mlsanityData to 14 Oct 2026

Papers

New on arXiv

Tue 22 Oct 2024

329 papers

  1. Scattered Forest Search: Smarter Code Space Exploration with LLMsLLM reasoning → Reasoning for agents, planning and code
  2. Multi-Modal Transformer and Reinforcement Learning-based Beam ManagementDeep reinforcement learning methods → RL for energy, networks and operations
  3. Survival of the Fittest: Evolutionary Adaptation of Policies for Environmental ShiftsDeep reinforcement learning methods → RL theory and sample complexity
  4. SmartRAG: Jointly Learn RAG-Related Tasks From the Environment FeedbackRetrieval-augmented generation → Agentic RAG, agents and memory
  5. Composing Diffusion Policies for Few-shot Learning of Movement TrajectoriesDiffusion models → Diffusion and flow policies for robotics
  6. DROP: Distributional and Regular Optimism and Pessimism for Reinforcement LearningDeep reinforcement learning methods → Deep RL algorithms and representations
  7. Evolution of Societies via Reinforcement LearningDeep reinforcement learning methods → RL for games and combinatorial optimization
  8. In Context Learning and Reasoning for Symbolic Regression with Large Language ModelsLLM reasoning → Mathematical reasoning
  9. Interpreting Affine Recurrence Learning in GPT-style TransformersMechanistic interpretability → Circuits and mechanistic analysis
  10. LongVU: Spatiotemporal Adaptive Compression for Long Video-Language UnderstandingMultimodal LLMs / vision-language models → Video understanding with MLLMs
  11. Meta Stackelberg Game: Robust Federated Learning against Adaptive and Mixed Poisoning AttacksDeep reinforcement learning methods → RL for energy, networks and operations
  12. Multimodal LLM Guided Exploration and Active Mapping using Fisher InformationMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
  13. ProveRAG: Provenance-Driven Vulnerability Analysis with Automated Retrieval-Augmented LLMsRetrieval-augmented generation → Privacy and security of RAG
  14. Invisible Manipulation Deep Reinforcement Learning Enhanced Stealthy Attacks on Battery Energy Management SystemsDeep reinforcement learning methods → RL for energy, networks and operations
  15. AdvAgent: Controllable Blackbox Red-teaming on Web AgentsLLM agents and tool use → Agent threats, guardrails and governance +1
  16. Navigating Noisy Feedback: Enhancing Reinforcement Learning with Error-Prone Language ModelsLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
  17. Do Vision-Language Models Represent Space and How? Evaluating Spatial Frame of Reference Under AmbiguitiesMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
  18. AMUSD: Asynchronous Multi-Device Speculative Decoding for LLM AccelerationEfficient LLM inference and serving → Speculative decoding
  19. EEG-DIF: Early Warning of Epileptic Seizures through Generative Diffusion Model-based Multi-channel EEG Signals ForecastingDiffusion models → Medical imaging and segmentation
  20. JMMMU: A Japanese Massive Multi-discipline Multimodal Understanding Benchmark for Culture-aware EvaluationMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
  21. PyramidDrop: Accelerating Your Large Vision-Language Models via Pyramid Visual Redundancy ReductionMultimodal LLMs / vision-language models → Visual token pruning and efficiency
  22. Towards Reliable Evaluation of Behavior Steering Interventions in LLMsMechanistic interpretability → Activation steering methods
  23. SELA: Tree-Search Enhanced LLM Agents for Automated Machine LearningLLM agents and tool use → General LLM agent frameworks and benchmarks
  24. Large Language Models Empowered Personalized Web AgentsLLM agents and tool use → Agent memory systems
  25. ICPL: Few-shot In-context Preference Learning via LLMsLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
  26. MiniPLM: Knowledge Distillation for Pre-Training Language ModelsKnowledge distillation → Knowledge distillation for LLMs
  27. Non-myopic Generation of Language Models for Reasoning and PlanningLLM reasoning → Reasoning for agents, planning and code
  28. Remote Timing Attacks on Efficient Language Model InferenceEfficient LLM inference and serving → Speculative decoding
  29. Reinforcement learning on structure-conditioned categorical diffusion for protein inverse foldingDeep reinforcement learning methods → RL for energy, networks and operations
  30. Are Visual-Language Models Effective in Action Recognition? A Comparative StudyMultimodal LLMs / vision-language models → Video understanding with MLLMs
