{"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/32","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":32,"pages_in_order":56,"rows_per_page":100,"rows":[3101,3200],"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/31","next":"/method/align/papers/33","papers":[{"paper":null,"slug":"fish-bone-diagram-of-research-issue-gain-a","title":"Fish-bone diagram of research issue: Gain a bird's-eye view on a specific research topic","date":"2024-04-30","arxiv_id":"2407.01553","n_code_links":0,"syntology":null},{"paper":null,"slug":"heart-rate-and-body-temperature-relationship","title":"Heart Rate and Body Temperature Relationship in Children Admitted to PICU -- A Machine Learning Approach","date":"2024-04-30","arxiv_id":"2405.00180","n_code_links":0,"syntology":null},{"paper":"/paper/one-stage-open-vocabulary-temporal-action","slug":"one-stage-open-vocabulary-temporal-action","title":"One-Stage Open-Vocabulary Temporal Action Detection Leveraging Temporal Multi-scale and Action Label Features","date":"2024-04-30","arxiv_id":"2404.19542","n_code_links":1,"syntology":null},{"paper":null,"slug":"pangea-procedural-artificial-narrative-using","title":"PANGeA: Procedural Artificial Narrative using Generative AI for Turn-Based Video Games","date":"2024-04-30","arxiv_id":"2404.19721","n_code_links":0,"syntology":null},{"paper":null,"slug":"privcomp-kg-leveraging-knowledge-graph-and","title":"PrivComp-KG : Leveraging Knowledge Graph and Large Language Models for Privacy Policy Compliance Verification","date":"2024-04-30","arxiv_id":"2404.19744","n_code_links":0,"syntology":null},{"paper":"/paper/uncovering-what-why-and-how-a-comprehensive","slug":"uncovering-what-why-and-how-a-comprehensive","title":"Uncovering What, Why and How: A Comprehensive Benchmark for Causation Understanding of Video Anomaly","date":"2024-04-30","arxiv_id":"2405.00181","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":["fesvhtr/cuva"],"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":"bootstrap-3d-reconstructed-scenes-from-3d","title":"Bootstrap-GS: Self-Supervised Augmentation for High-Fidelity Gaussian Splatting","date":"2024-04-29","arxiv_id":"2404.18669","n_code_links":0,"syntology":null},{"paper":"/paper/detecting-critical-treatment-effect-bias-in","slug":"detecting-critical-treatment-effect-bias-in","title":"Detecting critical treatment effect bias in small subgroups","date":"2024-04-29","arxiv_id":"2404.18905","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":["jaabmar/kernel-test-bias"],"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":null,"slug":"hft-half-fine-tuning-for-large-language","title":"HFT: Half Fine-Tuning for Large Language Models","date":"2024-04-29","arxiv_id":"2404.18466","n_code_links":0,"syntology":null},{"paper":"/paper/mm-tts-a-unified-framework-for-multimodal","slug":"mm-tts-a-unified-framework-for-multimodal","title":"UMETTS: A Unified Framework for Emotional Text-to-Speech Synthesis with Multimodal Prompts","date":"2024-04-29","arxiv_id":"2404.18398","n_code_links":1,"syntology":{"ran":4,"of":5,"n_ran_checked":2,"n_instrument":2,"unverified":1,"pointer_only":5,"phrase":"4 ran (of which 0 constructed an object rather than computing a result; 2 with no instrument failure: 0 honoured, 0 violated, 2 with no contract checked; 2 where Syntology's instrument failed) · 1 unverified","official":{"repos":["kttrcdl/umetts"],"state":"official (archive's flag): 4 ran","n_ran":4,"n_constructed":0,"n_ran_no_instrument_failure":2,"n_unverified":1,"ran_from_kinds":["official"]}}},{"paper":"/paper/more-rlhf-more-trust-on-the-impact-of-human","slug":"more-rlhf-more-trust-on-the-impact-of-human","title":"More RLHF, More Trust? On The Impact of Preference Alignment On Trustworthiness","date":"2024-04-29","arxiv_id":"2404.18870","n_code_links":1,"syntology":null},{"paper":null,"slug":"p53-orchestrates-cancer-metabolism-unveiling","title":"P53 Orchestrates Cancer Metabolism: Unveiling Strategies to Reverse the Warburg Effect","date":"2024-04-29","arxiv_id":"2404.18613","n_code_links":0,"syntology":null},{"paper":null,"slug":"performance-aligned-llms-for-generating-fast","title":"Performance-Aligned LLMs for Generating Fast