mlsanityData to 14 Oct 2026

Papers

New on arXiv

Tue 18 Jun 2024

388 papers

  1. DART-Math: Difficulty-Aware Rejection Tuning for Mathematical Problem-SolvingLLM reasoning → Mathematical reasoning
  2. Visually Robust Adversarial Imitation Learning from Videos with Contrastive LearningOffline RL and imitation learning from data → Imitation learning methods
  3. Nash CoT: Multi-Path Inference with Preference EquilibriumLLM reasoning → Prompting and chain-of-thought reasoning
  4. Physics-informed Imitative Reinforcement Learning for Real-world DrivingEnd-to-end autonomous driving → Imitation-learning end-to-end planners +1
  5. On the Principles behind Opinion Dynamics in Multi-Agent Systems of Large Language ModelsLLM agents and tool use → Social simulation and multi-agent debate
  6. Sampling 3D Gaussian Scenes in Seconds with Latent Diffusion ModelsDiffusion models → 3D, point cloud and scene generation
  7. Think-then-Act: A Dual-Angle Evaluated Retrieval-Augmented GenerationLLM reasoning → Knowledge- and tool-augmented reasoning +1
  8. D2O: Dynamic Discriminative Operations for Efficient Long-Context Inference of Large Language ModelsEfficient LLM inference and serving → KV cache optimization
  9. Reinforcement Learning for Corporate Bond Trading: A Sell Side PerspectiveDeep reinforcement learning methods → Adversarial robustness and RL in finance
  10. SWT-Bench: Testing and Validating Real-World Bug-Fixes with Code AgentsLLM agents and tool use → Software engineering coding agents
  11. Instruction Data Generation and Unsupervised Adaptation for Speech Language ModelsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
  12. Interpretable Preferences via Multi-Objective Reward Modeling and Mixture-of-ExpertsLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF +1
  13. Evaluating the design space of diffusion-based generative modelsDiffusion models → Diffusion foundations and sampling
  14. What Are the Odds? Language Models Are Capable of Probabilistic ReasoningLLM reasoning → Test-time compute and efficient thinking
  15. From RAGs to rich parameters: Probing how language models utilize external knowledge over parametric information for factual queriesRetrieval-augmented generation → RAG robustness and adaptive retrieval
  16. Neural Approximate Mirror Maps for Constrained Diffusion ModelsDiffusion models → Diffusion foundations and sampling
  17. Dissecting Adversarial Robustness of Multimodal LM AgentsLLM agents and tool use → Agent threats, guardrails and governance
  18. Identifying Performance-Sensitive Configurations in Software Systems through Code Analysis with LLM AgentsLLM agents and tool use → Software engineering coding agents
  19. Supporting Human Raters with the Detection of Harmful Content using Large Language ModelsLLM safety and security → Safety alignment, refusal and guardrails
  20. ChatGLM: A Family of Large Language Models from GLM-130B to GLM-4 All ToolsLLM reasoning → Reasoning benchmarks and evaluation
  21. OlympicArena: Benchmarking Multi-discipline Cognitive Reasoning for Superintelligent AILLM reasoning → Mathematical reasoning +1
  22. Extracting Training Data from Unconditional Diffusion ModelsDiffusion models → Diffusion foundations and sampling
  23. Benchmarking Multi-Image Understanding in Vision and Language Models: Perception, Knowledge, Reasoning, and Multi-Hop ReasoningLLM reasoning → Multimodal reasoning +1
  24. Self-Distillation for Model Stacking Unlocks Cross-Lingual NLU in 200+ LanguagesKnowledge distillation → Knowledge distillation for LLMs
  25. Mitigating Object Hallucinations in Large Vision-Language Models with Assembly of Global and Local AttentionMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs
  26. AgentReview: Exploring Peer Review Dynamics with LLM AgentsLLM agents and tool use → Web, search, and research agents
  27. Talk With Human-like Agents: Empathetic Dialogue Through Perceptible Acoustic Reception and ReactionLLM agents and tool use → Social simulation and multi-agent debate
  28. [WIP] Jailbreak Paradox: The Achilles' Heel of LLMsLLM safety and security → Jailbreaking
  29. A Systematization of the Wagner Framework: Graph Theory Conjectures and Reinforcement LearningDeep reinforcement learning methods → RL for games and combinatorial optimization
  30. Do More Details Always Introduce More Hallucinations in LVLM-based Image Captioning?Multimodal LLMs / vision-language models → Hallucination mitigation in LVLMs
  31. Ask-before-Plan: Proactive Language Agents for Real-World PlanningLLM agents and tool use → General LLM agent frameworks and benchmarks
  32. Efficient and Long-Tailed Generalization for Pre-trained Vision-Language ModelMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
  33. What Makes Two Language Models Think Alike?LLM reasoning → Reasoning benchmarks and evaluation
  34. Not Everything is All You Need: Toward Low-Redundant Optimization for Large Language Model AlignmentLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
