mlsanityData to 14 Oct 2026

Papers

New on arXiv

Wed 12 Feb 2025

313 papers

  1. Haunted House: A text-based game for comparing the flexibility of mental models in humans and LLMsLLM reasoning → Reasoning for agents, planning and code
  2. scMamba: A Pre-Trained Model for Single-Nucleus RNA Sequencing Analysis in Neurodegenerative DisordersState-space sequence models (S4, Mamba) → Mamba for medical image analysis
  3. AuPair: Golden Example Pairs for Code RepairLLM reasoning → Reasoning for agents, planning and code
  4. Image Watermarking of Generative Diffusion ModelsDiffusion models → Robustness, privacy and adversarial aspects +1
  5. From Layers to States: A State Space Model Perspective to Deep Neural Network Layer DynamicsState-space sequence models (S4, Mamba) → Core SSM architectures for language
  6. I Think, Therefore I Diffuse: Enabling Multimodal In-Context Reasoning in Diffusion ModelsLLM reasoning → Multimodal reasoning +2
  7. Deep Reinforcement Learning-Based User Scheduling for Collaborative PerceptionDeep reinforcement learning methods → RL for autonomous driving and traffic
  8. E2LVLM:Evidence-Enhanced Large Vision-Language Model for Multimodal Out-of-Context Misinformation DetectionMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness
  9. One Example Shown, Many Concepts Known! Counterexample-Driven Conceptual Reasoning in Mathematical LLMsLLM reasoning → Mathematical reasoning
  10. Revealing Subtle Phenotypes in Small Microscopy Datasets Using Latent Diffusion ModelsDiffusion models → Medical imaging and segmentation
  11. DiffEx: Explaining a Classifier with Diffusion Models to Identify Microscopic Cellular VariationsDiffusion models → Medical imaging and segmentation
  12. Heterogeneous Mixture of Experts for Remote Sensing Image Super-ResolutionMixture-of-experts → Vision mixture-of-experts
  13. A Survey on Data-Centric AI: Tabular Learning from Reinforcement Learning and Generative AI PerspectiveDeep reinforcement learning methods → RL with diffusion and flow models
  14. Ask in Any Modality: A Comprehensive Survey on Multimodal Retrieval-Augmented GenerationRetrieval-augmented generation → Multimodal RAG
  15. DejAIvu: Identifying and Explaining AI Art on the Web in Real-Time with Saliency MapsDiffusion models → Image generation, text-to-image and editing
  16. Can a Single Model Master Both Multi-turn Conversations and Tool Use? CoALM: A Unified Conversational Agentic Language ModelLLM agents and tool use → General LLM agent frameworks and benchmarks
  17. A First-order Generative Bilevel Optimization Framework for Diffusion ModelsDiffusion models → Diffusion foundations and sampling
  18. Stop Overvaluing Multi-Agent Debate -- We Must Rethink Evaluation and Embrace Model HeterogeneityLLM reasoning → Reasoning for agents, planning and code +1
  19. BBQ-V: Benchmarking Visual Stereotype Bias in Large Multimodal ModelsMultimodal LLMs / vision-language models → Social bias and fairness in VLMs
  20. Universal Model Routing for Efficient LLM InferenceEfficient LLM inference and serving → Serving systems and request scheduling
  21. Contextual bandits with entropy-based human feedbackLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
  22. HistoSmith: Single-Stage Histology Image-Label Generation via Conditional Latent Diffusion for Enhanced Cell Segmentation and ClassificationDiffusion models → Medical imaging and segmentation
  23. Scalable Discrete Diffusion Samplers: Combinatorial Optimization and Statistical PhysicsDiffusion models → Diffusion foundations and sampling
  24. AgentSociety: Large-Scale Simulation of LLM-Driven Generative Agents Advances Understanding of Human Behaviors and SocietyWorld models → World models for language agents +1
  25. Skrr: Skip and Re-use Text Encoder Layers for Memory Efficient Text-to-Image GenerationDiffusion models → Image generation, text-to-image and editing
  26. Mathematical Reasoning in Large Language Models: Assessing Logical and Arithmetic Errors across Wide Numerical RangesLLM reasoning → Mathematical reasoning