Code","date":"2024-04-29","arxiv_id":"2404.18864","n_code_links":0,"syntology":null},{"paper":"/paper/potential-paradigm-shift-in-hazard-risk","slug":"potential-paradigm-shift-in-hazard-risk","title":"Potential Paradigm Shift in Hazard Risk Management: AI-Based Weather Forecast for Tropical Cyclone Hazards","date":"2024-04-29","arxiv_id":"2404.18440","n_code_links":1,"syntology":null},{"paper":null,"slug":"qana-llm-based-question-generation-and","title":"QANA: LLM-based Question Generation and Network Analysis for Zero-shot Key Point Analysis and Beyond","date":"2024-04-29","arxiv_id":"2404.18371","n_code_links":0,"syntology":null},{"paper":null,"slug":"sample-efficient-robust-multi-agent","title":"Sample-Efficient Robust Multi-Agent Reinforcement Learning in the Face of Environmental Uncertainty","date":"2024-04-29","arxiv_id":"2404.18909","n_code_links":0,"syntology":null},{"paper":"/paper/towards-extreme-image-compression-with-latent","slug":"towards-extreme-image-compression-with-latent","title":"Towards Extreme Image Compression with Latent Feature Guidance and Diffusion Prior","date":"2024-04-29","arxiv_id":"2404.18820","n_code_links":1,"syntology":{"ran":3,"of":3,"n_ran_checked":2,"n_instrument":1,"unverified":0,"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) · 0 unverified","official":{"repos":["huai-chang/DiffEIC"],"state":"official (archive's flag): 3 ran","n_ran":3,"n_constructed":0,"n_ran_no_instrument_failure":2,"n_unverified":0,"ran_from_kinds":["official"]}}},{"paper":null,"slug":"work-smarter-not-harder-efficient","title":"Work Smarter...Not Harder: Efficient Minimization of Dependency Length in SOV Languages","date":"2024-04-29","arxiv_id":"2404.18684","n_code_links":0,"syntology":null},{"paper":null,"slug":"align-minimize-and-diversify-a-source-free","title":"Align, Minimize and Diversify: A Source-Free Unsupervised Domain Adaptation Method for Handwritten Text Recognition","date":"2024-04-28","arxiv_id":"2404.18260","n_code_links":0,"syntology":null},{"paper":null,"slug":"odcr-orthogonal-decoupling-contrastive","title":"ODCR: Orthogonal Decoupling Contrastive Regularization for Unpaired Image Dehazing","date":"2024-04-27","arxiv_id":"2404.17825","n_code_links":0,"syntology":null},{"paper":null,"slug":"serpent-vlm-self-refining-radiology-report","title":"SERPENT-VLM : Self-Refining Radiology Report Generation Using Vision Language Models","date":"2024-04-27","arxiv_id":"2404.17912","n_code_links":0,"syntology":null},{"paper":null,"slug":"t-clap-temporal-enhanced-contrastive-language","title":"T-CLAP: Temporal-Enhanced Contrastive Language-Audio Pretraining","date":"2024-04-27","arxiv_id":"2404.17806","n_code_links":0,"syntology":null},{"paper":"/paper/mv-vton-multi-view-virtual-try-on-with","slug":"mv-vton-multi-view-virtual-try-on-with","title":"MV-VTON: Multi-View Virtual Try-On with Diffusion Models","date":"2024-04-26","arxiv_id":"2404.17364","n_code_links":1,"syntology":null},{"paper":"/paper/phase-aggregated-dual-branch-network-for","slug":"phase-aggregated-dual-branch-network-for","title":"Phase-aggregated Dual-branch Network for Efficient Fingerprint Dense Registration","date":"2024-04-26","arxiv_id":"2404.17159","n_code_links":1,"syntology":null},{"paper":"/paper/trust-dynamics-and-market-behavior-in","slug":"trust-dynamics-and-market-behavior-in","title":"Trust Dynamics and Market Behavior in Cryptocurrency: A Comparative Study of Centralized and Decentralized Exchanges","date":"2024-04-26","arxiv_id":"2404.17227","n_code_links":1,"syntology":null},{"paper":"/paper/when-to-trust-llms-aligning-confidence-with","slug":"when-to-trust-llms-aligning-confidence-with","title":"When to Trust LLMs: Aligning Confidence with Response Quality","date":"2024-04-26","arxiv_id":"2404.17287","n_code_links":1,"syntology":{"ran":11,"of":12,"n_ran_checked":10,"n_instrument":1,"unverified":1,"pointer_only":12,"phrase":"11 ran (of which 0 constructed an object rather than computing a result; 10 with no instrument failure: 0 honoured, 0 violated, 10 with no contract checked; 1 where Syntology's instrument failed) · 1 unverified","official":{"repos":["taoshuchang/conqord"],"state":"official (archive's flag): 11 