  31. Self-Steering Optimization: Autonomous Preference Optimization for Large Language ModelsLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
  32. Exploring RL-based LLM Training for Formal Language Tasks with Programmed RewardsLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
  33. Science Out of Its Ivory Tower: Improving Accessibility with Reinforcement LearningDeep reinforcement learning methods → RL training of language and agent models
  34. Optimal Design for Reward Modeling in RLHFLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
  35. UnStar: Unlearning with Self-Taught Anti-Sample Reasoning for LLMsLLM reasoning → Reasoning for agents, planning and code +1
  36. Optimizing Mixture-of-Experts Inference Time Combining Model Deployment and Communication SchedulingMixture-of-experts → Efficient MoE training and inference systems
  37. SG-FSM: A Self-Guiding Zero-Shot Prompting Paradigm for Multi-Hop Question Answering Based on Finite State MachineLLM reasoning → Knowledge- and tool-augmented reasoning
  38. An Eye for an AI: Evaluating GPT-4o's Visual Perception Skills and Geometric Reasoning Skills Using Computer Graphics QuestionsLLM reasoning → Multimodal reasoning +1
  39. Order Matters: Exploring Order Sensitivity in Multimodal Large Language ModelsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
  40. Proleptic Temporal Ensemble for Improving the Speed of Robot Tasks Generated by Imitation LearningOffline RL and imitation learning from data → Robot manipulation imitation learning
  41. Breaking ReAct Agents: Foot-in-the-Door Attack Will Get You InLLM agents and tool use → Agent threats, guardrails and governance
  42. Self-Evolving Multi-Agent Collaboration Networks for Software DevelopmentLLM agents and tool use → Software engineering coding agents +1
  43. DiP-GO: A Diffusion Pruner via Few-step Gradient OptimizationDiffusion models → Diffusion foundations and sampling
  44. Math Neurosurgery: Isolating Language Models' Math Reasoning Abilities Using Only Forward PassesLLM reasoning → Mathematical reasoning
  45. SleepCoT: A Lightweight Personalized Sleep Health Model via Chain-of-Thought DistillationLLM reasoning → Clinical and biomedical applications
  46. EnvBridge: Bridging Diverse Environments with Cross-Environment Knowledge Transfer for Embodied AILLM reasoning → Spatial and embodied reasoning
  47. TreeDiffusion: Hierarchical Generative Clustering for Conditional DiffusionDiffusion models → Diffusion foundations and sampling
  48. VistaDream: Sampling multiview consistent images for single-view scene reconstructionDiffusion models → 3D, point cloud and scene generation
  49. CK4Gen: A Knowledge Distillation Framework for Generating High-Utility Synthetic Survival Datasets in HealthcareKnowledge distillation → Distillation for medical imaging
  50. Safe Load Balancing in Software-Defined-NetworkingDeep reinforcement learning methods → RL for energy, networks and operations
  51. Trustworthy Alignment of Retrieval-Augmented Large Language Models via Reinforcement LearningRetrieval-augmented generation → RAG robustness and adaptive retrieval +1
  52. MPDS: A Movie Posters Dataset for Image Generation with Diffusion ModelDiffusion models → Image generation, text-to-image and editing
  53. Guiding Reinforcement Learning with Incomplete System DynamicsDeep reinforcement learning methods → Deep RL algorithms and representations
  54. Optimizing Chain-of-Thought Reasoning: Tackling Arranging Bottleneck via Plan AugmentationLLM reasoning → Prompting and chain-of-thought reasoning
  55. Context-aware Inductive Knowledge Graph Completion with Latent Type Constraints and Subgraph ReasoningLLM reasoning → Knowledge- and tool-augmented reasoning
  56. Evaluating the Effectiveness of Attack-Agnostic Features for Morphing Attack DetectionDiffusion models → Robustness, privacy and adversarial aspects
  57. One-Step Diffusion Distillation through Score Implicit MatchingDiffusion models → Diffusion foundations and sampling
  58. Curriculum Reinforcement Learning for Complex Reward FunctionsDeep reinforcement learning methods → Deep RL algorithms and representations
  59. Beyond Retrieval: Generating Narratives in Conversational Recommender SystemsLLM reasoning → LLM reasoning for recommendation
  60. SpikMamba: When SNN meets Mamba in Event-based Human Action RecognitionState-space sequence models (S4, Mamba) → Video, motion and generative Mamba models
  61. Rethinking Soft Actor-Critic in High-Dimensional Action Spaces: The Cost of Ignoring Distribution ShiftDeep reinforcement learning methods → RL theory and sample complexity