  27. SwiftSketch: A Diffusion Model for Image-to-Vector Sketch GenerationMultimodal LLMs / vision-language models → Image editing and quality assessment +1
  28. Utility Engineering: Analyzing and Controlling Emergent Value Systems in AIsLLM agents and tool use → General LLM agent frameworks and benchmarks
  29. Spatial457: A Diagnostic Benchmark for 6D Spatial Reasoning of Large Multimodal ModelsLLM reasoning → Spatial and embodied reasoning +1
  30. Necessary and Sufficient Oracles: Toward a Computational Taxonomy For Reinforcement LearningDeep reinforcement learning methods → RL theory and sample complexity
  31. Robot Data Curation with Mutual Information EstimatorsOffline RL and imitation learning from data → Robot manipulation imitation learning
  32. Distillation Scaling LawsLLM reasoning → Prompting and chain-of-thought reasoning +1
  33. SPeCtrum: A Grounded Framework for Multidimensional Identity Representation in LLM-Based AgentLLM agents and tool use → Social simulation and multi-agent debate
  34. Disentangling Total-Variance and Signal-to-Noise-Ratio Improves Diffusion ModelsDiffusion models → Diffusion foundations and sampling
  35. Light-A-Video: Training-free Video Relighting via Progressive Light FusionDiffusion models → 3D, point cloud and scene generation
  36. Commercial LLM Agents Are Already Vulnerable to Simple Yet Dangerous AttacksLLM agents and tool use → Agent threats, guardrails and governance +1
  37. Ultrasound Image Generation using Latent Diffusion ModelsDiffusion models → Medical imaging and segmentation
  38. Brain Latent Progression: Individual-based Spatiotemporal Disease Progression on 3D Brain MRIs via Latent DiffusionDiffusion models → Medical imaging and segmentation
  39. A New Query Expansion Approach via Agent-Mediated Dialogic InquiryLLM agents and tool use → Web, search, and research agents
  40. Human-Centric Foundation Models: Perception, Generation and Agentic ModelingLLM agents and tool use → Multimodal and embodied agents
  41. BCDDM: Branch-Corrected Denoising Diffusion Model for Black Hole Image GenerationDiffusion models → Inverse problems and image restoration
  42. LLM Pretraining with Continuous ConceptsLLM reasoning → Test-time compute and efficient thinking
  43. The Paradox of Stochasticity: Limited Creativity and Computational Decoupling in Temperature-Varied LLM Outputs of Structured Fictional DataLLM reasoning → Test-time compute and efficient thinking
  44. Faithful, Unfaithful or Ambiguous? Multi-Agent Debate with Initial Stance for Summary EvaluationLLM agents and tool use → Social simulation and multi-agent debate
  45. Measuring Diversity in Synthetic DatasetsSynthetic data and self-improvement for LLMs → LLM synthetic data generation
  46. One-Shot Federated Learning with Classifier-Free Diffusion ModelsDiffusion models → Robustness, privacy and adversarial aspects
  47. Enhancing Auto-regressive Chain-of-Thought through Loop-Aligned ReasoningLLM reasoning → Prompting and chain-of-thought reasoning
  48. mmE5: Improving Multimodal Multilingual Embeddings via High-quality Synthetic DataSynthetic data and self-improvement for LLMs → Self-improving MLLMs and synthetic data
  49. Learning to Push, Group, and Grasp: A Diffusion Policy Approach for Multi-Object DeliveryDiffusion models → Diffusion and flow policies for robotics +1
  50. A Survey on Pre-Trained Diffusion Model DistillationsDiffusion models → Diffusion foundations and sampling
  51. Systematic Knowledge Injection into Large Language Models via Diverse Augmentation for Domain-Specific RAGRetrieval-augmented generation → RAG robustness and adaptive retrieval
  52. Salience-Invariant Consistent Policy Learning for Generalization in Visual Reinforcement LearningDeep reinforcement learning methods → RL for robot locomotion and manipulation
  53. Modification and Generated-Text Detection: Achieving Dual Detection Capabilities for the Outputs of LLM by WatermarkLLM safety and security → Watermarking generated content and models