ran","n_ran":11,"n_constructed":0,"n_ran_no_instrument_failure":10,"n_unverified":1,"ran_from_kinds":["official"]}}},{"paper":"/paper/a-closer-look-at-classification-evaluation","slug":"a-closer-look-at-classification-evaluation","title":"A Closer Look at Classification Evaluation Metrics and a Critical Reflection of Common Evaluation Practice","date":"2024-04-25","arxiv_id":"2404.16958","n_code_links":1,"syntology":null},{"paper":null,"slug":"correlation-decoupled-knowledge-distillation","title":"Correlation-Decoupled Knowledge Distillation for Multimodal Sentiment Analysis with Incomplete Modalities","date":"2024-04-25","arxiv_id":"2404.16456","n_code_links":0,"syntology":null},{"paper":"/paper/dual-expert-distillation-network-for","slug":"dual-expert-distillation-network-for","title":"Dual Expert Distillation Network for Generalized Zero-Shot Learning","date":"2024-04-25","arxiv_id":"2404.16348","n_code_links":1,"syntology":{"ran":0,"of":2,"n_ran_checked":0,"n_instrument":0,"unverified":2,"pointer_only":2,"phrase":"0 ran · 2 unverified","official":{"repos":["zjrao/dedn"],"state":"official: harvested, nothing ran","n_ran":0,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":2,"ran_from_kinds":[]}}},{"paper":"/paper/fedstyle-style-based-federated-learning","slug":"fedstyle-style-based-federated-learning","title":"FedStyle: Style-Based Federated Learning Crowdsourcing Framework for Art Commissions","date":"2024-04-25","arxiv_id":"2404.16336","n_code_links":1,"syntology":null},{"paper":null,"slug":"interactive3d-create-what-you-want-by","title":"Interactive3D: Create What You Want by Interactive 3D Generation","date":"2024-04-25","arxiv_id":"2404.16510","n_code_links":0,"syntology":null},{"paper":"/paper/on-the-fly-data-augmentation-for-forecasting","slug":"on-the-fly-data-augmentation-for-forecasting","title":"Online Data Augmentation for Forecasting with Deep Learning","date":"2024-04-25","arxiv_id":"2404.16918","n_code_links":1,"syntology":null},{"paper":"/paper/opendlign-enhancing-open-world-3d-learning","slug":"opendlign-enhancing-open-world-3d-learning","title":"OpenDlign: Open-World Point Cloud Understanding with Depth-Aligned Images","date":"2024-04-25","arxiv_id":"2404.16538","n_code_links":1,"syntology":{"ran":4,"of":4,"n_ran_checked":2,"n_instrument":2,"unverified":0,"pointer_only":4,"phrase":"4 ran (of which 0 constructed an object rather than computing a result; 2 with no instrument failure: 1 honoured, 0 violated, 1 with no contract checked; 2 where Syntology's instrument failed) · 0 unverified","official":{"repos":["Yebulabula/OpenDlign"],"state":"official (archive's flag): 4 ran","n_ran":4,"n_constructed":0,"n_ran_no_instrument_failure":2,"n_unverified":0,"ran_from_kinds":["official"]}}},{"paper":"/paper/revisiting-text-to-image-evaluation-with","slug":"revisiting-text-to-image-evaluation-with","title":"Revisiting Text-to-Image Evaluation with Gecko: On Metrics, Prompts, and Human Ratings","date":"2024-04-25","arxiv_id":"2404.16820","n_code_links":1,"syntology":null},{"paper":"/paper/weak-to-strong-extrapolation-expedites","slug":"weak-to-strong-extrapolation-expedites","title":"Weak-to-Strong Extrapolation Expedites Alignment","date":"2024-04-25","arxiv_id":"2404.16792","n_code_links":1,"syntology":null},{"paper":null,"slug":"domain-specific-improvement-on-psychotherapy","title":"Domain-Specific Improvement on Psychotherapy Chatbot Using Assistant","date":"2024-04-24","arxiv_id":"2404.16160","n_code_links":0,"syntology":null},{"paper":null,"slug":"mixed-supervised-graph-contrastive-learning","title":"Mixed Supervised Graph Contrastive Learning for Recommendation","date":"2024-04-24","arxiv_id":"2404.15954","n_code_links":0,"syntology":null},{"paper":null,"slug":"ai-and-machine-learning-for-next-generation","title":"AI and Machine Learning for Next Generation Science Assessments","date":"2024-04-23","arxiv_id":"2405.06660","n_code_links":0,"syntology":null},{"paper":"/paper/aligning-knowledge-graphs-provided-by-humans","slug":"aligning-knowledge-graphs-provided-by-humans","title":"Aligning Knowledge Graphs Provided by Humans and Generated from Neural Networks in Specific Tasks","date":"2024-04-23","arxiv_id":"2404.16884","n_code_links":1,"syntology":null},{"paper":"/paper/atomas-hierarchical-alignment-on-molecule","slug":"atomas-hierarchical-alignment-on-molecule","title":"Atomas: Hierarchical Alignment on Molecule-Text for Unified Molecule Understanding and Generation","date":"2024-04-23","arxiv_id":"2404.16880","n_code_links":1,"syntology":null},{"paper":null,"slug":"enhancing-prompt-following-with-visual","title":"Enhancing Prompt Following with Visual Control Through Training-Free Mask-Guided Diffusion","date":"2024-04-23","arxiv_id":"2404.14768","n_code_links":0,"syntology":null},{"paper":"/paper/leveraging-speech-for-gesture-detection-in","slug":"leveraging-speech-for-gesture-detection-in","title":"Leveraging Speech for Gesture Detection in Multimodal Communication","date":"2024-04-23","arxiv_id":"2404.14952","n_code_links":1,"syntology":null},{"paper":null,"slug":"sentence-level-or-token-level-a-comprehensive","title":"Sentence-Level or Token-Level? A Comprehensive Study on Knowledge Distillation","date":"2024-04-23","arxiv_id":"2404.14827","n_code_links":0,"syntology":null},{"paper":"/paper/shed-shapley-based-automated-dataset","slug":"shed-shapley-based-automated-dataset","title":"SHED: Shapley-Based Automated Dataset Refinement for Instruction Fine-Tuning","date":"2024-04-23","arxiv_id":"2405.00705","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":["lucidreamer9/shed-shapley-based-automated-dataset-refinement"],"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/uncertainty-in-latent-representations-of","slug":"uncertainty-in-latent-representations-of","title":"Uncertainty in latent representations of variational autoencoders optimized for visual tasks","date":"2024-04-23","arxiv_id":"2404.15390","n_code_links":1,"syntology":null},{"paper":"/paper/a-comprehensive-survey-and-taxonomy-on-point","slug":"a-comprehensive-survey-and-taxonomy-on-point","title":"Deep Learning-Based Point Cloud Registration: A Comprehensive Survey and Taxonomy","date":"2024-04-22","arxiv_id":"2404.13830","n_code_links":1,"syntology":null},{"paper":"/paper/a-multimodal-feature-distillation-with-cnn","slug":"a-multimodal-feature-distillation-with-cnn","title":"A Multimodal Feature Distillation with CNN-Transformer Network for Brain Tumor Segmentation with Incomplete Modalities","date":"2024-04-22","arxiv_id":"2404.14019","n_code_links":1,"syntology":null},{"paper":"/paper/a-user-centric-benchmark-for-evaluating-large","slug":"a-user-centric-benchmark-for-evaluating-large","title":"A User-Centric Multi-Intent Benchmark for Evaluating Large Language Models","date":"2024-04-22","arxiv_id":"2404.13940","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":["alice1998/urs"],"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/deep-regression-representation-learning-with","slug":"deep-regression-representation-learning-with","title":"Deep Regression Representation Learning with Topology","date":"2024-04-22","arxiv_id":"2404.13904","n_code_links":1,"syntology":{"ran":9,"of":9,"n_ran_checked":7,"n_instrument":2,"unverified":0,"pointer_only":9,"phrase":"9 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; 2 where Syntology's instrument failed) · 0 unverified","official":{"repos":["needylove/ph-reg"],"state":"official (archive's flag): 9 ran","n_ran":9,"n_constructed":0,"n_ran_no_instrument_failure":7,"n_unverified":0,"ran_from_kinds":["official"]}}},{"paper":"/paper/detecting-and-mitigating-hallucination-in","slug":"detecting-and-mitigating-hallucination-in","title":"Detecting and Mitigating Hallucination in Large Vision Language Models via Fine-Grained AI Feedback","date":"2024-04-22","arxiv_id":"2404.14233","n_code_links":1,"syntology":{"ran":6,"of":8,"n_ran_checked":4,"n_instrument":2,"unverified":2,"pointer_only":8,"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":["Mr-Loevan/HSA-DPO"],"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":"hybrid-fusion-for-802-11ax-wi-fi-based","title":"Hybrid Fusion for 802.11ax Wi-Fi-based Passive Radars Exploiting Beamforming Feedbacks","date":"2024-04-22","arxiv_id":"2404.14269","n_code_links":0,"syntology":null},{"paper":"/paper/physics-based-reward-driven-image-analysis-in","slug":"physics-based-reward-driven-image-analysis-in","title":"Physics-based reward driven image analysis in microscopy","date":"2024-04-22","arxiv_id":"2404.14146","n_code_links":1,"syntology":null},{"paper":"/paper/protecting-your-llms-with-information","slug":"protecting-your-llms-with-information","title":"Protecting