARP: Conversation History AwaReness Probing for Knowledge-grounded Dialogue Systems","date":"2024-05-24","arxiv_id":"2405.15110","n_code_links":0,"syntology":null},{"paper":null,"slug":"deep-activity-model-a-generative-approach-for","title":"Deep Activity Model: A Generative Approach for Human Mobility Pattern Synthesis","date":"2024-05-24","arxiv_id":"2405.17468","n_code_links":0,"syntology":null},{"paper":null,"slug":"dfgnn-dual-frequency-graph-neural-network-for","title":"DFGNN: Dual-frequency Graph Neural Network for Sign-aware Feedback","date":"2024-05-24","arxiv_id":"2405.15280","n_code_links":0,"syntology":null},{"paper":null,"slug":"diff3ds-generating-view-consistent-3d-sketch","title":"Diff3DS: Generating View-Consistent 3D Sketch via Differentiable Curve Rendering","date":"2024-05-24","arxiv_id":"2405.15305","n_code_links":0,"syntology":null},{"paper":null,"slug":"efficient-biomedical-entity-linking-clinical","title":"Efficient Biomedical Entity Linking: Clinical Text Standardization with Low-Resource Techniques","date":"2024-05-24","arxiv_id":"2405.15134","n_code_links":0,"syntology":null},{"paper":"/paper/gs-hider-hiding-messages-into-3d-gaussian","slug":"gs-hider-hiding-messages-into-3d-gaussian","title":"GS-Hider: Hiding Messages into 3D Gaussian Splatting","date":"2024-05-24","arxiv_id":"2405.15118","n_code_links":1,"syntology":null},{"paper":"/paper/hdc-hierarchical-semantic-decoding-with-1","slug":"hdc-hierarchical-semantic-decoding-with-1","title":"CoHD: A Counting-Aware Hierarchical Decoding Framework for Generalized Referring Expression Segmentation","date":"2024-05-24","arxiv_id":"2405.15658","n_code_links":2,"syntology":null},{"paper":null,"slug":"human-centered-automation","title":"Human-Centered Automation","date":"2024-05-24","arxiv_id":"2405.15960","n_code_links":0,"syntology":null},{"paper":null,"slug":"integrated-design-for-wave-energy-converter","title":"Integrated Design for Wave Energy Converter Farms: Assessing Plant, Control, Layout, and Site Selection Coupling in the Presence of Irregular Waves","date":"2024-05-24","arxiv_id":"2405.15717","n_code_links":0,"syntology":null},{"paper":null,"slug":"knowledge-informed-auto-penetration-testing","title":"Knowledge-Informed Auto-Penetration Testing Based on Reinforcement Learning with Reward Machine","date":"2024-05-24","arxiv_id":"2405.15908","n_code_links":0,"syntology":null},{"paper":"/paper/language-driven-interactive-traffic","slug":"language-driven-interactive-traffic","title":"Language-Driven Interactive Traffic Trajectory Generation","date":"2024-05-24","arxiv_id":"2405.15388","n_code_links":1,"syntology":null},{"paper":"/paper/nuwats-mending-every-incomplete-time-series","slug":"nuwats-mending-every-incomplete-time-series","title":"NuwaTS: a Foundation Model Mending Every Incomplete Time Series","date":"2024-05-24","arxiv_id":"2405.15317","n_code_links":1,"syntology":{"ran":1,"of":1,"n_ran_checked":1,"n_instrument":0,"unverified":0,"pointer_only":1,"phrase":"1 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; 0 where Syntology's instrument failed) · 0 unverified","official":{"repos":["chengyui/nuwats"],"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/output-constrained-decision-trees","slug":"output-constrained-decision-trees","title":"Output-Constrained Decision Trees","date":"2024-05-24","arxiv_id":"2405.15314","n_code_links":1,"syntology":null},{"paper":null,"slug":"prompt-aware-adapter-towards-learning","title":"Prompt-Aware Adapter: Towards Learning Adaptive Visual Tokens for Multimodal Large Language Models","date":"2024-05-24","arxiv_id":"2405.15684","n_code_links":0,"syntology":null},{"paper":null,"slug":"ps-cad-local-geometry-guidance-via-prompting","title":"PS-CAD: Local Geometry Guidance via Prompting and Selection for CAD Reconstruction","date":"2024-05-24","arxiv_id":"2405.15188","n_code_links":0,"syntology":null},{"paper":null,"slug":"reducing-the-cost-of-posterior-sampling-in","title":"Scalable diffusion posterior sampling in infinite-dimensional inverse problems","date":"2024-05-24","arxiv_id":"2405.15643","n_code_links":0,"syntology":null},{"paper":"/paper/shopping-queries-image-dataset-sqid-an-image","slug":"shopping-queries-image-dataset-sqid-an-image","title":"Shopping Queries