  62. LLM-Assisted Red Teaming of Diffusion Models through "Failures Are Fated, But Can Be Faded"Diffusion models → Diffusion and flow policies for robotics +1
  63. Forewarned is Forearmed: Leveraging LLMs for Data Synthesis through Failure-Inducing ExplorationSynthetic data and self-improvement for LLMs → LLM synthetic data generation
  64. Progressive Compositionality in Text-to-Image Generative ModelsDiffusion models → Image generation, text-to-image and editing
  65. Magnetic Preference Optimization: Achieving Last-iterate Convergence for Language Model AlignmentLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
  66. DARE: Diffusion Policy for Autonomous Robot ExplorationDiffusion models → Diffusion and flow policies for robotics
  67. CausalEval: Towards Better Causal Reasoning in Language ModelsLLM reasoning → Causal reasoning in LLMs
  68. CoPS: Empowering LLM Agents with Provable Cross-Task Experience SharingLLM reasoning → Reasoning for agents, planning and code +1
  69. QuasiNav: Asymmetric Cost-Aware Navigation Planning with Constrained Quasimetric Reinforcement LearningDeep reinforcement learning methods → RL for robot navigation and UAV control
  70. Adsorb-Agent: Autonomous Identification of Stable Adsorption Configurations via Large Language Model AgentLLM agents and tool use → Medical and scientific domain agents
  71. Dual-Model Defense: Safeguarding Diffusion Models from Membership Inference Attacks through Disjoint Data SplittingDiffusion models → Robustness, privacy and adversarial aspects +1
  72. Enhancing Two-Player Performance Through Single-Player Knowledge Transfer: An Empirical Study on Atari 2600 GamesDeep reinforcement learning methods → RL for games and combinatorial optimization
  73. TopoDiffusionNet: A Topology-aware Diffusion ModelDiffusion models → Flow matching, time series and science
  74. Benchmarking Smoothness and Reducing High-Frequency Oscillations in Continuous Control PoliciesDeep reinforcement learning methods → RL theory and sample complexity
  75. GALA: Graph Diffusion-based Alignment with Jigsaw for Source-free Domain AdaptationDiffusion models → Flow matching, time series and science
  76. Scaling Knowledge Graph Construction through Synthetic Data Generation and DistillationSynthetic data and self-improvement for LLMs → LLM synthetic data generation
  77. Optimizing LLMs with Direct Preferences: A Data Efficiency PerspectiveLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
  78. ShEPhERD: Diffusing shape, electrostatics, and pharmacophores for bioisosteric drug design
  79. AmazonQAC: A Large-Scale, Naturalistic Query Autocomplete Dataset
  80. On the analysis of saturated pressure to detect fatigue
  81. Foundation Models for Rapid Autonomy Validation
  82. A Surrogate Model for Quay Crane Scheduling Problem
  83. Development of CODO: A Comprehensive Tool for COVID-19 Data Representation, Analysis, and Visualization
  84. Applying Data Driven Decision Making to rank Vocational and Educational Training Programs with TOPSIS
  85. VideoSAM: A Large Vision Foundation Model for High-Speed Video Segmentation
  86. VEMOCLAP: A video emotion classification web application
  87. Enhancing Deep Learning based RMT Data Inversion using Gaussian Random Field
  88. Prototype-Based Methods in Explainable AI and Emerging Opportunities in the Geosciences
  89. Personalized Recommendation Systems using Multimodal, Autonomous, Multi Agent Systems
  90. Dynamic User Grouping based on Location and Heading in 5G NR Systems
  91. Deep Learning and Machine Learning -- Python Data Structures and Mathematics Fundamental: From Theory to Practice
  92. Benchmarking Large Language Models for Image Classification of Marine Mammals
  93. Privacy-Computation trade-offs in Private Repetition and Metaselection
  94. Dual Space Training for GANs: A Pathway to Efficient and Creative Generative Models
  95. MEC-IP: Efficient Discovery of Markov Equivalent Classes via Integer Programming
  96. Meaning Typed Prompting: A Technique for Efficient, Reliable Structured Output Generation
  97. Using Platt's scaling for calibration after undersampling -- limitations and how to address them
  98. Analyzing Nobel Prize Literature with Large Language Models
  99. Tethering Broken Themes: Aligning Neural Topic Models with Labels and Authors
  100. Advancing Super-Resolution in Neural Radiance Fields via Variational Diffusion Strategies
All 329
  1. Do Robot Snakes Dream like Electric Sheep? Investigating the Effects of Architectural Inductive Biases on Hallucination
