mlsanityData to 7 Oct 2026

Papers

New on arXiv

Mon 21 Oct 2024

436 papers

  1. Combining Theory of Mind and Kindness for Self-Supervised Human-AI AlignmentLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
  2. Towards More Accurate US Presidential Election via Multi-step Reasoning with Large Language ModelsLLM reasoning → Reasoning benchmarks and evaluation
  3. Evaluating the Posterior Sampling Ability of Plug&Play Diffusion Methods in Sparse-View CTDiffusion models → Medical imaging and segmentation
  4. R2Gen-Mamba: A Selective State Space Model for Radiology Report GenerationState-space sequence models (S4, Mamba) → Mamba for medical image analysis
  5. A Theoretical Understanding of Chain-of-Thought: Coherent Reasoning and Error-Aware DemonstrationLLM reasoning → Prompting and chain-of-thought reasoning
  6. SoftSRV: Learn to Generate Targeted Synthetic DataSynthetic data and self-improvement for LLMs → LLM synthetic data generation
  7. Bayesian scaling laws for in-context learningLLM safety and security → Jailbreaking
  8. Insights and Current Gaps in Open-Source LLM Vulnerability Scanners: A Comparative AnalysisLLM safety and security → Jailbreaking
  9. Scalability of memorization-based machine unlearningLLM safety and security → Machine unlearning
  10. RULEBREAKERS: Challenging LLMs at the Crossroads between Formal Logic and Human-like ReasoningLLM reasoning → Reasoning benchmarks and evaluation
  11. DocEdit-v2: Document Structure Editing Via Multimodal LLM GroundingMultimodal LLMs / vision-language models → Document understanding and multimodal RAG
  12. Beyond Browsing: API-Based Web AgentsLLM agents and tool use → Web, search, and research agents
  13. Catastrophic Failure of LLM Unlearning via QuantizationLLM safety and security → Machine unlearning
  14. On conditional diffusion models for PDE simulationsDiffusion models → Flow matching, time series and science
  15. VipAct: Visual-Perception Enhancement via Specialized VLM Agent Collaboration and Tool-useMultimodal LLMs / vision-language models → Embodied and 3D vision-language models +1
  16. xGen-MM-Vid (BLIP-3-Video): You Only Need 32 Tokens to Represent a Video Even in VLMsMultimodal LLMs / vision-language models → Video understanding with MLLMs
  17. 3DGS-Enhancer: Enhancing Unbounded 3D Gaussian Splatting with View-consistent 2D Diffusion PriorsDiffusion models → 3D, point cloud and scene generation
  18. Mini-InternVL: A Flexible-Transfer Pocket Multimodal Model with 5% Parameters and 90% PerformanceMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
  19. IBGP: Imperfect Byzantine Generals Problem for Zero-Shot Robustness in Communicative Multi-Agent SystemsLLM agents and tool use → General LLM agent frameworks and benchmarks
  20. LLaVA-KD: A Framework of Distilling Multimodal Large Language ModelsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
  21. ToW: Thoughts of Words Improve Reasoning in Large Language ModelsLLM reasoning → Test-time compute and efficient thinking
  22. Sketch2Code: Evaluating Vision-Language Models for Interactive Web Design PrototypingMultimodal LLMs / vision-language models → Chart understanding and anomaly detection
  23. Building A Coding Assistant via the Retrieval-Augmented Language ModelRetrieval-augmented generation → RAG for code
  24. An Interpretable N-gram Perplexity Threat Model for Large Language Model JailbreaksLLM safety and security → Jailbreaking
  25. CoT-TL: Low-Resource Temporal Knowledge Representation of Planning Instructions Using Chain-of-Thought ReasoningLLM reasoning → Reasoning for agents, planning and code
  26. Improve Vision Language Model Chain-of-thought ReasoningLLM reasoning → Multimodal reasoning +1
  27. LASER: Script Execution by Autonomous Agents for On-demand Traffic SimulationLLM agents and tool use → Multimodal and embodied agents
  28. RM-Bench: Benchmarking Reward Models of Language Models with Subtlety and StyleLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
  29. Beyond Filtering: Adaptive Image-Text Quality Enhancement for MLLM PretrainingMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
  30. Griffon-G: Bridging Vision-Language and Vision-Centric Tasks via Large Multimodal ModelsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
  31. Sparkle: Mastering Basic Spatial Capabilities in Vision Language Models Elicits Generalization to Spatial ReasoningLLM reasoning → Spatial and embodied reasoning +1
  32. A Troublemaker with Contagious Jailbreak Makes Chaos in Honest TownsLLM safety and security → Jailbreaking
  33. Pangea: A Fully Open Multilingual Multimodal LLM for 39 LanguagesMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
  34. Warped Diffusion: Solving Video Inverse Problems with Image Diffusion ModelsDiffusion models → Inverse problems and image restoration
  35. Can Large Audio-Language Models Truly Hear? Tackling Hallucinations with Multi-Task Assessment and Stepwise Audio ReasoningLLM reasoning → Audio-language model reasoning
  36. SMART: Self-learning Meta-strategy Agent for Reasoning TasksLLM reasoning → Reasoning for agents, planning and code +1
  37. SeaDAG: Semi-autoregressive Diffusion for Conditional Directed Acyclic Graph GenerationDiffusion models → Flow matching, time series and science
  38. LMHaze: Intensity-aware Image Dehazing with a Large-scale Multi-intensity Real Haze DatasetState-space sequence models (S4, Mamba) → Mamba for image restoration
  39. CartesianMoE: Boosting Knowledge Sharing among Experts via Cartesian Product Routing in Mixture-of-ExpertsMixture-of-experts → MoE large language models
  40. Speech Synthesis From Continuous Features Using Per-Token Latent DiffusionDiffusion models → Audio, speech and music
  41. ComPO: Community Preferences for Language Model PersonalizationLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
  42. START: A Generalized State Space Model with Saliency-Driven Token-Aware TransformationState-space sequence models (S4, Mamba) → Vision Mamba backbones
  43. ARCADE: Scalable Demonstration Collection and Generation via Augmented Reality for Imitation LearningOffline RL and imitation learning from data → Robot manipulation imitation learning
  44. Analyzing Closed-loop Training Techniques for Realistic Traffic Agent Models in Autonomous Highway Driving SimulationsEnd-to-end autonomous driving → Imitation-learning end-to-end planners
  45. Diffusion Transformer PolicyVision-language-action models → Efficient VLA inference and adaptation +1
  46. CamI2V: Camera-Controlled Image-to-Video Diffusion ModelDiffusion models → Video generation
  47. Developing Retrieval Augmented Generation (RAG) based LLM Systems from PDFs: An Experience ReportRetrieval-augmented generation → RAG pipeline design and evaluation
  48. MBPU: A Plug-and-Play State Space Model for Point Cloud Upsamping with Fast Point RenderingState-space sequence models (S4, Mamba) → Point clouds, detection and remote sensing
  49. Mitigating Object Hallucination via Concentric Causal AttentionLLM reasoning → Hallucination detection and mitigation +1
  50. Diverse Policies Recovering via Pointwise Mutual Information Weighted Imitation LearningOffline RL and imitation learning from data → Imitation learning methods
  51. MI-VisionShot: Few-shot adaptation of vision-language models for slide-level classification of histopathological imagesMultimodal LLMs / vision-language models → Medical vision-language models
  52. Task-oriented Robotic Manipulation with Vision Language ModelsMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
