{"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/38","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":38,"pages_in_order":56,"rows_per_page":100,"rows":[3701,3800],"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/37","next":"/method/align/papers/39","papers":[{"paper":null,"slug":"boosting-few-shot-segmentation-via-instance","title":"Boosting Few-Shot Segmentation via Instance-Aware Data Augmentation and Local Consensus Guided Cross Attention","date":"2024-01-18","arxiv_id":"2401.09866","n_code_links":0,"syntology":null},{"paper":"/paper/instance-brownian-bridge-as-texts-for-open","slug":"instance-brownian-bridge-as-texts-for-open","title":"Instance Brownian Bridge as Texts for Open-vocabulary Video Instance Segmentation","date":"2024-01-18","arxiv_id":"2401.09732","n_code_links":1,"syntology":null},{"paper":null,"slug":"the-synergy-between-optimal-transport-theory","title":"The Synergy Between Optimal Transport Theory and Multi-Agent Reinforcement Learning","date":"2024-01-18","arxiv_id":"2401.10949","n_code_links":0,"syntology":null},{"paper":null,"slug":"aligning-large-language-models-with","title":"Aligning Large Language Models with Counterfactual DPO","date":"2024-01-17","arxiv_id":"2401.09566","n_code_links":0,"syntology":null},{"paper":null,"slug":"attackeval-how-to-evaluate-the-effectiveness","title":"AttackEval: How to Evaluate the Effectiveness of Jailbreak Attacking on Large Language Models","date":"2024-01-17","arxiv_id":"2401.09002","n_code_links":0,"syntology":null},{"paper":null,"slug":"cfasl-composite-factor-aligned-symmetry","title":"CFASL: Composite Factor-Aligned Symmetry Learning for Disentanglement in Variational AutoEncoder","date":"2024-01-17","arxiv_id":"2401.08897","n_code_links":0,"syntology":null},{"paper":"/paper/continuous-piecewise-affine-based-motion","slug":"continuous-piecewise-affine-based-motion","title":"Continuous Piecewise-Affine Based Motion Model for Image Animation","date":"2024-01-17","arxiv_id":"2401.09146","n_code_links":1,"syntology":{"ran":7,"of":7,"n_ran_checked":4,"n_instrument":3,"unverified":0,"pointer_only":7,"phrase":"7 ran (of which 0 constructed an object rather than computing a result; 4 with no instrument failure: 1 honoured, 0 violated, 3 with no contract checked; 3 where Syntology's instrument failed) · 0 unverified","official":{"repos":["devilpg/aaai2024-cpabmm"],"state":"official (archive's flag): 7 ran","n_ran":7,"n_constructed":0,"n_ran_no_instrument_failure":4,"n_unverified":0,"ran_from_kinds":["official"]}}},{"paper":null,"slug":"federated-unlearning-for-human-activity","title":"Federated Unlearning for Human Activity Recognition","date":"2024-01-17","arxiv_id":"2404.03659","n_code_links":0,"syntology":null},{"paper":"/paper/fedloge-joint-local-and-generic-federated","slug":"fedloge-joint-local-and-generic-federated","title":"FedLoGe: Joint Local and Generic Federated Learning under Long-tailed Data","date":"2024-01-17","arxiv_id":"2401.08977","n_code_links":1,"syntology":{"ran":5,"of":8,"n_ran_checked":1,"n_instrument":4,"unverified":3,"pointer_only":8,"phrase":"5 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; 4 where Syntology's instrument failed) · 3 unverified","official":{"repos":["zackzikaixiao/fedloge"],"state":"official (archive's flag): 5 ran","n_ran":5,"n_constructed":1,"n_ran_no_instrument_failure":1,"n_unverified":2,"ran_from_kinds":["official"]}}},{"paper":null,"slug":"learning-to-generalize-over-subpartitions-for","title":"Learning to Generalize over Subpartitions for Heterogeneity-aware Domain Adaptive Nuclei