  2. AdaptoML-UX: An Adaptive User-centered GUI-based AutoML Toolkit for Non-AI Experts and HCI Researchers
  3. Interpretable Multimodal Machine Learning Analysis of X-ray Absorption Near-Edge Spectra and Pair Distribution Functions
  4. Bauplan: zero-copy, scale-up FaaS for data pipelines
  5. Scalable Implicit Graphon Learning
  6. Decoding Time Series with LLMs: A Multi-Agent Framework for Cross-Domain Annotation
  7. Graph Neural Network-Accelerated Network-Reconfigured Optimal Power Flow
  8. Data Obfuscation through Latent Space Projection (LSP) for Privacy-Preserving AI Governance: Case Studies in Medical Diagnosis and Finance Fraud Detection
  9. Interacc~ao entre robos humanoides: desenvolvendo a colaboracc~ao e comunicacc~ao autonoma
  10. Guaranteeing Conservation Laws with Projection in Physics-Informed Neural Networks
  11. Detecting Adversarial Examples
  12. AI-generated Essays: Characteristics and Implications on Automated Scoring and Academic Integrity
  13. Revisiting Technical Bias Mitigation Strategies
  14. Real-time experiment-theory closed-loop interaction for autonomous materials science
  15. Uncovering RL Integration in SSL Loss: Objective-Specific Implications for Data-Efficient RL
  16. SigCLR: Sigmoid Contrastive Learning of Visual Representations
  17. Artificial Intelligence in Brazilian News: A Mixed-Methods Analysis
  18. End-to-End Optimization and Learning of Fair Court Schedules
  19. Scalable Influence and Fact Tracing for Large Language Model Pretraining
  20. Learning Graph Filters for Structure-Function Coupling based Hub Node Identification
  21. Geometric Graph Neural Network Modeling of Human Interactions in Crowded Environments
  22. Quantum Large Language Models via Tensor Network Disentanglers
  23. Efficient Feature Extraction Using Light-Weight CNN Attention-Based Deep Learning Architectures for Ultrasound Fetal Plane Classification
  24. A 10.60 μW 150 GOPS Mixed-Bit-Width Sparse CNN Accelerator for Life-Threatening Ventricular Arrhythmia Detection
  25. packetLSTM: Dynamic LSTM Framework for Streaming Data with Varying Feature Space
  26. Denoise-I2W: Mapping Images to Denoising Words for Accurate Zero-Shot Composed Image Retrieval
  27. Cooperative Multi-Agent Constrained Stochastic Linear Bandits
  28. PtychoFormer: A Transformer-based Model for Ptychographic Phase Retrieval
  29. Episodic Future Thinking Mechanism for Multi-agent Reinforcement Learning
  30. DeLLiriuM: A large language model for delirium prediction in the ICU using structured EHR
  31. Characterizing Robocalls with Multiple Vantage Points
  32. FairLoRA: Unpacking Bias Mitigation in Vision Models with Fairness-Driven Low-Rank Adaptation
  33. Image-aware Evaluation of Generated Medical Reports
  34. All Entities are Not Created Equal: Examining the Long Tail for Ultra-Fine Entity Typing
  35. Hierarchical Multi-agent Reinforcement Learning for Cyber Network Defense
  36. Enhancing Robustness and Efficiency of Least Square Twin SVM via Granular Computing
  37. Captions Speak Louder than Images: Generalizing Foundation Models for E-commerce from High-quality Multimodal Instruction Data
  38. Computing Optimal Regularizers for Online Linear Optimization
  39. Whose Journey Matters? Investigating Identity Biases in Large Language Models (LLMs) for Travel Planning Assistance
  40. Offline Evaluation of Set-Based Text-to-Image Generation
  41. Literature Meets Data: A Synergistic Approach to Hypothesis Generation
  42. Error estimates between SGD with momentum and underdamped Langevin diffusion
  43. Improving Insurance Catastrophic Data with Resampling and GAN Methods
  44. Altogether: Image Captioning via Re-aligning Alt-text
  45. SpectroMotion: Dynamic 3D Reconstruction of Specular Scenes
  46. HyperspectralViTs: General Hyperspectral Models for On-board Remote Sensing
  47. Learning Precise, Contact-Rich Manipulation through Uncalibrated Tactile Skins
  48. Breaking the Memory Barrier: Near Infinite Batch Size Scaling for Contrastive Loss
  49. LVSM: A Large View Synthesis Model with Minimal 3D Inductive Bias
  50. Frontiers in Intelligent Colonoscopy
  51. Automated Spinal MRI Labelling from Reports Using a Large Language Model
  52. Fine-Tuning Large Language Models to Appropriately Abstain with Semantic Entropy
  53. Optimal Robust Estimation under Local and Global Corruptions: Stronger Adversary and Smaller Error
  54. Responsibility in a Multi-Value Strategic Setting
  55. Dhoroni: Exploring Bengali Climate Change and Environmental Views with a Multi-Perspective News Dataset and Natural Language Processing
