{"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/44","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":44,"pages_in_order":91,"rows_per_page":100,"rows":[4301,4400],"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/43","next":"/task/diversity/papers/45","papers":[{"url":null,"slug":"data-efficient-acoustic-scene-classification","title":"Data Efficient Acoustic Scene Classification using Teacher-Informed Confusing Class Instruction","date":"2024-09-18","arxiv_id":"2409.11964","repositories_listed":0,"syntology":null},{"url":null,"slug":"enhancing-complex-formula-recognition-with","title":"Enhancing Complex Formula Recognition with Hierarchical Detail-Focused Network","date":"2024-09-18","arxiv_id":"2409.11677","repositories_listed":0,"syntology":null},{"url":null,"slug":"eventaug-multifaceted-spatio-temporal-data","title":"EventAug: Multifaceted Spatio-Temporal Data Augmentation Methods for Event-based Learning","date":"2024-09-18","arxiv_id":"2409.11813","repositories_listed":0,"syntology":null},{"url":null,"slug":"gunet-a-graph-convolutional-network-united","title":"GUNet: A Graph Convolutional Network United Diffusion Model for Stable and Diversity Pose Generation","date":"2024-09-18","arxiv_id":"2409.11689","repositories_listed":0,"syntology":null},{"url":null,"slug":"k-mer-based-approaches-to-bridging","title":"k-mer-based approaches to bridging pangenomics and population genetics","date":"2024-09-18","arxiv_id":"2409.11683","repositories_listed":0,"syntology":null},{"url":null,"slug":"multivariate-analysis-of-gut-microbiota","title":"Multivariate Analysis of Gut Microbiota Composition and Prevalence of Gastric Cancer","date":"2024-09-18","arxiv_id":"2409.12209","repositories_listed":0,"syntology":null},{"url":null,"slug":"paindiffusion-can-robot-express-pain","title":"PainDiffusion: Can robot express pain?","date":"2024-09-18","arxiv_id":"2409.11635","repositories_listed":0,"syntology":null},{"url":null,"slug":"ropebev-a-multi-camera-roadside-perception","title":"RopeBEV: A Multi-Camera Roadside Perception Network in Bird's-Eye-View","date":"2024-09-18","arxiv_id":"2409.11706","repositories_listed":0,"syntology":null},{"url":null,"slug":"spoofceleb-speech-deepfake-detection-and-sasv","title":"SpoofCeleb: Speech Deepfake Detection and SASV In The Wild","date":"2024-09-18","arxiv_id":"2409.17285","repositories_listed":0,"syntology":null},{"url":null,"slug":"tacie-enhancing-instruction-comprehension-in","title":"TaCIE: Enhancing Instruction Comprehension in Large Language Models through Task-Centred Instruction Evolution","date":"2024-09-18","arxiv_id":"2410.02795","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-framework-for-ranking-content-providers","title":"A Framework for Ranking Content Providers Using Prompt Engineering and Self-Attention Network","date":"2024-09-17","arxiv_id":"2409.11511","repositories_listed":0,"syntology":null},{"url":null,"slug":"aradice-benchmarks-for-dialectal-and-cultural","title":"AraDiCE: Benchmarks for Dialectal and Cultural Capabilities in LLMs","date":"2024-09-17","arxiv_id":"2409.11404","repositories_listed":0,"syntology":null},{"url":null,"slug":"augment-drop-swap-improving-diversity-in-llm","title":"Augment, Drop & Swap: Improving Diversity in LLM Captions for Efficient Music-Text Representation Learning","date":"2024-09-17","arxiv_id":"2409.11498","repositories_listed":0,"syntology":null},{"url":null,"slug":"balancing-optimality-and-diversity-human","title":"Balancing Optimality and Diversity: Human-Centered Decision Making through Generative Curation","date":"2024-09-17","arxiv_id":"2409.11535","repositories_listed":0,"syntology":null},{"url":null,"slug":"diversity-grounded-channel-prototypical","title":"Diversity-grounded Channel Prototypical Learning for Out-of-Distribution Intent Detection","date":"2024-09-17","arxiv_id":"2409.11114","repositories_listed":0,"syntology":null},{"url":null,"slug":"higher-order-interactions-in-random-lotka","title":"Higher-order interactions in random Lotka-Volterra communities","date":"2024-09-17","arxiv_id":"2409.10990","repositories_listed":0,"syntology":null},{"url":null,"slug":"multi-cohort-framework-with-cohort-aware","title":"Multi-Cohort