mlsanityData to 14 Oct 2026

Papers

New on arXiv

Mon 17 Feb 2025

484 papers

  1. What Are They Filtering Out? An Experimental Benchmark of Filtering Strategies for Harm Reduction in Pretraining DatasetsLLM safety and security → Safety alignment, refusal and guardrails
  2. Invisible Walls in Cities: Designing LLM Agent to Predict Urban Segregation Experience with Social Media ContentLLM agents and tool use → Social simulation and multi-agent debate
  3. Rotate, Clip, and Partition: Towards W2A4KV4 Quantization by Integrating Rotation and Learnable Non-uniform QuantizerEfficient LLM inference and serving → KV cache quantization
  4. A Comprehensive Survey on Concept Erasure in Text-to-Image Diffusion ModelsDiffusion models → Robustness, privacy and adversarial aspects
  5. CoDiff: Conditional Diffusion Model for Collaborative 3D Object DetectionDiffusion models → Image generation, text-to-image and editing
  6. Thinking Preference OptimizationLLM reasoning → Test-time compute and efficient thinking +1
  7. Unveiling Privacy Risks in LLM Agent MemoryLLM agents and tool use → Agent threats, guardrails and governance
  8. Unveiling the Magic of Code Reasoning through Hypothesis Decomposition and AmendmentLLM reasoning → Reasoning for agents, planning and code
  9. HedgeAgents: A Balanced-aware Multi-agent Financial Trading SystemLLM agents and tool use → Financial trading and forecasting agents
  10. Locally-Deployed Chain-of-Thought (CoT) Reasoning Model in Chemical Engineering: Starting from 30 Experimental DataLLM reasoning → Clinical and biomedical applications
  11. UltraGen: Extremely Fine-grained Controllable Generation via Attribute Reconstruction and Global Preference OptimizationLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
  12. IMLE Policy: Fast and Sample Efficient Visuomotor Policy Learning via Implicit Maximum Likelihood EstimationDiffusion models → Diffusion and flow policies for robotics +1
  13. LanP: Rethinking the Impact of Language Priors in Large Vision-Language ModelsLLM reasoning → Hallucination detection and mitigation +1
  14. Hovering Flight of Soft-Actuated Insect-Scale Micro Aerial Vehicles using Deep Reinforcement LearningDeep reinforcement learning methods → RL for robot navigation and UAV control
  15. Towards Mechanistic Interpretability of Graph Transformers via Attention GraphsMechanistic interpretability → Circuits and mechanistic analysis
  16. REAL-MM-RAG: A Real-World Multi-Modal Retrieval BenchmarkRetrieval-augmented generation → RAG pipeline design and evaluation
  17. X-IL: Exploring the Design Space of Imitation Learning PoliciesOffline RL and imitation learning from data → Imitation learning methods
  18. Towards Fusing Point Cloud and Visual Representations for Imitation LearningOffline RL and imitation learning from data → Robot manipulation imitation learning
  19. Evaluating Step-by-step Reasoning Traces: A SurveyLLM reasoning → Reasoning benchmarks and evaluation
  20. Connecting Large Language Model Agent to High Performance Computing ResourceLLM agents and tool use → Web, search, and research agents
  21. Integrating Expert Knowledge into Logical Programs via LLMsLLM reasoning → Reasoning benchmarks and evaluation
  22. Learning to Reason at the Frontier of LearnabilityLLM reasoning → Reinforcement learning for reasoning
  23. InfoQuest: Evaluating Multi-Turn Dialogue Agents for Open-Ended Conversations with Hidden ContextLLM agents and tool use → General LLM agent frameworks and benchmarks
  24. Fate: Fast Edge Inference of Mixture-of-Experts Models via Cross-Layer GateMixture-of-experts → Efficient MoE training and inference systems
  25. Tactic: Adaptive Sparse Attention with Clustering and Distribution Fitting for Long-Context LLMsEfficient LLM inference and serving → KV cache optimization
  26. Revisiting the Test-Time Scaling of o1-like Models: Do they Truly Possess Test-Time Scaling Capabilities?LLM reasoning → Test-time compute and efficient thinking
  27. Zero Token-Driven Deep Thinking in LLMs: Unlocking the Full Potential of Existing Parameters via Cyclic RefinementLLM reasoning → Test-time compute and efficient thinking +1
  28. Enhancing Frame Detection with Retrieval Augmented GenerationRetrieval-augmented generation → Multimodal RAG
  29. Diffusion Models without Classifier-free GuidanceDiffusion models → Diffusion foundations and sampling
  30. HARBOR: Exploring Persona Dynamics in Multi-Agent CompetitionLLM agents and tool use → Financial trading and forecasting agents
  31. HermesFlow: Seamlessly Closing the Gap in Multimodal Understanding and GenerationMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
  32. Diffusion-Sharpening: Fine-tuning Diffusion Models with Denoising Trajectory SharpeningDiffusion models → Diffusion and flow policies for robotics
  33. Fast or Better? Balancing Accuracy and Cost in Retrieval-Augmented Generation with Flexible User ControlRetrieval-augmented generation → RAG pipeline design and evaluation
  34. Small Models Struggle to Learn from Strong ReasonersLLM reasoning → Prompting and chain-of-thought reasoning
  35. SoftCoT: Soft Chain-of-Thought for Efficient Reasoning with LLMsLLM reasoning → Prompting and chain-of-thought reasoning
  36. Transformer Dynamics: A neuroscientific approach to interpretability of large language modelsMechanistic interpretability → Circuits and mechanistic analysis
  37. Scaling Autonomous Agents via Automatic Reward Modeling And PlanningLLM reasoning → Reasoning for agents, planning and code +2
  38. RA-MTR: A Retrieval Augmented Multi-Task Reader based Approach for Inspirational Quote Extraction from Long DocumentsRetrieval-augmented generation → RAG robustness and adaptive retrieval
  39. On the Query Complexity of Verifier-Assisted Language GenerationLLM reasoning → Test-time compute and efficient thinking
  40. PRISM: Self-Pruning Intrinsic Selection Method for Training-Free Multimodal Data SelectionMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
  41. Scaling Test-Time Compute Without Verification or RL is SuboptimalLLM reasoning → Test-time compute and efficient thinking
  42. A-MEM: Agentic Memory for LLM AgentsLLM agents and tool use → Agent memory systems
  43. Descriminative-Generative Custom Tokens for Vision-Language ModelsMultimodal LLMs / vision-language models → Visual token pruning and efficiency
