{"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":"/task/diversity/papers/40","list_of":"/task/diversity","task":"Diversity","archive":{"snapshot":"2025-07-28"},"key_notes":{"n_ran_checked":"legacy name, kept unchanged so existing readers do not break: it counts the samples that ran with no instrument failure (honoured, violated, and ran with no contract checked); it does not mean a contract was checked, and the pages print it as 'K with no instrument failure', not 'K checked'","n_constructed":"a sub-count of the samples that ran, never subtracted from them and never a failure: an executed sample whose run returned an instance of its own class (fixture_out_type equals the entry name): the run built an object and did not compute a result (Syntology's RAN record, counts.constructed)"},"syntology_read_at":"2026-09-28T10:30:06+00:00","order":"archive","order_definition":"repositories listed in the archive (most first), then date (newest first), then slug","page":40,"pages_in_order":91,"rows_per_page":100,"rows":[3901,4000],"of":9051,"counts":{"archive_papers_tagged":9051,"with_a_code_link":3166,"where_syntology_ran_a_sample":890,"not_listed_spam_title":0,"listed":9051,"listed_where_code_ran":890,"where_syntology_ran_a_sample_split":{"with_a_run_with_no_instrument_failure":736,"every_run_a_failure_of_syntologys_instrument":154,"listed_with_a_run_with_no_instrument_failure":736,"listed_every_run_a_failure_of_syntologys_instrument":154,"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":"/task/diversity","prev":"/task/diversity/papers/39","next":"/task/diversity/papers/41","papers":[{"url":null,"slug":"dipper-diversity-in-prompts-for-producing","title":"Dipper: Diversity in Prompts for Producing Large Language Model Ensembles in Reasoning tasks","date":"2024-12-12","arxiv_id":"2412.15238","repositories_listed":0,"syntology":null},{"url":"/paper/first-train-to-generate-then-generate-to","slug":"first-train-to-generate-then-generate-to","title":"First Train to Generate, then Generate to Train: UnitedSynT5 for Few-Shot NLI","date":"2024-12-12","arxiv_id":"2412.09263","repositories_listed":0,"syntology":null},{"url":null,"slug":"learning-camera-movement-control-from-real","title":"Learning Camera Movement Control from Real-World Drone Videos","date":"2024-12-12","arxiv_id":"2412.09620","repositories_listed":0,"syntology":null},{"url":null,"slug":"storm-a-spatio-temporal-factor-model-based-on","title":"STORM: A Spatio-Temporal Factor Model Based on Dual Vector Quantized Variational Autoencoders for Financial Trading","date":"2024-12-12","arxiv_id":"2412.09468","repositories_listed":0,"syntology":null},{"url":null,"slug":"diversity-drives-fairness-ensemble-of-higher","title":"Diversity Drives Fairness: Ensemble of Higher Order Mutants for Intersectional Fairness of Machine Learning Software","date":"2024-12-11","arxiv_id":"2412.08167","repositories_listed":0,"syntology":null},{"url":null,"slug":"machine-learning-information-retrieval-and","title":"Machine Learning Information Retrieval and Summarisation to Support Systematic Review on Outcomes Based Contracting","date":"2024-12-11","arxiv_id":"2412.08578","repositories_listed":0,"syntology":null},{"url":null,"slug":"multi-perspective-alignment-for-increasing","title":"Multi-perspective Alignment for Increasing Naturalness in Neural Machine Translation","date":"2024-12-11","arxiv_id":"2412.08473","repositories_listed":0,"syntology":null},{"url":null,"slug":"roomtour3d-geometry-aware-video-instruction","title":"RoomTour3D: Geometry-Aware Video-Instruction Tuning for Embodied