Segmentation","date":"2024-01-17","arxiv_id":"2401.09496","n_code_links":0,"syntology":null},{"paper":null,"slug":"residual-alignment-uncovering-the-mechanisms-1","title":"Residual Alignment: Uncovering the Mechanisms of Residual Networks","date":"2024-01-17","arxiv_id":"2401.09018","n_code_links":0,"syntology":null},{"paper":null,"slug":"univg-towards-unified-modal-video-generation","title":"UniVG: Towards UNIfied-modal Video Generation","date":"2024-01-17","arxiv_id":"2401.09084","n_code_links":0,"syntology":null},{"paper":null,"slug":"3d-lane-detection-from-front-or-surround-view","title":"3D Lane Detection from Front or Surround-View using Joint-Modeling & Matching","date":"2024-01-16","arxiv_id":"2401.08036","n_code_links":0,"syntology":null},{"paper":null,"slug":"cppo-continual-learning-for-reinforcement","title":"CPPO: Continual Learning for Reinforcement Learning with Human Feedback","date":"2024-01-16","arxiv_id":null,"n_code_links":0,"syntology":null},{"paper":null,"slug":"dapt-a-dual-attention-framework-for-parameter","title":"SAPT: A Shared Attention Framework for Parameter-Efficient Continual Learning of Large Language Models","date":"2024-01-16","arxiv_id":"2401.08295","n_code_links":0,"syntology":null},{"paper":"/paper/generative-multi-modal-knowledge-retrieval","slug":"generative-multi-modal-knowledge-retrieval","title":"Generative Multi-Modal Knowledge Retrieval with Large Language Models","date":"2024-01-16","arxiv_id":"2401.08206","n_code_links":1,"syntology":null},{"paper":null,"slug":"improving-asr-contextual-biasing-with-guided","title":"Improving ASR Contextual Biasing with Guided Attention","date":"2024-01-16","arxiv_id":"2401.08835","n_code_links":0,"syntology":null},{"paper":"/paper/kadel-knowledge-aware-denoising-learning-for","slug":"kadel-knowledge-aware-denoising-learning-for","title":"KADEL: Knowledge-Aware Denoising Learning for Commit Message Generation","date":"2024-01-16","arxiv_id":"2401.08376","n_code_links":1,"syntology":null},{"paper":"/paper/the-devil-is-in-the-details-boosting-guided","slug":"the-devil-is-in-the-details-boosting-guided","title":"The Devil is in the Details: Boosting Guided Depth Super-Resolution via Rethinking Cross-Modal Alignment and Aggregation","date":"2024-01-16","arxiv_id":"2401.08123","n_code_links":1,"syntology":null},{"paper":null,"slug":"fusing-echocardiography-images-and-medical","title":"Fusing Echocardiography Images and Medical Records for Continuous Patient Stratification","date":"2024-01-15","arxiv_id":"2401.07796","n_code_links":0,"syntology":null},{"paper":"/paper/city-scene-super-resolution-via-geometric","slug":"city-scene-super-resolution-via-geometric","title":"City Scene Super-Resolution via Geometric Error Minimization","date":"2024-01-14","arxiv_id":"2401.07272","n_code_links":1,"syntology":null},{"paper":null,"slug":"drlc-reinforcement-learning-with-dense","title":"Beyond Sparse Rewards: Enhancing Reinforcement Learning with Language Model Critique in Text Generation","date":"2024-01-14","arxiv_id":"2401.07382","n_code_links":0,"syntology":null},{"paper":null,"slug":"generative-ai-in-eu-law-liability-privacy","title":"Generative AI in EU Law: Liability, Privacy, Intellectual Property, and Cybersecurity","date":"2024-01-14","arxiv_id":"2401.07348","n_code_links":0,"syntology":null},{"paper":null,"slug":"learning-to-be-homo-economicus-can-an-llm","title":"Learning to be Homo Economicus: Can an LLM Learn Preferences from Choice","date":"2024-01-14","arxiv_id":"2401.07345","n_code_links":0,"syntology":null},{"paper":null,"slug":"ented-enhanced-neural-texture-extraction-and","title":"ENTED: Enhanced Neural Texture