Image Dataset (SQID): An Image-Enriched ESCI Dataset for Exploring Multimodal Learning in Product Search","date":"2024-05-24","arxiv_id":"2405.15190","n_code_links":1,"syntology":null},{"paper":null,"slug":"spatial-modeling-algorithms-for-reactions-and","title":"Spatial modeling algorithms for reactions and transport (SMART) in biological cells","date":"2024-05-24","arxiv_id":"2405.15968","n_code_links":0,"syntology":null},{"paper":null,"slug":"spiketrum-an-fpga-based-implementation-of-a","title":"Spiketrum: An FPGA-based Implementation of a Neuromorphic Cochlea","date":"2024-05-24","arxiv_id":"2405.15923","n_code_links":0,"syntology":null},{"paper":"/paper/towards-precision-healthcare-robust-fusion-of","slug":"towards-precision-healthcare-robust-fusion-of","title":"Towards Precision Healthcare: Robust Fusion of Time Series and Image Data","date":"2024-05-24","arxiv_id":"2405.15442","n_code_links":1,"syntology":null},{"paper":null,"slug":"a-classification-model-based-on-a-population","title":"A classification model based on a population of hypergraphs","date":"2024-05-23","arxiv_id":"2405.15063","n_code_links":0,"syntology":null},{"paper":"/paper/a-lost-opportunity-for-vision-language-models","slug":"a-lost-opportunity-for-vision-language-models","title":"A Lost Opportunity for Vision-Language Models: A Comparative Study of Online Test-Time Adaptation for Vision-Language Models","date":"2024-05-23","arxiv_id":"2405.14977","n_code_links":1,"syntology":null},{"paper":"/paper/a-survey-on-vision-language-action-models-for","slug":"a-survey-on-vision-language-action-models-for","title":"A Survey on Vision-Language-Action Models for Embodied AI","date":"2024-05-23","arxiv_id":"2405.14093","n_code_links":1,"syntology":null},{"paper":null,"slug":"a-textbook-remedy-for-domain-shifts-knowledge","title":"A Textbook Remedy for Domain Shifts: Knowledge Priors for Medical Image Analysis","date":"2024-05-23","arxiv_id":"2405.14839","n_code_links":0,"syntology":null},{"paper":"/paper/agile-a-novel-framework-of-llm-agents","slug":"agile-a-novel-framework-of-llm-agents","title":"AGILE: A Novel Reinforcement Learning Framework of LLM Agents","date":"2024-05-23","arxiv_id":"2405.14751","n_code_links":1,"syntology":{"ran":4,"of":4,"n_ran_checked":3,"n_instrument":1,"unverified":0,"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) · 0 unverified","official":{"repos":["bytarnish/agile"],"state":"official (archive's flag): 4 ran","n_ran":4,"n_constructed":0,"n_ran_no_instrument_failure":3,"n_unverified":0,"ran_from_kinds":["official"]}}},{"paper":null,"slug":"aligning-embeddings-and-geometric-random","title":"Aligning Embeddings and Geometric Random Graphs: Informational Results and Computational Approaches for the Procrustes-Wasserstein Problem","date":"2024-05-23","arxiv_id":"2405.14532","n_code_links":0,"syntology":null},{"paper":"/paper/awesome-multi-modal-object-tracking","slug":"awesome-multi-modal-object-tracking","title":"Awesome Multi-modal Object Tracking","date":"2024-05-23","arxiv_id":"2405.14200","n_code_links":5,"syntology":null},{"paper":"/paper/controllable-continual-test-time-adaptation","slug":"controllable-continual-test-time-adaptation","title":"Controllable Continual Test-Time Adaptation","date":"2024-05-23","arxiv_id":"2405.14602","n_code_links":2,"syntology":null},{"paper":"/paper/controlling-behavioral-diversity-in-multi","slug":"controlling-behavioral-diversity-in-multi","title":"Controlling Behavioral Diversity in Multi-Agent Reinforcement Learning","date":"2024-05-23","arxiv_id":"2405.15054","n_code_links":1,"syntology":{"ran":6,"of":6,"n_ran_checked":6,"n_instrument":0,"unverified":0,"pointer_only":6,"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":["proroklab/controllingbehavioraldiversity"],"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/ehrmamba-towards-generalizable-and-scalable","slug":"ehrmamba-towards-generalizable-and-scalable","title":"EHRMamba: Towards Generalizable and Scalable Foundation Models for Electronic Health Records","date":"2024-05-23","arxiv_id":"2405.14567","n_code_links":1,"syntology":{"ran":14,"of":14,"n_ran_checked":14,"n_instrument":0,"unverified":0,"pointer_only":0,"phrase":"14 ran (of which 0 constructed an object rather than computing a