  44. A Study on Leveraging Search and Self-Feedback for Agent ReasoningLLM reasoning → Reasoning for agents, planning and code
  45. How Compositional Generalization and Creativity Improve as Diffusion Models are TrainedDiffusion models → Diffusion foundations and sampling
  46. HumanGif: Single-View Human Diffusion with Generative PriorDiffusion models → 3D, point cloud and scene generation
  47. TokenSkip: Controllable Chain-of-Thought Compression in LLMsLLM reasoning → Test-time compute and efficient thinking
  48. PhysReason: A Comprehensive Benchmark towards Physics-Based ReasoningLLM reasoning → Spatial and embodied reasoning
  49. A Survey on Bridging EEG Signals and Generative AI: From Image and Text to BeyondDiffusion models → Medical imaging and segmentation
  50. KnowPath: Knowledge-enhanced Reasoning via LLM-generated Inference Paths over Knowledge GraphsLLM reasoning → Knowledge- and tool-augmented reasoning
  51. SafeChain: Safety of Language Models with Long Chain-of-Thought Reasoning CapabilitiesLLM reasoning → Reasoning for agents, planning and code
  52. Teaching LLMs According to Their Aptitude: Adaptive Reasoning for Mathematical Problem SolvingLLM reasoning → Mathematical reasoning +1
  53. Atom of Thoughts for Markov LLM Test-Time ScalingLLM reasoning → Test-time compute and efficient thinking
  54. Characterizing Photorealism and Artifacts in Diffusion Model-Generated ImagesDiffusion models → Image generation, text-to-image and editing
  55. Image Inversion: A Survey from GANs to Diffusion and BeyondDiffusion models → Diffusion foundations and sampling
  56. Learning Generalizable Prompt for CLIP with Class Similarity KnowledgeMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
  57. Theoretical Barriers in Bellman-Based Reinforcement LearningDeep reinforcement learning methods → RL theory and sample complexity
  58. STRIVE: Structured Reasoning for Self-Improvement in Claim VerificationLLM reasoning → Reasoning benchmarks and evaluation
  59. Massively Scaling Explicit Policy-conditioned Value FunctionsDeep reinforcement learning methods → Deep RL algorithms and representations
  60. FitLight: Federated Imitation Learning for Plug-and-Play Autonomous Traffic Signal ControlOffline RL and imitation learning from data → Imitation and offline RL for driving +1
  61. GRAPHGPT-O: Synergistic Multimodal Comprehension and Generation on GraphsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
  62. EssayJudge: A Multi-Granular Benchmark for Assessing Automated Essay Scoring Capabilities of Multimodal Large Language ModelsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
  63. Neural Guided Diffusion BridgesDiffusion models → Diffusion foundations and sampling
  64. Exploring Quantum Control Landscape and Solution Space Complexity through Dimensionality Reduction & Optimization AlgorithmsDeep reinforcement learning methods → Quantum reinforcement learning
  65. MMRC: A Large-Scale Benchmark for Understanding Multimodal Large Language Model in Real-World ConversationMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
  66. Building A Proof-Oriented Programmer That Is 64% Better Than GPT-4o Under Data ScarcityLLM reasoning → Mathematical reasoning
  67. LIMR: Less is More for RL ScalingLLM reasoning → Reinforcement learning for reasoning
  68. Leveraging Dual Process Theory in Language Agent Framework for Real-time Simultaneous Human-AI CollaborationLLM agents and tool use → General LLM agent frameworks and benchmarks
  69. Hypothesis-Driven Theory-of-Mind Reasoning for Large Language ModelsLLM reasoning → Reasoning benchmarks and evaluation
  70. Does Knowledge About Perceptual Uncertainty Help an Agent in Automated Driving?End-to-end autonomous driving → Reinforcement learning for driving
  71. Defining and Evaluating Visual Language Models' Basic Spatial Abilities: A Perspective from PsychometricsMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
  72. StructTransform: A Scalable Attack Surface for Safety-Aligned Large Language ModelsLLM alignment / RLHF / preference optimisation → Safety alignment and jailbreak attacks
  73. Can LLM Agents Maintain a Persona in Discourse?LLM agents and tool use → Social simulation and multi-agent debate
  74. Code-Vision: Evaluating Multimodal LLMs Logic Understanding and Code Generation CapabilitiesMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
  75. Intersectional Fairness in Reinforcement Learning with Large State and Constraint SpacesDeep reinforcement learning methods → RL for games and combinatorial optimization
  76. Less is More: Compact Clue Selection for Efficient Retrieval-Augmented Generation ReasoningLLM reasoning → Knowledge- and tool-augmented reasoning +1
  77. Table-Critic: A Multi-Agent Framework for Collaborative Criticism and Refinement in Table ReasoningLLM reasoning → Reasoning for agents, planning and code +1
  78. BackdoorDM: A Comprehensive Benchmark for Backdoor Learning on Diffusion ModelDiffusion models → Robustness, privacy and adversarial aspects +1
  79. video-SALMONN-o1: Reasoning-enhanced Audio-visual Large Language ModelLLM reasoning → Audio-language model reasoning
  80. Cognitive-Aligned Document Selection for Retrieval-augmented GenerationRetrieval-augmented generation → RAG pipeline design and evaluation
  81. Warmup-Distill: Bridge the Distribution Mismatch between Teacher and Student before Knowledge DistillationKnowledge distillation → Knowledge distillation for LLMs
  82. Language Models Can See Better: Visual Contrastive Decoding For LLM Multimodal ReasoningLLM reasoning → Multimodal reasoning
  83. ILIAS: Instance-Level Image retrieval At ScaleMultimodal LLMs / vision-language models → Document understanding and multimodal RAG
  84. FUNCTO: Function-Centric One-Shot Imitation Learning for Tool ManipulationOffline RL and imitation learning from data → Robot manipulation imitation learning
  85. SQL-o1: A Self-Reward Heuristic Dynamic Search Method for Text-to-SQLSynthetic data and self-improvement for LLMs → Synthetic reasoning data and bootstrapping
  86. Mitigating Visual Knowledge Forgetting in MLLM Instruction-tuning via Modality-decoupled Gradient DescentLLM reasoning → Multimodal reasoning
  87. MT-RAIG: Novel Benchmark and Evaluation Framework for Retrieval-Augmented Insight Generation over Multiple TablesRetrieval-augmented generation → Knowledge-graph and structured-knowledge RAG