Your LLMs with Information Bottleneck","date":"2024-04-22","arxiv_id":"2404.13968","n_code_links":2,"syntology":{"ran":13,"of":25,"n_ran_checked":10,"n_instrument":3,"unverified":12,"pointer_only":9,"phrase":"13 ran (of which 0 constructed an object rather than computing a result; 10 with no instrument failure: 0 honoured, 0 violated, 10 with no contract checked; 3 where Syntology's instrument failed) · 12 unverified","official":{"repos":["zichuan-liu/ib4llms"],"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":["found_in_text","listed","official"]}}},{"paper":"/paper/self-supervised-alignment-with-mutual","slug":"self-supervised-alignment-with-mutual","title":"Self-Supervised Alignment with Mutual Information: Learning to Follow Principles without Preference Labels","date":"2024-04-22","arxiv_id":"2404.14313","n_code_links":1,"syntology":{"ran":2,"of":3,"n_ran_checked":1,"n_instrument":1,"unverified":1,"pointer_only":0,"phrase":"2 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; 1 where Syntology's instrument failed) · 1 unverified","official":{"repos":["janphilippfranken/sami"],"state":"official (archive's flag): 2 ran","n_ran":2,"n_constructed":0,"n_ran_no_instrument_failure":1,"n_unverified":1,"ran_from_kinds":["official"]}}},{"paper":"/paper/a-good-pun-is-its-own-reword-can-large","slug":"a-good-pun-is-its-own-reword-can-large","title":"\"A good pun is its own reword\": Can Large Language Models Understand Puns?","date":"2024-04-21","arxiv_id":"2404.13599","n_code_links":1,"syntology":null},{"paper":"/paper/ammunet-multi-scale-attention-map-merging-for","slug":"ammunet-multi-scale-attention-map-merging-for","title":"AMMUNet: Multi-Scale Attention Map Merging for Remote Sensing Image Segmentation","date":"2024-04-20","arxiv_id":"2404.13408","n_code_links":1,"syntology":null},{"paper":"/paper/movie101v2-improved-movie-narration-benchmark","slug":"movie101v2-improved-movie-narration-benchmark","title":"Movie101v2: Improved Movie Narration Benchmark","date":"2024-04-20","arxiv_id":"2404.13370","n_code_links":1,"syntology":null},{"paper":"/paper/transfer-learning-for-molecular-property","slug":"transfer-learning-for-molecular-property","title":"Transfer Learning for Molecular Property Predictions from Small Data Sets","date":"2024-04-20","arxiv_id":"2404.13393","n_code_links":1,"syntology":null},{"paper":null,"slug":"cabafl-asynchronous-federated-learning-via","title":"CaBaFL: Asynchronous Federated Learning via Hierarchical Cache and Feature Balance","date":"2024-04-19","arxiv_id":"2404.12850","n_code_links":0,"syntology":null},{"paper":null,"slug":"enhancing-counterfactual-explanation-search","title":"Enhancing Counterfactual Explanation Search with Diffusion Distance and Directional Coherence","date":"2024-04-19","arxiv_id":"2404.12810","n_code_links":0,"syntology":null},{"paper":null,"slug":"modeling-multi-granularity-context","title":"Modeling Multi-Granularity Context Information Flow for Pavement Crack Detection","date":"2024-04-19","arxiv_id":"2404.12702","n_code_links":0,"syntology":null},{"paper":"/paper/optimizing-calibration-by-gaining-aware-of","slug":"optimizing-calibration-by-gaining-aware-of","title":"Optimizing Calibration by Gaining Aware of Prediction Correctness","date":"2024-04-19","arxiv_id":"2404.13016","n_code_links":1,"syntology":{"ran":7,"of":7,"n_ran_checked":7,"n_instrument":0,"unverified":0,"pointer_only":7,"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":["liuyvchi/correctness-aware-calibration"],"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/zero-shot-medical-phrase-grounding-with-off","slug":"zero-shot-medical-phrase-grounding-with-off","title":"Zero-Shot Medical Phrase Grounding with Off-the-shelf Diffusion Models","date":"2024-04-19","arxiv_id":"2404.12920","n_code_links":1,"syntology":{"ran":7,"of":9,"n_ran_checked":7,"n_instrument":0,"unverified":2,"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) · 2 unverified","official":{"repos":["vios-s/ldm-phrase-grounding"],"state":"official (archive's flag): 7 