  53. LLM4GRN: Discovering Causal Gene Regulatory Networks with LLMs -- Evaluation through Synthetic Data GenerationSynthetic data and self-improvement for LLMs → LLM synthetic data generation
  54. RAG4ITOps: A Supervised Fine-Tunable and Comprehensive RAG Framework for IT Operations and MaintenanceRetrieval-augmented generation → RAG robustness and adaptive retrieval
  55. Improve Dense Passage Retrieval with Entailment TuningRetrieval-augmented generation → Generation and context integration
  56. Reducing Hallucinations in Vision-Language Models via Latent Space SteeringMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs
  57. Generalizing Motion Planners with Mixture of Experts for Autonomous DrivingEnd-to-end autonomous driving → End-to-end system architecture +1
  58. Unleashing the Potential of Vision-Language Pre-Training for 3D Zero-Shot Lesion Segmentation via Mask-Attribute AlignmentMultimodal LLMs / vision-language models → Medical vision-language models
  59. Who's Who: Large Language Models Meet Knowledge Conflicts in PracticeRetrieval-augmented generation → RAG robustness and adaptive retrieval
  60. ViMoE: An Empirical Study of Designing Vision Mixture-of-ExpertsMixture-of-experts → Vision mixture-of-experts
  61. Traffic Matrix Estimation based on Denoising Diffusion Probabilistic ModelDiffusion models → Diffusion foundations and sampling
  62. Offline reinforcement learning for job-shop scheduling problemsOffline RL and imitation learning from data → Offline RL algorithms
  63. Residual vector quantization for KV cache compression in large language modelEfficient LLM inference and serving → KV cache quantization
  64. When LLMs Learn to be Students: The SOEI Framework for Modeling and Evaluating Virtual Student Agents in Educational InteractionLLM agents and tool use → Educational agents and math problem solving
  65. Solving Continual Offline RL through Selective Weights Activation on Aligned SpacesOffline RL and imitation learning from data → Decision transformers and sequence modeling
  66. NetSafe: Exploring the Topological Safety of Multi-agent NetworksLLM agents and tool use → Agent threats, guardrails and governance
  67. Revealing and Mitigating the Local Pattern Shortcuts of MambaState-space sequence models (S4, Mamba) → Core SSM architectures for language
  68. RAC: Efficient LLM Factuality Correction with Retrieval AugmentationRetrieval-augmented generation → RAG robustness and adaptive retrieval
  69. CL-HOI: Cross-Level Human-Object Interaction Distillation from Vision Large Language ModelsMultimodal LLMs / vision-language models → Driving VLMs and open-vocabulary detection
  70. Understanding and Alleviating Memory Consumption in RLHF for LLMsLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
  71. Voice-Enabled AI Agents can Perform Common ScamsLLM agents and tool use → Agent threats, guardrails and governance
  72. Boosting Jailbreak Transferability for Large Language ModelsLLM safety and security → Jailbreaking
  73. SMILES-Prompting: A Novel Approach to LLM Jailbreak Attacks in Chemical SynthesisLLM safety and security → Jailbreaking
  74. Can Large Language Models Invent Algorithms to Improve Themselves?: Algorithm Discovery for Recursive Self-Improvement through Reinforcement LearningSynthetic data and self-improvement for LLMs → Self-rewarding alignment and self-training
  75. GATEAU: Selecting Influential Samples for Long Context AlignmentLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
  76. Erasing Undesirable Concepts in Diffusion Models with Adversarial PreservationDiffusion models → Robustness, privacy and adversarial aspects +1
  77. In-Trajectory Inverse Reinforcement Learning: Learn Incrementally Before An Ongoing Trajectory TerminatesOffline RL and imitation learning from data → Inverse reinforcement learning
  78. On The Global Convergence Of Online RLHF With Neural ParametrizationLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
  79. Reinforced Imitative Trajectory Planning for Urban Automated DrivingEnd-to-end autonomous driving → Reinforcement learning for driving +1
  80. A Comprehensive Survey of Direct Preference Optimization: Datasets, Theories, Variants, and ApplicationsLLM reasoning → Reinforcement learning for reasoning +1
  81. Leveraging Retrieval-Augmented Generation for Culturally Inclusive Hakka Chatbots: Design Insights and User PerceptionsRetrieval-augmented generation → RAG pipeline design and evaluation
  82. A Dual Process VLA: Efficient Robotic Manipulation Leveraging VLMVision-language-action models → Generalist VLA models and benchmarks
  83. Forecasting Company Fundamentals
  84. We Urgently Need Intrinsically Kind Machines
  85. Satellite monitoring uncovers progress but large disparities in doubling crop yields
  86. Dataset resulting from the user study on comprehensibility of explainable AI algorithms
  87. Data Matters: The Case of Predicting Mobile Cellular Traffic
  88. Domain-Adaptive Pre-training of Self-Supervised Foundation Models for Medical Image Classification in Gastrointestinal Endoscopy
  89. Contrastive Learning with Auxiliary User Detection for Identifying Activities
  90. AEPL: Automated and Editable Prompt Learning for Brain Tumor Segmentation
  91. YOLO11 and Vision Transformers based 3D Pose Estimation of Immature Green Fruits in Commercial Apple Orchards for Robotic Thinning
  92. Enhancing Trust and Safety in Digital Payments: An LLM-Powered Approach
  93. A practical, fast method for solving sum-of-squares problems for very large polynomials
  94. Artificial intelligence for partial differential equations in computational mechanics: A review
  95. A comprehensive evaluation of pretraining strategies for channel-agnostic contrastive self-supervision of biosignals
  96. GreenEye: Development of Real-Time Traffic Signal Recognition System for Visual Impairments
  97. Scene-Segmentation-Based Exposure Compensation for Tone Mapping of High Dynamic Range Scenes
  98. Teach Multimodal LLMs to Comprehend Electrocardiographic Images
  99. Whither Bias Goes, I Will Go: An Integrative, Systematic Review of Algorithmic Bias Mitigation
  100. Generative Design of Functional Metal Complexes Utilizing the Internal Knowledge of Large Language Models
All 436
  1. A Fusion-Driven Approach of Attention-Based CNN-BiLSTM for Protein Family Classification -- ProFamNet
  2. Disease Outbreak Detection and Forecasting: A Review of Methods and Data Sources
  3. Conflict-Aware Adversarial Training
  4. How Can We Diagnose and Treat Bias in Large Language Models for Clinical Decision-Making?
  5. Enhancing PAC Learning of Half spaces Through Robust Optimization Techniques
  6. Implicit Contact Diffuser: Sequential Contact Reasoning with Latent Point Cloud Diffusion
  7. Revisiting Gradient Normalization and Clipping for Nonconvex SGD under Heavy-Tailed Noise: Necessity, Sufficiency, and Acceleration
  8. How Performance Pressure Influences AI-Assisted Decision Making
  9. PromptHive: Bringing Subject Matter Experts Back to the Forefront with Collaborative Prompt Engineering for Educational Content Creation
  10. Transformers as Implicit State Estimators: In-Context Learning in Dynamical Systems
  11. PlaneSAM: Multimodal Plane Instance Segmentation Using the Segment Anything Model
  12. Spatio-temporal Multivariate Cluster Evolution Analysis for Detecting and Tracking Climate Impacts
  13. Large Language Models Powered Multiagent Ensemble for Mitigating Hallucination and Efficient Atrial Fibrillation Annotation of ECG Reports