Extraction and Distribution for Reference-based Blind Face Restoration","date":"2024-01-13","arxiv_id":"2401.06978","n_code_links":0,"syntology":null},{"paper":null,"slug":"a-brain-inspired-computational-model-for","title":"A Brain-inspired Computational Model for Human-like Concept Learning","date":"2024-01-12","arxiv_id":"2401.06471","n_code_links":0,"syntology":null},{"paper":null,"slug":"adversarial-examples-are-misaligned-in","title":"Adversarial Examples are Misaligned in Diffusion Model Manifolds","date":"2024-01-12","arxiv_id":"2401.06637","n_code_links":0,"syntology":null},{"paper":null,"slug":"data-efficient-interactive-multi-objective","title":"Data-Efficient Interactive Multi-Objective Optimization Using ParEGO","date":"2024-01-12","arxiv_id":"2401.06649","n_code_links":0,"syntology":null},{"paper":null,"slug":"don-t-rank-combine-combining-machine","title":"Don't Rank, Combine! Combining Machine Translation Hypotheses Using Quality Estimation","date":"2024-01-12","arxiv_id":"2401.06688","n_code_links":0,"syntology":null},{"paper":"/paper/mapo-advancing-multilingual-reasoning-through","slug":"mapo-advancing-multilingual-reasoning-through","title":"MAPO: Advancing Multilingual Reasoning through Multilingual Alignment-as-Preference Optimization","date":"2024-01-12","arxiv_id":"2401.06838","n_code_links":1,"syntology":{"ran":6,"of":10,"n_ran_checked":5,"n_instrument":1,"unverified":4,"pointer_only":10,"phrase":"6 ran (of which 0 constructed an object rather than computing a result; 5 with no instrument failure: 0 honoured, 0 violated, 5 with no contract checked; 1 where Syntology's instrument failed) · 4 unverified","official":{"repos":["njunlp/mapo"],"state":"official (archive's flag): 6 ran","n_ran":6,"n_constructed":0,"n_ran_no_instrument_failure":5,"n_unverified":4,"ran_from_kinds":["official"]}}},{"paper":"/paper/striking-a-balance-in-fairness-for-dynamic","slug":"striking-a-balance-in-fairness-for-dynamic","title":"Striking a Balance in Fairness for Dynamic Systems Through Reinforcement Learning","date":"2024-01-12","arxiv_id":"2401.06318","n_code_links":1,"syntology":null},{"paper":null,"slug":"attention-is-not-the-only-choice","title":"Attention Is Not the Only Choice: Counterfactual Reasoning for Path-Based Explainable Recommendation","date":"2024-01-11","arxiv_id":"2401.05744","n_code_links":0,"syntology":null},{"paper":null,"slug":"lingualchemy-fusing-typological-and","title":"LinguAlchemy: Fusing Typological and Geographical Elements for Unseen Language Generalization","date":"2024-01-11","arxiv_id":"2401.06034","n_code_links":0,"syntology":null},{"paper":"/paper/aligning-translation-specific-understanding","slug":"aligning-translation-specific-understanding","title":"Aligning Translation-Specific Understanding to General Understanding in Large Language Models","date":"2024-01-10","arxiv_id":"2401.05072","n_code_links":1,"syntology":null},{"paper":"/paper/d3gu-multi-target-active-domain-adaptation","slug":"d3gu-multi-target-active-domain-adaptation","title":"D3GU: Multi-Target Active Domain Adaptation via Enhancing Domain Alignment","date":"2024-01-10","arxiv_id":"2401.05465","n_code_links":1,"syntology":null},{"paper":"/paper/miss-a-generative-pretraining-and-finetuning","slug":"miss-a-generative-pretraining-and-finetuning","title":"MISS: A Generative Pretraining and Finetuning Approach for Med-VQA","date":"2024-01-10","arxiv_id":"2401.05163","n_code_links":1,"syntology":null},{"paper":null,"slug":"advancing-ante-hoc-explainable-models-through","title":"Advancing Ante-Hoc Explainable Models through Generative Adversarial