mlsanityData to 14 Oct 2026

Papers

New on arXiv

Thu 6 Jun 2024

387 papers

  1. Prototypical Reward Network for Data-Efficient RLHFLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
  2. GNNAnatomy: Rethinking Model-Level Explanations for Graph Neural NetworksLLM reasoning → Knowledge- and tool-augmented reasoning
  3. Strategically Conservative Q-LearningOffline RL and imitation learning from data → Offline RL algorithms +1
  4. MambaDepth: Enhancing Long-range Dependency for Self-Supervised Fine-Structured Monocular Depth EstimationState-space sequence models (S4, Mamba) → Vision Mamba backbones
  5. Online Joint Fine-tuning of Multi-Agent FlowsLLM agents and tool use → General LLM agent frameworks and benchmarks
  6. To Distill or Not to Distill? On the Robustness of Robust Knowledge DistillationKnowledge distillation → Speech and audio distillation
  7. Optimizing Autonomous Driving for Safety: A Human-Centric Approach with LLM-Enhanced RLHFEnd-to-end autonomous driving → Large language models for driving +1
  8. PromptFix: Few-shot Backdoor Removal via Adversarial Prompt TuningLLM safety and security → Backdoor and data poisoning attacks
  9. On the Hardness of Probabilistic Neurosymbolic LearningLLM reasoning → Reasoning benchmarks and evaluation
  10. DiffuSyn Bench: Evaluating Vision-Language Models on Real-World Complexities with Diffusion-Generated Synthetic BenchmarksMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
  11. On The Importance of Reasoning for Context Retrieval in Repository-Level Code EditingLLM reasoning → Reasoning for agents, planning and code
  12. RiskMap: A Unified Driving Context Representation for Autonomous Motion Planning in Urban Driving EnvironmentEnd-to-end autonomous driving → End-to-end system architecture
  13. TSCMamba: Mamba Meets Multi-View Learning for Time Series ClassificationState-space sequence models (S4, Mamba) → Time series forecasting with SSMs
  14. Spread Preference Annotation: Direct Preference Judgment for Efficient LLM AlignmentLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
  15. Single Exposure Quantitative Phase Imaging with a Conventional Microscope using Diffusion ModelsDiffusion models → Inverse problems and image restoration
  16. RoboMamba: Efficient Vision-Language-Action Model for Robotic Reasoning and ManipulationVision-language-action models → Generalist VLA models and benchmarks +1
  17. Physics3D: Learning Physical Properties of 3D Gaussians via Video DiffusionDiffusion models → Video generation
  18. Coherent Zero-Shot Visual Instruction GenerationDiffusion models → Image generation, text-to-image and editing
  19. DeepStack: Deeply Stacking Visual Tokens is Surprisingly Simple and Effective for LMMsMultimodal LLMs / vision-language models → Visual token pruning and efficiency
  20. BitsFusion: 1.99 bits Weight Quantization of Diffusion ModelDiffusion models → Diffusion foundations and sampling
  21. Simplified and Generalized Masked Diffusion for Discrete DataDiffusion models → Discrete and text diffusion
  22. SF-V: Single Forward Video Generation ModelDiffusion models → Video generation
  23. ATraDiff: Accelerating Online Reinforcement Learning with Imaginary TrajectoriesDeep reinforcement learning methods → Deep RL algorithms and representations
  24. DIRECT-3D: Learning Direct Text-to-3D Generation on Massive Noisy 3D DataDiffusion models → 3D, point cloud and scene generation
  25. Chimera: Effectively Modeling Multivariate Time Series with 2-Dimensional State Space ModelsState-space sequence models (S4, Mamba) → Time series forecasting with SSMs
  26. Aesthetic Post-Training Diffusion Models from Generic Preferences with Step-by-step Preference OptimizationDiffusion models → Diffusion and flow policies for robotics +1
  27. Improving Alignment and Robustness with Circuit BreakersLLM safety and security → Safety alignment, refusal and guardrails
  28. ReNO: Enhancing One-step Text-to-Image Models through Reward-based Noise OptimizationLLM alignment / RLHF / preference optimisation → Diffusion and multimodal model alignment
  29. Text-to-Drive: Diverse Driving Behavior Synthesis via Large Language ModelsEnd-to-end autonomous driving → Large language models for driving