  56. Context-aware Prompt Tuning: Advancing In-Context Learning with Adversarial Methods
  57. Scalable spectral representations for multi-agent reinforcement learning in network MDPs
  58. Creativity in AI: Progresses and Challenges
  59. Hierarchical Upper Confidence Bounds for Constrained Online Learning
  60. Neuroevolution Neural Architecture Search for Evolving RNNs in Stock Return Prediction and Portfolio Trading
  61. Exploring Possibilities of AI-Powered Legal Assistance in Bangladesh through Large Language Modeling
  62. Audio-to-Score Conversion Model Based on Whisper methodology
  63. EPContrast: Effective Point-level Contrastive Learning for Large-scale Point Cloud Understanding
  64. VoiceBench: Benchmarking LLM-Based Voice Assistants
  65. Representation Shattering in Transformers: A Synthetic Study with Knowledge Editing
  66. Emphasizing Discriminative Features for Dataset Distillation in Complex Scenarios
  67. On Functional Dimension and Persistent Pseudodimension
  68. DyPNIPP: Predicting Environment Dynamics for RL-based Robust Informative Path Planning
  69. From Attention to Activation: Unravelling the Enigmas of Large Language Models
  70. KANICE: Kolmogorov-Arnold Networks with Interactive Convolutional Elements
  71. Self-calibration for Language Model Quantization and Pruning
  72. Interchangeable Token Embeddings for Extendable Vocabulary and Alpha-Equivalence
  73. Layered LA-MAPF: a decomposition of large agent MAPF instance to accelerate solving without compromising solvability
  74. LiNo: Advancing Recursive Residual Decomposition of Linear and Nonlinear Patterns for Robust Time Series Forecasting
  75. Improving Pinterest Search Relevance Using Large Language Models
  76. Covariance estimation using Markov chain Monte Carlo
  77. LiNeS: Post-training Layer Scaling Prevents Forgetting and Enhances Model Merging
  78. Can General-Purpose Large Language Models Generalize to English-Thai Machine Translation ?
  79. YOLO-TS: Real-Time Traffic Sign Detection with Enhanced Accuracy Using Optimized Receptive Fields and Anchor-Free Fusion
  80. Coniferest: a complete active anomaly detection framework
  81. Towards Automated Penetration Testing: Introducing LLM Benchmark, Analysis, and Improvements
  82. Trustworthy XAI and Application
  83. AlphaChimp: Tracking and Behavior Recognition of Chimpanzees
  84. Reinforcement Learning for Data-Driven Workflows in Radio Interferometry. I. Principal Demonstration in Calibration
  85. Understanding Transfer Learning via Mean-field Analysis
  86. PAPILLON: Privacy Preservation from Internet-based and Local Language Model Ensembles
  87. Automated neuroradiological support systems for multiple cerebrovascular disease markers -- A systematic review and meta-analysis
  88. Learning Load Balancing with GNN in MPTCP-Enabled Heterogeneous Networks
  89. Enhancing Answer Attribution for Faithful Text Generation with Large Language Models
  90. Permutation Picture of Graph Combinatorial Optimization Problems
  91. CLAP: Concave Linear APproximation for Quadratic Graph Matching
  92. Human-LLM Hybrid Text Answer Aggregation for Crowd Annotations
  93. Activity Recognition on Avatar-Anonymized Datasets with Masked Differential Privacy
  94. Exploration and Persuasion
  95. A Survey on Deep Learning-based Gaze Direction Regression: Searching for the State-of-the-art
  96. Continuous Speech Tokenizer in Text To Speech
  97. Combinatorial Logistic Bandits
  98. Neuronal Competition Groups with Supervised STDP for Spike-Based Classification
  99. Multi Kernel Estimation based Object Segmentation
  100. Data-driven Coreference-based Ontology Building