Navigation","date":"2024-12-11","arxiv_id":"2412.08591","repositories_listed":0,"syntology":null},{"url":null,"slug":"surveying-facial-recognition-models-for","title":"Surveying Facial Recognition Models for Diverse Indian Demographics: A Comparative Analysis on LFW and Custom Dataset","date":"2024-12-11","arxiv_id":"2412.08048","repositories_listed":0,"syntology":null},{"url":null,"slug":"towards-precision-in-bolted-joint-design-a","title":"Towards Precision in Bolted Joint Design: A Preliminary Machine Learning-Based Parameter Prediction","date":"2024-12-11","arxiv_id":"2412.08286","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-dynamical-systems-inspired-pruning-strategy","title":"A Dynamical Systems-Inspired Pruning Strategy for Addressing Oversmoothing in Graph Neural Networks","date":"2024-12-10","arxiv_id":"2412.07243","repositories_listed":0,"syntology":null},{"url":null,"slug":"cadspotting-robust-panoptic-symbol-spotting","title":"CADSpotting: Robust Panoptic Symbol Spotting on Large-Scale CAD Drawings","date":"2024-12-10","arxiv_id":"2412.07377","repositories_listed":0,"syntology":null},{"url":null,"slug":"efficient-diversity-preserving-diffusion","title":"Efficient Diversity-Preserving Diffusion Alignment via Gradient-Informed GFlowNets","date":"2024-12-10","arxiv_id":"2412.07775","repositories_listed":0,"syntology":null},{"url":null,"slug":"logen-toward-lidar-object-generation-by-point","title":"LOGen: Toward Lidar Object Generation by Point Diffusion","date":"2024-12-10","arxiv_id":"2412.07385","repositories_listed":0,"syntology":null},{"url":null,"slug":"mit-10m-a-large-scale-parallel-corpus-of","title":"MIT-10M: A Large Scale Parallel Corpus of Multilingual Image Translation","date":"2024-12-10","arxiv_id":"2412.07147","repositories_listed":0,"syntology":null},{"url":null,"slug":"aide-task-specific-fine-tuning-with-attribute","title":"AIDE: Task-Specific Fine Tuning with Attribute Guided Multi-Hop Data Expansion","date":"2024-12-09","arxiv_id":"2412.06136","repositories_listed":0,"syntology":null},{"url":null,"slug":"conden-fi-consistency-and-diversity-learning","title":"CONDEN-FI: Consistency and Diversity Learning-based Multi-View Unsupervised Feature and In-stance Co-Selection","date":"2024-12-09","arxiv_id":"2412.06568","repositories_listed":0,"syntology":null},{"url":null,"slug":"data-quality-enhancement-on-the-basis-of","title":"Data Quality Enhancement on the Basis of Diversity with Large Language Models for Text Classification: Uncovered, Difficult, and Noisy","date":"2024-12-09","arxiv_id":"2412.06575","repositories_listed":0,"syntology":null},{"url":null,"slug":"diffusing-differentiable-representations","title":"Diffusing Differentiable Representations","date":"2024-12-09","arxiv_id":"2412.06981","repositories_listed":0,"syntology":null},{"url":null,"slug":"diverse-score-distillation","title":"Diverse Score Distillation","date":"2024-12-09","arxiv_id":"2412.06780","repositories_listed":0,"syntology":null},{"url":null,"slug":"exploring-critical-testing-scenarios-for","title":"Exploring Critical Testing Scenarios for Decision-Making Policies: An LLM Approach","date":"2024-12-09","arxiv_id":"2412.06684","repositories_listed":0,"syntology":null},{"url":null,"slug":"ppt-pre-training-with-pseudo-labeled","title":"PPT: Pretraining with Pseudo-Labeled Trajectories for Motion Forecasting","date":"2024-12-09","arxiv_id":"2412.06491","repositories_listed":0,"syntology":null},{"url":null,"slug":"reconfigurable-holographic-surface-aided-1","title":"Reconfigurable Holographic Surface-aided Distributed MIMO Radar Systems","date":"2024-12-09","arxiv_id":"2412.06279","repositories_listed":0,"syntology":null},{"url":null,"slug":"variface-fair-and-diverse-synthetic-dataset","title":"VariFace: Fair and Diverse Synthetic Dataset Generation for Face Recognition","date":"2024-12-09","arxiv_id":"2412.06235","repositories_listed":0,"syntology":null},{"url":null,"slug":"does-rlhf-scale-exploring-the-impacts-from","title":"Does RLHF Scale? Exploring the Impacts From Data, Model, and Method","date":"2024-12-08","arxiv_id":"2412.06000","repositories_listed":0,"syntology":null},{"url":null,"slug":"measuring-grammatical-diversity-from-small","title":"Measuring Grammatical Diversity from Small Corpora: Derivational Entropy Rates, Mean Length of Utterances, and Annotation Invariance","date":"2024-12-08","arxiv_id":"2412.06095","repositories_listed":0,"syntology":null},{"url":null,"slug":"silmm-self-improving-large-multimodal-models","title":"SILMM: Self-Improving Large Multimodal Models for Compositional Text-to-Image Generation","date":"2024-12-08","arxiv_id":"2412.05818","repositories_listed":0,"syntology":null},{"url":null,"slug":"computational-models-of-learning-and-synaptic","title":"Computational models of learning and synaptic plasticity","date":"2024-12-07","arxiv_id":"2412.05501","repositories_listed":0,"syntology":null},{"url":null,"slug":"promptrefine-enhancing-few-shot-performance","title":"PromptRefine: Enhancing Few-Shot Performance on Low-Resource Indic Languages with Example Selection from Related Example Banks","date":"2024-12-07","arxiv_id":"2412.05710","repositories_listed":0,"syntology":null},{"url":null,"slug":"wavfusion-towards-wav2vec-2-0-multimodal","title":"WavFusion: Towards wav2vec 2.0 Multimodal Speech Emotion Recognition","date":"2024-12-07","arxiv_id":"2412.05558","repositories_listed":0,"syntology":null},{"url":null,"slug":"7-tesla-multimodal-mri-dataset-of-ex-vivo","title":"7 Tesla multimodal MRI dataset of ex-vivo human brain","date":"2024-12-06","arxiv_id":"2412.17816","repositories_listed":0,"syntology":null},{"url":null,"slug":"approaches-to-studying-virus-pangenome","title":"Approaches to studying virus pangenome variation graphs","date":"2024-12-06","arxiv_id":"2412.05096","repositories_listed":0,"syntology":null},{"url":null,"slug":"bimart-a-unified-approach-for-the-synthesis","title":"BimArt: A Unified Approach for the Synthesis of 3D Bimanual Interaction with Articulated Objects","date":"2024-12-06","arxiv_id":"2412.05066","repositories_listed":0,"syntology":null},{"url":null,"slug":"cross-feeding-creates-tipping-points-in","title":"Cross-feeding Creates Tipping Points in Microbiome Diversity","date":"2024-12-06","arxiv_id":"2412.05212","repositories_listed":0,"syntology":null},{"url":null,"slug":"diversity-over-quantity-a-lesson-from-few","title":"Diversity Over Quantity: A Lesson From Few Shot Relation Classification","date":"2024-12-06","arxiv_id":"2412.05434","repositories_listed":0,"syntology":null},{"url":null,"slug":"neuro-symbolic-data-generation-for-math","title":"Neuro-Symbolic Data Generation for Math Reasoning","date":"2024-12-06","arxiv_id":"2412.04857","repositories_listed":0,"syntology":null},{"url":null,"slug":"artificial-intelligence-and-the-internal","title":"Artificial intelligence and the internal processes of creativity","date":"2024-12-05","arxiv_id":"2412.04366","repositories_listed":0,"syntology":null},{"url":null,"slug":"demonstration-selection-for-in-context","title":"Demonstration Selection for In-Context Learning via Reinforcement Learning","date":"2024-12-05","arxiv_id":"2412.03966","repositories_listed":0,"syntology":null},{"url":null,"slug":"exploring-transformer-based-music","title":"Exploring Transformer-Based Music Overpainting for Jazz Piano