  35. Attack and Defense of Deep Learning Models in the Field of Web Attack DetectionLLM safety and security → Backdoor and data poisoning attacks
  36. Reinforcement-Learning based routing for packet-optical networks with hybrid telemetryDeep reinforcement learning methods → RL for energy, networks and operations
  37. Unmasking the Veil: An Investigation into Concept Ablation for Privacy and Copyright Protection in ImagesDiffusion models → Robustness, privacy and adversarial aspects
  38. Discovering Minimal Reinforcement Learning EnvironmentsDeep reinforcement learning methods → Deep RL algorithms and representations
  39. Training Diffusion Models with Federated LearningDiffusion models → Robustness, privacy and adversarial aspects
  40. Mathador-LM: A Dynamic Benchmark for Mathematical Reasoning on Large Language ModelsLLM reasoning → Mathematical reasoning
  41. RichRAG: Crafting Rich Responses for Multi-faceted Queries in Retrieval-Augmented GenerationRetrieval-augmented generation → RAG robustness and adaptive retrieval
  42. A Super-human Vision-based Reinforcement Learning Agent for Autonomous Racing in Gran TurismoDeep reinforcement learning methods → RL for autonomous driving and traffic
  43. Offline Imitation Learning with Model-based Reverse AugmentationOffline RL and imitation learning from data → Imitation learning methods
  44. P-React: Synthesizing Topic-Adaptive Reactions of Personality Traits via Mixture of Specialized LoRA ExpertsMixture-of-experts → MoE large language models
  45. Liar, Liar, Logical Mire: A Benchmark for Suppositional Reasoning in Large Language ModelsLLM reasoning → Reasoning benchmarks and evaluation
  46. Variational Distillation of Diffusion Policies into Mixture of ExpertsDiffusion models → Diffusion foundations and sampling +1
  47. Unified Active Retrieval for Retrieval Augmented GenerationRetrieval-augmented generation → RAG pipeline design and evaluation
  48. Update Selective Parameters: Federated Machine Unlearning Based on Model ExplanationLLM safety and security → Federated unlearning and poisoning
  49. Demonstrating Agile Flight from Pixels without State EstimationDeep reinforcement learning methods → RL for robot navigation and UAV control
  50. Code-Optimise: Self-Generated Preference Data for Correctness and EfficiencySynthetic data and self-improvement for LLMs → Code and instruction data synthesis
  51. Autonomous navigation of catheters and guidewires in mechanical thrombectomy using inverse reinforcement learningDeep reinforcement learning methods → RL for clinical treatment and surgery
  52. The Power of LLM-Generated Synthetic Data for Stance Detection in Online Political DiscussionsSynthetic data and self-improvement for LLMs → LLM synthetic data generation
  53. RS-GPT4V: A Unified Multimodal Instruction-Following Dataset for Remote Sensing Image UnderstandingMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
  54. Planning Using Schr"odinger Bridge Diffusion ModelsDiffusion models → Diffusion foundations and sampling
  55. Retrieval-Augmented Generation for Generative Artificial Intelligence in MedicineRetrieval-augmented generation → Medical and biomedical RAG
  56. Abstraction-of-Thought Makes Language Models Better ReasonersLLM reasoning → Prompting and chain-of-thought reasoning
  57. PlanRAG: A Plan-then-Retrieval Augmented Generation for Generative Large Language Models as Decision MakersRetrieval-augmented generation → RAG pipeline design and evaluation
  58. Query Routing for Homogeneous Tools: An Instantiation in the RAG ScenarioLLM agents and tool use → Tool learning and function calling
  59. PSLM: Parallel Generation of Text and Speech with LLMs for Low-Latency Spoken Dialogue SystemsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
  60. Beyond Under-Alignment: Atomic Preference Enhanced Factuality Tuning for Large Language ModelsLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
  61. TADM: Temporally-Aware Diffusion Model for Neurodegenerative Progression on Brain MRIDiffusion models → Medical imaging and segmentation
  62. FedCoT: Federated Chain-of-Thought Distillation for Large Language ModelsLLM reasoning → Reasoning for agents, planning and code
  63. Unveiling the Flaws: Exploring Imperfections in Synthetic Data and Mitigation Strategies for Large Language ModelsSynthetic data and self-improvement for LLMs → LLM synthetic data generation
  64. IPEval: A Bilingual Intellectual Property Agency Consultation Evaluation Benchmark for Large Language ModelsLLM reasoning → Reasoning for agents, planning and code
  65. VRSBench: A Versatile Vision-Language Benchmark Dataset for Remote Sensing Image UnderstandingMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
  66. GW-MoE: Resolving Uncertainty in MoE Router with Global Workspace TheoryMixture-of-experts → Expert routing strategies
  67. WebCanvas: Benchmarking Web Agents in Online EnvironmentsLLM agents and tool use → Web, search, and research agents
  68. Memory Sequence Length of Data Sampling Impacts the Adaptation of Meta-Reinforcement Learning AgentsDeep reinforcement learning methods → Deep RL algorithms and representations