  101. A Comparison of Baseline Models and a Transformer Network for SOC Prediction in Lithium-Ion Batteries
  102. Deep Memory Search: A Metaheuristic Approach for Optimizing Heuristic Search
  103. Arabic Dataset for LLM Safeguard Evaluation
  104. DIRI: Adversarial Patient Reidentification with Large Language Models for Evaluating Clinical Text Anonymization
  105. Insights on Disagreement Patterns in Multimodal Safety Perception across Diverse Rater Groups
  106. GeoCode-GPT: A Large Language Model for Geospatial Code Generation Tasks
  107. Can a Machine Distinguish High and Low Amount of Social Creak in Speech?
  108. LFME: A Simple Framework for Learning from Multiple Experts in Domain Generalization
  109. Exploring Forgetting in Large Language Model Pre-Training
  110. SPVSoAP3D: A Second-order Average Pooling Approach to enhance 3D Place Recognition in Horticultural Environments
  111. Hybrid Generative AI for De Novo Design of Co-Crystals with Enhanced Tabletability
  112. Joint Point Cloud Upsampling and Cleaning with Octree-based CNNs
  113. AGSENet: A Robust Road Ponding Detection Method for Proactive Traffic Safety
  114. E-3DGS: Gaussian Splatting with Exposure and Motion Events
  115. Sample-Efficient Geometry Reconstruction from Euclidean Distances using Non-Convex Optimization
  116. Multi-Layer Gaussian Splatting for Immersive Anatomy Visualization
  117. IPL: Leveraging Multimodal Large Language Models for Intelligent Product Listing
  118. Publishing Neural Networks in Drug Discovery Might Compromise Training Data Privacy
  119. Learning Mathematical Rules with Large Language Models
  120. Sample-efficient Bayesian Optimisation Using Known Invariances
  121. Leaky ReLUs That Differ in Forward and Backward Pass Facilitate Activation Maximization in Deep Neural Networks
  122. PGCS: Physical Law embedded Generative Cloud Synthesis in Remote Sensing Images
  123. Towards Real Zero-Shot Camouflaged Object Segmentation without Camouflaged Annotations
  124. ISImed: A Framework for Self-Supervised Learning using Intrinsic Spatial Information in Medical Images
  125. IdenBAT: Disentangled Representation Learning for Identity-Preserved Brain Age Transformation
  126. Business Process Simulation: Probabilistic Modeling of Intermittent Resource Availability and Multitasking Behavior
  127. LIMIS: Towards Language-based Interactive Medical Image Segmentation
  128. Graph Neural Networks for Edge Signals: Orientation Equivariance and Invariance
  129. xLSTM-Mixer: Multivariate Time Series Forecasting by Mixing via Scalar Memories
  130. Revealing Hidden Bias in AI: Lessons from Large Language Models
  131. Pyramid Vector Quantization for LLMs
  132. DNAHLM -- DNA sequence and Human Language mixed large language Model
  133. Mitigating Vanishing Activations in Deep CapsNets Using Channel Pruning
  134. Bayes without Underfitting: Fully Correlated Deep Learning Posteriors via Alternating Projections
  135. MBD: Multi b-value Denoising of Diffusion Magnetic Resonance Images
  136. Enhancing Generalization in Convolutional Neural Networks through Regularization with Edge and Line Features
  137. Global Optimization of Gaussian Process Acquisition Functions Using a Piecewise-Linear Kernel Approximation
  138. Unsupervised Time Series Anomaly Prediction with Importance-based Generative Contrastive Learning
  139. Network Inversion for Training-Like Data Reconstruction
  140. SaVe-TAG: LLM-based Interpolation for Long-Tailed Text-Attributed Graphs
  141. Just In Time Transformers
  142. Contrasting Attitudes Towards Current and Future AI Applications for Computerised Interpretation of ECG: A Clinical Stakeholder Interview Study
  143. Error Feedback under (L0,L1)-Smoothness: Normalization and Momentum