  14. A Theoretical Study of Neural Network Expressive Power via Manifold Topology
  15. QIXAI: A Quantum-Inspired Framework for Enhancing Classical and Quantum Model Transparency and Understanding
  16. Large Body Language Models
  17. Distributed Online Life-Long Learning (DOL3) for Multi-agent Trust and Reputation Assessment in E-commerce
  18. ADAM-SINDy: An Efficient Optimization Framework for Parameterized Nonlinear Dynamical System Identification
  19. Supervised Learning without Backpropagation using Spike-Timing-Dependent Plasticity for Image Recognition
  20. Efficient Neural Network Training via Subset Pretraining
  21. AUTALIC: A Dataset for Anti-AUTistic Ableist Language In Context
  22. Cancer Cell Classification using Deep Learning
  23. RGMDT: Return-Gap-Minimizing Decision Tree Extraction in Non-Euclidean Metric Space
  24. TIPS: Text-Image Pretraining with Spatial awareness
  25. Learning from others' mistakes: Finetuning machine translation models with span-level error annotations
  26. ReLU neural network approximation to piecewise constant functions
  27. Do Audio-Language Models Understand Linguistic Variations?
  28. Allo-AVA: A Large-Scale Multimodal Conversational AI Dataset for Allocentric Avatar Gesture Animation
  29. Implementation and Assessment of Machine Learning Models for Forecasting Suspected Opioid Overdoses in Emergency Medical Services Data
  30. SINGAPO: Single Image Controlled Generation of Articulated Parts in Objects
  31. Natural Language Processing for Human Resources: A Survey
  32. Building Conformal Prediction Intervals with Approximate Message Passing
  33. BIG5-CHAT: Shaping LLM Personalities Through Training on Human-Grounded Data
  34. LLM-TS Integrator: Integrating LLM for Enhanced Time Series Modeling
  35. Survival Multiarmed Bandits with Bootstrapping Methods
  36. GenGMM: Generalized Gaussian-Mixture-based Domain Adaptation Model for Semantic Segmentation
  37. Identifying Sub-networks in Neural Networks via Functionally Similar Representations
  38. Finite-Sample and Distribution-Free Fair Classification: Optimal Trade-off Between Excess Risk and Fairness, and the Cost of Group-Blindness
  39. In Search of the Successful Interpolation: On the Role of Sharpness in CLIP Generalization
  40. QuickBind: A Light-Weight And Interpretable Molecular Docking Model
  41. Multi-head Sequence Tagging Model for Grammatical Error Correction
  42. Evaluating the Performance of a D-Wave Quantum Annealing System for Feature Subset Selection in Software Defect Prediction
  43. Comparative Study of Multilingual Idioms and Similes in Large Language Models
  44. STAR: A Simple Training-free Approach for Recommendations using Large Language Models
  45. To the Globe (TTG): Towards Language-Driven Guaranteed Travel Planning
  46. Susu Box or Piggy Bank: Assessing Cultural Commonsense Knowledge between Ghana and the U.S
  47. Robust Feature Learning for Multi-Index Models in High Dimensions
  48. Improving Neuron-level Interpretability with White-box Language Models
  49. AlignVSR: Audio-Visual Cross-Modal Alignment for Visual Speech Recognition
  50. Fair Bilevel Neural Network (FairBiNN): On Balancing fairness and accuracy via Stackelberg Equilibrium
  51. Conjuring Semantic Similarity
  52. HaHeAE: Learning Generalisable Joint Representations of Human Hand and Head Movements in Extended Reality
  53. Pantograph: A Machine-to-Machine Interaction Interface for Advanced Theorem Proving, High Level Reasoning, and Data Extraction in Lean 4
  54. Promoting cross-modal representations to improve multimodal foundation models for physiological signals
  55. Position: Challenges and Opportunities for Differential Privacy in the U.S. Federal Government
  56. BI-EqNO: Generalized Approximate Bayesian Inference with an Equivariant Neural Operator Framework
  57. Data Augmentation of Multivariate Sensor Time Series using Autoregressive Models and Application to Failure Prognostics