ran","n_ran":7,"n_constructed":0,"n_ran_no_instrument_failure":7,"n_unverified":2,"ran_from_kinds":["official"]}}},{"paper":"/paper/aligning-actions-and-walking-to-llm-generated","slug":"aligning-actions-and-walking-to-llm-generated","title":"Aligning Actions and Walking to LLM-Generated Textual Descriptions","date":"2024-04-18","arxiv_id":"2404.12192","n_code_links":1,"syntology":null},{"paper":"/paper/aligning-language-models-to-explicitly-handle","slug":"aligning-language-models-to-explicitly-handle","title":"Aligning Language Models to Explicitly Handle Ambiguity","date":"2024-04-18","arxiv_id":"2404.11972","n_code_links":1,"syntology":{"ran":4,"of":4,"n_ran_checked":4,"n_instrument":0,"unverified":0,"pointer_only":4,"phrase":"4 ran (of which 0 constructed an object rather than computing a result; 4 with no instrument failure: 0 honoured, 0 violated, 4 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified","official":{"repos":["heyjoonkim/apa"],"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":null,"slug":"aniclipart-clipart-animation-with-text-to","title":"AniClipart: Clipart Animation with Text-to-Video Priors","date":"2024-04-18","arxiv_id":"2404.12347","n_code_links":0,"syntology":null},{"paper":null,"slug":"automated-similarity-metric-generation-for","title":"Automated Similarity Metric Generation for Recommendation","date":"2024-04-18","arxiv_id":"2404.11818","n_code_links":0,"syntology":null},{"paper":null,"slug":"bird-a-trustworthy-bayesian-inference","title":"BIRD: A Trustworthy Bayesian Inference Framework for Large Language Models","date":"2024-04-18","arxiv_id":"2404.12494","n_code_links":0,"syntology":null},{"paper":"/paper/openbezoar-small-cost-effective-and-open","slug":"openbezoar-small-cost-effective-and-open","title":"OpenBezoar: Small, Cost-Effective and Open Models Trained on Mixes of Instruction Data","date":"2024-04-18","arxiv_id":"2404.12195","n_code_links":1,"syntology":null},{"paper":"/paper/p-nal-an-effective-and-interpretable-entity","slug":"p-nal-an-effective-and-interpretable-entity","title":"NALA: an Effective and Interpretable Entity Alignment Method","date":"2024-04-18","arxiv_id":"2404.11968","n_code_links":1,"syntology":null},{"paper":"/paper/progressive-multi-modal-conditional-prompt","slug":"progressive-multi-modal-conditional-prompt","title":"Progressive Multi-modal Conditional Prompt Tuning","date":"2024-04-18","arxiv_id":"2404.11864","n_code_links":1,"syntology":null},{"paper":"/paper/seeing-motion-at-nighttime-with-an-event","slug":"seeing-motion-at-nighttime-with-an-event","title":"Seeing Motion at Nighttime with an Event Camera","date":"2024-04-18","arxiv_id":"2404.11884","n_code_links":1,"syntology":null},{"paper":"/paper/stylebooth-image-style-editing-with","slug":"stylebooth-image-style-editing-with","title":"StyleBooth: Image Style Editing with Multimodal Instruction","date":"2024-04-18","arxiv_id":"2404.12154","n_code_links":1,"syntology":null},{"paper":"/paper/token-level-direct-preference-optimization","slug":"token-level-direct-preference-optimization","title":"Token-level Direct Preference Optimization","date":"2024-04-18","arxiv_id":"2404.11999","n_code_links":1,"syntology":{"ran":5,"of":5,"n_ran_checked":3,"n_instrument":2,"unverified":0,"pointer_only":1,"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) · 0 unverified","official":{"repos":["vance0124/token-level-direct-preference-optimization"],"state":"official (archive's flag): 5 ran","n_ran":5,"n_constructed":0,"n_ran_no_instrument_failure":3,"n_unverified":0,"ran_from_kinds":["official"]}}},{"paper":null,"slug":"who-validates-the-validators-aligning-llm","title":"Who Validates the Validators? Aligning LLM-Assisted Evaluation of LLM Outputs with Human Preferences","date":"2024-04-18","arxiv_id":"2404.12272","n_code_links":0,"syntology":null},{"paper":"/paper/a-semantic-segmentation-guided-approach-for","slug":"a-semantic-segmentation-guided-approach-for","title":"A Semantic Segmentation-guided Approach for Ground-to-Aerial Image Matching","date":"2024-04-17","arxiv_id":"2404.11302","n_code_links":2,"syntology":null},{"paper":null,"slug":"drepmrec-a-dual-representation-learning","title":"DREAM: A Dual Representation Learning Model for Multimodal Recommendation","date":"2024-04-17","arxiv_id":"2404.11119","n_code_links":0,"syntology":null},{"paper":null,"slug":"explainable-machine-learning-system-for","title":"Explainable