  54. Mitigating Hallucinations in Multimodal Spatial Relations through Constraint-Aware PromptingMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs
  55. Dealing with Annotator Disagreement in Hate Speech ClassificationLLM safety and security → Safety alignment, refusal and guardrails
  56. Balancing optimism and pessimism in offline-to-online learningOffline RL and imitation learning from data → Offline RL algorithms
  57. FloVD: Optical Flow Meets Video Diffusion Model for Enhanced Camera-Controlled Video SynthesisDiffusion models → Video generation
  58. The Danger of Overthinking: Examining the Reasoning-Action Dilemma in Agentic TasksLLM reasoning → Test-time compute and efficient thinking +1
  59. TRISHUL: Towards Region Identification and Screen Hierarchy Understanding for Large VLM based GUI AgentsMultimodal LLMs / vision-language models → Embodied and 3D vision-language models +1
  60. Flow-of-Action: SOP Enhanced LLM-Based Multi-Agent System for Root Cause AnalysisLLM agents and tool use → Software engineering coding agents
  61. ParetoRAG: Leveraging Sentence-Context Attention for Robust and Efficient Retrieval-Augmented GenerationRetrieval-augmented generation → RAG pipeline design and evaluation
  62. Force Matching with Relativistic Constraints: A Physics-Inspired Approach to Stable and Efficient Generative ModelingDiffusion models → Flow matching, time series and science
  63. ACCESS : A Benchmark for Abstract Causal Event Discovery and ReasoningLLM reasoning → Causal reasoning in LLMs
  64. Bridging the Safety Gap: A Guardrail Pipeline for Trustworthy LLM InferencesLLM safety and security → Safety alignment, refusal and guardrails
  65. Fino1: On the Transferability of Reasoning-Enhanced LLMs and Reinforcement Learning to FinanceLLM reasoning → Reasoning for agents, planning and code
  66. Provably Robust Federated Reinforcement LearningDeep reinforcement learning methods → RL for energy, networks and operations
  67. From Clicks to Conversations: Evaluating the Effectiveness of Conversational Agents in Statistical AnalysisLLM agents and tool use → General LLM agent frameworks and benchmarks
  68. PoGDiff: Product-of-Gaussians Diffusion Models for Imbalanced Text-to-Image GenerationDiffusion models → Image generation, text-to-image and editing
  69. GCoT: Chain-of-Thought Prompt Learning for GraphsLLM reasoning → Prompting and chain-of-thought reasoning
  70. MAA: Meticulous Adversarial Attack against Vision-Language Pre-trained ModelsMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness
  71. Knowledge Swapping via Learning and UnlearningLLM safety and security → Machine unlearning
  72. WorldGUI: An Interactive Benchmark for Desktop GUI Automation from Any Starting PointLLM agents and tool use → GUI and mobile agents
  73. Predictive Planner for Autonomous Driving with Consistency ModelsDiffusion models → Diffusion and flow policies for robotics +1
  74. Time Series Analysis in Frequency Domain: A Survey of Open Challenges, Opportunities and Benchmarks
  75. Neuromorphic Principles for Efficient Large Language Models on Intel Loihi 2
  76. Z-REx: Human-Interpretable GNN Explanations for Real Estate Recommendations
  77. Enhancing Human-Robot Collaboration through Existing Guidelines: A Case Study Approach
  78. Interactive Sketchpad: A Multimodal Tutoring System for Collaborative, Visual Problem-Solving
  79. Inference Scaling Reshapes AI Governance
  80. DiMA: An LLM-Powered Ride-Hailing Assistant at DiDi
  81. A cross-regional review of AI safety regulations in the commercial aviation
  82. AI for Scaling Legal Reform: Mapping and Redacting Racial Covenants in Santa Clara County
  83. CSSSTN: A Class-sensitive Subject-to-subject Semantic Style Transfer Network for EEG Classification in RSVP Tasks
  84. Maturity Framework for Enhancing Machine Learning Quality
  85. TLOB: A Novel Transformer Model with Dual Attention for Price Trend Prediction with Limit Order Book Data