  58. AttentionPainter: An Efficient and Adaptive Stroke Predictor for Scene Painting
  59. The Duality of Generative AI and Reinforcement Learning in Robotics: A Review
  60. Subword Embedding from Bytes Gains Privacy without Sacrificing Accuracy and Complexity
  61. Enhancing Multimodal Affective Analysis with Learned Live Comment Features
  62. Hotel Booking Cancellation Prediction Using Applied Bayesian Models
  63. Simplicity Bias via Global Convergence of Sharpness Minimization
  64. Federated Communication-Efficient Multi-Objective Optimization
  65. Towards a Reliable Offline Personal AI Assistant for Long Duration Spaceflight
  66. Joker: Conditional 3D Head Synthesis with Extreme Facial Expressions
  67. Scaffolded Language Models with Language Supervision for Mixed-Autonomy: A Survey
  68. LEGO-Learn: Label-Efficient Graph Open-Set Learning
  69. KatzBot: Revolutionizing Academic Chatbot for Enhanced Communication
  70. Designing Robust Cyber-Defense Agents with Evolving Behavior Trees
  71. A Simple Model of Inference Scaling Laws
  72. Large Language Models in Computer Science Education: A Systematic Literature Review
  73. Domain-Adaptive Neural Posterior Estimation for Strong Gravitational Lens Analysis
  74. Exploring how deep learning decodes anomalous diffusion via Grad-CAM
  75. Quantum Convolutional Neural Network: A Hybrid Quantum-Classical Approach for Iris Dataset Classification
  76. Hydra-LSTM: A semi-shared Machine Learning architecture for prediction across Watersheds
  77. Vulnerabilities in Machine Learning-Based Voice Disorder Detection Systems
  78. Limit Theorems for Stochastic Gradient Descent with Infinite Variance
  79. Disambiguating Monocular Reconstruction of 3D Clothed Human with Spatial-Temporal Transformer
  80. MvDrag3D: Drag-based Creative 3D Editing via Multi-view Generation-Reconstruction Priors
  81. FrugalNeRF: Fast Convergence for Extreme Few-shot Novel View Synthesis without Learned Priors
  82. Reflection-Bench: Evaluating Epistemic Agency in Large Language Models
  83. SAM2Long: Enhancing SAM 2 for Long Video Segmentation with a Training-Free Memory Tree
  84. Agent-to-Sim: Learning Interactive Behavior Models from Casual Longitudinal Videos
  85. Elucidating the design space of language models for image generation
  86. CompassJudger-1: All-in-one Judge Model Helps Model Evaluation and Evolution
  87. Revisiting Deep Feature Reconstruction for Logical and Structural Industrial Anomaly Detection
  88. Distribution Learning with Valid Outputs Beyond the Worst-Case
  89. Can Knowledge Editing Really Correct Hallucinations?
  90. Implicit Regularization for Tubal Tensor Factorizations via Gradient Descent
  91. Analyzing Context Contributions in LLM-based Machine Translation
  92. MoRE: Multi-Modal Contrastive Pre-training with Transformers on X-Rays, ECGs, and Diagnostic Report
  93. Deep Radiomics Detection of Clinically Significant Prostate Cancer on Multicenter MRI: Initial Comparison to PI-RADS Assessment
  94. Managing Bandwidth: The Key to Cloud-Assisted Autonomous Driving
  95. On Creating an English-Thai Code-switched Machine Translation in Medical Domain
  96. Pre-training Distillation for Large Language Models: A Design Space Exploration
  97. Asymmetries in Financial Spillovers
  98. Comprehensive benchmarking of large language models for RNA secondary structure prediction
  99. Compute-Constrained Data Selection
  100. Machine Learning Approaches for Mental Illness Detection on Social Media: A Systematic Review of Biases and Methodological Challenges
  101. Theoretical Limitations of Ensembles in the Age of Overparameterization
  102. Information for Conversation Generation: Proposals Utilising Knowledge Graphs
  103. A Trust-Region Method for Graphical Stein Variational Inference
  104. Training Better Deep Learning Models Using Human Saliency
  105. Contamination Report for Multilingual Benchmarks
  106. MagicPIG: LSH Sampling for Efficient LLM Generation
  107. A Framework for Evaluating Predictive Models Using Synthetic Image Covariates and Longitudinal Data
  108. Learning How to Vote with Principles: Axiomatic Insights Into the Collective Decisions of Neural Networks
  109. Exploring Pretraining via Active Forgetting for Improving Cross Lingual Transfer for Decoder Language Models
  110. From Tokens to Materials: Leveraging Language Models for Scientific Discovery
  111. GenAI Assisting Medical Training
  112. DMM: Distributed Matrix Mechanism for Differentially-Private Federated Learning Based on Constant-Overhead Linear Secret Resharing