  88. "See the World, Discover Knowledge": A Chinese Factuality Evaluation for Large Vision Language ModelsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
  89. LLM Agents Making Agent ToolsLLM agents and tool use → Software engineering coding agents
  90. MVTokenFlow: High-quality 4D Content Generation using Multiview Token FlowDiffusion models → 3D, point cloud and scene generation
  91. Improve LLM-as-a-Judge Ability as a General AbilityLLM reasoning → Reasoning benchmarks and evaluation +1
  92. MathFimer: Enhancing Mathematical Reasoning by Expanding Reasoning Steps through Fill-in-the-Middle TaskLLM reasoning → Mathematical reasoning
  93. RIDE: Enhancing Large Language Model Alignment through Restyled In-Context Learning Demonstration ExemplarsLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
  94. MaskGWM: A Generalizable Driving World Model with Video Mask ReconstructionWorld models → World models for autonomous driving +1
  95. Uncovering the Impact of Chain-of-Thought Reasoning for Direct Preference Optimization: Lessons from Text-to-SQLLLM reasoning → Mathematical reasoning +1
  96. MMXU: A Multi-Modal and Multi-X-ray Understanding Dataset for Disease ProgressionMultimodal LLMs / vision-language models → Medical vision-language models
  97. Competing LLM Agents in a Non-Cooperative Game of Opinion PolarisationLLM agents and tool use → Social simulation and multi-agent debate
  98. DELMAN: Dynamic Defense Against Large Language Model Jailbreaking with Model EditingLLM safety and security → Jailbreaking
  99. Membership Inference Attacks for Face Images Against Fine-Tuned Latent Diffusion ModelsDiffusion models → Robustness, privacy and adversarial aspects +1
  100. Maximum Entropy Reinforcement Learning with Diffusion PolicyDiffusion models → Diffusion and flow policies for robotics +1
All 484
  1. GraphThought: Graph Combinatorial Optimization with Thought GenerationLLM reasoning → Prompting and chain-of-thought reasoning
  2. An Actor-Critic Algorithm with Function Approximation for Risk Sensitive Cost Markov Decision ProcessesDeep reinforcement learning methods → RL theory and sample complexity
  3. DR.GAP: Mitigating Bias in Large Language Models using Gender-Aware Prompting with Decoupled ReasoningLLM reasoning → Reasoning benchmarks and evaluation
  4. Can LLM Watermarks Robustly Prevent Unauthorized Knowledge Distillation?LLM safety and security → Watermarking generated content and models +1
  5. Large Language Models and Mathematical Reasoning FailuresLLM reasoning → Mathematical reasoning
  6. InfiR : Crafting Effective Small Language Models and Multimodal Small Language Models in ReasoningLLM reasoning → Reasoning benchmarks and evaluation +1
  7. Towards Reasoning Ability of Small Language ModelsLLM reasoning → Reasoning benchmarks and evaluation
  8. Continuous Diffusion Model for Language ModelingDiffusion models → Discrete and text diffusion
  9. Equilibrate RLHF: Towards Balancing Helpfulness-Safety Trade-off in Large Language ModelsLLM alignment / RLHF / preference optimisation → Safety alignment and jailbreak attacks
  10. Evaluating o1-Like LLMs: Unlocking Reasoning for Translation through Comprehensive AnalysisLLM reasoning → Reasoning benchmarks and evaluation
  11. Simulus: Combining Improvements in Sample-Efficient World Model AgentsWorld models → Latent dynamics models and model-based RL +1
  12. Control-CLIP: Decoupling Category and Style Guidance in CLIP for Specific-Domain GenerationDiffusion models → Image generation, text-to-image and editing
  13. AURORA:Automated Training Framework of Universal Process Reward Models via Ensemble Prompting and Reverse VerificationLLM reasoning → Reinforcement learning for reasoning +1
  14. Generative Multi-Agent Collaboration in Embodied AI: A Systematic ReviewLLM agents and tool use → Multimodal and embodied agents
  15. Learning to Keep a Promise: Scaling Language Model Decoding Parallelism with Learned Asynchronous DecodingEfficient LLM inference and serving → Speculative decoding
  16. SayAnything: Audio-Driven Lip Synchronization with Conditional Video DiffusionDiffusion models → Audio, speech and music
  17. Investigating Inference-time Scaling for Chain of Multi-modal Thought: A Preliminary StudyLLM reasoning → Multimodal reasoning
  18. Token Pruning in Multimodal Large Language Models: Are We Solving the Right Problem?Multimodal LLMs / vision-language models → Visual token pruning and efficiency +1
  19. Stop Looking for Important Tokens in Multimodal Language Models: Duplication Matters MoreMultimodal LLMs / vision-language models → Visual token pruning and efficiency +1
  20. Why Vision Language Models Struggle with Visual Arithmetic? Towards Enhanced Chart and Geometry UnderstandingLLM reasoning → Multimodal reasoning +1
  21. Ontology-Guided Reverse Thinking Makes Large Language Models Stronger on Knowledge Graph Question AnsweringLLM reasoning → Knowledge- and tool-augmented reasoning
  22. Enhancing Offline Model-Based RL via Active Model Selection: A Bayesian Optimization PerspectiveOffline RL and imitation learning from data → Offline RL algorithms
  23. Learning to Sample Effective and Diverse Prompts for Text-to-Image GenerationDiffusion models → Image generation, text-to-image and editing
  24. FastMCTS: A Simple Sampling Strategy for Data SynthesisLLM reasoning → Test-time compute and efficient thinking +1
  25. Focused-DPO: Enhancing Code Generation Through Focused Preference Optimization on Error-Prone PointsLLM reasoning → Reasoning for agents, planning and code
  26. Adversary-Aware DPO: Enhancing Safety Alignment in Vision Language Models via Adversarial TrainingLLM alignment / RLHF / preference optimisation → Safety alignment and jailbreak attacks +1
  27. Connector-S: A Survey of Connectors in Multi-modal Large Language ModelsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
  28. AGrail: A Lifelong Agent Guardrail with Effective and Adaptive Safety DetectionLLM agents and tool use → Agent threats, guardrails and governance +1
  29. Does RAG Really Perform Bad For Long-Context Processing?Retrieval-augmented generation → RAG pipeline design and evaluation
  30. Which Retain Set Matters for LLM Unlearning? A Case Study on Entity UnlearningLLM safety and security → Machine unlearning