  69. Cross-Lingual Unlearning of Selective Knowledge in Multilingual Language ModelsLLM safety and security → Machine unlearning
  70. Effective Generation of Feasible Solutions for Integer Programming via Guided DiffusionDiffusion models → Diffusion foundations and sampling
  71. Attention Score is not All You Need for Token Importance Indicator in KV Cache Reduction: Value Also MattersEfficient LLM inference and serving → KV cache optimization
  72. Retrieval Meets Reasoning: Dynamic In-Context Editing for Long-Text UnderstandingLLM reasoning → Knowledge- and tool-augmented reasoning
  73. Opt-Out: Investigating Entity-Level Unlearning for Large Language Models via Optimal TransportLLM safety and security → Machine unlearning
  74. Automatic benchmarking of large multimodal models via iterative experiment programmingMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
  75. Adaptive Safe Reinforcement Learning-Enabled Optimization of Battery Fast-Charging ProtocolsDeep reinforcement learning methods → RL for energy, networks and operations
  76. Can Tool-augmented Large Language Models be Aware of Incomplete Conditions?LLM agents and tool use → Tool learning and function calling
  77. Immiscible Diffusion: Accelerating Diffusion Training with Noise AssignmentDiffusion models → Diffusion foundations and sampling
  78. An Investigation of Neuron Activation as a Unified Lens to Explain Chain-of-Thought Eliciting Arithmetic Reasoning of LLMsLLM reasoning → Mathematical reasoning
  79. Demystifying the Recency Heuristic in Temporal-Difference LearningDeep reinforcement learning methods → RL theory and sample complexity
  80. CodeNav: Beyond tool-use to using real-world codebases with LLM agentsLLM agents and tool use → Software engineering coding agents
  81. VoCo-LLaMA: Towards Vision Compression with Large Language ModelsMultimodal LLMs / vision-language models → Visual token pruning and efficiency
  82. SafeInfer: Context Adaptive Decoding Time Safety Alignment for Large Language ModelsLLM alignment / RLHF / preference optimisation → Safety alignment and jailbreak attacks +1
  83. Slot State Space ModelsState-space sequence models (S4, Mamba) → Core SSM architectures for language
  84. Unveiling Implicit Table Knowledge with Question-Then-Pinpoint Reasoner for Insightful Table SummarizationLLM reasoning → Knowledge- and tool-augmented reasoning
  85. CleanGen: Mitigating Backdoor Attacks for Generation Tasks in Large Language ModelsLLM safety and security → Backdoor and data poisoning attacks
  86. A Hopfieldian View-based Interpretation for Chain-of-Thought ReasoningLLM reasoning → Prompting and chain-of-thought reasoning
  87. More Efficient Randomized Exploration for Reinforcement Learning via Approximate SamplingDeep reinforcement learning methods → RL theory and sample complexity
  88. Holmes-VAD: Towards Unbiased and Explainable Video Anomaly Detection via Multi-modal LLMMultimodal LLMs / vision-language models → Chart understanding and anomaly detection
  89. The Solution for CVPR2024 Foundational Few-Shot Object Detection ChallengeMultimodal LLMs / vision-language models → Driving VLMs and open-vocabulary detection
  90. Is persona enough for personality? Using ChatGPT to reconstruct an agent's latent personality from simple descriptionsLLM agents and tool use → Social simulation and multi-agent debate
  91. On the Exponential Convergence for Offline RLHF with Pairwise ComparisonsLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF +1
  92. Debate as Optimization: Adaptive Conformal Prediction and Diverse Retrieval for Event ExtractionLLM agents and tool use → Social simulation and multi-agent debate
  93. Aqulia-Med LLM: Pioneering Full-Process Open-Source Medical Language ModelsLLM alignment / RLHF / preference optimisation → Medical LLM alignment
  94. Navigating the Labyrinth: Evaluating LLMs' Ability to Reason About Search ProblemsLLM reasoning → Mathematical reasoning
  95. Intermediate Distillation: Data-Efficient Distillation from Black-Box LLMs for Information RetrievalRetrieval-augmented generation → Generation and context integration
  96. BPO: Staying Close to the Behavior LLM Creates Better Online LLM AlignmentLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
  97. Free to play: UN Trade and Development's experience with developing its own open-source Retrieval Augmented Generation Large Language Model application
  98. CTourLLM: Enhancing LLMs with Chinese Tourism Knowledge
  99. GPT Czech Poet: Generation of Czech Poetic Strophes with Language Models
  100. Rethinking Knee Osteoarthritis Severity Grading: A Few Shot Self-Supervised Contrastive Learning Approach
All 388
  1. Machine Learning Based Prediction of Proton Conductivity in Metal-Organic Frameworks
  2. Variables are a Curse in Software Vulnerability Prediction
  3. DrugWatch: A Comprehensive Multi-Source Data Visualisation Platform for Drug Safety Information
  4. Saliency Attention and Semantic Similarity-Driven Adversarial Perturbation