  113. Metric as Transform: Exploring beyond Affine Transform for Interpretable Neural Network
  114. Limpeh ga li gong: Challenges in Singlish Annotations
  115. Unsupervised Replay Strategies for Continual Learning with Limited Data
  116. Small Contributions, Small Networks: Efficient Neural Network Pruning Based on Relative Importance
  117. Modeling Structured Data Learning with Restricted Boltzmann Machines in the Teacher-Student Setting
  118. PODTILE: Facilitating Podcast Episode Browsing with Auto-generated Chapters
  119. Towards Combating Frequency Simplicity-biased Learning for Domain Generalization
  120. 1-bit AI Infra: Part 1.1, Fast and Lossless BitNet b1.58 Inference on CPUs
  121. An Explainable Contrastive-based Dilated Convolutional Network with Transformer for Pediatric Pneumonia Detection
  122. A Psycholinguistic Evaluation of Language Models' Sensitivity to Argument Roles
  123. Theoretical Insights into Line Graph Transformation on Graph Learning
  124. Modeling Dynamic Neural Activity by combining Naturalistic Video Stimuli and Stimulus-independent Latent Factors
  125. Beyond 2:4: exploring V:N:M sparsity for efficient transformer inference on GPUs
  126. A Data-driven Crowd Simulation Framework Integrating Physics-informed Machine Learning with Navigation Potential Fields
  127. MNIST-Nd: a set of naturalistic datasets to benchmark clustering across dimensions
  128. Integer linear programming for unsupervised training set selection in molecular machine learning
  129. Extracting Spatiotemporal Data from Gradients with Large Language Models
  130. Multimodal Flare Forecasting with Deep Learning
  131. Increasing Interpretability of Neural Networks By Approximating Human Visual Saliency
  132. Do LLMs write like humans? Variation in grammatical and rhetorical styles
  133. Statistical Inference for Policy Evaluation with Temporal Difference Learning
  134. Addressing Spectral Bias of Deep Neural Networks by Multi-Grade Deep Learning
  135. LDAdam: Adaptive Optimization from Low-Dimensional Gradient Statistics
  136. ExDBN: Learning Dynamic Bayesian Networks using Extended Mixed-Integer Programming Formulations
  137. Final Report for CHESS: Cloud, High-Performance Computing, and Edge for Science and Security
  138. Neural Quantum Propagators for Driven-Dissipative Quantum Dynamics
  139. Analysing the Residual Stream of Language Models Under Knowledge Conflicts
  140. Multi-Sensor Fusion for UAV Classification Based on Feature Maps of Image and Radar Data
  141. Fine-Tuning LLMs for Reliable Medical Question-Answering Services
  142. Critical Example Mining for Vehicle Trajectory Prediction using Flow-based Generative Models
  143. On the Geometry of Regularization in Adversarial Training: High-Dimensional Asymptotics and Generalization Bounds
  144. On-Device LLMs for SMEs: Challenges and Opportunities
  145. Rolling the DICE on Idiomaticity: How LLMs Fail to Grasp Context
  146. Integrated Image-Text Based on Semi-supervised Learning for Small Sample Instance Segmentation
  147. Surprise! Uniform Information Density Isn't the Whole Story: Predicting Surprisal Contours in Long-form Discourse
  148. Label Filling via Mixed Supervision for Medical Image Segmentation from Noisy Annotations
  149. Near-Optimal Algorithm for Non-Stationary Kernelized Bandits
  150. Large Language Models Know What To Say But Not When To Speak
  151. GFlowNets for Hamiltonian decomposition in groups of compatible operators
  152. Benchmarking Pathology Foundation Models: Adaptation Strategies and Scenarios
  153. Improving the Multi-label Atomic Activity Recognition by Robust Visual Feature and Advanced Attention @ ROAD++ Atomic Activity Recognition 2024
  154. TimeMixer++: A General Time Series Pattern Machine for Universal Predictive Analysis
  155. Natural GaLore: Accelerating GaLore for memory-efficient LLM Training and Fine-tuning
  156. Few-shot target-driven instance detection based on open-vocabulary object detection models
  157. SMAC-R1: The Emergence of Intelligence in Decision-Making Tasks
  158. Multispectral Texture Synthesis using RGB Convolutional Neural Networks
  159. Information-Theoretic Minimax Regret Bounds for Reinforcement Learning based on Duality
  160. Massimo: Public Queue Monitoring and Management using Mass-Spring Model
  161. CA*: Addressing Evaluation Pitfalls in Computation-Aware Latency for Simultaneous Speech Translation
  162. 3D-GANTex: 3D Face Reconstruction with StyleGAN3-based Multi-View Images and 3DDFA based Mesh Generation