  31. Learning Dexterous Bimanual Catch Skills through Adversarial-Cooperative Heterogeneous-Agent Reinforcement LearningDeep reinforcement learning methods → RL for robot locomotion and manipulation
  32. SMART: Self-Aware Agent for Tool Overuse MitigationLLM reasoning → Reasoning for agents, planning and code +1
  33. FLAG-Trader: Fusion LLM-Agent with Gradient-based Reinforcement Learning for Financial TradingLLM reasoning → Reasoning for agents, planning and code +1
  34. Do we Really Need Visual Instructions? Towards Visual Instruction-Free Fine-tuning for Large Vision-Language ModelsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
  35. Counterfactual-Consistency Prompting for Relative Temporal Understanding in Large Language ModelsLLM reasoning → Knowledge- and tool-augmented reasoning
  36. TimeCAP: Learning to Contextualize, Augment, and Predict Time Series Events with Large Language Model AgentsLLM agents and tool use → Financial trading and forecasting agents
  37. LayAlign: Enhancing Multilingual Reasoning in Large Language Models via Layer-Wise Adaptive Fusion and Alignment StrategyLLM reasoning → Reasoning benchmarks and evaluation
  38. ToolCoder: A Systematic Code-Empowered Tool Learning Framework for Large Language ModelsLLM agents and tool use → Tool learning and function calling
  39. On the Diminishing Returns of Complex Robust RAG Training in the Era of Powerful LLMsRetrieval-augmented generation → RAG robustness and adaptive retrieval
  40. HellaSwag-Pro: A Large-Scale Bilingual Benchmark for Evaluating the Robustness of LLMs in Commonsense ReasoningLLM reasoning → Reasoning benchmarks and evaluation
  41. CCJA: Context-Coherent Jailbreak Attack for Aligned Large Language ModelsLLM alignment / RLHF / preference optimisation → Safety alignment and jailbreak attacks +1
  42. Robot Deformable Object Manipulation via NMPC-generated Demonstrations in Deep Reinforcement LearningDeep reinforcement learning methods → RL for robot locomotion and manipulation
  43. RAG vs. GraphRAG: A Systematic Evaluation and Key InsightsRetrieval-augmented generation → Knowledge-graph and structured-knowledge RAG
  44. Sparse Autoencoder Features for Classifications and TransferabilityMechanistic interpretability → SAE features and their applications
  45. GeoDANO: Geometric VLM with Domain Agnostic Vision EncoderMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
  46. Mimicking the Familiar: Dynamic Command Generation for Information Theft Attacks in LLM Tool-Learning SystemLLM agents and tool use → Agent threats, guardrails and governance
  47. Explorer: Scaling Exploration-driven Web Trajectory Synthesis for Multimodal Web AgentsLLM agents and tool use → Web, search, and research agents
  48. SAIF: A Sparse Autoencoder Framework for Interpreting and Steering Instruction Following of Language ModelsMechanistic interpretability → SAE features and their applications
  49. Nuclear Deployed: Analyzing Catastrophic Risks in Decision-making of Autonomous LLM AgentsLLM reasoning → Reasoning for agents, planning and code +1
  50. A Framework for Learning Scoring Rules in Autonomous Driving Planning SystemsEnd-to-end autonomous driving → Imitation-learning end-to-end planners
  51. Inverse Flow and Consistency ModelsDiffusion models → Flow matching, time series and science
  52. FINCH: Locally Visualizing Higher-Order Feature Interactions in Black Box Models
  53. A new framework for prognostics in decentralized industries: Enhancing fairness, security, and transparency through Blockchain and Federated Learning
  54. Addressing Moral Uncertainty using Large Language Models for Ethical Decision-Making
  55. AI Mimicry and Human Dignity: Chatbot Use as a Violation of Self-Respect
  56. That is Unacceptable: the Moral Foundations of Canceling
  57. Investigating Role of Personal Factors in Shaping Responses to Active Shooter Incident using Machine Learning
  58. zScore: A Universal Decentralised Reputation System for the Blockchain Economy
  59. Efficient Finetuning for Dimensional Speech Emotion Recognition in the Age of Transformers
  60. Towards Environment-Sensitive Molecular Inference via Mixed Integer Linear Programming
  61. Event-based Solutions for Human-centered Applications: A Comprehensive Review
  62. LLM4EFFI: Leveraging Large Language Models to Enhance Code Efficiency and Correctness
  63. Pretraining Frequency Predicts Compositional Generalization of CLIP on Real-World Tasks
  64. VANPY: Voice Analysis Framework
  65. Frequency-Aware Masked Autoencoders for Human Activity Recognition using Accelerometers
  66. Fusion of ECG Foundation Model Embeddings to Improve Early Detection of Acute Coronary Syndromes
  67. Model-free system identification of surface ships in waves via Hankel dynamic mode decomposition with control
  68. Feature Engineering Approach to Building Load Prediction: A Case Study for Commercial Building Chiller Plant Optimization in Tropical Weather
  69. One for All: A General Framework of LLMs-based Multi-Criteria Decision Making on Human Expert Level
  70. TSS GAZ PTP: Towards Improving Gumbel AlphaZero with Two-stage Self-play for Multi-constrained Electric Vehicle Routing Problems
  71. Logic.py: Bridging the Gap between LLMs and Constraint Solvers
  72. Market-Derived Financial Sentiment Analysis: Context-Aware Language Models for Crypto Forecasting
  73. High-Dynamic Radar Sequence Prediction for Weather Nowcasting Using Spatiotemporal Coherent Gaussian Representation
  74. FOCUS on Contamination: Hydrology-Informed Noise-Aware Learning for Geospatial PFAS Mapping
  75. NOTA: Multimodal Music Notation Understanding for Visual Large Language Model
  76. EgoSpeak: Learning When to Speak for Egocentric Conversational Agents in the Wild
  77. Diverse Topology Optimization using Modulated Neural Fields
  78. Web Phishing Net (WPN): A scalable machine learning approach for real-time phishing campaign detection
  79. SmartLLM: Smart Contract Auditing using Custom Generative AI
  80. Large Language Models Can Help Mitigate Barren Plateaus in Quantum Neural Networks
  81. Multi-Agent Actor-Critic Generative AI for Query Resolution and Analysis
  82. Time-series attribution maps with regularized contrastive learning
  83. Achieving Upper Bound Accuracy of Joint Training in Continual Learning
  84. Bridging the Data Gap in AI Reliability Research and Establishing DR-AIR, a Comprehensive Data Repository for AI Reliability