  86. YNote: A Novel Music Notation for Fine-Tuning LLMs in Music Generation
  87. SenDaL: An Effective and Efficient Calibration Framework of Low-Cost Sensors for Daily Life
  88. LLM4GNAS: A Large Language Model Based Toolkit for Graph Neural Architecture Search
  89. Linking Cryptoasset Attribution Tags to Knowledge Graph Entities: An LLM-based Approach
  90. Quaternion-Hadamard Network: A Novel Defense Against Adversarial Attacks with a New Dataset
  91. The Science of Evaluating Foundation Models
  92. Meta-INR: Efficient Encoding of Volumetric Data via Meta-Learning Implicit Neural Representation
  93. Summaries as Centroids for Interpretable and Scalable Text Clustering
  94. Image Super-Resolution with Guarantees via Conformalized Generative Models
  95. Generalizable Cervical Cancer Screening via Large-scale Pretraining and Test-Time Adaptation
  96. Towards Fine-grained Interactive Segmentation in Images and Videos
  97. Cancer Vaccine Adjuvant Name Recognition from Biomedical Literature using Large Language Models
  98. Neuro-Conceptual Artificial Intelligence: Integrating OPM with Deep Learning to Enhance Question Answering Quality
  99. Integrating Spatiotemporal Vision Transformer into Digital Twins for High-Resolution Heat Stress Forecasting in Campus Environments
  100. Multi-Omics Fusion with Soft Labeling for Enhanced Prediction of Distant Metastasis in Nasopharyngeal Carcinoma Patients after Radiotherapy
All 313
  1. Bidirectional Diffusion Bridge Models
  2. SASVi -- Segment Any Surgical Video
  3. Survey on Single-Image Reflection Removal using Deep Learning Techniques
  4. Rex: A Family of Reversible Exponential (Stochastic) Runge-Kutta Solvers
  5. PLayer-FL: A Principled Approach to Personalized Layer-wise Cross-Silo Federated Learning
  6. Examining and Adapting Time for Multilingual Classification via Mixture of Temporal Experts
  7. mathsfCSMAE~:~Cataract Surgical Masked Autoencoder (MAE) based Pre-training
  8. Lexical Manifold Reconfiguration in Large Language Models: A Novel Architectural Approach for Contextual Modulation
  9. Measuring Anxiety Levels with Head Motion Patterns in Severe Depression Population
  10. InTAR: Inter-Task Auto-Reconfigurable Accelerator Design for High Data Volume Variation in DNNs
  11. CLOVER: A Test Case Generation Benchmark with Coverage, Long-Context, and Verification
  12. Deep EEG Super-Resolution: Upsampling EEG Spatial Resolution with Generative Adversarial Networks
  13. A Systematic Review on the Evaluation of Large Language Models in Theory of Mind Tasks
  14. Low-Resolution Neural Networks
  15. Spectral Journey: How Transformers Predict the Shortest Path
  16. Randomly Wrong Signals: Bayesian Auction Design with ML Predictions
  17. MRUCT: Mixed Reality Assistance for Acupuncture Guided by Ultrasonic Computed Tomography
  18. Decision Tree Based Wrappers for Hearing Loss
  19. Acoustic Wave Manipulation Through Sparse Robotic Actuation
  20. Learning Discontinuous Galerkin Solutions to Elliptic Problems via Small Linear Convolutional Neural Networks
  21. Zero-Shot Belief: A Hard Problem for LLMs
  22. Treatment response as a latent variable
  23. Exploring Test Time Adaptation for Subcortical Segmentation of the Fetal Brain in 3D Ultrasound
  24. Cluster and Predict Latent Patches for Improved Masked Image Modeling
  25. SelfElicit: Your Language Model Secretly Knows Where is the Relevant Evidence
  26. Unlocking Mental Health: Exploring College Students' Well-being through Smartphone Behaviors
  27. Demand Response Optimization MILP Framework for Microgrids with DERs
  28. Compression of Site-Specific Deep Neural Networks for Massive MIMO Precoding
  29. A Low-Complexity Plug-and-Play Deep Learning Model for Massive MIMO Precoding Across Sites
  30. From PowerPoint UI Sketches to Web-Based Applications: Pattern-Driven Code Generation for GIS Dashboard Development Using Knowledge-Augmented LLMs, Context-Aware Visual Prompting, and the React Framework