  5. EarDA: Towards Accurate and Data-Efficient Earable Activity Sensing
  6. Enhancing Diagnostic Reliability of Foundation Model with Uncertainty Estimation in OCT Images
  7. Causal Discovery Inspired Unsupervised Domain Adaptation for Emotion-Cause Pair Extraction
  8. Orangutan: A Multiscale Brain Emulation-Based Artificial Intelligence Framework for Dynamic Environments
  9. Improving Text-To-Audio Models with Synthetic Captions
  10. AEM: Attention Entropy Maximization for Multiple Instance Learning based Whole Slide Image Classification
  11. Attention Networks for Personalized Mealtime Insulin Dosing in People with Type 1 Diabetes
  12. Nutmeg and SPICE: Models and Data for Biomolecular Machine Learning
  13. Accelerating Complex Disease Treatment through Network Medicine and GenAI: A Case Study on Drug Repurposing for Breast Cancer
  14. A transformer boosted UNet for smoke segmentation in complex backgrounds in multispectral LandSat imagery
  15. A Generic Method for Fine-grained Category Discovery in Natural Language Texts
  16. On instabilities in neural network-based physics simulators
  17. Exploring and Benchmarking the Planning Capabilities of Large Language Models
  18. RITA: A Real-time Interactive Talking Avatars Framework
  19. Multilingual Synopses of Movie Narratives: A Dataset for Vision-Language Story Understanding
  20. NaviSplit: Dynamic Multi-Branch Split DNNs for Efficient Distributed Autonomous Navigation
  21. Class-specific Data Augmentation for Plant Stress Classification
  22. Exact Community Recovery under Side Information: Optimality of Spectral Algorithms
  23. PIPPIN: Generating variable length full events from partons
  24. Let the Noise Speak: Harnessing Noise for a Unified Defense Against Adversarial and Backdoor Attacks
  25. Evaluating n-Gram Novelty of Language Models Using Rusty-DAWG
  26. MaskPure: Improving Defense Against Text Adversaries with Stochastic Purification
  27. Machine Learning and Optimization Techniques for Solving Inverse Kinematics in a 7-DOF Robotic Arm
  28. Scale-Translation Equivariant Network for Oceanic Internal Solitary Wave Localization
  29. Learned Compression of Encoding Distributions
  30. Informed along the road: roadway capacity driven graph convolution network for network-wide traffic prediction
  31. Assessing AI-Generated vs. Human-Authored Spear Phishing SMS Attacks: An Empirical Study
  32. Head Pose Estimation and 3D Neural Surface Reconstruction via Monocular Camera in situ for Navigation and Safe Insertion into Natural Openings
  33. Bayesian-LoRA: LoRA based Parameter Efficient Fine-Tuning using Optimal Quantization levels and Rank Values trough Differentiable Bayesian Gates
  34. Accelerated Stochastic Min-Max Optimization Based on Bias-corrected Momentum
  35. Traffic Prediction considering Multiple Levels of Spatial-temporal Information: A Multi-scale Graph Wavelet-based Approach
  36. Sharp detection of low-dimensional structure in probability measures via dimensional logarithmic Sobolev inequalities
  37. Real-time Yemeni Currency Detection
  38. A machine learning pipeline for automated insect monitoring
  39. ABNet: Attention BarrierNet for Safe and Scalable Robot Learning
  40. k-Submodular Interdiction Problems under Distributional Risk-Receptiveness and Robustness: Application to Machine Learning
  41. Deriving Hematological Disease Classes Using Fuzzy Logic and Expert Knowledge: A Comprehensive Machine Learning Approach with CBC Parameters
  42. Data Plagiarism Index: Characterizing the Privacy Risk of Data-Copying in Tabular Generative Models
  43. Detecting Errors through Ensembling Prompts (DEEP): An End-to-End LLM Framework for Detecting Factual Errors
  44. ClaudesLens: Uncertainty Quantification in Computer Vision Models
  45. NTIRE 2024 Challenge on Night Photography Rendering
  46. Weighted Sum of Segmented Correlation: An Efficient Method for Spectra Matching in Hyperspectral Images
  47. Recurrence over Video Frames (RoVF) for the Re-identification of Meerkats
  48. Coding Speech through Vocal Tract Kinematics
  49. Discovering Elementary Discourse Units in Textual Data Using Canonical Correlation Analysis
  50. Additive regularization schedule for neural architecture search
  51. SHIELD: Evaluation and Defense Strategies for Copyright Compliance in LLM Text Generation
  52. Skin Cancer Images Classification using Transfer Learning Techniques
  53. Pattern or Artifact? Interactively Exploring Embedding Quality with TRACE
  54. MolecularGPT: Open Large Language Model (LLM) for Few-Shot Molecular Property Prediction
  55. New Reservoir Computing Kernel Based on Chaotic Chua Circuit and Investigating Application to Post-Quantum Cryptography
  56. Tabular Data Generation Models: An In-Depth Survey and Performance Benchmarks with Extensive Tuning
  57. Semantic Graph Consistency: Going Beyond Patches for Regularizing Self-Supervised Vision Transformers
  58. Depth Anywhere: Enhancing 360 Monocular Depth Estimation via Perspective Distillation and Unlabeled Data Augmentation