Machine Learning System for Predicting Chronic Kidney Disease in High-Risk Cardiovascular Patients","date":"2024-04-17","arxiv_id":"2404.11148","n_code_links":0,"syntology":null},{"paper":"/paper/fizz-factual-inconsistency-detection-by-zoom","slug":"fizz-factual-inconsistency-detection-by-zoom","title":"FIZZ: Factual Inconsistency Detection by Zoom-in Summary and Zoom-out Document","date":"2024-04-17","arxiv_id":"2404.11184","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 1 constructed an object rather than computing a result; 1 with no instrument failure: 0 honoured, 0 violated, 1 with no contract checked; 2 where Syntology's instrument failed) · 0 unverified","official":{"repos":["plm3332/fizz"],"state":"official (archive's flag): 3 ran","n_ran":3,"n_constructed":1,"n_ran_no_instrument_failure":1,"n_unverified":0,"ran_from_kinds":["official"]}}},{"paper":null,"slug":"geobind-binding-text-image-and-audio-through","title":"GEOBIND: Binding Text, Image, and Audio through Satellite Images","date":"2024-04-17","arxiv_id":"2404.11720","n_code_links":0,"syntology":null},{"paper":"/paper/tino-edit-timestep-and-noise-optimization-for","slug":"tino-edit-timestep-and-noise-optimization-for","title":"TiNO-Edit: Timestep and Noise Optimization for Robust Diffusion-Based Image Editing","date":"2024-04-17","arxiv_id":"2404.11120","n_code_links":1,"syntology":{"ran":8,"of":9,"n_ran_checked":8,"n_instrument":0,"unverified":1,"pointer_only":0,"phrase":"8 ran (of which 0 constructed an object rather than computing a result; 8 with no instrument failure: 0 honoured, 0 violated, 8 with no contract checked; 0 where Syntology's instrument failed) · 1 unverified","official":{"repos":["sherryxtchen/tino-edit"],"state":"official (archive's flag): 8 ran","n_ran":8,"n_constructed":0,"n_ran_no_instrument_failure":8,"n_unverified":1,"ran_from_kinds":["official"]}}},{"paper":"/paper/bootstrapping-linear-models-for-fast-online","slug":"bootstrapping-linear-models-for-fast-online","title":"Bootstrapping Linear Models for Fast Online Adaptation in Human-Agent Collaboration","date":"2024-04-16","arxiv_id":"2404.10733","n_code_links":1,"syntology":null},{"paper":"/paper/course-recommender-systems-need-to-consider","slug":"course-recommender-systems-need-to-consider","title":"Course Recommender Systems Need to Consider the Job Market","date":"2024-04-16","arxiv_id":"2404.10876","n_code_links":1,"syntology":null},{"paper":"/paper/domain-rectifying-adapter-for-cross-domain","slug":"domain-rectifying-adapter-for-cross-domain","title":"Domain-Rectifying Adapter for Cross-Domain Few-Shot Segmentation","date":"2024-04-16","arxiv_id":"2404.10322","n_code_links":1,"syntology":{"ran":0,"of":1,"n_ran_checked":0,"n_instrument":0,"unverified":1,"pointer_only":1,"phrase":"0 ran · 1 unverified","official":{"repos":["matt-su/dr-adapter"],"state":"official: harvested, nothing ran","n_ran":0,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":1,"ran_from_kinds":[]}}},{"paper":"/paper/is-dpo-superior-to-ppo-for-llm-alignment-a","slug":"is-dpo-superior-to-ppo-for-llm-alignment-a","title":"Is DPO Superior to PPO for LLM Alignment? A Comprehensive Study","date":"2024-04-16","arxiv_id":"2404.10719","n_code_links":1,"syntology":null},{"paper":"/paper/portrait3d-text-guided-high-quality-3d","slug":"portrait3d-text-guided-high-quality-3d","title":"Portrait3D: Text-Guided High-Quality 3D Portrait Generation Using Pyramid Representation and GANs Prior","date":"2024-04-16","arxiv_id":"2404.10394","n_code_links":1,"syntology":{"ran":3,"of":3,"n_ran_checked":2,"n_instrument":1,"unverified":0,"pointer_only":3,"phrase":"3 ran (of which 0 constructed an object rather than computing a result; 2 with no instrument failure: 2 honoured, 0 violated, 0 with no contract checked; 1 where Syntology's instrument failed) · 0 unverified","official":{"repos":["oneThousand1000/Portrait3D"],"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","unlocated"]}}},{"paper":"/paper/self-supervised-visual-preference-alignment","slug":"self-supervised-visual-preference-alignment","title":"Self-Supervised Visual Preference