Networks","date":"2024-01-09","arxiv_id":"2401.04647","n_code_links":0,"syntology":null},{"paper":null,"slug":"agent-alignment-in-evolving-social-norms","title":"Agent Alignment in Evolving Social Norms","date":"2024-01-09","arxiv_id":"2401.04620","n_code_links":0,"syntology":null},{"paper":null,"slug":"concept-alignment","title":"Concept Alignment","date":"2024-01-09","arxiv_id":"2401.08672","n_code_links":0,"syntology":null},{"paper":"/paper/deep-covariance-alignment-for-domain-adaptive","slug":"deep-covariance-alignment-for-domain-adaptive","title":"Deep Covariance Alignment for Domain Adaptive Remote Sensing Image Segmentation","date":"2024-01-09","arxiv_id":"2401.04412","n_code_links":1,"syntology":null},{"paper":null,"slug":"emogen-emotional-image-content-generation","title":"EmoGen: Emotional Image Content Generation with Text-to-Image Diffusion Models","date":"2024-01-09","arxiv_id":"2401.04608","n_code_links":0,"syntology":null},{"paper":"/paper/enhanced-distribution-alignment-for-post","slug":"enhanced-distribution-alignment-for-post","title":"EDA-DM: Enhanced Distribution Alignment for Post-Training Quantization of Diffusion Models","date":"2024-01-09","arxiv_id":"2401.04585","n_code_links":1,"syntology":{"ran":3,"of":3,"n_ran_checked":1,"n_instrument":2,"unverified":0,"pointer_only":3,"phrase":"3 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; 2 where Syntology's instrument failed) · 0 unverified","official":{"repos":["BienLuky/EDA-DM"],"state":"official (archive's flag): 1 ran","n_ran":1,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":0,"ran_from_kinds":["official","unlocated"]}}},{"paper":null,"slug":"efficient-multiscale-multimodal-bottleneck","title":"Efficient Multiscale Multimodal Bottleneck Transformer for Audio-Video Classification","date":"2024-01-08","arxiv_id":"2401.04023","n_code_links":0,"syntology":null},{"paper":"/paper/gpt-4v-ision-is-a-human-aligned-evaluator-for","slug":"gpt-4v-ision-is-a-human-aligned-evaluator-for","title":"GPT-4V(ision) is a Human-Aligned Evaluator for Text-to-3D Generation","date":"2024-01-08","arxiv_id":"2401.04092","n_code_links":1,"syntology":{"ran":2,"of":2,"n_ran_checked":0,"n_instrument":2,"unverified":0,"pointer_only":2,"phrase":"2 ran (of which 0 constructed an object rather than computing a result; 0 with no instrument failure: 0 honoured, 0 violated, 0 with no contract checked; 2 where Syntology's instrument failed) · 0 unverified","official":{"repos":["3DTopia/GPTEval3D"],"state":"official (archive's flag): 1 ran","n_ran":1,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":0,"ran_from_kinds":["official","unlocated"]}}},{"paper":null,"slug":"learning-racing-from-an-ai-coach-effects-of","title":"Effects of Multimodal Explanations for Autonomous Driving on Driving Performance, Cognitive Load, Expertise, Confidence, and Trust","date":"2024-01-08","arxiv_id":"2401.04206","n_code_links":0,"syntology":null},{"paper":"/paper/robofusion-towards-robust-multi-modal-3d","slug":"robofusion-towards-robust-multi-modal-3d","title":"RoboFusion: Towards Robust Multi-Modal 3D Object Detection via SAM","date":"2024-01-08","arxiv_id":"2401.03907","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, 0 violated, 1 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified","official":{"repos":["adept-thu/RoboFusion"],"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":null,"slug":"telechat-technical-report","title":"TeleChat Technical Report","date":"2024-01-08","arxiv_id":"2401.03804","n_code_links":0,"syntology":null},{"paper":null,"slug":"synhin-generating-synthetic-heterogeneous","title":"SynHING: Synthetic Heterogeneous Information Network Generation for Graph Learning and Explanation","date":"2024-01-07","arxiv_id":"2401.04133","n_code_links":0,"syntology":null},{"paper":"/paper/distribution-aware-interactive-attention","slug":"distribution-aware-interactive-attention","title":"Distribution-aware Interactive Attention Network and Large-scale Cloud Recognition Benchmark on FY-4A Satellite Image","date":"2024-01-06","arxiv_id":"2401.03182","n_code_links":1,"syntology":null},{"paper":null,"slug":"mirrordiffusion-stabilizing-diffusion-process","title":"MirrorDiffusion: Stabilizing Diffusion Process in Zero-shot Image Translation by Prompts Redescription and Beyond","date":"2024-01-06","arxiv_id":"2401.03221","n_code_links":0,"syntology":null},{"paper":null,"slug":"a-deep-q-learning-based-smart-scheduling-of","title":"A Deep Q-Learning based Smart Scheduling of EVs for Demand Response in Smart Grids","date":"2024-01-05","arxiv_id":"2401.02653","n_code_links":0,"syntology":null},{"paper":"/paper/generating-non-stationary-textures-using-self","slug":"generating-non-stationary-textures-using-self","title":"Generating Non-Stationary Textures using Self-Rectification","date":"2024-01-05","arxiv_id":"2401.02847","n_code_links":1,"syntology":null},{"paper":"/paper/pefomed-parameter-efficient-fine-tuning-on","slug":"pefomed-parameter-efficient-fine-tuning-on","title":"PeFoMed: Parameter Efficient Fine-tuning of Multimodal Large Language Models for Medical Imaging","date":"2024-01-05","arxiv_id":"2401.02797","n_code_links":1,"syntology":null},{"paper":"/paper/chartassisstant-a-universal-chart-multimodal","slug":"chartassisstant-a-universal-chart-multimodal","title":"ChartAssisstant: A Universal Chart Multimodal Language Model via Chart-to-Table Pre-training and Multitask Instruction Tuning","date":"2024-01-04","arxiv_id":"2401.02384","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":["opengvlab/chartast"],"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/mobileagent-enhancing-mobile-control-via","slug":"mobileagent-enhancing-mobile-control-via","title":"MobileAgent: enhancing mobile control via human-machine interaction and SOP integration","date":"2024-01-04","arxiv_id":"2401.04124","n_code_links":1,"syntology":null},{"paper":null,"slug":"multi-source-domain-adaptation-with-1","title":"Multi-Source Domain Adaptation with Transformer-based Feature Generation for Subject-Independent EEG-based Emotion Recognition","date":"2024-01-04","arxiv_id":"2401.02344","n_code_links":0,"syntology":null},{"paper":"/paper/tr-detr-task-reciprocal-transformer-for-joint","slug":"tr-detr-task-reciprocal-transformer-for-joint","title":"TR-DETR: Task-Reciprocal Transformer for Joint Moment Retrieval and Highlight Detection","date":"2024-01-04","arxiv_id":"2401.02309","n_code_links":1,"syntology":{"ran":13,"of":17,"n_ran_checked":12,"n_instrument":1,"unverified":4,"pointer_only":17,"phrase":"13 ran (of which 5 constructed an object rather than computing a result; 12 with no instrument failure: 1 honoured, 1 violated, 10 with no contract checked; 1 where Syntology's instrument failed) · 4 unverified","official":{"repos":["mingyao1120/tr-detr"],"state":"official (archive's flag): 13 ran","n_ran":13,"n_constructed":5,"n_ran_no_instrument_failure":12,"n_unverified":4,"ran_from_kinds":["official"]}}},{"paper":null,"slug":"two-stage-surrogate-modeling-for-data-driven","title":"Two-Stage Surrogate Modeling for Data-Driven Design Optimization with Application to Composite Microstructure Generation","date":"2024-01-04","arxiv_id":"2401.02008","n_code_links":0,"syntology":null},{"paper":null,"slug":"a-mathematical-study-of-the-interaction","title":"A