  59. ChangeViT: Unleashing Plain Vision Transformers for Change Detection
  60. DrVideo: Document Retrieval Based Long Video Understanding
  61. Synergizing Foundation Models and Federated Learning: A Survey
  62. Can Go AIs be adversarially robust?
  63. Demystifying Higher-Order Graph Neural Networks
  64. LayerMerge: Neural Network Depth Compression through Layer Pruning and Merging
  65. Influence Maximization via Graph Neural Bandits
  66. GroPrompt: Efficient Grounded Prompting and Adaptation for Referring Video Object Segmentation
  67. LaMDA: Large Model Fine-Tuning via Spectrally Decomposed Low-Dimensional Adaptation
  68. VIA: Unified Spatiotemporal Video Adaptation Framework for Global and Local Video Editing
  69. Is It Good Data for Multilingual Instruction Tuning or Just Bad Multilingual Evaluation for Large Language Models?
  70. Privacy Preserving Federated Learning in Medical Imaging with Uncertainty Estimation
  71. Can Large Language Models Always Solve Easy Problems if They Can Solve Harder Ones?
  72. Graph Neural Networks in Histopathology: Emerging Trends and Future Directions
  73. Probabilistic Temporal Prediction of Continuous Disease Trajectories and Treatment Effects Using Neural SDEs
  74. AITTI: Learning Adaptive Inclusive Token for Text-to-Image Generation
  75. Scalable Rule Lists Learning with Sampling
  76. The Limits of Pure Exploration in POMDPs: When the Observation Entropy is Enough
  77. Generating Educational Materials with Different Levels of Readability using LLMs
  78. In-Context Learning of Energy Functions
  79. UBench: Benchmarking Uncertainty in Large Language Models with Multiple Choice Questions
  80. Composited-Nested-Learning with Data Augmentation for Nested Named Entity Recognition
  81. Hopping Too Late: Exploring the Limitations of Large Language Models on Multi-Hop Queries
  82. Towards Exact Gradient-based Training on Analog In-memory Computing
  83. First-Order Methods for Linearly Constrained Bilevel Optimization
  84. Informatics & dairy industry coalition: AI trends and present challenges
  85. Latent Intuitive Physics: Learning to Transfer Hidden Physics from A 3D Video
  86. Quasi-Bayes meets Vines
  87. Implicit Bias of Mirror Flow on Separable Data
  88. Unsupervised explainable activity prediction in competitive Nordic Walking from experimental data
  89. MAC: A Benchmark for Multiple Attributes Compositional Zero-Shot Learning
  90. GFM4MPM: Towards Geospatial Foundation Models for Mineral Prospectivity Mapping
  91. Chumor 1.0: A Truly Funny and Challenging Chinese Humor Understanding Dataset from Ruo Zhi Ba
  92. TSI-Bench: Benchmarking Time Series Imputation
  93. Diversify, Rationalize, and Combine: Ensembling Multiple QA Strategies for Zero-shot Knowledge-based VQA
  94. Ensuring Both Positivity and Stability Using Sector-Bounded Nonlinearity for Systems with Neural Network Controllers
  95. Large Language Model as a Universal Clinical Multi-task Decoder
  96. Beyond Visual Appearances: Privacy-sensitive Objects Identification via Hybrid Graph Reasoning
  97. Automatic generation of insights from workers' actions in industrial workflows with explainable Machine Learning
  98. Predicting the energetic proton flux with a machine learning regression algorithm
  99. Can Large Language Models Code Like a Linguist?: A Case Study in Low Resource Sound Law Induction
  100. BIOSCAN-5M: A Multimodal Dataset for Insect Biodiversity
  101. Exploring the Robustness of Language Models for Tabular Question Answering via Attention Analysis
  102. Self-Localized Collaborative Perception
  103. Enhancing Spatio-temporal Quantile Forecasting with Curriculum Learning: Lessons Learned
  104. Coarse-Fine Spectral-Aware Deformable Convolution For Hyperspectral Image Reconstruction
  105. SUPER: Selfie Undistortion and Head Pose Editing with Identity Preservation
  106. Online-Adaptive Anomaly Detection for Defect Identification in Aircraft Assembly
  107. XXLTraffic: Expanding and Extremely Long Traffic forecasting beyond test adaptation
  108. MAGIC: Generating Self-Correction Guideline for In-Context Text-to-SQL
  109. Using LLMs to Aid Annotation and Collection of Clinically-Enriched Data in Bipolar Disorder and Schizophrenia
  110. Spatial Sequence Attention Network for Schizophrenia Classification from Structural Brain MR Images
  111. Measuring Psychological Depth in Language Models
  112. Vernacular? I Barely Know Her: Challenges with Style Control and Stereotyping
  113. Contraction rates for conjugate gradient and Lanczos approximate posteriors in Gaussian process regression
  114. Estimating Knowledge in Large Language Models Without Generating a Single Token
  115. Sparsifying dimensionality reduction of PDE solution data with Bregman learning
  116. GeoBench: Benchmarking and Analyzing Monocular Geometry Estimation Models
  117. Stealth edits to large language models
  118. Disturbing Image Detection Using LMM-Elicited Emotion Embeddings
  119. CollabStory: Multi-LLM Collaborative Story Generation and Authorship Analysis
  120. Online Anchor-based Training for Image Classification Tasks
  121. SCORE: A 1D Reparameterization Technique to Break Bayesian Optimization's Curse of Dimensionality
  122. Investigating the Role of Explainability and AI Literacy in User Compliance
  123. A variational Bayes approach to inference for low-dimensional parameters in high-dimensional linear regression
  124. Federated Learning with a Single Shared Image
  125. Benchmarks and Metrics for Evaluations of Code Generation: A Critical Review
  126. Transforming Surgical Interventions with Embodied Intelligence for Ultrasound Robotics
  127. Probabilistic Conceptual Explainers: Trustworthy Conceptual Explanations for Vision Foundation Models
  128. An Empirical Study on the Fairness of Foundation Models for Multi-Organ Image Segmentation
  129. Evaluating Evidence Attribution in Generated Fact Checking Explanations
  130. Hierarchical Prompting Taxonomy: A Universal Evaluation Framework for Large Language Models Aligned with Human Cognitive Principles