  30. Everything to the Synthetic: Diffusion-driven Test-time Adaptation via Synthetic-Domain AlignmentDiffusion models → Diffusion foundations and sampling
  31. VideoTetris: Towards Compositional Text-to-Video GenerationDiffusion models → Video generation
  32. Self-Play with Adversarial Critic: Provable and Scalable Offline Alignment for Language ModelsLLM alignment / RLHF / preference optimisation → LLM preference optimization methods +2
  33. Buffer of Thoughts: Thought-Augmented Reasoning with Large Language ModelsLLM reasoning → Prompting and chain-of-thought reasoning
  34. Understanding Information Storage and Transfer in Multi-modal Large Language ModelsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
  35. The CLRS-Text Algorithmic Reasoning Language BenchmarkLLM reasoning → Reasoning benchmarks and evaluation
  36. Multi-Agent Imitation Learning: Value is Easy, Regret is HardOffline RL and imitation learning from data → Imitation learning methods
  37. mCSQA: Multilingual Commonsense Reasoning Dataset with Unified Creation Strategy by Language Models and HumansLLM reasoning → Reasoning benchmarks and evaluation
  38. Aligning Agents like Large Language ModelsLLM agents and tool use → Reinforcement learning for LLM agents
  39. CDMamba: Incorporating Local Clues into Mamba for Remote Sensing Image Binary Change DetectionState-space sequence models (S4, Mamba) → Point clouds, detection and remote sensing
  40. Diffusion-based image inpainting with internal learningDiffusion models → 3D, point cloud and scene generation
  41. DICE: Detecting In-distribution Contamination in LLM's Fine-tuning Phase for Math ReasoningLLM reasoning → Mathematical reasoning
  42. Optimal Rates of Convergence for Entropy Regularization in Discounted Markov Decision ProcessesDeep reinforcement learning methods → RL theory and sample complexity
  43. AgentGym: Evolving Large Language Model-based Agents across Diverse EnvironmentsLLM agents and tool use → General LLM agent frameworks and benchmarks
  44. Multistep Distillation of Diffusion Models via Moment MatchingDiffusion models → Diffusion foundations and sampling
  45. Enhancing Weather Predictions: Super-Resolution via Deep Diffusion ModelsDiffusion models → Flow matching, time series and science
  46. Scaling and evaluating sparse autoencodersMechanistic interpretability → SAE features and their applications
  47. Deterministic Uncertainty Propagation for Improved Model-Based Offline Reinforcement LearningOffline RL and imitation learning from data → Offline RL algorithms
  48. Bootstrapping Expectiles in Reinforcement LearningDeep reinforcement learning methods → RL theory and sample complexity
  49. Federated TrustChain: Blockchain-Enhanced LLM Training and UnlearningLLM safety and security → Federated unlearning and poisoning
  50. ActionReasoningBench: Reasoning about Actions with and without Ramification ConstraintsLLM reasoning → Spatial and embodied reasoning
  51. STEMO: Early Spatio-temporal Forecasting with Multi-Objective Reinforcement LearningDeep reinforcement learning methods → RL for energy, networks and operations
  52. Jailbreak Vision Language Models via Bi-Modal Adversarial PromptMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness +1
  53. Contrastive Sparse Autoencoders for Interpreting Planning of Chess-Playing AgentsMechanistic interpretability → Steering and interpreting LLM reasoning
  54. HackAtari: Atari Learning Environments for Robust and Continual Reinforcement LearningDeep reinforcement learning methods → Deep RL algorithms and representations
  55. AC4MPC: Actor-Critic Reinforcement Learning for Nonlinear Model Predictive ControlDeep reinforcement learning methods → RL for autonomous driving and traffic
  56. A + B: A General Generator-Reader Framework for Optimizing LLMs to Unleash Synergy PotentialRetrieval-augmented generation → RAG pipeline design and evaluation
  57. Exploring Distortion Prior with Latent Diffusion Models for Remote Sensing Image CompressionDiffusion models → Inverse problems and image restoration
  58. Breeding Programs Optimization with Reinforcement LearningDeep reinforcement learning methods → RL for energy, networks and operations
  59. GenSafe: A Generalizable Safety Enhancer for Safe Reinforcement Learning Algorithms Based on Reduced Order Markov Decision Process ModelDeep reinforcement learning methods → Safe and constrained RL