Framework with Cohort-Aware Attention and Adversarial Mutual-Information Minimization for Whole Slide Image Classification","date":"2024-09-17","arxiv_id":"2409.11119","repositories_listed":0,"syntology":null},{"url":null,"slug":"synthetic-data-augmentation-for-robotic","title":"Synthetic data augmentation for robotic mobility aids to support blind and low vision people","date":"2024-09-17","arxiv_id":"2409.11164","repositories_listed":0,"syntology":null},{"url":null,"slug":"how-to-do-impactful-research-in-artificial","title":"Spiers Memorial Lecture: How to do impactful research in artificial intelligence for chemistry and materials science","date":"2024-09-16","arxiv_id":"2409.10304","repositories_listed":0,"syntology":null},{"url":null,"slug":"vae-qwgan-improving-quantum-gans-for-high","title":"VAE-QWGAN: Addressing Mode Collapse in Quantum GANs via Autoencoding Priors","date":"2024-09-16","arxiv_id":"2409.10339","repositories_listed":0,"syntology":null},{"url":null,"slug":"visualizing-temporal-topic-embeddings-with-a","title":"Visualizing Temporal Topic Embeddings with a Compass","date":"2024-09-16","arxiv_id":"2409.10649","repositories_listed":0,"syntology":null},{"url":null,"slug":"abnormal-event-detection-in-videos-using-deep","title":"Abnormal Event Detection In Videos Using Deep Embedding","date":"2024-09-15","arxiv_id":"2409.09804","repositories_listed":0,"syntology":null},{"url":null,"slug":"bias-begets-bias-the-impact-of-biased","title":"Bias Begets Bias: The Impact of Biased Embeddings on Diffusion Models","date":"2024-09-15","arxiv_id":"2409.09569","repositories_listed":0,"syntology":null},{"url":null,"slug":"enhancing-data-quality-through-self-learning","title":"Enhancing Data Quality through Self-learning on Imbalanced Financial Risk Data","date":"2024-09-15","arxiv_id":"2409.09792","repositories_listed":0,"syntology":null},{"url":null,"slug":"generalizing-alignment-paradigm-of-text-to","title":"Generalizing Alignment Paradigm of Text-to-Image Generation with Preferences through $f$-divergence Minimization","date":"2024-09-15","arxiv_id":"2409.09774","repositories_listed":0,"syntology":null},{"url":null,"slug":"thesis-proposal-are-we-losing-textual","title":"Thesis proposal: Are We Losing Textual Diversity to Natural Language Processing?","date":"2024-09-15","arxiv_id":"2409.09568","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-compressive-memory-based-retrieval-approach","title":"A Compressive Memory-based Retrieval Approach for Event Argument Extraction","date":"2024-09-14","arxiv_id":"2409.09322","repositories_listed":0,"syntology":null},{"url":null,"slug":"towards-diverse-and-efficient-audio","title":"Towards Diverse and Efficient Audio Captioning via Diffusion Models","date":"2024-09-14","arxiv_id":"2409.09401","repositories_listed":0,"syntology":null},{"url":null,"slug":"adjoint-matching-fine-tuning-flow-and","title":"Adjoint Matching: Fine-tuning Flow and Diffusion Generative Models with Memoryless Stochastic Optimal Control","date":"2024-09-13","arxiv_id":"2409.08861","repositories_listed":0,"syntology":null},{"url":null,"slug":"learnings-from-curating-a-trustworthy-well","title":"Learnings from curating a trustworthy, well-annotated, and useful dataset of disordered English speech","date":"2024-09-13","arxiv_id":"2409.09190","repositories_listed":0,"syntology":null},{"url":null,"slug":"multi-intent-aware-contrastive-learning-for","title":"Multi-intent Aware Contrastive Learning for Sequential Recommendation","date":"2024-09-13","arxiv_id":"2409.08733","repositories_listed":0,"syntology":null},{"url":null,"slug":"towards-precision-characterization-of","title":"Towards Precision Characterization of Communication Disorders using Models of Perceived Pragmatic Similarity","date":"2024-09-13","arxiv_id":"2409.09170","repositories_listed":0,"syntology":null},{"url":null,"slug":"polarforming-for-wireless-communications","title":"Polarforming for Wireless Communications: Modeling and Performance Analysis","date":"2024-09-12","arxiv_id":"2409.07771","repositories_listed":0,"syntology":null},{"url":null,"slug":"randomized-spline-trees-for-functional-data","title":"Randomized