  31. IHEval: Evaluating Language Models on Following the Instruction Hierarchy
  32. Are Expressions for Music Emotions the Same Across Cultures?
  33. Recurrent Memory for Online Interdomain Gaussian Processes
  34. New Bounds for Sparse Variational Gaussian Processes
  35. A Comparative Study of Machine Learning Algorithms for Stock Price Prediction Using Insider Trading Data
  36. A Bayesian Nonparametric Perspective on Mahalanobis Distance for Out of Distribution Detection
  37. Efficient Split Learning LSTM Models for FPGA-based Edge IoT Devices
  38. Advancing machine fault diagnosis: A detailed examination of convolutional neural networks
  39. Data Augmentation to Improve Large Language Models in Food Hazard and Product Detection
  40. EEG Artifact Detection and Correction with Deep Autoencoders
  41. Beyond Models! Explainable Data Valuation and Metric Adaption for Recommendation
  42. Self-Evaluation for Job-Shop Scheduling
  43. A Deep Learning approach for parametrized and time dependent Partial Differential Equations using Dimensionality Reduction and Neural ODEs
  44. On the Role of Pre-trained Embeddings in Binary Code Analysis
  45. Centrally Coordinated Multi-Agent Reinforcement Learning for Power Grid Topology Control
  46. Deep Learning-Driven Malware Classification with API Call Sequence Analysis and Concept Drift Handling
  47. Multispectral Remote Sensing for Weed Detection in West Australian Agricultural Lands
  48. LIR-LIVO: A Lightweight,Robust LiDAR/Vision/Inertial Odometry with Illumination-Resilient Deep Features
  49. COutfitGAN: Learning to Synthesize Compatible Outfits Supervised by Silhouette Masks and Fashion Styles
  50. High-Throughput SAT Sampling
  51. Color Universal Design Neural Network for the Color Vision Deficiencies
  52. Assessing the Impact of the Quality of Textual Data on Feature Representation and Machine Learning Models
  53. Style Extraction on Text Embeddings Using VAE and Parallel Dataset
  54. Poly-Autoregressive Prediction for Modeling Interactions
  55. Rhythmic sharing: A bio-inspired paradigm for zero-shot adaptive learning in neural networks
  56. A Real-to-Sim-to-Real Approach to Robotic Manipulation with VLM-Generated Iterative Keypoint Rewards
  57. CineMaster: A 3D-Aware and Controllable Framework for Cinematic Text-to-Video Generation
  58. Examining Multilingual Embedding Models Cross-Lingually Through LLM-Generated Adversarial Examples
  59. Joint Transmit and Pinching Beamforming for Pinching Antenna Systems (PASS): Optimization-Based or Learning-Based?
  60. Rapid Whole Brain Motion-robust Mesoscale In-vivo MR Imaging using Multi-scale Implicit Neural Representation
  61. Ensemble based approach to quantifying uncertainty of LLM based classifications
  62. Concentration Inequalities for Stochastic Optimization of Unbounded Objective Functions with Application to Denoising Score Matching
  63. Randomness of Low-Layer Parameters Determines Confusing Samples in Terms of Interaction Representations of a DNN
  64. Forecasting Drought Using Machine Learning in California
  65. Mathematical Data Science
  66. Continuous Cardiac Arrest Prediction in ICU using PPG Foundation Model
  67. Robustly Learning Monotone Generalized Linear Models via Data Augmentation
  68. Quantifying Security Vulnerabilities: A Metric-Driven Security Analysis of Gaps in Current AI Standards
  69. CurvGAD: Leveraging Curvature for Enhanced Graph Anomaly Detection
  70. Scalable Thermodynamic Second-order Optimization
  71. Two-stage hybrid models for enhancing forecasting accuracy on heterogeneous time series
  72. Markets with Heterogeneous Agents: Dynamics and Survival of Bayesian vs. No-Regret Learners
  73. Toward Universal Laws of Outlier Propagation
  74. LDC-MTL: Balancing Multi-Task Learning through Scalable Loss Discrepancy Control
  75. A method for classification of data with uncertainty using hypothesis testing
  76. FBFL: A Field-Based Coordination Approach for Data Heterogeneity in Federated Learning