Variations","date":"2024-12-05","arxiv_id":"2412.04610","repositories_listed":0,"syntology":null},{"url":null,"slug":"gigahands-a-massive-annotated-dataset-of","title":"GigaHands: A Massive Annotated Dataset of Bimanual Hand Activities","date":"2024-12-05","arxiv_id":"2412.04244","repositories_listed":0,"syntology":null},{"url":null,"slug":"information-geometry-for-maximum-diversity","title":"Information Geometry for Maximum Diversity Distributions","date":"2024-12-05","arxiv_id":"2412.03835","repositories_listed":0,"syntology":null},{"url":null,"slug":"lmdm-latent-molecular-diffusion-model-for-3d","title":"LMDM:Latent Molecular Diffusion Model For 3D Molecule Generation","date":"2024-12-05","arxiv_id":"2412.04242","repositories_listed":0,"syntology":null},{"url":null,"slug":"multisource-collaborative-domain","title":"Multisource Collaborative Domain Generalization for Cross-Scene Remote Sensing Image Classification","date":"2024-12-05","arxiv_id":"2412.03897","repositories_listed":0,"syntology":null},{"url":null,"slug":"rmd-a-simple-baseline-for-more-general-human","title":"RMD: A Simple Baseline for More General Human Motion Generation via Training-free Retrieval-Augmented Motion Diffuse","date":"2024-12-05","arxiv_id":"2412.04343","repositories_listed":0,"syntology":null},{"url":null,"slug":"sometimes-i-am-a-tree-data-drives-unstable","title":"Sometimes I am a Tree: Data Drives Unstable Hierarchical Generalization","date":"2024-12-05","arxiv_id":"2412.04619","repositories_listed":0,"syntology":null},{"url":null,"slug":"few-shot-learning-with-adaptive-weight","title":"Few-Shot Learning with Adaptive Weight Masking in Conditional GANs","date":"2024-12-04","arxiv_id":"2412.03105","repositories_listed":0,"syntology":null},{"url":null,"slug":"ldpc-coded-molecular-communications-with","title":"LDPC-Coded Molecular Communications with Increased Diversity","date":"2024-12-04","arxiv_id":"2412.03684","repositories_listed":0,"syntology":null},{"url":null,"slug":"surveying-the-effects-of-quality-diversity","title":"Surveying the Effects of Quality, Diversity, and Complexity in Synthetic Data From Large Language Models","date":"2024-12-04","arxiv_id":"2412.02980","repositories_listed":0,"syntology":null},{"url":null,"slug":"the-role-of-text-to-image-models-in-advanced","title":"The Role of Text-to-Image Models in Advanced Style Transfer Applications: A Case Study with DALL-E 3","date":"2024-12-04","arxiv_id":"2412.05325","repositories_listed":0,"syntology":null},{"url":null,"slug":"user-movement-robust-virtual-reality-through","title":"User-Movement-Robust Virtual Reality Through Dual-Beam Reception in mmWave Networks","date":"2024-12-04","arxiv_id":"2412.03364","repositories_listed":0,"syntology":null},{"url":null,"slug":"cadmr-cross-attention-and-disentangled","title":"CADMR: Cross-Attention and Disentangled Learning for Multimodal Recommender Systems","date":"2024-12-03","arxiv_id":"2412.02295","repositories_listed":0,"syntology":null},{"url":null,"slug":"communicate-or-sense-ap-mode-selection-in","title":"Communicate or Sense? AP Mode Selection in mmWave Cell-Free Massive MIMO-ISAC","date":"2024-12-03","arxiv_id":"2412.02649","repositories_listed":0,"syntology":null},{"url":null,"slug":"construction-and-optimization-of-health","title":"Construction and optimization of health behavior prediction model for the elderly in smart elderly care","date":"2024-12-03","arxiv_id":"2412.02062","repositories_listed":0,"syntology":null},{"url":null,"slug":"cubeformer-a-simple-yet-effective-baseline","title":"CubeFormer: A Simple yet Effective Baseline for Lightweight Image Super-Resolution","date":"2024-12-03","arxiv_id":"2412.02234","repositories_listed":0,"syntology":null},{"url":null,"slug":"sample-efficient-robot-learning-in-supervised","title":"Sample