Spline Trees for Functional Data Classification: Theory and Application to Environmental Time Series","date":"2024-09-12","arxiv_id":"2409.07879","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-novel-mathematical-framework-for-objective","title":"A Novel Mathematical Framework for Objective Characterization of Ideas","date":"2024-09-11","arxiv_id":"2409.07578","repositories_listed":0,"syntology":null},{"url":null,"slug":"diffted-one-shot-audio-driven-ted-talk-video","title":"DiffTED: One-shot Audio-driven TED Talk Video Generation with Diffusion-based Co-speech Gestures","date":"2024-09-11","arxiv_id":"2409.07649","repositories_listed":0,"syntology":null},{"url":"/paper/icdar-2024-competition-on-few-shot-and-many","slug":"icdar-2024-competition-on-few-shot-and-many","title":"ICDAR 2024 Competition on Few-Shot and Many-Shot Layout Segmentation of Ancient Manuscripts (SAM)","date":"2024-09-11","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"privacy-preserving-federated-learning-with-1","title":"Privacy-Preserving Federated Learning with Consistency via Knowledge Distillation Using Conditional Generator","date":"2024-09-11","arxiv_id":"2409.06955","repositories_listed":0,"syntology":null},{"url":null,"slug":"when-more-data-hurts-optimizing-data-coverage","title":"When More Data Hurts: Optimizing Data Coverage While Mitigating Diversity Induced Underfitting in an Ultra-Fast Machine-Learned Potential","date":"2024-09-11","arxiv_id":"2409.07610","repositories_listed":0,"syntology":null},{"url":null,"slug":"human-motion-synthesis-a-diffusion-approach","title":"Human Motion Synthesis_ A Diffusion Approach for Motion Stitching and In-Betweening","date":"2024-09-10","arxiv_id":"2409.06791","repositories_listed":0,"syntology":null},{"url":null,"slug":"learning-augmentation-policies-from-a-model","title":"Automated Data Augmentation for Few-Shot Time Series Forecasting: A Reinforcement Learning Approach Guided by a Model Zoo","date":"2024-09-10","arxiv_id":"2409.06282","repositories_listed":0,"syntology":null},{"url":null,"slug":"mathglm-vision-solving-mathematical-problems","title":"MathGLM-Vision: Solving Mathematical Problems with Multi-Modal Large Language Model","date":"2024-09-10","arxiv_id":"2409.13729","repositories_listed":0,"syntology":null},{"url":null,"slug":"table-to-text-generation-with-pretrained","title":"Table-to-Text Generation with Pretrained Diffusion Models","date":"2024-09-10","arxiv_id":"2409.13739","repositories_listed":0,"syntology":null},{"url":null,"slug":"elucidating-optimal-reward-diversity","title":"Elucidating Optimal Reward-Diversity Tradeoffs in Text-to-Image Diffusion Models","date":"2024-09-09","arxiv_id":"2409.06493","repositories_listed":0,"syntology":null},{"url":null,"slug":"layeredflow-a-real-world-benchmark-for-non","title":"LayeredFlow: A Real-World Benchmark for Non-Lambertian Multi-Layer Optical Flow","date":"2024-09-09","arxiv_id":"2409.05688","repositories_listed":0,"syntology":null},{"url":null,"slug":"mmevol-empowering-multimodal-large-language","title":"MMEvol: Empowering Multimodal Large Language Models with Evol-Instruct","date":"2024-09-09","arxiv_id":"2409.05840","repositories_listed":0,"syntology":null},{"url":null,"slug":"prim2room-layout-controllable-room-mesh","title":"Prim2Room: Layout-Controllable Room Mesh Generation from Primitives","date":"2024-09-09","arxiv_id":"2409.05380","repositories_listed":0,"syntology":null},{"url":null,"slug":"seeing-is-believing-enhancing-vision-language","title":"Seeing is Believing? Enhancing Vision-Language Navigation using Visual Perturbations","date":"2024-09-09","arxiv_id":"2409.05552","repositories_listed":0,"syntology":null},{"url":null,"slug":"upcs-unbiased-persona-construction-for","title":"UPCS: Unbiased Persona Construction for Dialogue Generation","date":"2024-09-09","arxiv_id":"2409.05257","repositories_listed":0,"syntology":null},{"url":null,"slug":"algorithmic-scenario-generation-as-quality","title":"Algorithmic Scenario Generation as Quality Diversity