  77. Mapping the Landscape of Generative AI in Network Monitoring and Management
  78. TANTE: Time-Adaptive Operator Learning via Neural Taylor Expansion
  79. A Novel Approach to for Multimodal Emotion Recognition : Multimodal semantic information fusion
  80. AR Glulam: Accurate Augmented Reality Using Multiple Fiducial Markers for Glulam Fabrication
  81. Quality-Aware Decoding: Unifying Quality Estimation and Decoding
  82. A Machine Learning-Ready Data Processing Tool for Near Real-Time Forecasting
  83. Fostering Appropriate Reliance on Large Language Models: The Role of Explanations, Sources, and Inconsistencies
  84. No Need for Explanations: LLMs can implicitly learn from mistakes in-context
  85. Copula-based mixture model identification for subgroup clustering with imaging applications
  86. Representation learning to advance multi-institutional studies with electronic health record data from US and France
  87. Moment of Untruth: Dealing with Negative Queries in Video Moment Retrieval
  88. Beyond Predictions: A Participatory Framework for Multi-Stakeholder Decision-Making
  89. A Survey on Image Quality Assessment: Insights, Analysis, and Future Outlook
  90. Matrix Completion with Graph Information: A Provable Nonconvex Optimization Approach
  91. Input convex neural networks: universal approximation theorem and implementation for isotropic polyconvex hyperelastic energies
  92. On Different Notions of Redundancy in Conditional-Independence-Based Discovery of Graphical Models
  93. FedMHO: Heterogeneous One-Shot Federated Learning Towards Resource-Constrained Edge Devices
  94. Explanation based In-Context Demonstrations Retrieval for Multilingual Grammatical Error Correction
  95. Bridging Domain Adaptation and Graph Neural Networks: A Tensor-Based Framework for Effective Label Propagation
  96. Revisiting 3D LLM Benchmarks: Are We Really Testing 3D Capabilities?
  97. Fine-Tuning Topics through Weighting Aspect Keywords
  98. Salamandra Technical Report
  99. Referring Remote Sensing Image Segmentation via Bidirectional Alignment Guided Joint Prediction
  100. Numerical Schemes for Signature Kernels
  101. Examining Spanish Counseling with MIDAS: a Motivational Interviewing Dataset in Spanish
  102. Learning Theory for Kernel Bilevel Optimization
  103. Towards Prompt Generalization: Grammar-aware Cross-Prompt Automated Essay Scoring
  104. CordViP: Correspondence-based Visuomotor Policy for Dexterous Manipulation in Real-World
  105. Monge SAM: Robust Reparameterization-Invariant Sharpness-Aware Minimization Based on Loss Geometry
  106. LucidAtlas: Learning Uncertainty-Aware, Covariate-Disentangled, Individualized Atlas Representations
  107. Better Embeddings with Coupled Adam
  108. Composite Sketch+Text Queries for Retrieving Objects with Elusive Names and Complex Interactions
  109. From Haystack to Needle: Label Space Reduction for Zero-shot Classification
  110. Closer through commonality: Enhancing hypergraph contrastive learning with shared groups
  111. Semantic Learning for Molecular Communication in Internet of Bio-Nano Things
  112. Handwritten Text Recognition: A Survey
  113. Multifidelity Simulation-based Inference for Computationally Expensive Simulators
  114. FSLI: An Interpretable Formal Semantic System for One-Dimensional Ordering Inference
  115. Inverse Covariance and Partial Correlation Matrix Estimation via Joint Partial Regression
  116. Strong bounds for large-scale Minimum Sum-of-Squares Clustering
  117. IssueBench: Millions of Realistic Prompts for Measuring Issue Bias in LLM Writing Assistance
  118. ViLa-MIL: Dual-scale Vision-Language Multiple Instance Learning for Whole Slide Image Classification
  119. Learning Humanoid Standing-up Control across Diverse Postures
  120. Not All Frame Features Are Equal: Video-to-4D Generation via Decoupling Dynamic-Static Features
  121. Enhanced Load Forecasting with GAT-LSTM: Leveraging Grid and Temporal Features
  122. AdvSwap: Covert Adversarial Perturbation with High Frequency Info-swapping for Autonomous Driving Perception