Efficient Robot Learning in Supervised Effect Prediction Tasks","date":"2024-12-03","arxiv_id":"2412.02331","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-new-flower-pollination-algorithm-for","title":"A new flower pollination algorithm for equalization in synchronous DS/CDMA multiuser communication systems","date":"2024-12-02","arxiv_id":"2412.02023","repositories_listed":0,"syntology":null},{"url":null,"slug":"infinitydrive-breaking-time-limits-in-driving","title":"InfinityDrive: Breaking Time Limits in Driving World Models","date":"2024-12-02","arxiv_id":"2412.01522","repositories_listed":0,"syntology":null},{"url":null,"slug":"long-video-diffusion-generation-with","title":"Long Video Diffusion Generation with Segmented Cross-Attention and Content-Rich Video Data Curation","date":"2024-12-02","arxiv_id":"2412.01316","repositories_listed":0,"syntology":null},{"url":null,"slug":"rectified-flow-for-structure-based-drug","title":"Rectified Flow For Structure Based Drug Design","date":"2024-12-02","arxiv_id":"2412.01174","repositories_listed":0,"syntology":null},{"url":null,"slug":"seal-semantic-attention-learning-for-long","title":"SEAL: Semantic Attention Learning for Long Video Representation","date":"2024-12-02","arxiv_id":"2412.01798","repositories_listed":0,"syntology":null},{"url":null,"slug":"semantic-scene-completion-with-multi-feature","title":"Semantic Scene Completion with Multi-Feature Data Balancing Network","date":"2024-12-02","arxiv_id":"2412.01431","repositories_listed":0,"syntology":null},{"url":null,"slug":"stochastic-modeling-of-cyclic-cancer","title":"Stochastic modeling of cyclic cancer treatments under common noise","date":"2024-12-02","arxiv_id":"2412.13201","repositories_listed":0,"syntology":null},{"url":null,"slug":"unleashing-in-context-learning-of","title":"Unleashing In-context Learning of Autoregressive Models for Few-shot Image Manipulation","date":"2024-12-02","arxiv_id":"2412.01027","repositories_listed":0,"syntology":null},{"url":null,"slug":"capa-continuous-aperture-arrays-for","title":"CAPA: Continuous-Aperture Arrays for Revolutionizing 6G Wireless Communications","date":"2024-12-01","arxiv_id":"2412.00894","repositories_listed":0,"syntology":null},{"url":null,"slug":"dpe-net-dual-parallel-encoder-based-network","title":"DPE-Net: Dual-Parallel Encoder Based Network for Semantic Segmentation of Polyps","date":"2024-12-01","arxiv_id":"2412.00888","repositories_listed":0,"syntology":null},{"url":null,"slug":"prompt-as-free-lunch-enhancing-diversity-in","title":"Prompt as Free Lunch: Enhancing Diversity in Source-Free Cross-domain Few-shot Learning through Semantic-Guided Prompting","date":"2024-12-01","arxiv_id":"2412.00767","repositories_listed":0,"syntology":null},{"url":null,"slug":"opportunities-and-challenges-of-large","title":"Opportunities and Challenges of Large Language Models for Low-Resource Languages in Humanities Research","date":"2024-11-30","arxiv_id":"2412.04497","repositories_listed":0,"syntology":null},{"url":null,"slug":"clinical-document-corpora-and-assorted-domain","title":"Clinical Document Corpora and Assorted Domain Proxies: A Survey of Diversity in Corpus Design, with Focus on German Text Data","date":"2024-11-29","arxiv_id":"2412.00230","repositories_listed":0,"syntology":null},{"url":null,"slug":"improving-the-performance-of-weak-supervision-1","title":"Improving the performance of weak supervision searches using data augmentation","date":"2024-11-29","arxiv_id":"2412.00198","repositories_listed":0,"syntology":null},{"url":null,"slug":"motion-modes-what-could-happen-next","title":"Motion