  163. Resilient Temporal GCN for Smart Grid State Estimation Under Topology Inaccuracies
  164. Language Model Probabilities are Not Calibrated in Numeric Contexts
  165. Exploring Continual Fine-Tuning for Enhancing Language Ability in Large Language Model
  166. Are Bayesian networks typically faithful?
  167. Steering Knowledge Selection Behaviours in LLMs via SAE-Based Representation Engineering
  168. 1024m at SMM4H 2024: Tasks 3, 5 & 6 -- Ensembles of Transformers and Large Language Models for Medical Text Classification
  169. MultiRC: Joint Learning for Time Series Anomaly Prediction and Detection with Multi-scale Reconstructive Contrast
  170. Augmenting Legal Decision Support Systems with LLM-based NLI for Analyzing Social Media Evidence
  171. A quantitative Robbins-Siegmund theorem
  172. State Estimation Using Sparse DEIM and Recurrent Neural Networks
  173. Robust Visual Representation Learning with Multi-modal Prior Knowledge for Image Classification Under Distribution Shift
  174. Learning from Neighbors: Category Extrapolation for Long-Tail Learning
  175. PROMPTHEUS: A Human-Centered Pipeline to Streamline SLRs with LLMs
  176. Enabling Energy-Efficient Deployment of Large Language Models on Memristor Crossbar: A Synergy of Large and Small
  177. Large Language Models for Cross-lingual Emotion Detection
  178. Karush-Kuhn-Tucker Condition-Trained Neural Networks (KKT Nets)
  179. Zero-Shot Scene Reconstruction from Single Images with Deep Prior Assembly
  180. Policy-driven Knowledge Selection and Response Generation for Document-grounded Dialogue
  181. Self-Explained Keywords Empower Large Language Models for Code Generation
  182. Systematic Exploration of Dialogue Summarization Approaches for Reproducibility, Comparative Assessment, and Methodological Innovations for Advancing Natural Language Processing in Abstractive Summarization