  60. Exploring the Zero-Shot Capabilities of Vision-Language Models for Improving Gaze FollowingMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
  61. Transductive Off-policy Proximal Policy OptimizationDeep reinforcement learning methods → RL theory and sample complexity
  62. Improving Actor-Critic Training with Steerable Action-Value Approximation ErrorsDeep reinforcement learning methods → RL theory and sample complexity
  63. Bench2Drive: Towards Multi-Ability Benchmarking of Closed-Loop End-To-End Autonomous DrivingEnd-to-end autonomous driving → End-to-end system architecture
  64. Robust Deep Reinforcement Learning against Adversarial Behavior ManipulationDeep reinforcement learning methods → Adversarial robustness and RL in finance
  65. Speculative Decoding via Early-exiting for Faster LLM Inference with Thompson Sampling Control MechanismEfficient LLM inference and serving → Speculative decoding
  66. POEM: Interactive Prompt Optimization for Enhancing Multimodal Reasoning of Large Language ModelsLLM reasoning → Multimodal reasoning
  67. ReST-MCTS*: LLM Self-Training via Process Reward Guided Tree SearchLLM reasoning → Reinforcement learning for reasoning +2
  68. How does Inverse RL Scale to Large State Spaces? A Provably Efficient ApproachOffline RL and imitation learning from data → Inverse reinforcement learning +1
  69. Tool-Planner: Task Planning with Clusters across Multiple ToolsLLM reasoning → Reasoning for agents, planning and code +1
  70. AutoJailbreak: Exploring Jailbreak Attacks and Defenses through a Dependency LensLLM safety and security → Jailbreaking
  71. End-to-End Trainable Retrieval-Augmented Generation for Relation ExtractionRetrieval-augmented generation → RAG pipeline design and evaluation
  72. VisTR: Visualizations as Representations for Time-series Table ReasoningLLM reasoning → Time series reasoning
  73. Efficient Knowledge Infusion via KG-LLM AlignmentLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
  74. ReDistill: Residual Encoded Distillation for Peak Memory Reduction of CNNsDiffusion models → Diffusion foundations and sampling +1
  75. Your Absorbing Discrete Diffusion Secretly Models the Conditional Distributions of Clean DataDiffusion models → Discrete and text diffusion
  76. Phase-Amplitude Reduction-Based Imitation LearningOffline RL and imitation learning from data → Imitation learning methods
  77. Policy Gradient Methods for the Cost-Constrained LQR: Strong Duality and Global ConvergenceDeep reinforcement learning methods → RL for games and combinatorial optimization
  78. LLMEmbed: Rethinking Lightweight LLM's Genuine Function in Text ClassificationLLM reasoning → Reasoning benchmarks and evaluation
  79. JIGMARK: A Black-Box Approach for Enhancing Image Watermarks against Diffusion Model EditsDiffusion models → Robustness, privacy and adversarial aspects +1
  80. Pi-fusion: Physics-informed diffusion model for learning fluid dynamicsDiffusion models → Flow matching, time series and science
  81. Excluding the Irrelevant: Focusing Reinforcement Learning through Continuous Action MaskingDeep reinforcement learning methods → Deep RL algorithms and representations
  82. Evaluating the World Model Implicit in a Generative ModelWorld models → World models for language agents
  83. BindGPT: A Scalable Framework for 3D Molecular Design via Language Modeling and Reinforcement LearningDeep reinforcement learning methods → RL for energy, networks and operations
  84. Bayesian Power Steering: An Effective Approach for Domain Adaptation of Diffusion ModelsDiffusion models → Diffusion foundations and sampling
  85. On the Effects of Data Scale on UI Control AgentsLLM agents and tool use → GUI and mobile agents
  86. Reflective Policy OptimizationDeep reinforcement learning methods → RL theory and sample complexity
  87. Towards Dynamic Trend Filtering through Trend Point Detection with Reinforcement LearningDeep reinforcement learning methods → Deep RL algorithms and representations
  88. The Missing Curve Detectors of InceptionV1: Applying Sparse Autoencoders to InceptionV1 Early VisionMechanistic interpretability → Sparse autoencoder training and evaluation