Alignment","date":"2024-04-16","arxiv_id":"2404.10501","n_code_links":1,"syntology":{"ran":10,"of":11,"n_ran_checked":6,"n_instrument":4,"unverified":1,"pointer_only":11,"phrase":"10 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; 4 where Syntology's instrument failed) · 1 unverified","official":{"repos":["Kevinz-code/SeVa"],"state":"official (archive's flag): 10 ran","n_ran":10,"n_constructed":0,"n_ran_no_instrument_failure":6,"n_unverified":1,"ran_from_kinds":["official"]}}},{"paper":null,"slug":"unveiling-the-misuse-potential-of-base-large","title":"Unveiling the Misuse Potential of Base Large Language Models via In-Context Learning","date":"2024-04-16","arxiv_id":"2404.10552","n_code_links":0,"syntology":null},{"paper":null,"slug":"white-men-lead-black-women-help-uncovering","title":"White Men Lead, Black Women Help? Benchmarking and Mitigating Language Agency Social Biases in LLMs","date":"2024-04-16","arxiv_id":"2404.10508","n_code_links":0,"syntology":null},{"paper":"/paper/aesexpert-towards-multi-modality-foundation","slug":"aesexpert-towards-multi-modality-foundation","title":"AesExpert: Towards Multi-modality Foundation Model for Image Aesthetics Perception","date":"2024-04-15","arxiv_id":"2404.09624","n_code_links":1,"syntology":null},{"paper":null,"slug":"learning-human-motion-from-monocular-videos","title":"Learning Human Motion from Monocular Videos via Cross-Modal Manifold Alignment","date":"2024-04-15","arxiv_id":"2404.09499","n_code_links":0,"syntology":null},{"paper":"/paper/progressive-knowledge-graph-completion","slug":"progressive-knowledge-graph-completion","title":"Progressive Knowledge Graph Completion","date":"2024-04-15","arxiv_id":"2404.09897","n_code_links":1,"syntology":null},{"paper":null,"slug":"randalign-a-parameter-free-method-for","title":"RandAlign: A Parameter-Free Method for Regularizing Graph Convolutional Networks","date":"2024-04-15","arxiv_id":"2404.09774","n_code_links":0,"syntology":null},{"paper":null,"slug":"real-world-instance-specific-image-goal","title":"Real-world Instance-specific Image Goal Navigation: Bridging Domain Gaps via Contrastive Learning","date":"2024-04-15","arxiv_id":"2404.09645","n_code_links":0,"syntology":null},{"paper":null,"slug":"uniaa-a-unified-multi-modal-image-aesthetic","title":"UNIAA: A Unified Multi-modal Image Aesthetic Assessment Baseline and Benchmark","date":"2024-04-15","arxiv_id":"2404.09619","n_code_links":0,"syntology":null},{"paper":null,"slug":"intellecta-cognitiva-a-comprehensive-dataset","title":"Intellecta Cognitiva: A Comprehensive Dataset for Advancing Academic Knowledge and Machine Reasoning","date":"2024-04-13","arxiv_id":"2404.13065","n_code_links":0,"syntology":null},{"paper":null,"slug":"voice-attribute-editing-with-text-prompt","title":"Voice Attribute Editing with Text Prompt","date":"2024-04-13","arxiv_id":"2404.08857","n_code_links":0,"syntology":null},{"paper":"/paper/controlnet-improving-conditional-controls","slug":"controlnet-improving-conditional-controls","title":"ControlNet++: Improving Conditional Controls with Efficient Consistency Feedback","date":"2024-04-11","arxiv_id":"2404.07987","n_code_links":1,"syntology":{"ran":6,"of":8,"n_ran_checked":5,"n_instrument":1,"unverified":2,"pointer_only":0,"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":{"repos":["liming-ai/ControlNet_Plus_Plus"],"state":"official (archive's flag): 6 ran","n_ran":6,"n_constructed":0,"n_ran_no_instrument_failure":5,"n_unverified":2,"ran_from_kinds":["official"]}}},{"paper":"/paper/language-imbalance-can-boost-cross-lingual","slug":"language-imbalance-can-boost-cross-lingual","title":"The Role of Language Imbalance in Cross-lingual Generalisation: Insights from Cloned Language Experiments","date":"2024-04-11","arxiv_id":"2404.07982","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":["antonschafer/xling-imbalance"],"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":null,"slug":"leveraging-large-language-models-llms-to-1","title":"Leveraging Large Language Models (LLMs) to Support Collaborative Human-AI Online Risk Data Annotation","date":"2024-04-11","arxiv_id":"2404.07926","n_code_links":0,"syntology":null}],"record_sha256":"f864806bf3fb81ea074f8f5f1646e8df3fffbeaa82c642ed4a338af9b4918745","record_changed_at":"2026-09-28","record_changed_at_basis":"first_hashed"}