  183. A Paradigm Shift in Mouza Map Vectorization: A Human-Machine Collaboration Approach
  184. AI-Driven Innovations in Modern Cloud Computing
  185. Do Large Language Models Have an English Accent? Evaluating and Improving the Naturalness of Multilingual LLMs
  186. TS-ACL: Closed-Form Solution for Time Series-oriented Continual Learning
  187. User-centric evaluation of explainability of AI with and for humans: a comprehensive empirical study
  188. Redefining Finance: The Influence of Artificial Intelligence (AI) and Machine Learning (ML)
  189. Findings of the Third Shared Task on Multilingual Coreference Resolution
  190. AI-Driven Approaches for Glaucoma Detection -- A Comprehensive Review
  191. CausalGraph2LLM: Evaluating LLMs for Causal Queries
  192. Focus on BEV: Self-calibrated Cycle View Transformation for Monocular Birds-Eye-View Segmentation
  193. Centrality-aware Product Retrieval and Ranking
  194. Yeah, Un, Oh: Continuous and Real-time Backchannel Prediction with Fine-tuning of Voice Activity Projection
  195. GReFEL: Geometry-Aware Reliable Facial Expression Learning under Bias and Imbalanced Data Distribution
  196. Automatic Differentiation of Optimization Algorithms with Time-Varying Updates
  197. Are Large-scale Soft Labels Necessary for Large-scale Dataset Distillation?
  198. Leveraging CORAL-Correlation Consistency Network for Semi-Supervised Left Atrium MRI Segmentation
  199. Bench4Merge: A Comprehensive Benchmark for Merging in Realistic Dense Traffic with Micro-Interactive Vehicles
  200. DefVerify: Do Hate Speech Models Reflect Their Dataset's Definition?
  201. Hybrid Architecture for Real-Time Video Anomaly Detection: Integrating Spatial and Temporal Analysis
  202. Seismic Phase Picking
  203. On the Design and Performance of Machine Learning Based Error Correcting Decoders
  204. IGMaxHS -- An Incremental MaxSAT Solver with Support for XOR Clauses
  205. TexPro: Text-guided PBR Texturing with Procedural Material Modeling
  206. Model Mimic Attack: Knowledge Distillation for Provably Transferable Adversarial Examples
  207. Conditional Dependence via U-Statistics Pruning
  208. Foundation Models for Slide-level Cancer Subtyping in Digital Pathology
  209. VLASCD: A Visual Language Action Model for Simultaneous Chatting and Decision Making
  210. Using GPT Models for Qualitative and Quantitative News Analytics in the 2024 US Presidental Election Process
  211. Distributed Learning for UAV Swarms
  212. FlickerFusion: Intra-trajectory Domain Generalizing Multi-Agent RL
  213. Enabling Asymmetric Knowledge Transfer in Multi-Task Learning with Self-Auxiliaries
  214. Visual Motif Identification: Elaboration of a Curated Comparative Dataset and Classification Methods
  215. Principles of semantic and functional efficiency in grammatical patterning
  216. Mesa-Extrapolation: A Weave Position Encoding Method for Enhanced Extrapolation in LLMs
  217. Towards Optimal Adapter Placement for Efficient Transfer Learning
  218. TEXEL: A neuromorphic processor with on-chip learning for beyond-CMOS device integration
  219. R2I-rPPG: A Robust Region of Interest Selection Method for Remote Photoplethysmography to Extract Heart Rate
  220. Focus Where It Matters: Graph Selective State Focused Attention Networks
  221. Random Token Fusion for Multi-View Medical Diagnosis
  222. Modelling Concurrent RTP Flows for End-to-end Predictions of QoS in Real Time Communications
  223. Private, Efficient and Scalable Kernel Learning for Medical Image Analysis
  224. Long-distance Geomagnetic Navigation in GNSS-denied Environments with Deep Reinforcement Learning
  225. LiOn-XA: Unsupervised Domain Adaptation via LiDAR-Only Cross-Modal Adversarial Training
  226. Explainability of Highly Associated Fuzzy Churn Patterns in Binary Classification
  227. Did somebody say "Gest-IT"? A pilot exploration of multimodal data management
  228. The effect of fine-tuning on language model toxicity
  229. MAC Revivo: Artificial Intelligence Paves the Way
  230. LiMTR: Time Series Motion Prediction for Diverse Road Users through Multimodal Feature Integration
  231. Solvation Free Energies from Neural Thermodynamic Integration
  232. Kaninfradet3D:A Road-side Camera-LiDAR Fusion 3D Perception Model based on Nonlinear Feature Extraction and Intrinsic Correlation
  233. FusionLungNet: Multi-scale Fusion Convolution with Refinement Network for Lung CT Image Segmentation
  234. Data-Efficient CLIP-Powered Dual-Branch Networks for Source-Free Unsupervised Domain Adaptation
  235. Mean-Field Simulation-Based Inference for Cosmological Initial Conditions
  236. Deep Learning and Data Augmentation for Detecting Self-Admitted Technical Debt
  237. Assisted Physical Interaction: Autonomous Aerial Robots with Neural Network Detection, Navigation, and Safety Layers
  238. On the VC dimension of deep group convolutional neural networks
  239. Habaek: High-performance water segmentation through dataset expansion and inductive bias optimization
  240. WildOcc: A Benchmark for Off-Road 3D Semantic Occupancy Prediction
  241. Arithmetic Transformers Can Length-Generalize in Both Operand Length and Count
  242. An Efficient System for Automatic Map Storytelling -- A Case Study on Historical Maps
  243. Revisiting the Equivalence of Bayesian Neural Networks and Gaussian Processes: On the Importance of Learning Activations
  244. Mislabeled examples detection viewed as probing machine learning models: concepts, survey and extensive benchmark
  245. A roadmap for generative mapping: unlocking the power of generative AI for map-making
  246. Learning to Synthesize Graphics Programs for Geometric Artworks
  247. Improving Instance Optimization in Deformable Image Registration with Gradient Projection
  248. How Important are Data Augmentations to Close the Domain Gap for Object Detection in Orbit?
  249. SeisLM: a Foundation Model for Seismic Waveforms
  250. LSCodec: Low-Bitrate and Speaker-Decoupled Discrete Speech Codec
  251. Solving Sparse & High-Dimensional-Output Regression via Compression
  252. Optimal Query Allocation in Extractive QA with LLMs: A Learning-to-Defer Framework with Theoretical Guarantees
  253. DeepIcon: A Hierarchical Network for Layer-wise Icon Vectorization
  254. Automated Proof Generation for Rust Code via Self-Evolution
  255. Natural Language Querying System Through Entity Enrichment
  256. Alchemy: Amplifying Theorem-Proving Capability through Symbolic Mutation
  257. GIG: Graph Data Imputation With Graph Differential Dependencies
  258. Toeing the Party Line: Election Manifestos as a Key to Understand Political Discourse on Twitter