  89. Inspired by AI? A Novel Generative AI System To Assist Conceptual Automotive Design
  90. Digital twins in sport: Concepts, Taxonomies, Challenges and Practical Potentials
  91. CIRCUITSYNTH: Leveraging Large Language Models for Circuit Topology Synthesis
  92. Physics-Informed Neural Network based inverse framework for time-fractional differential equations for rheology
  93. Spectral Toolkit of Algorithms for Graphs: Technical Report (2)
  94. Real-Time Spacecraft Pose Estimation Using Mixed-Precision Quantized Neural Network on COTS Reconfigurable MPSoC
  95. Chebyshev Spectral Neural Networks for Solving Partial Differential Equations
  96. Effective Context Selection in LLM-based Leaderboard Generation: An Empirical Study
  97. Nomic Embed Vision: Expanding the Latent Space
  98. Cut-and-Paste with Precision: a Content and Perspective-aware Data Augmentation for Road Damage Detection
  99. Flexible ViG: Learning the Self-Saliency for Flexible Object Recognition
  100. Assessment of Sentinel-2 spatial and temporal coverage based on the scene classification layer
All 387
  1. Evaluating the Influence of Temporal Context on Automatic Mouse Sleep Staging through the Application of Human Models
  2. Deep Vision-Based Framework for Coastal Flood Prediction Under Climate Change Impacts and Shoreline Adaptations
  3. Deep-Learning Approach for Tissue Classification using Acoustic Waves during Ablation with an Er:YAG Laser (Updated)
  4. GLINT-RU: Gated Lightweight Intelligent Recurrent Units for Sequential Recommender Systems
  5. SEE-2-SOUND: Zero-Shot Spatial Environment-to-Spatial Sound
  6. Building Hybrid B-Spline And Neural Network Operators
  7. Reinterpreting 'the Company a Word Keeps': Towards Explainable and Ontologically Grounded Language Models
  8. Mitigating Bias in Dataset Distillation
  9. The Prompt Report: A Systematic Survey of Prompt Engineering Techniques
  10. Continuous Test-time Domain Adaptation for Efficient Fault Detection under Evolving Operating Conditions
  11. FPN-fusion: Enhanced Linear Complexity Time Series Forecasting Model
  12. Modeling of New Energy Vehicles' Impact on Urban Ecology Focusing on Behavior
  13. A Human-in-the-Loop Approach to Improving Cross-Text Prosody Transfer
  14. HORAE: A Domain-Agnostic Language for Automated Service Regulation
  15. Anna Karenina Strikes Again: Pre-Trained LLM Embeddings May Favor High-Performing Learners
  16. Qabas: An Open-Source Arabic Lexicographic Database
  17. 1-D CNN-Based Online Signature Verification with Federated Learning
  18. Are Large Language Models the New Interface for Data Pipelines?
  19. Beyond 5G Network Failure Classification for Network Digital Twin Using Graph Neural Network
  20. Stock Movement Prediction with Multimodal Stable Fusion via Gated Cross-Attention Mechanism
  21. Differentiable Combinatorial Scheduling at Scale
  22. Better Late Than Never: Formulating and Benchmarking Recommendation Editing
  23. Improving Geo-diversity of Generated Images with Contextualized Vendi Score Guidance
  24. Concurrent Training and Layer Pruning of Deep Neural Networks
  25. FOOD: Facial Authentication and Out-of-Distribution Detection with Short-Range FMCW Radar
  26. M&M VTO: Multi-Garment Virtual Try-On and Editing
  27. Label-Synchronous Neural Transducer for E2E Simultaneous Speech Translation
  28. Tangent differential privacy
  29. Rare Class Prediction Model for Smart Industry in Semiconductor Manufacturing
  30. llmNER: (Zero|Few)-Shot Named Entity Recognition, Exploiting the Power of Large Language Models
  31. Generative Assignment Flows for Representing and Learning Joint Distributions of Discrete Data
  32. Proofread: Fixes All Errors with One Tap
  33. NATURAL PLAN: Benchmarking LLMs on Natural Language Planning
  34. Multifidelity digital twin for real-time monitoring of structural dynamics in aquaculture net cages
  35. Classification of Non-native Handwritten Characters Using Convolutional Neural Network
  36. OCCAM: Towards Cost-Efficient and Accuracy-Aware Classification Inference
  37. Enhancing Precision in Tactile Internet-Enabled Remote Robotic Surgery: Kalman Filter Approach
  38. FLUID-LLM: Learning Computational Fluid Dynamics with Spatiotemporal-aware Large Language Models
  39. Time Sensitive Knowledge Editing through Efficient Finetuning
  40. ReceiptSense: Beyond Traditional OCR -- A Dataset for Receipt Understanding
  41. User Intent Recognition and Semantic Cache Optimization-Based Query Processing Framework using CFLIS and MGR-LAU
  42. Negative Feedback for Music Personalization
  43. A multi-core periphery perspective: Ranking via relative centrality
  44. GenAI Arena: An Open Evaluation Platform for Generative Models
  45. Step Out and Seek Around: On Warm-Start Training with Incremental Data
  46. Automatic Bug Detection in LLM-Powered Text-Based Games Using LLMs
  47. Provable Bounds on the Hessian of Neural Networks: Derivative-Preserving Reachability Analysis
  48. Small-E: Small Language Model with Linear Attention for Efficient Speech Synthesis
  49. Multi-Label Classification for Implicit Discourse Relation Recognition
  50. Evaluating the Smooth Control of Attribute Intensity in Text Generation with LLMs
  51. Learning Optimal Linear Precoding for Cell-Free Massive MIMO with GNN
  52. MAIRA-2: Grounded Radiology Report Generation
  53. Can Language Models Use Forecasting Strategies?
  54. Clipping Improves Adam-Norm and AdaGrad-Norm when the Noise Is Heavy-Tailed
  55. TexIm FAST: Text-to-Image Representation for Semantic Similarity Evaluation using Transformers
  56. LipGER: Visually-Conditioned Generative Error Correction for Robust Automatic Speech Recognition
  57. MoralBench: Moral Evaluation of LLMs
  58. DeTra: A Unified Model for Object Detection and Trajectory Forecasting
  59. On Regularization via Early Stopping for Least Squares Regression
  60. Improving Model Chain Approaches for Probabilistic Solar Energy Forecasting through Post-processing and Machine Learning