  85. Scalable Back-Propagation-Free Training of Optical Physics-Informed Neural Networks
  86. Hybrid Machine Learning Models for Intrusion Detection in IoT: Leveraging a Real-World IoT Dataset
  87. Linear Diffusion Networks
  88. OCT Data is All You Need: How Vision Transformers with and without Pre-training Benefit Imaging
  89. Pragmatics in the Era of Large Language Models: A Survey on Datasets, Evaluation, Opportunities and Challenges
  90. Alignment and Adversarial Robustness: Are More Human-Like Models More Secure?
  91. Soft Robotics for Search and Rescue: Advancements, Challenges, and Future Directions
  92. Factual Inconsistency in Data-to-Text Generation Scales Exponentially with LLM Size: A Statistical Validation
  93. Positional Encoding in Transformer-Based Time Series Models: A Survey
  94. ScriptoriumWS: A Code Generation Assistant for Weak Supervision
  95. A Pathwise Coordinate Descent Algorithm for LASSO Penalized Quantile Regression
  96. Classifiers of Data Sharing Statements in Clinical Trial Records
  97. ConFit v2: Improving Resume-Job Matching using Hypothetical Resume Embedding and Runner-Up Hard-Negative Mining
  98. Detecting Systematic Weaknesses in Vision Models along Predefined Human-Understandable Dimensions
  99. Human-centered explanation does not fit all: The interplay of sociotechnical, cognitive, and individual factors in the effect AI explanations in algorithmic decision-making
  100. Stability-based Generalization Bounds for Variational Inference
  101. QuZO: Quantized Zeroth-Order Fine-Tuning for Large Language Models
  102. Understanding Silent Data Corruption in LLM Training
  103. A Novel Unified Parametric Assumption for Nonconvex Optimization
  104. LM Agents for Coordinating Multi-User Information Gathering
  105. Learning Plasma Dynamics and Robust Rampdown Trajectories with Predict-First Experiments at TCV
  106. Stability Bounds for Smooth Optimal Transport Maps and their Statistical Implications
  107. From Dense to Dynamic: Token-Difficulty Driven MoEfication of Pre-Trained LLMs
  108. Adversarial Debiasing for Unbiased Parameter Recovery
  109. Can Language Models Learn Typologically Implausible Languages?
  110. Mean-Field Bayesian Optimisation
  111. Warmup Generations: A Task-Agnostic Approach for Guiding Sequence-to-Sequence Learning with Unsupervised Initial State Generation
  112. From Gaming to Research: GTA V for Synthetic Data Generation for Robotics and Navigations
  113. Chaotic Map based Compression Approach to Classification
  114. SMOL: Professionally translated parallel data for 115 under-represented languages
  115. Per-channel autoregressive linear prediction padding in tiled CNN processing of 2D spatial data
  116. Symmetric Rank-One Quasi-Newton Methods for Deep Learning Using Cubic Regularization
  117. Duo Streamers: A Streaming Gesture Recognition Framework
  118. On the Computational Tractability of the (Many) Shapley Values
  119. Data-Efficient Limited-Angle CT Using Deep Priors and Regularization
  120. Independence Tests for Language Models
  121. Towards Practical First-Order Model Counting
  122. Healthcare cost prediction for heterogeneous patient profiles using deep learning models with administrative claims data
  123. Modeling Narrative Structure in Latin Epic Poetry with Automatically Generated Story Grammars
  124. NeuroStrata: Harnessing Neurosymbolic Paradigms for Improved Design, Testability, and Verifiability of Autonomous CPS
  125. Multi-dimensional Test Design
  126. SmokeNet: Efficient Smoke Segmentation Leveraging Multiscale Convolutions and Multiview Attention Mechanisms
  127. On the Learnability of Knot Invariants: Representation, Predictability, and Neural Similarity
  128. PUGS: Zero-shot Physical Understanding with Gaussian Splatting
  129. Identifying the Best Transition Law
  130. Creating a Causally Grounded Rating Method for Assessing the Robustness of AI Models for Time-Series Forecasting
  131. Subjective Logic Encodings
  132. GLoT: A Novel Gated-Logarithmic Transformer for Efficient Sign Language Translation
  133. IMPACTX: improving model performance by appropriately constraining the training with teacher explanations
  134. Towards Efficient Molecular Property Optimization with Graph Energy Based Models
  135. Optimal Brain Iterative Merging: Mitigating Interference in LLM Merging
  136. Spatiotemporal-aware Trend-Seasonality Decomposition Network for Traffic Flow Forecasting
  137. Suboptimal Shapley Value Explanations
  138. Learning Getting-Up Policies for Real-World Humanoid Robots
  139. VoLUT: Efficient Volumetric streaming enhanced by LUT-based super-resolution
  140. Idiosyncrasies in Large Language Models
  141. Learning Smooth and Expressive Interatomic Potentials for Physical Property Prediction
  142. FLARE: Feed-forward Geometry, Appearance and Camera Estimation from Uncalibrated Sparse Views
  143. REVERSUM: A Multi-staged Retrieval-Augmented Generation Method to Enhance Wikipedia Tail Biographies through Personal Narratives