result; 14 with no instrument failure: 0 honoured, 0 violated, 14 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified","official":{"repos":["VectorInstitute/odyssey"],"state":"official (archive's flag): 14 ran","n_ran":14,"n_constructed":0,"n_ran_no_instrument_failure":14,"n_unverified":0,"ran_from_kinds":["official"]}}},{"paper":"/paper/explaining-graph-neural-networks-via","slug":"explaining-graph-neural-networks-via","title":"Explaining Graph Neural Networks via Structure-aware Interaction Index","date":"2024-05-23","arxiv_id":"2405.14352","n_code_links":1,"syntology":{"ran":2,"of":2,"n_ran_checked":2,"n_instrument":0,"unverified":0,"pointer_only":2,"phrase":"2 ran (of which 0 constructed an object rather than computing a result; 2 with no instrument failure: 0 honoured, 2 violated, 0 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified","official":{"repos":["ngocbh/mage"],"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"]}}},{"paper":null,"slug":"fairness-hub-technical-briefs-definition-and","title":"Fairness Hub Technical Briefs: Definition and Detection of Distribution Shift","date":"2024-05-23","arxiv_id":"2405.14186","n_code_links":0,"syntology":null},{"paper":"/paper/flora-low-rank-core-space-for-n-dimension","slug":"flora-low-rank-core-space-for-n-dimension","title":"FLoRA: Low-Rank Core Space for N-dimension","date":"2024-05-23","arxiv_id":"2405.14739","n_code_links":1,"syntology":{"ran":4,"of":8,"n_ran_checked":4,"n_instrument":0,"unverified":4,"pointer_only":8,"phrase":"4 ran (of which 4 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) · 4 unverified; every one of the 4 samples that ran constructed an object rather than computing a result","official":{"repos":["sjtu-deepvisionlab/flora"],"state":"official (archive's flag): 4 ran","n_ran":4,"n_constructed":4,"n_ran_no_instrument_failure":4,"n_unverified":4,"ran_from_kinds":["official"]}}},{"paper":"/paper/focus-anywhere-for-fine-grained-multi-page","slug":"focus-anywhere-for-fine-grained-multi-page","title":"Focus Anywhere for Fine-grained Multi-page Document Understanding","date":"2024-05-23","arxiv_id":"2405.14295","n_code_links":1,"syntology":{"ran":8,"of":8,"n_ran_checked":6,"n_instrument":2,"unverified":0,"pointer_only":8,"phrase":"8 ran (of which 0 constructed an object rather than computing a result; 6 with no instrument failure: 1 honoured, 1 violated, 4 with no contract checked; 2 where Syntology's instrument failed) · 0 unverified","official":null}},{"paper":null,"slug":"information-fusion-in-smart-agriculture","title":"Information Fusion in Smart Agriculture: Machine Learning Applications and Future Research Directions","date":"2024-05-23","arxiv_id":"2405.17465","n_code_links":0,"syntology":null},{"paper":"/paper/linking-in-context-learning-in-transformers","slug":"linking-in-context-learning-in-transformers","title":"Linking In-context Learning in Transformers to Human Episodic Memory","date":"2024-05-23","arxiv_id":"2405.14992","n_code_links":1,"syntology":{"ran":4,"of":4,"n_ran_checked":1,"n_instrument":3,"unverified":0,"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) · 0 unverified","official":{"repos":["corxyz/icl-cmr"],"state":"official (archive's flag): 4 ran","n_ran":4,"n_constructed":0,"n_ran_no_instrument_failure":1,"n_unverified":0,"ran_from_kinds":["official"]}}},{"paper":"/paper/lova3-learning-to-visual-question-answering","slug":"lova3-learning-to-visual-question-answering","title":"LOVA3: Learning to Visual Question Answering, Asking and Assessment","date":"2024-05-23","arxiv_id":"2405.14974","n_code_links":1,"syntology":{"ran":8,"of":10,"n_ran_checked":5,"n_instrument":3,"unverified":2,"pointer_only":10,"phrase":"8 ran (of which 0 constructed an object rather than computing a result; 5 with no instrument failure: 1 honoured, 2 violated, 2 with no contract checked; 3 where Syntology's instrument failed) · 2 unverified","official":{"repos":["showlab/lova3"],"state":"official (archive's flag): 7 ran","n_ran":7,"n_constructed":0,"n_ran_no_instrument_failure":4,"n_unverified":2,"ran_from_kinds":["official","unlocated"]}}}],"record_sha256":"d138b528f068f886601124538358d44bd15bd7b6757bdd8c531e0bb382399fd0","record_changed_at":"2026-09-28","record_changed_at_basis":"first_hashed"}