Optimization","date":"2024-09-07","arxiv_id":"2409.04711","repositories_listed":0,"syntology":null},{"url":null,"slug":"incorporate-llms-with-influential-recommender","title":"Leveraging LLMs for Influence Path Planning in Proactive Recommendation","date":"2024-09-07","arxiv_id":"2409.04827","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-high-accuracy-multi-model-mixing","title":"A high-accuracy multi-model mixing retrosynthetic method","date":"2024-09-06","arxiv_id":"2409.04335","repositories_listed":0,"syntology":null},{"url":null,"slug":"absolute-ranking-an-essential-normalization","title":"Absolute Ranking: An Essential Normalization for Benchmarking Optimization Algorithms","date":"2024-09-06","arxiv_id":"2409.04479","repositories_listed":0,"syntology":null},{"url":null,"slug":"d4-text-guided-diffusion-model-based-domain","title":"D4: Text-guided diffusion model-based domain adaptive data augmentation for vineyard shoot detection","date":"2024-09-06","arxiv_id":"2409.04060","repositories_listed":0,"syntology":null},{"url":null,"slug":"multi-modal-diffusion-for-hand-object-grasp","title":"Multi-Modal Diffusion for Hand-Object Grasp Generation","date":"2024-09-06","arxiv_id":"2409.04560","repositories_listed":0,"syntology":null},{"url":null,"slug":"open-language-data-initiative-advancing-low","title":"Open Language Data Initiative: Advancing Low-Resource Machine Translation for Karakalpak","date":"2024-09-06","arxiv_id":"2409.04269","repositories_listed":0,"syntology":null},{"url":null,"slug":"shear-and-transport-in-a-flow-environment","title":"Shear and transport in a flow environment determine spatial patterns and population dynamics in a model of nonlocal ecological competition","date":"2024-09-06","arxiv_id":"2409.04268","repositories_listed":0,"syntology":null},{"url":null,"slug":"using-large-language-models-to-generate-2","title":"Using Large Language Models to Generate Authentic Multi-agent Knowledge Work Datasets","date":"2024-09-06","arxiv_id":"2409.04286","repositories_listed":0,"syntology":null},{"url":null,"slug":"svp-style-enhanced-vivid-portrait-talking","title":"SVP: Style-Enhanced Vivid Portrait Talking Head Diffusion Model","date":"2024-09-05","arxiv_id":"2409.03270","repositories_listed":0,"syntology":null},{"url":null,"slug":"understanding-the-role-of-functional","title":"Understanding the Role of Functional Diversity in Weight-Ensembling with Ingredient Selection and Multidimensional Scaling","date":"2024-09-04","arxiv_id":"2409.02347","repositories_listed":0,"syntology":null},{"url":null,"slug":"empirical-evidence-of-large-language-model-s","title":"Empirical evidence of Large Language Model's influence on human spoken communication","date":"2024-09-03","arxiv_id":"2409.01754","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-framework-for-synthetic-audio-conversations","title":"A Framework for Synthetic Audio Conversations Generation using Large Language Models","date":"2024-09-02","arxiv_id":"2409.00946","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-practical-generalization-metric-for-deep","title":"A practical generalization metric for deep networks benchmarking","date":"2024-09-02","arxiv_id":"2409.01498","repositories_listed":0,"syntology":null},{"url":null,"slug":"enhancing-test-time-adaptation-with-few-shot","title":"Enhancing Test Time Adaptation with Few-shot Guidance","date":"2024-09-02","arxiv_id":"2409.01341","repositories_listed":0,"syntology":null},{"url":null,"slug":"imitating-language-via-scalable-inverse","title":"Imitating Language via Scalable Inverse Reinforcement Learning","date":"2024-09-02","arxiv_id":"2409.01369","repositories_listed":0,"syntology":null},{"url":null,"slug":"marscode-agent-ai-native-automated-bug-fixing","title":"MarsCode Agent: AI-native Automated Bug Fixing","date":"2024-09-02","arxiv_id":"2409.00899","repositories_listed":0,"syntology":null},{"url":null,"slug":"patternpaint-generating-layout-patterns-using","title":"PatternPaint: Practical Layout Pattern Generation Using Diffusion-Based Inpainting","date":"2024-09-02","arxiv_id":"2409.01348","repositories_listed":0,"syntology":null},{"url":null,"slug":"swarm-systems-as-a-platform-for-open-ended","title":"Swarm Systems