mathematical study of the interaction between oxygen and lactate in an in-vivo and in-vitro tumor","date":"2024-01-03","arxiv_id":"2401.01742","n_code_links":0,"syntology":null},{"paper":null,"slug":"one-step-late-fusion-multi-view-clustering","title":"One-Step Late Fusion Multi-view Clustering with Compressed Subspace","date":"2024-01-03","arxiv_id":"2401.01558","n_code_links":0,"syntology":null},{"paper":"/paper/retraining-free-model-quantization-via-one","slug":"retraining-free-model-quantization-via-one","title":"Retraining-free Model Quantization via One-Shot Weight-Coupling Learning","date":"2024-01-03","arxiv_id":"2401.01543","n_code_links":1,"syntology":{"ran":1,"of":1,"n_ran_checked":1,"n_instrument":0,"unverified":0,"pointer_only":0,"phrase":"1 ran (of which 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":["1hunters/retraining-free-quantization"],"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":"social-media-ready-caption-generation-for","title":"Social Media Ready Caption Generation for Brands","date":"2024-01-03","arxiv_id":"2401.01637","n_code_links":0,"syntology":null},{"paper":"/paper/test-time-personalization-with-meta-prompt","slug":"test-time-personalization-with-meta-prompt","title":"Test-Time Personalization with Meta Prompt for Gaze Estimation","date":"2024-01-03","arxiv_id":"2401.01577","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":["hmarkamcan/tpgaze"],"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/a-comprehensive-survey-of-hallucination","slug":"a-comprehensive-survey-of-hallucination","title":"A Comprehensive Survey of Hallucination Mitigation Techniques in Large Language Models","date":"2024-01-02","arxiv_id":"2401.01313","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":null}},{"paper":null,"slug":"efficient-hybrid-zoom-using-camera-fusion-on","title":"Efficient Hybrid Zoom using Camera Fusion on Mobile Phones","date":"2024-01-02","arxiv_id":"2401.01461","n_code_links":0,"syntology":null},{"paper":null,"slug":"learning-based-agricultural-management-in","title":"Learning-based agricultural management in partially observable environments subject to climate variability","date":"2024-01-02","arxiv_id":"2401.01273","n_code_links":0,"syntology":null},{"paper":null,"slug":"relating-events-and-frames-based-on-self","title":"Relating Events and Frames Based on Self-Supervised Learning and Uncorrelated Conditioning for Unsupervised Domain Adaptation","date":"2024-01-02","arxiv_id":"2401.01042","n_code_links":0,"syntology":null},{"paper":"/paper/cakdp-category-aware-knowledge-distillation","slug":"cakdp-category-aware-knowledge-distillation","title":"CaKDP: Category-aware Knowledge Distillation and Pruning Framework for Lightweight 3D Object Detection","date":"2024-01-01","arxiv_id":null,"n_code_links":1,"syntology":null},{"paper":null,"slug":"check-locate-rectify-a-training-free-layout-1","title":"Check Locate Rectify: A Training-Free Layout Calibration System for Text-to-Image Generation","date":"2024-01-01","arxiv_id":null,"n_code_links":0,"syntology":null},{"paper":"/paper/clib-fiqa-face-image-quality-assessment-with","slug":"clib-fiqa-face-image-quality-assessment-with","title":"CLIB-FIQA: Face Image Quality Assessment with Confidence Calibration","date":"2024-01-01","arxiv_id":null,"n_code_links":1,"syntology":null},{"paper":null,"slug":"clip-driven-open-vocabulary-3d-scene-graph","title":"CLIP-Driven Open-Vocabulary 3D Scene Graph Generation via Cross-Modality Contrastive