  61. Enhancing Supervised Visualization through Autoencoder and Random Forest Proximities for Out-of-Sample Extension
  62. Efficient 3D-Aware Facial Image Editing via Attribute-Specific Prompt Learning
  63. Why Has Predicting Downstream Capabilities of Frontier AI Models with Scale Remained Elusive?
  64. Innovations in Cover Song Detection: A Lyrics-Based Approach
  65. Exploring the Latest LLMs for Leaderboard Extraction
  66. Improving the Fairness of Deep-Learning, Short-term Crime Prediction with Under-reporting-aware Models
  67. VHDL-Eval: A Framework for Evaluating Large Language Models in VHDL Code Generation
  68. Active Stereo in the Wild through Virtual Pattern Projection
  69. Verbalized Machine Learning: Revisiting Machine Learning with Language Models
  70. Flash3D: Feed-Forward Generalisable 3D Scene Reconstruction from a Single Image
  71. Learning 1D Causal Visual Representation with De-focus Attention Networks
  72. Interpreting the Second-Order Effects of Neurons in CLIP
  73. GLACE: Global Local Accelerated Coordinate Encoding
  74. On the Expressive Power of Spectral Invariant Graph Neural Networks
  75. Coarse-To-Fine Tensor Trains for Compact Visual Representations
  76. PaCE: Parsimonious Concept Engineering for Large Language Models
  77. Parameter-Inverted Image Pyramid Networks
  78. The Brain's Bitter Lesson: Scaling Speech Decoding With Self-Supervised Learning
  79. Causal Estimation of Memorisation Profiles
  80. ShareGPT4Video: Improving Video Understanding and Generation with Better Captions
  81. VidMuse: A Simple Video-to-Music Generation Framework with Long-Short-Term Modeling
  82. Adaptive Sampling of k-Space in Magnetic Resonance for Rapid Pathology Prediction
  83. Regularized KL-Divergence for Well-Defined Function-Space Variational Inference in Bayesian neural networks
  84. Omni6DPose: A Benchmark and Model for Universal 6D Object Pose Estimation and Tracking
  85. ReFiNe: Recursive Field Networks for Cross-modal Multi-scene Representation
  86. Approximation-Aware Bayesian Optimization
  87. Improving Uncertainty Estimation through Semantically Diverse Language Generation
  88. Vision-LSTM: xLSTM as Generic Vision Backbone
  89. Representational Alignment Supports Effective Machine Teaching
  90. Neural Surface Reconstruction from Sparse Views Using Epipolar Geometry
  91. NoisyGL: A Comprehensive Benchmark for Graph Neural Networks under Label Noise
  92. Measuring and Addressing Indexical Bias in Information Retrieval
  93. VISTA: Visualized Text Embedding For Universal Multi-Modal Retrieval
  94. Stratified Prediction-Powered Inference for Hybrid Language Model Evaluation
  95. What Languages are Easy to Language-Model? A Perspective from Learning Probabilistic Regular Languages
  96. SpectralZoom: Efficient Segmentation with an Adaptive Hyperspectral Camera
  97. ABEX: Data Augmentation for Low-Resource NLU via Expanding Abstract Descriptions
  98. What is Dataset Distillation Learning?
  99. xMIL: Insightful Explanations for Multiple Instance Learning in Histopathology
  100. Characterizing Similarities and Divergences in Conversational Tones in Humans and LLMs by Sampling with People
  101. Generative AI-in-the-loop: Integrating LLMs and GPTs into the Next Generation Networks
  102. ELFS: Label-Free Coreset Selection with Proxy Training Dynamics
  103. Open-Endedness is Essential for Artificial Superhuman Intelligence
  104. Transformers need glasses! Information over-squashing in language tasks
  105. MLVU: Benchmarking Multi-task Long Video Understanding
  106. Simulating, Fast and Slow: Learning Policies for Black-Box Optimization
  107. Data Measurements for Decentralized Data Markets
  108. GeoGen: Geometry-Aware Generative Modeling via Signed Distance Functions
  109. A Survey on 3D Human Avatar Modeling -- From Reconstruction to Generation
  110. Improving Gaussian Splatting with Localized Points Management
  111. Online learning of quantum processes
  112. Conv-INR: Convolutional Implicit Neural Representation for Multimodal Visual Signals
  113. Online learning of a panoply of quantum objects
  114. Benchmark Data Contamination of Large Language Models: A Survey
  115. Hypernetworks for Personalizing ASR to Atypical Speech
  116. Solving Inverse Problems in Protein Space Using Diffusion-Based Priors
  117. FairytaleQA Translated: Enabling Educational Question and Answer Generation in Less-Resourced Languages
  118. Quantifying Misalignment Between Agents: Towards a Sociotechnical Understanding of Alignment
  119. M3LEO: A Multi-Modal, Multi-Label Earth Observation Dataset Integrating Interferometric SAR and Multispectral Data
  120. R-CONV: An Analytical Approach for Efficient Data Reconstruction via Convolutional Gradients
  121. Matching Anything by Segmenting Anything
  122. BEADs: Bias Evaluation Across Domains