  144. MagicArticulate: Make Your 3D Models Articulation-Ready
  145. LaM-SLidE: Latent Space Modeling of Spatial Dynamical Systems via Linked Entities
  146. Hypernym Bias: Unraveling Deep Classifier Training Dynamics through the Lens of Class Hierarchy
  147. Minimal Ranks, Maximum Confidence: Parameter-efficient Uncertainty Quantification for LoRA
  148. LLMs on the Line: Data Determines Loss-to-Loss Scaling Laws
  149. SWE-Lancer: Can Frontier LLMs Earn 1 Million from Real-World Freelance Software Engineering?
  150. A Monocular Event-Camera Motion Capture System
  151. Generative Personality Simulation via Theory-Informed Structured Interview
  152. Using the Path of Least Resistance to Explain Deep Networks
  153. Relational Norms for Human-AI Cooperation
  154. Token Communications: A Large Model-Driven Framework for Cross-modal Context-aware Semantic Communications
  155. Meta-Statistical Learning: Supervised Learning of Statistical Estimators
  156. Unifying Explainable Anomaly Detection and Root Cause Analysis in Dynamical Systems
  157. APB: Accelerating Distributed Long-Context Inference by Passing Compressed Context Blocks across GPUs
  158. VLM2-Bench: A Closer Look at How Well VLMs Implicitly Link Explicit Matching Visual Cues
  159. AdaSplash: Adaptive Sparse Flash Attention
  160. Unhackable Temporal Rewarding for Scalable Video MLLMs
  161. Can LLMs Simulate Social Media Engagement? A Study on Action-Guided Response Generation
  162. CONSTRUCTA: Automating Commercial Construction Schedules in Fabrication Facilities with Large Language Models
  163. Autoformalization in the Wild: Assessing LLMs on Real-World Mathematical Definitions
  164. AI-generated Text Detection with a GLTR-based Approach
  165. Low-Rank Thinning
  166. Culture is Not Trivia: Sociocultural Theory for Cultural NLP
  167. Designing Role Vectors to Improve LLM Inference Behaviour
  168. A Dual-Perspective NLG Meta-Evaluation Framework with Automatic Benchmark and Better Interpretability
  169. How to Upscale Neural Networks with Scaling Law? A Survey and Practical Guidelines
  170. SpeechT: Findings of the First Mentorship in Speech Translation
  171. Classifying the Stoichiometry of Virus-like Particles with Interpretable Machine Learning
  172. The geometry of BERT
  173. Masked Latent Prediction and Classification for Self-Supervised Audio Representation Learning
  174. Enhancing Transparent Object Pose Estimation: A Fusion of GDR-Net and Edge Detection
  175. Unsupervised Structural-Counterfactual Generation under Domain Shift
  176. Reconfigurable Intelligent Surfaces-Assisted Integrated Access and Backhaul
  177. Demographic Attributes Prediction from Speech Using WavLM Embeddings
  178. Improved Wildfire Spread Prediction with Time-Series Data and the WSTS+ Benchmark
  179. NaturalL2S: End-to-End High-quality Multispeaker Lip-to-Speech Synthesis with Differential Digital Signal Processing
  180. Merging Language and Domain Specific Models: The Impact on Technical Vocabulary Acquisition
  181. Presumed Cultural Identity: How Names Shape LLM Responses
  182. MultiFlow: A unified deep learning framework for multi-vessel classification, segmentation and clustering of phase-contrast MRI validated on a multi-site single ventricle patient cohort
  183. On the Logic Elements Associated with Round-Off Errors and Gaussian Blur in Image Registration: A Simple Case of Commingling
  184. Selective Task Group Updates for Multi-Task Optimization
  185. Welfare as a Guiding Principle for Machine Learning -- From Compass, to Lens, to Roadmap
  186. Generating Text from Uniform Meaning Representation
  187. Robust 6DoF Pose Tracking Considering Contour and Interior Correspondence Uncertainty for AR Assembly Guidance
  188. A MIMO Wireless Channel Foundation Model via CIR-CSI Consistency
  189. Balancing Truthfulness and Informativeness with Uncertainty-Aware Instruction Fine-Tuning
  190. pySLAM: An Open-Source, Modular, and Extensible Framework for SLAM
  191. Refined PAC-Bayes Bounds for Offline Bandits
  192. Quantum Data Encoding and Variational Algorithms: A Framework for Hybrid Quantum Classical Machine Learning
  193. HalluEntity: Benchmarking and Understanding Entity-Level Hallucination Detection
  194. Step-Audio: Unified Understanding and Generation in Intelligent Speech Interaction
  195. Sharp-PINNs: staggered hard-constrained physics-informed neural networks for phase field modelling of corrosion
  196. Deep Spatio-Temporal Neural Network for Air Quality Reanalysis
  197. On Representational Dissociation of Language and Arithmetic in Large Language Models
  198. Continual Learning Should Move Beyond Incremental Classification
  199. BRIGHTER: BRIdging the Gap in Human-Annotated Textual Emotion Recognition Datasets for 28 Languages
  200. From Text to Trust: Empowering AI-assisted Decision Making with Adaptive LLM-powered Analysis
  201. VLP: Vision-Language Preference Learning for Embodied Manipulation
  202. On the robustness of ChatGPT in teaching Korean Mathematics
  203. PreAdaptFWI: Pretrained-Based Adaptive Residual Learning for Full-Waveform Inversion Without Dataset Dependency
  204. Adversarial Alignment for LLMs Requires Simpler, Reproducible, and More Measurable Objectives
  205. Ansatz-free Hamiltonian learning with Heisenberg-limited scaling
  206. DLFR-VAE: Dynamic Latent Frame Rate VAE for Video Generation
  207. CAMEL: Continuous Action Masking Enabled by Large Language Models for Reinforcement Learning
  208. Continual Quantization-Aware Pre-Training: When to transition from 16-bit to 1.58-bit pre-training for BitNet language models?
  209. Rethinking Benign Overfitting in Two-Layer Neural Networks
  210. From Open-Vocabulary to Vocabulary-Free Semantic Segmentation
  211. Revisiting Classification Taxonomy for Grammatical Errors
  212. Stonefish: Supporting Machine Learning Research in Marine Robotics
  213. Bitnet.cpp: Efficient Edge Inference for Ternary LLMs
  214. JoLT: Joint Probabilistic Predictions on Tabular Data Using LLMs
  215. VAQUUM: Are Vague Quantifiers Grounded in Visual Data?
  216. Southern Newswires: A Large-Scale Study of Mid-Century Wire Content Beyond the Front Page
  217. FedEAT: A Robustness Optimization Framework for Federated LLMs
  218. Understanding In-Context Machine Translation for Low-Resource Languages: A Case Study on Manchu
  219. Exploring Large Language Models in Healthcare: Insights into Corpora Sources, Customization Strategies, and Evaluation Metrics