Learning","date":"2024-01-01","arxiv_id":null,"n_code_links":0,"syntology":null},{"paper":"/paper/deep-video-inverse-tone-mapping-based-on","slug":"deep-video-inverse-tone-mapping-based-on","title":"Deep Video Inverse Tone Mapping Based on Temporal Clues","date":"2024-01-01","arxiv_id":null,"n_code_links":1,"syntology":null},{"paper":null,"slug":"discovering-syntactic-interaction-clues-for","title":"Discovering Syntactic Interaction Clues for Human-Object Interaction Detection","date":"2024-01-01","arxiv_id":null,"n_code_links":0,"syntology":null},{"paper":null,"slug":"distilling-clip-with-dual-guidance-for","title":"Distilling CLIP with Dual Guidance for Learning Discriminative Human Body Shape Representation","date":"2024-01-01","arxiv_id":null,"n_code_links":0,"syntology":null},{"paper":null,"slug":"enhanced-motion-text-alignment-for-image-to","title":"Enhanced Motion-Text Alignment for Image-to-Video Transfer Learning","date":"2024-01-01","arxiv_id":null,"n_code_links":0,"syntology":null},{"paper":null,"slug":"fine-grained-prototypical-voting-with","title":"Fine-grained Prototypical Voting with Heterogeneous Mixup for Semi-supervised 2D-3D Cross-modal Retrieval","date":"2024-01-01","arxiv_id":null,"n_code_links":0,"syntology":null},{"paper":"/paper/fourier-priors-guided-diffusion-for-zero-shot","slug":"fourier-priors-guided-diffusion-for-zero-shot","title":"Fourier Priors-Guided Diffusion for Zero-Shot Joint Low-Light Enhancement and Deblurring","date":"2024-01-01","arxiv_id":null,"n_code_links":1,"syntology":null},{"paper":null,"slug":"generative-latent-coding-for-ultra-low","title":"Generative Latent Coding for Ultra-Low Bitrate Image Compression","date":"2024-01-01","arxiv_id":null,"n_code_links":0,"syntology":null},{"paper":null,"slug":"hierarchical-intra-modal-correlation-learning","title":"Hierarchical Intra-modal Correlation Learning for Label-free 3D Semantic Segmentation","date":"2024-01-01","arxiv_id":null,"n_code_links":0,"syntology":null},{"paper":null,"slug":"lead-exploring-logit-space-evolution-for","title":"LEAD: Exploring Logit Space Evolution for Model Selection","date":"2024-01-01","arxiv_id":null,"n_code_links":0,"syntology":null},{"paper":"/paper/m3-uda-a-new-benchmark-for-unsupervised","slug":"m3-uda-a-new-benchmark-for-unsupervised","title":"M3-UDA: A New Benchmark for Unsupervised Domain Adaptive Fetal Cardiac Structure Detection","date":"2024-01-01","arxiv_id":null,"n_code_links":1,"syntology":null},{"paper":null,"slug":"mask4align-aligned-entity-prompting-with","title":"Mask4Align: Aligned Entity Prompting with Color Masks for Multi-Entity Localization Problems","date":"2024-01-01","arxiv_id":null,"n_code_links":0,"syntology":null},{"paper":"/paper/multi-attribute-interactions-matter-for-3d","slug":"multi-attribute-interactions-matter-for-3d","title":"Multi-Attribute Interactions Matter for 3D Visual Grounding","date":"2024-01-01","arxiv_id":null,"n_code_links":1,"syntology":null},{"paper":null,"slug":"napguard-towards-detecting-naturalistic","title":"NAPGuard: Towards Detecting Naturalistic Adversarial Patches","date":"2024-01-01","arxiv_id":null,"n_code_links":0,"syntology":null},{"paper":null,"slug":"prompt-iml-image-manipulation-localization","title":"PROMPT-IML: Image Manipulation Localization with Pre-trained Foundation Models Through Prompt Tuning","date":"2024-01-01","arxiv_id":"2401.00653","n_code_links":0,"syntology":null},{"paper":null,"slug":"ram-avatar-real-time-photo-realistic-avatar","title":"RAM-Avatar: Real-time Photo-Realistic Avatar from Monocular Videos with Full-body Control","date":"2024-01-01","arxiv_id":null,"n_code_links":0,"syntology":null},{"paper":null,"slug":"relational-matching-for-weakly-semi","title":"Relational