  123. Uncertainty Aware Human-machine Collaboration in Camouflaged Object Detection
  124. Unveiling Global Discourse Structures: Theoretical Analysis and NLP Applications in Argument Mining
  125. Towards Principled Unsupervised Multi-Agent Reinforcement Learning
  126. Top-Theta Attention: Sparsifying Transformers by Compensated Thresholding
  127. Loss Landscape Analysis for Reliable Quantized ML Models for Scientific Sensing
  128. Trustworthy GNNs with LLMs: A Systematic Review and Taxonomy
  129. Sat-DN: Implicit Surface Reconstruction from Multi-View Satellite Images with Depth and Normal Supervision
  130. Hi-End-MAE: Hierarchical encoder-driven masked autoencoders are stronger vision learners for medical image segmentation
  131. Graph Foundation Models for Recommendation: A Comprehensive Survey
  132. Hierarchical Learning-based Graph Partition for Large-scale Vehicle Routing Problems
  133. Hierarchical Multi-Agent Framework for Carbon-Efficient Liquid-Cooled Data Center Clusters
  134. Foundation Models in Computational Pathology: A Review of Challenges, Opportunities, and Impact
  135. Model-Free Counterfactual Subset Selection at Scale
  136. Contextual Compression Encoding for Large Language Models: A Novel Framework for Multi-Layered Parameter Space Pruning
  137. Screener: Self-supervised Pathology Segmentation in Medical CT Images
  138. MultiProSE: A Multi-label Arabic Dataset for Propaganda, Sentiment, and Emotion Detection
  139. Word Synchronization Challenge: A Benchmark for Word Association Responses for Large Language Models
  140. HDT: Hierarchical Discrete Transformer for Multivariate Time Series Forecasting
  141. Compromising Honesty and Harmlessness in Language Models via Deception Attacks
  142. When do they StOP?: A First Step Towards Automatically Identifying Team Communication in the Operating Room
  143. Improving Existing Optimization Algorithms with LLMs
  144. BEAM: Bridging Physically-based Rendering and Gaussian Modeling for Relightable Volumetric Video
  145. CRISP: A Framework for Cryo-EM Image Segmentation and Processing with Conditional Random Field
  146. Fully-Geometric Cross-Attention for Point Cloud Registration
  147. Data Pricing for Graph Neural Networks without Pre-purchased Inspection
  148. Individualised Treatment Effects Estimation with Composite Treatments and Composite Outcomes
  149. Redefining Simplicity: Benchmarking Large Language Models from Lexical to Document Simplification
  150. What Is That Talk About? A Video-to-Text Summarization Dataset for Scientific Presentations
  151. Exploring the Potential of Large Language Models to Simulate Personality
  152. GenIAS: Generator for Instantiating Anomalies in time Series
  153. UniCoRN: Unified Commented Retrieval Network with LMMs
  154. Multi-View Oriented GPLVM: Expressiveness and Efficiency
  155. Inference-time sparse attention with asymmetric indexing
  156. Learning Human Skill Generators at Key-Step Levels
  157. Plantation Monitoring Using Drone Images: A Dataset and Performance Review
  158. Keep your distance: learning dispersed embeddings on mathbbSm
  159. Enhancing Sample Selection Against Label Noise by Cutting Mislabeled Easy Examples
  160. Take What You Need: Flexible Multi-Task Semantic Communications with Channel Adaptation
  161. Deepfake Detection with Spatio-Temporal Consistency and Attention
  162. LLM Modules: Knowledge Transfer from a Large to a Small Model using Enhanced Cross-Attention
  163. Quality over Quantity: Boosting Data Efficiency Through Ensembled Multimodal Data Curation
  164. Equivariant Masked Position Prediction for Efficient Molecular Representation
  165. Exploring Exploration in Bayesian Optimization
  166. Optimizing Asynchronous Federated Learning: A Delicate Trade-Off Between Model-Parameter Staleness and Update Frequency
  167. Wisdom of the Crowds in Forecasting: Forecast Summarization for Supporting Future Event Prediction