  131. DetectBench: Can Large Language Model Detect and Piece Together Implicit Evidence?
  132. Research and Implementation of Data Enhancement Techniques for Graph Neural Networks
  133. ScenEval: A Benchmark for Scenario-Based Evaluation of Code Generation
  134. News Without Borders: Domain Adaptation of Multilingual Sentence Embeddings for Cross-lingual News Recommendation
  135. Cyclic 2.5D Perceptual Loss for Cross-Modal 3D Medical Image Synthesis: T1w MRI to Tau PET
  136. SeTAR: Out-of-Distribution Detection with Selective Low-Rank Approximation
  137. Judging the Judges: Evaluating Alignment and Vulnerabilities in LLMs-as-Judges
  138. Learned Image Compression for HE-stained Histopathological Images via Stain Deconvolution
  139. Growing Trees on Sounds: Assessing Strategies for End-to-End Dependency Parsing of Speech
  140. From Insights to Actions: The Impact of Interpretability and Analysis Research on NLP
  141. Learning diffusion at lightspeed
  142. When Are Bias-Free ReLU Networks Effectively Linear Networks?
  143. EUvsDisinfo: A Dataset for Multilingual Detection of Pro-Kremlin Disinformation in News Articles
  144. Rapid Language Adaptation for Multilingual E2E Speech Recognition Using Encoder Prompting
  145. Bridging Local Details and Global Context in Text-Attributed Graphs
  146. Generalization bounds for mixing processes via delayed online-to-PAC conversions
  147. PromptDSI: Prompt-based Rehearsal-free Continual Learning for Document Retrieval
  148. UIFV: Data Reconstruction Attack in Vertical Federated Learning
  149. Restorer: Removing Multi-Degradation with All-Axis Attention and Prompt Guidance
  150. Breaking the Ceiling of the LLM Community by Treating Token Generation as a Classification for Ensembling
  151. Cephalometric Landmark Detection across Ages with Prototypical Network
  152. Applying Ensemble Methods to Model-Agnostic Machine-Generated Text Detection
  153. MOYU: A Theoretical Study on Massive Over-activation Yielded Uplifts in LLMs
  154. Low-Resource Machine Translation through the Lens of Personalized Federated Learning
  155. Towards Bayesian Data Selection
  156. MultiSocial: Multilingual Benchmark of Machine-Generated Text Detection of Social-Media Texts
  157. Integrating Representational Gestures into Automatically Generated Embodied Explanations and its Effects on Understanding and Interaction Quality
  158. The Heterophilic Snowflake Hypothesis: Training and Empowering GNNs for Heterophilic Graphs
  159. ViDSOD-100: A New Dataset and a Baseline Model for RGB-D Video Salient Object Detection
  160. TREE: Tree Regularization for Efficient Execution
  161. LLM4MSR: An LLM-Enhanced Paradigm for Multi-Scenario Recommendation
  162. FuseGen: PLM Fusion for Data-generation based Zero-shot Learning
  163. Improving the Evaluation and Actionability of Explanation Methods for Multivariate Time Series Classification
  164. Reparameterizable Dual-Resolution Network for Real-time Semantic Segmentation
  165. LightPAL: Lightweight Passage Retrieval for Open Domain Multi-Document Summarization
  166. Accelerating Depthwise Separable Convolutions on Ultra-Low-Power Devices
  167. Adversarial Multi-dueling Bandits
  168. Exploring Intra and Inter-language Consistency in Embeddings with ICA
  169. Fighting Randomness with Randomness: Mitigating Optimisation Instability of Fine-Tuning using Delayed Ensemble and Noisy Interpolation
  170. Adaptive Token Biaser: Knowledge Editing via Biasing Key Entities
  171. RIGL: A Unified Reciprocal Approach for Tracing the Independent and Group Learning Processes
  172. LFMamba: Light Field Image Super-Resolution with State Space Model
  173. HumanSplat: Generalizable Single-Image Human Gaussian Splatting with Structure Priors
  174. Deep-learning-based groupwise registration for motion correction of cardiac T1 mapping
  175. A Neural Column Generation Approach to the Vehicle Routing Problem with Two-Dimensional Loading and Last-In-First-Out Constraints
  176. Insect Identification in the Wild: The AMI Dataset
  177. Automated MRI Quality Assessment of Brain T1-weighted MRI in Clinical Data Warehouses: A Transfer Learning Approach Relying on Artefact Simulation
  178. Adaptive Mean Estimation in the Hidden Markov sub-Gaussian Mixture Model
  179. Cycle-Correspondence Loss: Learning Dense View-Invariant Visual Features from Unlabeled and Unordered RGB Images
  180. Deep self-supervised learning with visualisation for automatic gesture recognition
  181. A data-centric approach for assessing progress of Graph Neural Networks