  220. Rethinking Audio-Visual Adversarial Vulnerability from Temporal and Modality Perspectives
  221. LLMs as a synthesis between symbolic and distributed approaches to language
  222. Enhanced Anomaly Detection in IoMT Networks using Ensemble AI Models on the CICIoMT2024 Dataset
  223. Steering the LoCoMotif: Using Domain Knowledge in Time Series Motif Discovery
  224. BaxBench: Can LLMs Generate Correct and Secure Backends?
  225. ChordFormer: A Conformer-Based Architecture for Large-Vocabulary Audio Chord Recognition
  226. Model Generalization on Text Attribute Graphs: Principles with Large Language Models
  227. Neural Chaos: A Spectral Stochastic Neural Operator
  228. Intuitive physics understanding emerges from self-supervised pretraining on natural videos
  229. Text Classification in the LLM Era -- Where do we stand?
  230. Bi-invariant Geodesic Regression with Data from the Osteoarthritis Initiative
  231. M-ABSA: A Multilingual Dataset for Aspect-Based Sentiment Analysis
  232. Assessing the impacts of tradable credit schemes through agent-based simulation
  233. AAKT: Enhancing Knowledge Tracing with Alternate Autoregressive Modeling
  234. Mixing It Up: Exploring Mixer Networks for Irregular Multivariate Time Series Forecasting
  235. Towards Understanding Fine-Tuning Mechanisms of LLMs via Circuit Analysis
  236. Geometric Origins of Bias in Deep Neural Networks: A Human Visual System Perspective
  237. Exploring the Translation Mechanism of Large Language Models
  238. 3D Gaussian Inpainting with Depth-Guided Cross-View Consistency
  239. Personality Editing for Language Models through Adjusting Self-Referential Queries
  240. Efficient Response Generation Strategy Selection for Fine-Tuning Large Language Models Through Self-Aligned Perplexity
  241. Private Synthetic Graph Generation and Fused Gromov-Wasserstein Distance
  242. Deep Neural Networks for Accurate Depth Estimation with Latent Space Features
  243. Interpretable Machine Learning for Kronecker Coefficients
  244. The Validation Gap: A Mechanistic Analysis of How Language Models Compute Arithmetic but Fail to Validate It
  245. From Selection to Generation: A Survey of LLM-based Active Learning
  246. Lightweight Deepfake Detection Based on Multi-Feature Fusion
  247. On the Computation of the Fisher Information in Continual Learning
  248. HintsOfTruth: A Multimodal Checkworthiness Detection Dataset with Real and Synthetic Claims
  249. JotlasNet: Joint Tensor Low-Rank and Attention-based Sparse Unrolling Network for Accelerating Dynamic MRI
  250. Robust Partial-Label Learning by Leveraging Class Activation Values
  251. Range and Bird's Eye View Fused Cross-Modal Visual Place Recognition
  252. ReviewEval: An Evaluation Framework for AI-Generated Reviews
  253. Plant in Cupboard, Orange on Rably, Inat Aphone. Benchmarking Incremental Learning of Situation and Language Model using a Text-Simulated Situated Environment
  254. GraphMorph: Tubular Structure Extraction by Morphing Predicted Graphs
  255. No-reference geometry quality assessment for colorless point clouds via list-wise rank learning
  256. Adversarially Robust CLIP Models Can Induce Better (Robust) Perceptual Metrics
  257. Incomplete Modality Disentangled Representation for Ophthalmic Disease Grading and Diagnosis
  258. Energy-Conscious LLM Decoding: Impact of Text Generation Strategies on GPU Energy Consumption
  259. Proactive Depot Discovery: A Generative Framework for Flexible Location-Routing
  260. Component-aware Unsupervised Logical Anomaly Generation for Industrial Anomaly Detection
  261. Knowledge-aware contrastive heterogeneous molecular graph learning
  262. The Worse The Better: Content-Aware Viewpoint Generation Network for Projection-related Point Cloud Quality Assessment
  263. Ad-hoc Concept Forming in the Game Codenames as a Means for Evaluating Large Language Models
  264. CMQCIC-Bench: A Chinese Benchmark for Evaluating Large Language Models in Medical Quality Control Indicator Calculation
  265. From Isolates to Families: Using Neural Networks for Automated Language Affiliation
  266. ReVeil: Unconstrained Concealed Backdoor Attack on Deep Neural Networks using Machine Unlearning
  267. Double Momentum and Error Feedback for Clipping with Fast Rates and Differential Privacy
  268. Spectral structure learning for clinical time series
  269. Which Type of Students can LLMs Act? Investigating Authentic Simulation with Graph-based Human-AI Collaborative System
  270. Towards Fully Exploiting LLM Internal States to Enhance Knowledge Boundary Perception
  271. Best of Both Worlds: Regret Minimization versus Minimax Play
  272. Exact Upper and Lower Bounds for the Output Distribution of Neural Networks with Random Inputs
  273. Diversity-oriented Data Augmentation with Large Language Models
  274. Deep Subspace Learning for Surface Anomaly Classification Based on 3D Point Cloud Data
  275. A Variational Analysis of Kernel Learning with Learnable Linear Transformations
  276. VRoPE: Rotary Position Embedding for Video Large Language Models
  277. "I'm not for sale" -- Perceptions and limited awareness of privacy risks by digital natives about location data
  278. How does ion temperature gradient turbulence depend on magnetic geometry? Insights from data and machine learning
  279. TextOCVP: Object-Centric Video Prediction with Language Guidance
  280. Hyper-SET: Designing Transformers via Hyperspherical Energy Minimization
  281. Deviation Ratings: A General, Clone-Invariant Rating Method
  282. InTec: integrated things-edge computing: a framework for distributing machine learning pipelines in edge AI systems
  283. GaussianMotion: End-to-End Learning of Animatable Gaussian Avatars with Pose Guidance from Text
  284. Neural Interpretable Reasoning
  285. Safeguarding AI in Medical Imaging: Post-Hoc Out-of-Distribution Detection with Normalizing Flows
  286. CLASS: Enhancing Cross-Modal Text-Molecule Retrieval Performance and Training Efficiency
  287. Real-time Neural Rendering of LiDAR Point Clouds
  288. In-Context Parametric Inference: Point or Distribution Estimators?
  289. Is Human-Like Text Liked by Humans? Multilingual Human Detection and Preference Against AI
  290. Identifying Gender Stereotypes and Biases in Automated Translation from English to Italian using Similarity Networks
  291. Exploiting Task Relationships in Continual Learning via Transferability-Aware Task Embeddings
  292. LLM Embeddings for Deep Learning on Tabular Data
  293. iMOVE: Instance-Motion-Aware Video Understanding
  294. A Unified Modeling Framework for Automated Penetration Testing
  295. Syllables to Scenes: Literary-Guided Free-Viewpoint 3D Scene Synthesis from Japanese Haiku
  296. Calibration of Vehicular Traffic Simulation Models by Local Optimization
  297. Distributional Autoencoders Know the Score
  298. Language Complexity Measurement as a Noisy Zero-Shot Proxy for Evaluating LLM Performance
  299. FaMTEB: Massive Text Embedding Benchmark in Persian Language
  300. Towards a Trustworthy Anomaly Detection for Critical Applications through Approximated Partial AUC Loss
  301. Leader and Follower: Interactive Motion Generation under Trajectory Constraints
  302. Reinforced Information Retrieval
  303. A Survey of Automatic Prompt Engineering: An Optimization Perspective
  304. Auto-Search and Refinement: An Automated Framework for Gender Bias Mitigation in Large Language Models
  305. Toward Metaphor-Fluid Conversation Design for Voice User Interfaces
  306. DCAD-2000: A Multilingual Dataset across 2000+ Languages with Data Cleaning as Anomaly Detection
  307. MuSC: Improving Complex Instruction Following with Multi-granularity Self-Contrastive Training
  308. SurgPose: a Dataset for Articulated Robotic Surgical Tool Pose Estimation and Tracking
  309. Be Cautious When Merging Unfamiliar LLMs: A Phishing Model Capable of Stealing Privacy
  310. A Survey of Personalized Large Language Models: Progress and Future Directions
  311. Beyond Single-Task: Robust Multi-Task Length Generalization for LLMs
  312. Detecting Various DeFi Price Manipulations with LLM Reasoning
  313. UniGO: A Unified Graph Neural Network for Modeling Opinion Dynamics on Graphs
  314. MaZO: Masked Zeroth-Order Optimization for Multi-Task Fine-Tuning of Large Language Models
  315. DifCluE: Generating Counterfactual Explanations with Diffusion Autoencoders and modal clustering
  316. Chinese Spelling Correction: A Comprehensive Survey of Progress, Challenges, and Opportunities
  317. Learning Surrogate Potential Mean Field Games via Gaussian Processes: A Data-Driven Approach to Ill-Posed Inverse Problems
  318. Graph Neural Network-based Spectral Filtering Mechanism for Imbalance Classification in Network Digital Twin
  319. Accelerated Gradient-based Design Optimization Via Differentiable Physics-Informed Neural Operator: A Composites Autoclave Processing Case Study