  168. Privacy amplification by random allocation
  169. ActiveSSF: An Active-Learning-Guided Self-Supervised Framework for Long-Tailed Megakaryocyte Classification
  170. AnyCharV: Bootstrap Controllable Character Video Generation with Fine-to-Coarse Guidance
  171. Latest Advancements Towards Catastrophic Forgetting under Data Scarcity: A Comprehensive Survey on Few-Shot Class Incremental Learning
  172. Enhancing LLM Character-Level Manipulation via Divide and Conquer
  173. SycEval: Evaluating LLM Sycophancy
  174. CoDynTrust: Robust Asynchronous Collaborative Perception via Dynamic Feature Trust Modulus
  175. SARChat-Bench-2M: A Multi-Task Vision-Language Benchmark for SAR Image Interpretation
  176. DNNs May Determine Major Properties of Their Outputs Early, with Timing Possibly Driven by Bias
  177. From Individual Experience to Collective Evidence: A Reporting-Based Framework for Identifying Systemic Harms
  178. MixDec Sampling: A Soft Link-based Sampling Method of Graph Neural Network for Recommendation
  179. Vertical Federated Learning in Practice: The Good, the Bad, and the Ugly
  180. DGSense: A Domain Generalization Framework for Wireless Sensing
  181. Local Differential Privacy is Not Enough: A Sample Reconstruction Attack against Federated Learning with Local Differential Privacy
  182. Generalized Class Discovery in Instance Segmentation
  183. Knowledge-Guided Wasserstein Distributionally Robust Optimization
  184. Democratizing AI: Open-source Scalable LLM Training on GPU-based Supercomputers
  185. Data-dependent Bounds with T-Optimal Best-of-Both-Worlds Guarantees in Multi-Armed Bandits using Stability-Penalty Matching
  186. LowRA: Accurate and Efficient LoRA Fine-Tuning of LLMs under 2 Bits
  187. Riemannian Complex Hermit Positive Definite Convolution Network for Polarimetric SAR Image Classification
  188. In-Context Learning of Linear Dynamical Systems with Transformers: Approximation Bounds and Depth-Separation
  189. A Survey on Data Curation for Visual Contrastive Learning: Why Crafting Effective Positive and Negative Pairs Matters
  190. SS4Rec: Continuous-Time Sequential Recommendation with State Space Models
  191. Selective Self-to-Supervised Fine-Tuning for Generalization in Large Language Models
  192. Incremental Approximate Single-Source Shortest Paths with Predictions
  193. Hookpad Aria: A Copilot for Songwriters
  194. Generative AI-Enhanced Cooperative MEC of UAVs and Ground Stations for Unmanned Surface Vehicles
  195. HuDEx: Integrating Hallucination Detection and Explainability for Enhancing the Reliability of LLM responses
  196. Generative AI and Empirical Software Engineering: A Paradigm Shift
  197. Out-of-Distribution Detection on Graphs: A Survey
  198. Rethinking Tokenized Graph Transformers for Node Classification
  199. Unsupervised categorization of similarity measures
  200. ID-Cloak: Crafting Identity-Specific Cloaks Against Personalized Text-to-Image Generation
  201. Mixture of Message Passing Experts with Routing Entropy Regularization for Node Classification
  202. NLI under the Microscope: What Atomic Hypothesis Decomposition Reveals
  203. Cascading Bandits Robust to Adversarial Corruptions
  204. Last-iterate Convergence for Symmetric, General-sum, 2 × 2 Games Under The Exponential Weights Dynamic
  205. On Mechanistic Circuits for Extractive Question-Answering
  206. General Coded Computing: Adversarial Settings
  207. Cognify: Supercharging Gen-AI Workflows With Hierarchical Autotuning
  208. SLVR: Securely Leveraging Client Validation for Robust Federated Learning
  209. COMBO-Grasp: Learning Constraint-Based Manipulation for Bimanual Occluded Grasping
  210. Break the Checkbox: Challenging Closed-Style Evaluations of Cultural Alignment in LLMs
  211. The Art of Misclassification: Too Many Classes, Not Enough Points
  212. Franken-Adapter: Cross-Lingual Adaptation of LLMs by Embedding Surgery
  213. Contextual Subspace Manifold Projection for Structural Refinement of Large Language Model Representations