  182. Federated Learning with Limited Node Labels
  183. Towards Audio Codec-based Speech Separation
  184. MEMS and ECM Sensor Technologies for Cardiorespiratory Sound Monitoring - A Comprehensive Review
  185. Recognition of Dynamic Hand Gestures in Long Distance using a Web-Camera for Robot Guidance
  186. Deep Temporal Deaggregation: Large-Scale Spatio-Temporal Generative Models
  187. Open-Source Web Service with Morphological Dictionary-Supplemented Deep Learning for Morphosyntactic Analysis of Czech
  188. MMUTF: Multimodal Multimedia Event Argument Extraction with Unified Template Filling
  189. AI-Assisted Human Evaluation of Machine Translation
  190. Pushing the Frontier on Approximate EFX Allocations
  191. Community Detection in Networks: A Rough Sets and Consensus Clustering Approach
  192. Translation Equivariant Transformer Neural Processes
  193. LOOC: Localizing Organs using Occupancy Networks and Body Surface Depth Images
  194. Fast Rates for Bandit PAC Multiclass Classification
  195. Scan-to-BIM for As-built Roads: Automatic Road Digital Twinning from Semantically Labeled Point Cloud Data
  196. Flee the Flaw: Annotating the Underlying Logic of Fallacious Arguments Through Templates and Slot-filling
  197. A Cutting-Edge Deep Learning Method For Enhancing IoT Security
  198. QueerBench: Quantifying Discrimination in Language Models Toward Queer Identities
  199. SDNIA-YOLO: A Robust Object Detection Model for Extreme Weather Conditions
  200. EMO-KNOW: A Large Scale Dataset on Emotion and Emotion-cause
  201. Performant ASR Models for Medical Entities in Accented Speech
  202. From Instance Training to Instruction Learning: Task Adapters Generation from Instructions
  203. QOG:Question and Options Generation based on Language Model
  204. Efficient mapping of phase diagrams with conditional Boltzmann Generators
  205. Problem-Solving in Language Model Networks
  206. UAV-based Intelligent Information Systems on Winter Road Safety for Autonomous Vehicles
  207. A Comparative Study of Continuous Sign Language Recognition Techniques
  208. MixDiff: Mixing Natural and Synthetic Images for Robust Self-Supervised Representations
  209. Competitive Learning for Achieving Content-specific Filters in Video Coding for Machines
  210. Structured Prediction in Online Learning
  211. Does Context Help Mitigate Gender Bias in Neural Machine Translation?
  212. Certified ML Object Detection for Surveillance Missions
  213. UrbanLLM: Autonomous Urban Activity Planning and Management with Large Language Models
  214. LiCAF: LiDAR-Camera Asymmetric Fusion for Gait Recognition
  215. Top-Down Bayesian Posterior Sampling for Sum-Product Networks
  216. Encoding Matching Criteria for Cross-domain Deformable Image Registration
  217. Interpreting Bias in Large Language Models: A Feature-Based Approach
  218. Navigating Knowledge Management Implementation Success in Government Organizations: A type-2 fuzzy approach
  219. PARAFAC2-based Coupled Matrix and Tensor Factorizations with Constraints
  220. Investigating Distributions of Telecom Adapted Sentence Embeddings for Document Retrieval
  221. What Did I Do Wrong? Quantifying LLMs' Sensitivity and Consistency to Prompt Engineering
  222. Security and Privacy of 6G Federated Learning-enabled Dynamic Spectrum Sharing
  223. Towards Better Code Understanding in Decoder-Only Models with Contrastive Learning
  224. The Comparative Trap: Pairwise Comparisons Amplifies Biased Preferences of LLM Evaluators
  225. Finding Task-specific Subnetworks in Multi-task Spoken Language Understanding Model
  226. Enhancing Visible-Infrared Person Re-identification with Modality- and Instance-aware Visual Prompt Learning
  227. A Comprehensive Study of Structural Pruning for Vision Models
  228. Mixture of Scales: Memory-Efficient Token-Adaptive Binarization for Large Language Models
  229. COT: A Generative Approach for Hate Speech Counter-Narratives via Contrastive Optimal Transport
  230. IR2QSM: Quantitative Susceptibility Mapping via Deep Neural Networks with Iterative Reverse Concatenations and Recurrent Modules
  231. Research on Dangerous Flight Weather Prediction based on Machine Learning
  232. Faithful Density-Peaks Clustering via Matrix Computations on MPI Parallelization System
  233. Generative Artificial Intelligence-Guided User Studies: An Application for Air Taxi Services
  234. Fast and Slow Generating: An Empirical Study on Large and Small Language Models Collaborative Decoding
  235. Unleashing the Potential of Open-set Noisy Samples Against Label Noise for Medical Image Classification