  320. Balanced Multi-Factor In-Context Learning for Multilingual Large Language Models
  321. DAST: Context-Aware Compression in LLMs via Dynamic Allocation of Soft Tokens
  322. GPU-accelerated Multi-relational Parallel Graph Retrieval for Web-scale Recommendations
  323. Dictionary-Learning-Based Data Pruning for System Identification
  324. No-regret incentive-compatible online learning under exact truthfulness with non-myopic experts
  325. DATA: Decomposed Attention-based Task Adaptation for Rehearsal-Free Continual Learning
  326. Variable-frame CNNLSTM for Breast Nodule Classification using Ultrasound Videos
  327. Throat and acoustic paired speech dataset for deep learning-based speech enhancement
  328. GLTW: Joint Improved Graph Transformer and LLM via Three-Word Language for Knowledge Graph Completion
  329. Optimized detection of cyber-attacks on IoT networks via hybrid deep learning models
  330. If Attention Serves as a Cognitive Model of Human Memory Retrieval, What is the Plausible Memory Representation?
  331. Semantically Robust Unsupervised Image Translation for Paired Remote Sensing Images
  332. Approximation of Permutation Invariant Polynomials by Transformers: Efficient Construction in Column-Size
  333. GiFT: Gibbs Fine-Tuning for Code Generation
  334. All Models Are Miscalibrated, But Some Less So: Comparing Calibration with Conditional Mean Operators
  335. LMFCA-Net: A Lightweight Model for Multi-Channel Speech Enhancement with Efficient Narrow-Band and Cross-Band Attention
  336. UnitCoder: Scalable Iterative Code Synthesis with Unit Test Guidance
  337. Towards Efficient Pre-training: Exploring FP4 Precision in Large Language Models
  338. Aligning Sentence Simplification with ESL Learner's Proficiency for Language Acquisition
  339. Leveraging Labelled Data Knowledge: A Cooperative Rectification Learning Network for Semi-supervised 3D Medical Image Segmentation
  340. UniCBE: An Uniformity-driven Comparing Based Evaluation Framework with Unified Multi-Objective Optimization
  341. From Personas to Talks: Revisiting the Impact of Personas on LLM-Synthesized Emotional Support Conversations
  342. What Scalable Second-Order Information Knows for Pruning at Initialization
  343. Does Editing Provide Evidence for Localization?
  344. Multi-Turn Multi-Modal Question Clarification for Enhanced Conversational Understanding
  345. Medical Image Registration Meets Vision Foundation Model: Prototype Learning and Contour Awareness
  346. An Efficient Sparse Fine-Tuning with Low Quantization Error via Neural Network Pruning
  347. SAFE-SQL: Self-Augmented In-Context Learning with Fine-grained Example Selection for Text-to-SQL
  348. ADO: Automatic Data Optimization for Inputs in LLM Prompts
  349. Any Information Is Just Worth One Single Screenshot: Unifying Search With Visualized Information Retrieval
  350. What's in a Query: Polarity-Aware Distribution-Based Fair Ranking
  351. Exploring Persona Sentiment Sensitivity in Personalized Dialogue Generation
  352. Planning of Heuristics: Strategic Planning on Large Language Models with Monte Carlo Tree Search for Automating Heuristic Optimization
  353. Training-Free Guidance Beyond Differentiability: Scalable Path Steering with Tree Search in Diffusion and Flow Models
  354. InsBank: Evolving Instruction Subset for Ongoing Alignment
  355. DiSCo: Device-Server Collaborative LLM-Based Text Streaming Services
  356. Statistical Query Hardness of Multiclass Linear Classification with Random Classification Noise
  357. Detecting and Filtering Unsafe Training Data via Data Attribution with Denoised Representation
  358. Structure based SAT dataset for analysing GNN generalisation
  359. Precise GPS-Denied UAV Self-Positioning via Context-Enhanced Cross-View Geo-Localization
  360. Following the Autoregressive Nature of LLM Embeddings via Compression and Alignment
  361. A Signed Graph Approach to Understanding and Mitigating Oversmoothing in GNNs
  362. MARS: Mesh AutoRegressive Model for 3D Shape Detailization
  363. RoleMRC: A Fine-Grained Composite Benchmark for Role-Playing and Instruction-Following
  364. Intelligent Mobile AI-Generated Content Services via Interactive Prompt Engineering and Dynamic Service Provisioning
  365. A Physics-Informed Blur Learning Framework for Imaging Systems
  366. Without Paired Labeled Data: End-to-End Self-Supervised Learning for Drone-view Geo-Localization
  367. From the New World of Word Embeddings: A Comparative Study of Small-World Lexico-Semantic Networks in LLMs
  368. PrivilegedDreamer: Explicit Imagination of Privileged Information for Rapid Adaptation of Learned Policies
  369. Physics-Informed Gaussian Process Classification for Constraint-Aware Alloy Design
  370. LLMs can Perform Multi-Dimensional Analytic Writing Assessments: A Case Study of L2 Graduate-Level Academic English Writing
  371. Blessing of Multilinguality: A Systematic Analysis of Multilingual In-Context Learning
  372. Teleportation With Null Space Gradient Projection for Optimization Acceleration
  373. VLDBench Evaluating Multimodal Disinformation with Regulatory Alignment
  374. Biases in Edge Language Models: Detection, Analysis, and Mitigation
  375. Hierarchical Graph Topic Modeling with Topic Tree-based Transformer
  376. S2TX: Cross-Attention Multi-Scale State-Space Transformer for Time Series Forecasting
  377. WRT-SAM: Foundation Model-Driven Segmentation for Generalized Weld Radiographic Testing
  378. A Comparison of Human and Machine Learning Errors in Face Recognition
  379. ExaGPT: Example-Based Machine-Generated Text Detection for Human Interpretability
  380. Transfer Learning of CATE with Kernel Ridge Regression
  381. System Message Generation for User Preferences using Open-Source Models
  382. Differentially private fine-tuned NF-Net to predict GI cancer type
  383. Robust High-Dimensional Mean Estimation With Low Data Size, an Empirical Study
  384. A statistical theory of overfitting for imbalanced classification