  144. Federated Causal Inference: Multi-Study ATE Estimation beyond Meta-Analysis
  145. Rethinking generalization of classifiers in separable classes scenarios and over-parameterized regimes
  146. Pedestrian motion prediction evaluation for urban autonomous driving
  147. Dynamic graph neural networks for enhanced volatility prediction in financial markets
  148. Nash Meets Wertheimer: Using Good Continuation in Jigsaw Puzzles
  149. Tracing the Development of the Virtual Particle Concept Using Semantic Change Detection
  150. Bridging the Modality Gap: Dimension Information Alignment and Sparse Spatial Constraint for Image-Text Matching
  151. Polyak's Heavy Ball Method Achieves Accelerated Local Rate of Convergence under Polyak-Lojasiewicz Inequality
  152. ETHIC: Evaluating Large Language Models on Long-Context Tasks with High Information Coverage
  153. Fast Graph Sharpness-Aware Minimization for Enhancing and Accelerating Few-Shot Node Classification
  154. Assessment of Transformer-Based Encoder-Decoder Model for Human-Like Summarization
  155. Analyzing and Evaluating Correlation Measures in NLG Meta-Evaluation
  156. Guarantees of a Preconditioned Subgradient Algorithm for Overparameterized Asymmetric Low-rank Matrix Recovery
  157. PerspectiveNet: Multi-View Perception for Dynamic Scene Understanding
  158. Can Large Language Models Act as Ensembler for Multi-GNNs?
  159. AttriPrompter: Auto-Prompting with Attribute Semantics for Zero-shot Nuclei Detection via Visual-Language Pre-trained Models
  160. Klein Model for Hyperbolic Neural Networks
  161. Masked Clinical Modelling: A Framework for Synthetic and Augmented Survival Data Generation
  162. Test-time Adversarial Defense with Opposite Adversarial Path and High Attack Time Cost
  163. Controlled Low-Rank Adaptation with Subspace Regularization for Continued Training on Large Language Models
  164. Scene-Aware Explainable Multimodal Trajectory Prediction
  165. Correct after Answer: Enhancing Multi-Span Question Answering with Post-Processing Method
  166. Annotation-Free MIDI-to-Audio Synthesis via Concatenative Synthesis and Generative Refinement
  167. Context-Aware LLM Translation System Using Conversation Summarization and Dialogue History
  168. The Scene Language: Representing Scenes with Programs, Words, and Embeddings
  169. DSORT-MCU: Detecting Small Objects in Real-Time on Microcontroller Units
  170. Survival Models: Proper Scoring Rule and Stochastic Optimization with Competing Risks
  171. Deep-Sea A*+: An Advanced Path Planning Method Integrating Enhanced A* and Dynamic Window Approach for Autonomous Underwater Vehicles
  172. Efficient Frequency Selective Surface Analysis via End-to-End Model-Based Learning
  173. Towards Efficient IMC Accelerator Design Through Joint Hardware-Workload Co-optimization
  174. Theoretical Convergence Guarantees for Variational Autoencoders
  175. Uncovering Key Trends in Industry 5.0 through Advanced AI Techniques
  176. Time-Resolved MNIST Dataset for Single-Photon Recognition
  177. Co-training partial domain adaptation networks for industrial Fault Diagnosis
  178. Polyp-E: Benchmarking the Robustness of Deep Segmentation Models via Polyp Editing
  179. Enhancing Low-Resource ASR through Versatile TTS: Bridging the Data Gap
  180. Resource-Efficient Sensor Fusion via System-Wide Dynamic Gated Neural Networks
  181. Robust Variable Selection for High-dimensional Regression with Missing Data and Measurement Errors
  182. Learning Partial Graph Matching via Optimal Partial Transport
  183. A class of modular and flexible covariate-based covariance functions for nonstationary spatial modeling
  184. Collapse or Thrive? Perils and Promises of Synthetic Data in a Self-Generating World