Modes: What Could Happen Next?","date":"2024-11-29","arxiv_id":"2412.00148","repositories_listed":0,"syntology":null},{"url":null,"slug":"on-domain-specific-post-training-for","title":"On Domain-Specific Post-Training for Multimodal Large Language Models","date":"2024-11-29","arxiv_id":"2411.19930","repositories_listed":0,"syntology":null},{"url":null,"slug":"retrieval-guided-cross-view-image-synthesis","title":"Retrieval-guided Cross-view Image Synthesis","date":"2024-11-29","arxiv_id":"2411.19510","repositories_listed":0,"syntology":null},{"url":null,"slug":"the-role-of-inhibitory-neuronal-variability","title":"The role of inhibitory neuronal variability in modulating phase diversity between coupled networks","date":"2024-11-29","arxiv_id":"2411.19664","repositories_listed":0,"syntology":null},{"url":null,"slug":"dreamblend-advancing-personalized-fine-tuning","title":"DreamBlend: Advancing Personalized Fine-tuning of Text-to-Image Diffusion Models","date":"2024-11-28","arxiv_id":"2411.19390","repositories_listed":0,"syntology":null},{"url":null,"slug":"l-a-benchmark-for-data-efficiency-in-long","title":"λ: A Benchmark for Data-Efficiency in Long-Horizon Indoor Mobile Manipulation Robotics","date":"2024-11-28","arxiv_id":"2412.05313","repositories_listed":0,"syntology":null},{"url":null,"slug":"differential-learning-kinetics-govern-the","title":"Differential learning kinetics govern the transition from memorization to generalization during in-context learning","date":"2024-11-27","arxiv_id":"2412.00104","repositories_listed":0,"syntology":null},{"url":null,"slug":"diffusion-autoencoders-for-few-shot-image","title":"Diffusion Autoencoders for Few-shot Image Generation in Hyperbolic Space","date":"2024-11-27","arxiv_id":"2411.17784","repositories_listed":0,"syntology":null},{"url":null,"slug":"enhancing-weed-detection-performance-by-means","title":"Enhancing weed detection performance by means of GenAI-based image augmentation","date":"2024-11-27","arxiv_id":"2411.18513","repositories_listed":0,"syntology":null},{"url":null,"slug":"spatiotemporal-skip-guidance-for-enhanced","title":"Spatiotemporal Skip Guidance for Enhanced Video Diffusion Sampling","date":"2024-11-27","arxiv_id":"2411.18664","repositories_listed":0,"syntology":null},{"url":null,"slug":"diffslt-enhancing-diversity-in-sign-language","title":"DiffSLT: Enhancing Diversity in Sign Language Translation via Diffusion Model","date":"2024-11-26","arxiv_id":"2411.17248","repositories_listed":0,"syntology":null},{"url":null,"slug":"large-scale-data-free-knowledge-distillation","title":"Large-Scale Data-Free Knowledge Distillation for ImageNet via Multi-Resolution Data Generation","date":"2024-11-26","arxiv_id":"2411.17046","repositories_listed":0,"syntology":null},{"url":null,"slug":"maximally-separated-active-learning","title":"Maximally Separated Active Learning","date":"2024-11-26","arxiv_id":"2411.17444","repositories_listed":0,"syntology":null},{"url":null,"slug":"modality-incremental-learning-with-disjoint","title":"Modality-Incremental Learning with Disjoint Relevance Mapping Networks for Image-based Semantic Segmentation","date":"2024-11-26","arxiv_id":"2411.17610","repositories_listed":0,"syntology":null},{"url":null,"slug":"multimodal-alignment-and-fusion-a-survey","title":"Multimodal Alignment and Fusion: A Survey","date":"2024-11-26","arxiv_id":"2411.17040","repositories_listed":0,"syntology":null},{"url":null,"slug":"network-inversion-and-its-applications","title":"Network Inversion and Its Applications","date":"2024-11-26","arxiv_id":"2411.17777","repositories_listed":0,"syntology":null},{"url":null,"slug":"comparing-photorealism-in-game-engines-for","title":"Comparing