  123. Linguistic Steganalysis via LLMs: Two Modes for Efficient Detection of Strongly Concealed Stego
  124. What Do Language Models Learn in Context? The Structured Task Hypothesis
  125. ValueBench: Towards Comprehensively Evaluating Value Orientations and Understanding of Large Language Models
  126. Legal Documents Drafting with Fine-Tuned Pre-Trained Large Language Model
  127. Securing Equal Share: A Principled Approach for Learning Multiplayer Symmetric Games
  128. Shield Synthesis for LTL Modulo Theories
  129. Encoding Semantic Priors into the Weights of Implicit Neural Representation
  130. A Voxel-based Approach for Simulating Microbial Decomposition in Soil: Comparison with LBM and Improvement of Morphological Models
  131. Confabulation: The Surprising Value of Large Language Model Hallucinations
  132. Element-wise Multiplication Based Deeper Physics-Informed Neural Networks
  133. Repurposing Language Models into Embedding Models: Finding the Compute-Optimal Recipe
  134. Deep Learning-based Cross-modal Reconstruction of Vehicle Target from Sparse 3D SAR Image
  135. Pointer-Guided Pre-Training: Infusing Large Language Models with Paragraph-Level Contextual Awareness
  136. Improving Physics-Augmented Continuum Neural Radiance Field-Based Geometry-Agnostic System Identification with Lagrangian Particle Optimization
  137. Learned Feature Importance Scores for Automated Feature Engineering
  138. A novel robust meta-analysis model using the t distribution for outlier accommodation and detection
  139. Characterizing segregation in blast rock piles a deep-learning approach leveraging aerial image analysis
  140. Fast Redescription Mining Using Locality-Sensitive Hashing
  141. Towards Understanding Task-agnostic Debiasing Through the Lenses of Intrinsic Bias and Forgetfulness
  142. Every Answer Matters: Evaluating Commonsense with Probabilistic Measures
  143. Redundancy-aware Action Spaces for Robot Learning
  144. Do Language Models Understand Morality? Towards a Robust Detection of Moral Content
  145. Stochastic Polyak Step-sizes and Momentum: Convergence Guarantees and Practical Performance
  146. The 3D-PC: a benchmark for visual perspective taking in humans and machines
  147. Optimal Batched Linear Bandits
  148. Legal Judgment Reimagined: PredEx and the Rise of Intelligent AI Interpretation in Indian Courts
  149. LenslessFace: An End-to-End Optimized Lensless System for Privacy-Preserving Face Verification
  150. Are We Done with MMLU?
  151. Promoting the Responsible Development of Speech Datasets for Mental Health and Neurological Disorders Research
  152. Global Parameterization-based Texture Space Optimization
  153. Uncovering Limitations of Large Language Models in Information Seeking from Tables
  154. Compressible Dynamics in Deep Overparameterized Low-Rank Learning & Adaptation
  155. UrbanSARFloods: Sentinel-1 SLC-Based Benchmark Dataset for Urban and Open-Area Flood Mapping
  156. Intention and Face in Dialog
  157. Explainability and Hate Speech: Structured Explanations Make Social Media Moderators Faster
  158. From Tissue Plane to Organ World: A Benchmark Dataset for Multimodal Biomedical Image Registration using Deep Co-Attention Networks
  159. How Far Can We Compress Instant-NGP-Based NeRF?
  160. Class-Aware Cartilage Segmentation for Autonomous US-CT Registration in Robotic Intercostal Ultrasound Imaging
  161. A Large-Scale Neutral Comparison Study of Survival Models on Low-Dimensional Data
  162. Interpretable Lightweight Transformer via Unrolling of Learned Graph Smoothness Priors
  163. On Limitation of Transformer for Learning HMMs
  164. Discovering the curriculum with AI: A proof-of-concept demonstration with an intelligent tutoring system for teaching project selection
  165. Dynamic angular synchronization under smoothness constraints
  166. Batch-in-Batch: a new adversarial training framework for initial perturbation and sample selection
  167. Reassessing How to Compare and Improve the Calibration of Machine Learning Models
  168. Ask LLMs Directly, "What shapes your bias?": Measuring Social Bias in Large Language Models
  169. Bisimulation Metrics are Optimal Transport Distances, and Can be Computed Efficiently
  170. Leveraging SPD Matrices on Riemannian Manifolds in Quantum Classical Hybrid Models for Structural Health Monitoring
  171. Multivector Neurons: Better and Faster O(n)-Equivariant Clifford Graph Neural Networks
  172. Semmeldetector: Application of Machine Learning in Commercial Bakeries
  173. Slicing Mutual Information Generalization Bounds for Neural Networks
  174. Energy-based Epistemic Uncertainty for Graph Neural Networks
  175. Linear Opinion Pooling for Uncertainty Quantification on Graphs
  176. Shaping History: Advanced Machine Learning Techniques for the Analysis and Dating of Cuneiform Tablets over Three Millennia