Matching for Weakly Semi-Supervised Oriented Object Detection","date":"2024-01-01","arxiv_id":null,"n_code_links":0,"syntology":null},{"paper":null,"slug":"robust-distillation-via-untargeted-and","title":"Robust Distillation via Untargeted and Targeted Intermediate Adversarial Samples","date":"2024-01-01","arxiv_id":null,"n_code_links":0,"syntology":null},{"paper":null,"slug":"scene-adaptive-and-region-aware-multi-modal","title":"Scene-adaptive and Region-aware Multi-modal Prompt for Open Vocabulary Object Detection","date":"2024-01-01","arxiv_id":null,"n_code_links":0,"syntology":null},{"paper":null,"slug":"scorehypo-probabilistic-human-mesh-estimation","title":"ScoreHypo: Probabilistic Human Mesh Estimation with Hypothesis Scoring","date":"2024-01-01","arxiv_id":null,"n_code_links":0,"syntology":null},{"paper":null,"slug":"seas-shape-aligned-supervision-for-person-re","title":"SEAS: ShapE-Aligned Supervision for Person Re-Identification","date":"2024-01-01","arxiv_id":null,"n_code_links":0,"syntology":null},{"paper":null,"slug":"semantics-distortion-and-style-matter-towards-1","title":"Semantics Distortion and Style Matter: Towards Source-free UDA for Panoramic Segmentation","date":"2024-01-01","arxiv_id":null,"n_code_links":0,"syntology":null},{"paper":"/paper/targeted-representation-alignment-for-open","slug":"targeted-representation-alignment-for-open","title":"Targeted Representation Alignment for Open-World Semi-Supervised Learning","date":"2024-01-01","arxiv_id":null,"n_code_links":1,"syntology":null},{"paper":"/paper/uncovering-what-why-and-how-a-comprehensive-1","slug":"uncovering-what-why-and-how-a-comprehensive-1","title":"Uncovering What Why and How: A Comprehensive Benchmark for Causation Understanding of Video Anomaly","date":"2024-01-01","arxiv_id":null,"n_code_links":1,"syntology":null},{"paper":"/paper/video-harmonization-with-triplet-spatio","slug":"video-harmonization-with-triplet-spatio","title":"Video Harmonization with Triplet Spatio-Temporal Variation Patterns","date":"2024-01-01","arxiv_id":null,"n_code_links":1,"syntology":null},{"paper":null,"slug":"view-category-interactive-sharing-transformer","title":"View-Category Interactive Sharing Transformer for Incomplete Multi-View Multi-Label Learning","date":"2024-01-01","arxiv_id":null,"n_code_links":0,"syntology":null},{"paper":"/paper/client-wise-modality-selection-for-balanced","slug":"client-wise-modality-selection-for-balanced","title":"Overcome Modal Bias in Multi-modal Federated Learning via Balanced Modality Selection","date":"2023-12-31","arxiv_id":"2401.00403","n_code_links":1,"syntology":null},{"paper":null,"slug":"exploring-the-effectiveness-of-instruction","title":"Exploring the Effectiveness of Instruction Tuning in Biomedical Language Processing","date":"2023-12-31","arxiv_id":"2401.00579","n_code_links":0,"syntology":null},{"paper":"/paper/sdif-da-a-shallow-to-deep-interaction","slug":"sdif-da-a-shallow-to-deep-interaction","title":"SDIF-DA: A Shallow-to-Deep Interaction Framework with Data Augmentation for Multi-modal Intent Detection","date":"2023-12-31","arxiv_id":"2401.00424","n_code_links":1,"syntology":null},{"paper":"/paper/comma-co-articulated-multi-modal-learning","slug":"comma-co-articulated-multi-modal-learning","title":"COMMA: Co-Articulated Multi-Modal Learning","date":"2023-12-30","arxiv_id":"2401.00268","n_code_links":1,"syntology":null}],"record_sha256":"9e99cbdfd5fb9f6a6a0e533fcb29f4f30f09929997d8f6adea0fe466309e869f","record_changed_at":"2026-09-28","record_changed_at_basis":"first_hashed"}