as a Platform for Open-Ended Evolutionary Dynamics","date":"2024-09-02","arxiv_id":"2409.01469","repositories_listed":0,"syntology":null},{"url":null,"slug":"throughput-optimization-in-cache-aided","title":"Throughput Optimization in Cache-aided Networks: An Opportunistic Probing and Scheduling Approach","date":"2024-09-02","arxiv_id":"2409.00905","repositories_listed":0,"syntology":null},{"url":null,"slug":"kullback-leibler-cluster-entropy-to-quantify","title":"Kullback-Leibler cluster entropy to quantify volatility correlation and risk diversity","date":"2024-09-01","arxiv_id":"2409.10543","repositories_listed":0,"syntology":null},{"url":null,"slug":"seeing-your-speech-style-a-novel-zero-shot","title":"Seeing Your Speech Style: A Novel Zero-Shot Identity-Disentanglement Face-based Voice Conversion","date":"2024-09-01","arxiv_id":"2409.00700","repositories_listed":0,"syntology":null},{"url":null,"slug":"data-augmentation-for-image-classification","title":"Data Augmentation for Image Classification using Generative AI","date":"2024-08-31","arxiv_id":"2409.00547","repositories_listed":0,"syntology":null},{"url":null,"slug":"tso-self-training-with-scaled-preference","title":"TSO: Self-Training with Scaled Preference Optimization","date":"2024-08-31","arxiv_id":"2409.02118","repositories_listed":0,"syntology":null},{"url":null,"slug":"diversedialogue-a-methodology-for-designing","title":"DiverseDialogue: A Methodology for Designing Chatbots with Human-Like Diversity","date":"2024-08-30","arxiv_id":"2409.00262","repositories_listed":0,"syntology":null},{"url":null,"slug":"focus-consistent-multi-level-aggregation-for","title":"Focus-Consistent Multi-Level Aggregation for Compositional Zero-Shot Learning","date":"2024-08-30","arxiv_id":"2408.17083","repositories_listed":0,"syntology":null},{"url":null,"slug":"llms-hallucinate-graphs-too-a-structural","title":"LLMs Prompted for Graphs: Hallucinations and Generative Capabilities","date":"2024-08-30","arxiv_id":"2409.00159","repositories_listed":0,"syntology":null},{"url":null,"slug":"towards-tailored-recovery-of-lexical","title":"Towards Tailored Recovery of Lexical Diversity in Literary Machine Translation","date":"2024-08-30","arxiv_id":"2408.17308","repositories_listed":0,"syntology":null},{"url":null,"slug":"anchor-controlled-generative-adversarial","title":"Anchor-Controlled Generative Adversarial Network for High-Fidelity Electromagnetic and Structurally Diverse Metasurface Design","date":"2024-08-29","arxiv_id":"2408.16231","repositories_listed":0,"syntology":null},{"url":null,"slug":"entropic-distribution-matching-in-supervised","title":"Entropic Distribution Matching in Supervised Fine-tuning of LLMs: Less Overfitting and Better Diversity","date":"2024-08-29","arxiv_id":"2408.16673","repositories_listed":0,"syntology":null},{"url":null,"slug":"msliqa-enhancing-learning-representations-for","title":"MSLIQA: Enhancing Learning Representations for Image Quality Assessment through Multi-Scale Learning","date":"2024-08-29","arxiv_id":"2408.16879","repositories_listed":0,"syntology":null},{"url":"/paper/partformer-awakening-latent-diverse","slug":"partformer-awakening-latent-diverse","title":"PartFormer: Awakening Latent Diverse Representation from Vision Transformer for Object Re-Identification","date":"2024-08-29","arxiv_id":"2408.16684","repositories_listed":0,"syntology":null},{"url":null,"slug":"smaller-weaker-yet-better-training-llm","title":"Smaller, Weaker, Yet Better: Training LLM Reasoners via Compute-Optimal Sampling","date":"2024-08-29","arxiv_id":"2408.16737","repositories_listed":0,"syntology":null},{"url":null,"slug":"united-in-diversity-contextual-biases-in-llm","title":"United in Diversity? Contextual Biases in LLM-Based Predictions of the 2024 European Parliament Elections","date":"2024-08-29","arxiv_id":"2409.09045","repositories_listed":0,"syntology":null},{"url":null,"slug":"benchmarking-foundation-models-as-feature","title":"Benchmarking foundation models as feature extractors for weakly-supervised computational pathology","date":"2024-08-28","arxiv_id":"2408.15823","repositories_listed":0,"syntology":null},{"url":null,"slug":"pdsr-a-privacy-preserving-diversified-service","title":"PDSR: A Privacy-Preserving Diversified Service Recommendation Method on Distributed Data","date":"2024-08-28","arxiv_id":"2408.15688","repositories_listed":0,"syntology":null},{"url":null,"slug":"diffsurf-a-transformer-based-diffusion-model","title":"DiffSurf: A Transformer-based Diffusion Model for Generating and Reconstructing 3D Surfaces in Pose","date":"2024-08-27","arxiv_id":"2408.14860","repositories_listed":0,"syntology":null},{"url":null,"slug":"conceptmix-a-compositional-image-generation","title":"ConceptMix: A Compositional Image Generation Benchmark with Controllable Difficulty","date":"2024-08-26","arxiv_id":"2408.14339","repositories_listed":0,"syntology":null},{"url":null,"slug":"dualspeech-enhancing-speaker-fidelity-and","title":"DualSpeech: Enhancing Speaker-Fidelity and Text-Intelligibility Through Dual Classifier-Free Guidance","date":"2024-08-26","arxiv_id":"2408.14423","repositories_listed":0,"syntology":null},{"url":null,"slug":"evince-optimizing-adversarial-llm-dialogues","title":"EVINCE: Optimizing Multi-LLM Dialogues Using Conditional Statistics and Information Theory","date":"2024-08-26","arxiv_id":"2408.14575","repositories_listed":0,"syntology":null},{"url":null,"slug":"3d-virtfusion-synthetic-3d-data-augmentation","title":"3D-VirtFusion: Synthetic 3D Data Augmentation through Generative Diffusion Models and Controllable Editing","date":"2024-08-25","arxiv_id":"2408.13788","repositories_listed":0,"syntology":null},{"url":null,"slug":"bridging-the-gap-between-real-world-and","title":"Bridging the Gap between Real-world and Synthetic Images for Testing Autonomous Driving Systems","date":"2024-08-25","arxiv_id":"2408.13950","repositories_listed":0,"syntology":null},{"url":null,"slug":"diversity-and-multiplexing-for-continuous","title":"Diversity and Multiplexing for Continuous Aperture Array (CAPA)-Based Communications","date":"2024-08-25","arxiv_id":"2408.13948","repositories_listed":0,"syntology":null},{"url":null,"slug":"localization-and-expansion-a-decoupled","title":"Localization and Expansion: A Decoupled Framework for Point Cloud Few-shot Semantic Segmentation","date":"2024-08-25","arxiv_id":"2408.13752","repositories_listed":0,"syntology":null},{"url":null,"slug":"quality-or-quantity-on-data-scale-and","title":"Quality or Quantity? On Data Scale and Diversity in Adapting Large Language Models for Low-Resource Translation","date":"2024-08-23","arxiv_id":"2408.12780","repositories_listed":0,"syntology":null},{"url":null,"slug":"transforming-location-retrieval-at-airbnb-a","title":"Transforming Location Retrieval at Airbnb: A Journey from Heuristics to Reinforcement Learning","date":"2024-08-23","arxiv_id":"2408.13399","repositories_listed":0,"syntology":null},{"url":null,"slug":"disentangled-structural-and-featural","title":"Disentangled Structural and Featural Representation for Task-Agnostic Graph Valuation","date":"2024-08-22","arxiv_id":"2408.12659","repositories_listed":0,"syntology":null},{"url":null,"slug":"hifakes-high-frequency-synthetic-appliance","title":"HiFAKES: High-frequency synthetic appliance signatures generator for non-intrusive load monitoring","date":"2024-08-22","arxiv_id":"2409.00062","repositories_listed":0,"syntology":null},{"url":null,"slug":"multi-task-curriculum-graph-contrastive","title":"Multi-Task Curriculum Graph Contrastive Learning with Clustering Entropy Guidance","date":"2024-08-22","arxiv_id":"2408.12071","repositories_listed":0,"syntology":null},{"url":null,"slug":"sql-gen-bridging-the-dialect-gap-for-text-to","title":"SQL-GEN: Bridging the Dialect Gap for Text-to-SQL Via Synthetic Data And Model Merging","date":"2024-08-22","arxiv_id":"2408.12733","repositories_listed":0,"syntology":null},{"url":null,"slug":"transformers-are-minimax-optimal","title":"Transformers are Minimax Optimal Nonparametric In-Context Learners","date":"2024-08-22","arxiv_id":"2408.12186","repositories_listed":0,"syntology":null}],"record_sha256":"3a90c157f8493a80fbafcf786b03e8a5bf9aabfbcf760270a86e5db3513013b0","record_changed_at":"2026-09-28","record_changed_at_basis":"first_hashed"}