  177. Road Network Representation Learning with the Third Law of Geography
  178. Zero-Painter: Training-Free Layout Control for Text-to-Image Synthesis
  179. Pre-trained Transformer Uncovers Meaningful Patterns in Human Mobility Data
  180. The syntax-semantics interface in a child's path: A study of 3- to 11-year-olds' elicited production of Mandarin recursive relative clauses
  181. American Sign Language Handshapes Reflect Pressures for Communicative Efficiency
  182. Theoretical Guarantees for Variational Inference with Fixed-Variance Mixture of Gaussians
  183. 3rd Place Solution for PVUW Challenge 2024: Video Panoptic Segmentation
  184. Unveiling the Dynamics of Information Interplay in Supervised Learning
  185. Assessing LLMs for Zero-shot Abstractive Summarization Through the Lens of Relevance Paraphrasing
  186. On The Persona-based Summarization of Domain-Specific Documents
  187. LNQ Challenge 2023: Learning Mediastinal Lymph Node Segmentation with a Probabilistic Lymph Node Atlas
  188. Position: Embracing Negative Results in Machine Learning
  189. Mini Honor of Kings: A Lightweight Environment for Multi-Agent Reinforcement Learning
  190. Tox-BART: Leveraging Toxicity Attributes for Explanation Generation of Implicit Hate Speech
  191. UltraMedical: Building Specialized Generalists in Biomedicine
  192. Weight-based Decomposition: A Case for Bilinear MLPs
  193. A Probabilistic Approach to Learning the Degree of Equivariance in Steerable CNNs
  194. Provably Neural Active Learning Succeeds via Prioritizing Perplexing Samples
  195. Culturally Aware and Adapted NLP: A Taxonomy and a Survey of the State of the Art
  196. Statistical Multicriteria Benchmarking via the GSD-Front
  197. Latent Neural Operator for Solving Forward and Inverse PDE Problems
  198. Towards Physically Consistent Deep Learning For Climate Model Parameterizations
  199. Vectorized Conditional Neural Fields: A Framework for Solving Time-dependent Parametric Partial Differential Equations
  200. Frequency-based Matcher for Long-tailed Semantic Segmentation
  201. ArMeme: Propagandistic Content in Arabic Memes
  202. Neuro-Symbolic Temporal Point Processes
  203. Data-Centric Label Smoothing for Explainable Glaucoma Screening from Eye Fundus Images
  204. C^2RV: Cross-Regional and Cross-View Learning for Sparse-View CBCT Reconstruction
  205. Polyp and Surgical Instrument Segmentation with Double Encoder-Decoder Networks
  206. HeSum: a Novel Dataset for Abstractive Text Summarization in Hebrew
  207. Data-driven discovery of self-similarity using neural networks
  208. How Good is Zero-Shot MT Evaluation for Low Resource Indian Languages?
  209. Polyhedral Conic Classifier for CTR Prediction
  210. BiomedBench: A benchmark suite of TinyML biomedical applications for low-power wearables
  211. Spontaneous Speech-Based Suicide Risk Detection Using Whisper and Large Language Models
  212. Evaluating the IWSLT2023 Speech Translation Tasks: Human Annotations, Automatic Metrics, and Segmentation
  213. Memorization in deep learning: A survey
  214. Decay Pruning Method: Smooth Pruning With a Self-Rectifying Procedure
  215. Decoder-only Streaming Transformer for Simultaneous Translation
  216. Quantum Implicit Neural Representations
  217. BLSP-Emo: Towards Empathetic Large Speech-Language Models
  218. Recovering document annotations for sentence-level bitext
  219. LLplace: The 3D Indoor Scene Layout Generation and Editing via Large Language Model
  220. Semantic Similarity Score for Measuring Visual Similarity at Semantic Level
  221. PairNet: Training with Observed Pairs to Estimate Individual Treatment Effect
  222. From operculum and body tail movements to different coupling of physical activity and respiratory frequency in farmed gilthead sea bream and European sea bass. Insights on aquaculture biosensing
  223. MuJo: Multimodal Joint Feature Space Learning for Human Activity Recognition
  224. Performance of large language models in numerical vs. semantic medical knowledge: Benchmarking on evidence-based Q&As
  225. Why the Metric Backbone Preserves Community Structure
  226. A Noise-robust Multi-head Attention Mechanism for Formation Resistivity Prediction: Frequency Aware LSTM
  227. Ocean Wave Forecasting with Deep Learning as Alternative to Conventional Models
  228. Lean Workbook: A large-scale Lean problem set formalized from natural language math problems
  229. Open Problem: Active Representation Learning
  230. Proactive Detection of Physical Inter-rule Vulnerabilities in IoT Services Using a Deep Learning Approach
  231. Monocular Localization with Semantics Map for Autonomous Vehicles
  232. Talos: A More Effective and Efficient Adversarial Defense for GNN Models Based on the Global Homophily of Graphs
  233. Chaos with Keywords: Exposing Large Language Models Sycophantic Hallucination to Misleading Keywords and Evaluating Defense Strategies