Photorealism in Game Engines for Synthetic Maritime Computer Vision Datasets","date":"2024-11-25","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"mixed-degradation-image-restoration-via-local","title":"Mixed Degradation Image Restoration via Local Dynamic Optimization and Conditional Embedding","date":"2024-11-25","arxiv_id":"2411.16217","repositories_listed":0,"syntology":null},{"url":null,"slug":"multi-resolution-generative-modeling-of-human","title":"Multi-Resolution Generative Modeling of Human Motion from Limited Data","date":"2024-11-25","arxiv_id":"2411.16498","repositories_listed":0,"syntology":null},{"url":null,"slug":"priorpath-coarse-to-fine-approach-for","title":"PriorPath: Coarse-To-Fine Approach for Controlled De-Novo Pathology Semantic Masks Generation","date":"2024-11-25","arxiv_id":"2411.16515","repositories_listed":0,"syntology":null},{"url":null,"slug":"text-to-image-synthesis-a-decade-survey","title":"Text-to-Image Synthesis: A Decade Survey","date":"2024-11-25","arxiv_id":"2411.16164","repositories_listed":0,"syntology":null},{"url":null,"slug":"towards-foundation-models-for-critical-care","title":"Towards Foundation Models for Critical Care Time Series","date":"2024-11-25","arxiv_id":"2411.16346","repositories_listed":0,"syntology":null},{"url":null,"slug":"understanding-trade-offs-in-classifier-bias","title":"Understanding trade-offs in classifier bias with quality-diversity optimization: an application to talent management","date":"2024-11-25","arxiv_id":"2411.16965","repositories_listed":0,"syntology":null},{"url":null,"slug":"visuallens-personalization-through-visual","title":"VisualLens: Personalization through Visual History","date":"2024-11-25","arxiv_id":"2411.16034","repositories_listed":0,"syntology":null},{"url":null,"slug":"an-improved-dung-beetle-optimizer-for-random","title":"An Improved Dung Beetle Optimizer for Random Forest Optimization","date":"2024-11-24","arxiv_id":"2411.17738","repositories_listed":0,"syntology":null},{"url":null,"slug":"anyedit-mastering-unified-high-quality-image","title":"AnyEdit: Mastering Unified High-Quality Image Editing for Any Idea","date":"2024-11-24","arxiv_id":"2411.15738","repositories_listed":0,"syntology":null},{"url":null,"slug":"evolution-of-thought-diverse-and-high-quality","title":"Evolution of Thought: Diverse and High-Quality Reasoning via Multi-Objective Optimization","date":"2024-11-24","arxiv_id":"2412.07779","repositories_listed":0,"syntology":null},{"url":null,"slug":"letstalk-latent-diffusion-transformer-for","title":"LetsTalk: Latent Diffusion Transformer for Talking Video Synthesis","date":"2024-11-24","arxiv_id":"2411.16748","repositories_listed":0,"syntology":null},{"url":null,"slug":"multi-tom-evaluating-multilingual-theory-of","title":"Multi-ToM: Evaluating Multilingual Theory of Mind Capabilities in Large Language Models","date":"2024-11-24","arxiv_id":"2411.15999","repositories_listed":0,"syntology":null},{"url":null,"slug":"chemsafetybench-benchmarking-llm-safety-on","title":"ChemSafetyBench: Benchmarking LLM Safety on Chemistry Domain","date":"2024-11-23","arxiv_id":"2411.16736","repositories_listed":0,"syntology":null},{"url":null,"slug":"learning-a-local-trading-strategy-deep","title":"Learning a local trading strategy: deep reinforcement learning for grid-scale renewable energy integration","date":"2024-11-23","arxiv_id":"2411.15422","repositories_listed":0,"syntology":null}],"record_sha256":"9f31c9c3949c0554e27fe8edab5ad3c2a1e10f324dd72cf20d23aab291d08d48","record_changed_at":"2026-09-28","record_changed_at_basis":"first_hashed"}