  259. DeepVigor+: Scalable and Accurate Semi-Analytical Fault Resilience Analysis for Deep Neural Network
  260. AutoTrain: No-code training for state-of-the-art models
  261. A Two-Stage Learning-to-Defer Approach for Multi-Task Learning
  262. Object-Centric Temporal Consistency via Conditional Autoregressive Inductive Biases
  263. Reducing annotator bias by belief elicitation
  264. S-CFE: Simple Counterfactual Explanations
  265. Learning signals defined on graphs with optimal transport and Gaussian process regression
  266. Timetable Nodes for Public Transport Network
  267. Estimating Individual Dose-Response Curves under Unobserved Confounders from Observational Data
  268. Mitigating Hallucinations of Large Language Models in Medical Information Extraction via Contrastive Decoding
  269. InternLM2.5-StepProver: Advancing Automated Theorem Proving via Critic-Guided Search
  270. Tokenization as Finite-State Transduction
  271. PALMS: Plane-based Accessible Indoor Localization Using Mobile Smartphones
  272. Geographical Node Clustering and Grouping to Guarantee Data IIDness in Federated Learning
  273. Efficient Terminology Integration for LLM-based Translation in Specialized Domains
  274. Enhancing SNN-based Spatio-Temporal Learning: A Benchmark Dataset and Cross-Modality Attention Model
  275. MIK: Modified Isolation Kernel for Biological Sequence Visualization, Classification, and Clustering
  276. DomainSum: A Hierarchical Benchmark for Fine-Grained Domain Shift in Abstractive Text Summarization
  277. RANSAC Back to SOTA: A Two-stage Consensus Filtering for Real-time 3D Registration
  278. Federated Learning with MMD-based Early Stopping for Adaptive GNSS Interference Classification
  279. TALoS: Enhancing Semantic Scene Completion via Test-time Adaptation on the Line of Sight
  280. Transforming Blood Cell Detection and Classification with Advanced Deep Learning Models: A Comparative Study
  281. Learning to Generate and Evaluate Fact-checking Explanations with Transformers
  282. Long Term Memory: The Foundation of AI Self-Evolution
  283. Scalable Data Ablation Approximations for Language Models through Modular Training and Merging
  284. Ordinal-Aware Calibration for Ordinal Classification
  285. LightFusionRec: Lightweight Transformers-Based Cross-Domain Recommendation Model
  286. Accounting for Missing Covariates in Heterogeneous Treatment Estimation
  287. Opportunities and Challenges of Generative-AI in Finance
  288. Linking Model Intervention to Causal Interpretation in Model Explanation
  289. Procedural Content Generation in Games: A Survey with Insights on Emerging LLM Integration
  290. Resource-Efficient Medical Report Generation using Large Language Models
  291. Deep Graph Attention Networks
  292. Large Deviation Upper Bounds and Improved MSE Rates of Nonlinear SGD: Heavy-tailed Noise and Power of Symmetry
  293. LucidFusion: Reconstructing 3D Gaussians with Arbitrary Unposed Images
  294. Distributionally Robust Instrumental Variables Estimation
  295. Fully Explicit Dynamic Gaussian Splatting
  296. Towards Kriging-informed Conditional Diffusion for Regional Sea-Level Data Downscaling
  297. Improving Parallel Program Performance with LLM Optimizers via Agent-System Interfaces
  298. Test-time Adaptation for Cross-modal Retrieval with Query Shift
  299. Guardians of Discourse: Evaluating LLMs on Multilingual Offensive Language Detection
  300. Acoustic Model Optimization over Multiple Data Sources: Merging and Valuation
  301. Long-time Integration of Nonlinear Wave Equations with Neural Operators
  302. Weighted Diversified Sampling for Efficient Data-Driven Single-Cell Gene-Gene Interaction Discovery
  303. Joint Top-Down and Bottom-Up Frameworks for 3D Visual Grounding
  304. Topology-Aware Exploration of Circle of Willis for CTA and MRA: Segmentation, Detection, and Classification
  305. Exploring Stronger Transformer Representation Learning for Occluded Person Re-Identification
  306. Interventional Speech Noise Injection for ASR Generalizable Spoken Language Understanding
  307. Moonshine: Speech Recognition for Live Transcription and Voice Commands
  308. Deep Active Learning with Manifold-preserving Trajectory Sampling
  309. P-YOLOv8: Efficient and Accurate Real-Time Detection of Distracted Driving
  310. All You Need is an Improving Column: Enhancing Column Generation for Parallel Machine Scheduling via Transformers
  311. Patrol Security Game: Defending Against Adversary with Freedom in Attack Timing, Location, and Duration
  312. A Comprehensive Comparative Study of Individual ML Models and Ensemble Strategies for Network Intrusion Detection Systems
  313. CPE-Pro: A Structure-Sensitive Deep Learning Method for Protein Representation and Origin Evaluation
  314. AMPLE: Emotion-Aware Multimodal Fusion Prompt Learning for Fake News Detection
  315. SSMT: Few-Shot Traffic Forecasting with Single Source Meta-Transfer
  316. Deep Learning and Machine Learning -- Object Detection and Semantic Segmentation: From Theory to Applications
  317. ARTS: Semi-Analytical Regressor using Disentangled Skeletal Representations for Human Mesh Recovery from Videos
  318. Multimodal Learning for Embryo Viability Prediction in Clinical IVF
  319. Language Models are Symbolic Learners in Arithmetic
  320. Generalized Probabilistic Attention Mechanism in Transformers
  321. A Survey of Conversational Search
  322. Neural Search Space in Gboard Decoder
  323. OpenMU: Your Swiss Army Knife for Music Understanding
  324. Stacking Small Language Models for Generalizability
  325. Online Pseudo-Label Unified Object Detection for Multiple Datasets Training
  326. Pruning Foundation Models for High Accuracy without Retraining
  327. Reward Maximization for Pure Exploration: Minimax Optimal Good Arm Identification for Nonparametric Multi-Armed Bandits
  328. Ablation Studies for Novel Treatment Effect Estimation Models
  329. How to Find the Exact Pareto Front for Multi-Objective MDPs?
  330. Gradient Rewiring for Editable Graph Neural Network Training
  331. Bayesian Concept Bottleneck Models with LLM Priors
  332. A Plug-and-Play Fully On-the-Job Real-Time Reinforcement Learning Algorithm for a Direct-Drive Tandem-Wing Experiment Platforms Under Multiple Random Operating Conditions
  333. Multi-IF: Benchmarking LLMs on Multi-Turn and Multilingual Instructions Following
  334. WHoW: A Cross-domain Approach for Analysing Conversation Moderation
  335. Hiding in Plain Sight: Reframing Hardware Trojan Benchmarking as a Hide&Seek Modification
  336. Distributed Thompson sampling under constrained communication