  236. JEN-1 DreamStyler: Customized Musical Concept Learning via Pivotal Parameters Tuning
  237. Stability of Data-Dependent Ridge-Regularization for Inverse Problems
  238. VIRL: Volume-Informed Representation Learning towards Few-shot Manufacturability Estimation
  239. DASSF: Dynamic-Attention Scale-Sequence Fusion for Aerial Object Detection
  240. SAGDFN: A Scalable Adaptive Graph Diffusion Forecasting Network for Multivariate Time Series Forecasting
  241. What Matters in Memorizing and Recalling Facts? Multifaceted Benchmarks for Knowledge Probing in Language Models
  242. Agriculture-Vision Challenge 2024 -- The Runner-Up Solution for Agricultural Pattern Recognition via Class Balancing and Model Ensemble
  243. Towards a Client-Centered Assessment of LLM Therapists by Client Simulation
  244. Projection Methods for Operator Learning and Universal Approximation
  245. Defending Against Social Engineering Attacks in the Age of LLMs
  246. Investigating Data Usage for Inductive Conformal Predictors
  247. Self-Supervised Time-Series Anomaly Detection Using Learnable Data Augmentation
  248. Adversarial Attacks on Large Language Models in Medicine
  249. Advancing Cross-Domain Generalizability in Face Anti-Spoofing: Insights, Design, and Metrics
  250. Symmetric Multi-Similarity Loss for EPIC-KITCHENS-100 Multi-Instance Retrieval Challenge 2024
  251. Enhancing Single-Slice Segmentation with 3D-to-2D Unpaired Scan Distillation
  252. Language and Multimodal Models in Sports: A Survey of Datasets and Applications
  253. Mitigate Negative Transfer with Similarity Heuristic Lifelong Prompt Tuning
  254. TroL: Traversal of Layers for Large Language and Vision Models
  255. CherryRec: Enhancing News Recommendation Quality via LLM-driven Framework
  256. GMP-AR: Granularity Message Passing and Adaptive Reconciliation for Temporal Hierarchy Forecasting
  257. PFID: Privacy First Inference Delegation Framework for LLMs
  258. SyncVSR: Data-Efficient Visual Speech Recognition with End-to-End Crossmodal Audio Token Synchronization
  259. "You Gotta be a Doctor, Lin": An Investigation of Name-Based Bias of Large Language Models in Employment Recommendations
  260. MCSD: An Efficient Language Model with Diverse Fusion
  261. Spatially Resolved Gene Expression Prediction from Histology via Multi-view Graph Contrastive Learning with HSIC-bottleneck Regularization
  262. Refine Large Language Model Fine-tuning via Instruction Vector
  263. ToxiCloakCN: Evaluating Robustness of Offensive Language Detection in Chinese with Cloaking Perturbations
  264. BadSampler: Harnessing the Power of Catastrophic Forgetting to Poison Byzantine-robust Federated Learning
  265. On-Policy Self-Alignment with Fine-grained Knowledge Feedback for Hallucination Mitigation
  266. Hierarchical Associative Memory, Parallelized MLP-Mixer, and Symmetry Breaking
  267. PCIE_EgoHandPose Solution for EgoExo4D Hand Pose Challenge
  268. Is Your HD Map Constructor Reliable under Sensor Corruptions?
  269. AI-Oracle Machines for Intelligent Computing
  270. PCIE_LAM Solution for Ego4D Looking At Me Challenge
  271. Interface Design for Self-Supervised Speech Models
  272. Knowledge Fusion By Evolving Weights of Language Models
  273. An Optimal Transport Approach for Network Regression
  274. InterIntent: Investigating Social Intelligence of LLMs via Intention Understanding in an Interactive Game Context
  275. SFedCA: Credit Assignment-Based Active Client Selection Strategy for Spiking Federated Learning
  276. Time Series Modeling for Heart Rate Prediction: From ARIMA to Transformers
  277. Quantum Compiling with Reinforcement Learning on a Superconducting Processor
  278. Adaptive Collaborative Correlation Learning-based Semi-Supervised Multi-Label Feature Selection
  279. Unlocking the Potential of Early Epochs: Uncertainty-aware CT Metal Artifact Reduction
  280. The Wisdom of a Crowd of Brains: A Universal Brain Encoder
  281. FCA-RAC: First Cycle Annotated Repetitive Action Counting
  282. Location-based Radiology Report-Guided Semi-supervised Learning for Prostate Cancer Detection
  283. MiSuRe is all you need to explain your image segmentation
  284. Statistical Uncertainty in Word Embeddings: GloVe-V
  285. A Mel Spectrogram Enhancement Paradigm Based on CWT in Speech Synthesis
  286. Discussion Graph Semantics of First-Order Logic with Equality for Reasoning about Discussion and Argumentation
  287. Exploring the Impact of a Transformer's Latent Space Geometry on Downstream Task Performance
  288. LLMs Are Prone to Fallacies in Causal Inference