  234. Predictability Analysis of Regression Problems via Conditional Entropy Estimations
  235. A Survey on Intelligent Internet of Things: Applications, Security, Privacy, and Future Directions
  236. Subspace Clustering in Wavelet Packets Domain
  237. Amortized Equation Discovery in Hybrid Dynamical Systems
  238. Improving Zero-Shot Chinese-English Code-Switching ASR with kNN-CTC and Gated Monolingual Datastores
  239. Spherinator and HiPSter: Representation Learning for Unbiased Knowledge Discovery from Simulations
  240. Cross-variable Linear Integrated ENhanced Transformer for Photovoltaic power forecasting
  241. Enhanced Semantic Segmentation Pipeline for WeatherProof Dataset Challenge
  242. Infusing Self-Consistency into Density Functional Theory Hamiltonian Prediction via Deep Equilibrium Models
  243. Low-Rank Similarity Mining for Multimodal Dataset Distillation
  244. Light-PEFT: Lightening Parameter-Efficient Fine-Tuning via Early Pruning
  245. Speed of Light Exact Greedy Decoding for RNN-T Speech Recognition Models on GPU
  246. Enhancing Graph U-Nets for Mesh-Agnostic Spatio-Temporal Flow Prediction
  247. Projection-Free Variance Reduction Methods for Stochastic Constrained Multi-Level Compositional Optimization
  248. Empirical Guidelines for Deploying LLMs onto Resource-constrained Edge Devices
  249. XL-HeadTags: Leveraging Multimodal Retrieval Augmentation for the Multilingual Generation of News Headlines and Tags
  250. Character-Level Chinese Dependency Parsing via Modeling Latent Intra-Word Structure
  251. DeepRacer on Physical Track: Parameters Exploration and Performance Evaluation
  252. Enhancing In-Context Learning Performance with just SVD-Based Weight Pruning: A Theoretical Perspective
  253. Privacy Preserving Semi-Decentralized Mean Estimation over Intermittently-Connected Networks
  254. RoboCoder: Robotic Learning from Basic Skills to General Tasks with Large Language Models
  255. Adaptive Multi-Scale Decomposition Framework for Time Series Forecasting
  256. NAP^2: A Benchmark for Naturalness and Privacy-Preserving Text Rewriting by Learning from Human
  257. OralBBNet: Spatially Guided Dental Segmentation of Panoramic X-Rays with Bounding Box Priors
  258. Credit Card Fraud Detection Using Advanced Transformer Model
  259. Quality-Diversity with Limited Resources
  260. FastGAS: Fast Graph-based Annotation Selection for In-Context Learning
  261. Enhancing Sign Language Detection through Mediapipe and Convolutional Neural Networks (CNN)
  262. Evaluating Durability: Benchmark Insights into Multimodal Watermarking
  263. Efficient Graph Encoder Embedding for Large Sparse Graphs in Python
  264. Gear-NeRF: Free-Viewpoint Rendering and Tracking with Motion-aware Spatio-Temporal Sampling
  265. Offline Multi-Objective Optimization
  266. Attribute-Aware Implicit Modality Alignment for Text Attribute Person Search
  267. Generalization-Enhanced Code Vulnerability Detection via Multi-Task Instruction Fine-Tuning
  268. A Survey on Medical Large Language Models: Technology, Application, Trustworthiness, and Future Directions
  269. TwinS: Revisiting Non-Stationarity in Multivariate Time Series Forecasting
  270. What Should Embeddings Embed? Autoregressive Models Represent Latent Generating Distributions
  271. Improving Audio Codec-based Zero-Shot Text-to-Speech Synthesis with Multi-Modal Context and Large Language Model
  272. Synthesizing Conversations from Unlabeled Documents using Automatic Response Segmentation
  273. DSNet: A Novel Way to Use Atrous Convolutions in Semantic Segmentation
  274. M-QALM: A Benchmark to Assess Clinical Reading Comprehension and Knowledge Recall in Large Language Models via Question Answering
  275. Superpoint Gaussian Splatting for Real-Time High-Fidelity Dynamic Scene Reconstruction
  276. Error dynamics of mini-batch gradient descent with random reshuffling for least squares regression
  277. Untrained Neural Nets for Snapshot Compressive Imaging: Theory and Algorithms
  278. Shadow and Light: Digitally Reconstructed Radiographs for Disease Classification
  279. Principles of Designing Robust Remote Face Anti-Spoofing Systems
  280. A Universal Class of Sharpness-Aware Minimization Algorithms
  281. Meta-learning for Positive-unlabeled Classification
  282. Learning Safe Strategies for Value Maximizing Buyers in Uniform Price Auctions
  283. Linguistically Conditioned Semantic Textual Similarity
  284. PANDA: Expanded Width-Aware Message Passing Beyond Rewiring
  285. 3rd Place Solution for MOSE Track in CVPR 2024 PVUW workshop: Complex Video Object Segmentation
  286. What Makes Language Models Good-enough?
  287. A Hybrid Deep Learning Classification of Perimetric Glaucoma Using Peripapillary Nerve Fiber Layer Reflectance and Other OCT Parameters from Three Anatomy Regions