  185. DENOASR: Debiasing ASRs through Selective Denoising
  186. Development of CNN Architectures using Transfer Learning Methods for Medical Image Classification
  187. Influential Language Data Selection via Gradient Trajectory Pursuit
  188. Universal approximation property of ODENet and ResNet with a single activation function
  189. Atomic Fact Decomposition Helps Attributed Question Answering
  190. DI-MaskDINO: A Joint Object Detection and Instance Segmentation Model
  191. Privacy-hardened and hallucination-resistant synthetic data generation with logic-solvers
  192. PLDR-LLM: Large Language Model from Power Law Decoder Representations
  193. ClimaQA: An Automated Evaluation Framework for Climate Question Answering Models
  194. AskBeacon -- Performing genomic data exchange and analytics with natural language
  195. Graph Transformers Dream of Electric Flow
  196. Hyperboloid GPLVM for Discovering Continuous Hierarchies via Nonparametric Estimation
  197. MPT: A Large-scale Multi-Phytoplankton Tracking Benchmark
  198. Governing equation discovery of a complex system from snapshots
  199. Lower Bounds for Time-Varying Kernelized Bandits
  200. Methods of improving LLM training stability
  201. Efficient Antibody Structure Refinement Using Energy-Guided SE(3) Flow Matching
  202. The Tug of War Within: Mitigating the Fairness-Privacy Conflicts in Large Language Models
  203. NucleiMix: Realistic Data Augmentation for Nuclei Instance Segmentation
  204. Linear Partial Gromov-Wasserstein Embedding
  205. Satori: Towards Proactive AR Assistant with Belief-Desire-Intention User Modeling
  206. SafetyAnalyst: Interpretable, Transparent, and Steerable Safety Moderation for AI Behavior
  207. FastAttention: Extend FlashAttention2 to NPUs and Low-resource GPUs
  208. Visual Question Answering in Ophthalmology: A Progressive and Practical Perspective
  209. RKadiyala at SemEval-2024 Task 8: Black-Box Word-Level Text Boundary Detection in Partially Machine Generated Texts
  210. Parsimonious Dynamic Mode Decomposition: A Robust and Automated Approach for Optimally Sparse Mode Selection in Complex Systems
  211. Memory-Efficient Large Language Models for Program Repair with Semantic-Guided Patch Generation
  212. GE2E-KWS: Generalized End-to-End Training and Evaluation for Zero-shot Keyword Spotting
  213. Chatting with Bots: AI, Speech Acts, and the Edge of Assertion
  214. CKSP: Cross-species Knowledge Sharing and Preserving for Universal Animal Activity Recognition
  215. Fire and Smoke Detection with Burning Intensity Representation
  216. A Statistical Analysis of LLMs' Self-Evaluation Using Proverbs
  217. LLMScan: Causal Scan for LLM Misbehavior Detection
  218. General Frameworks for Conditional Two-Sample Testing
  219. Graph-Structured Trajectory Extraction from Travelogues
  220. Benchmarking Multi-Scene Fire and Smoke Detection
  221. EVC-MF: End-to-end Video Captioning Network with Multi-scale Features
  222. SoK: Dataset Copyright Auditing in Machine Learning Systems
  223. Real-time Sub-milliwatt Epilepsy Detection Implemented on a Spiking Neural Network Edge Inference Processor
  224. Assessing and improving reliability of neighbor embedding methods: a map-continuity perspective
  225. Foundation Models for Remote Sensing and Earth Observation: A Survey
  226. Convex Markov Games: A New Frontier for Multi-Agent Reinforcement Learning
  227. Sampling Transferable Graph Neural Networks with Limited Graph Information
  228. ViMGuard: A Novel Multi-Modal System for Video Misinformation Guarding
  229. Dynamic Adaptive Rank Space Exploration for Efficient Sentiment Analysis with Large Language Models