mlsanityData to 7 Oct 2026

Papers

New on arXiv

Mon 21 Jul 2025

330 papers

  1. Controllable Surface Diffusion Generative Model for Neurodevelopmental TrajectoriesDiffusion models → Medical imaging and segmentation
  2. Discrete Tokenization for Multimodal LLMs: A Comprehensive SurveyMultimodal LLMs / vision-language models → Visual token pruning and efficiency
  3. Reading Between the Timelines: RAG for Answering Diachronic QuestionsRetrieval-augmented generation → RAG robustness and adaptive retrieval
  4. Position: Reasoning After Perception Means Reasoning Without VisionLLM reasoning → Multimodal reasoning
  5. SIA: Enhancing Safety via Intent Awareness for Vision-Language ModelsMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness
  6. MobileUse: A GUI Agent with Hierarchical Reflection for Autonomous Mobile OperationLLM agents and tool use → GUI and mobile agents
  7. Expert-Guided LLM Reasoning for Battery Discovery: From AI-Driven Hypothesis to Synthesis and CharacterizationLLM reasoning → Clinical and biomedical applications
  8. Deep Researcher with Test-Time DiffusionLLM reasoning → Knowledge- and tool-augmented reasoning +1
  9. From REST to MCP: An Empirical Study of API Wrapping and Automated Server Generation for LLM AgentsLLM agents and tool use → Agent threats, guardrails and governance
  10. A Pilot Study on LLM-Based Agentic Translation from Android to iOS: Pitfalls and InsightsLLM agents and tool use → Software engineering coding agents
  11. mRAKL: Multilingual Retrieval-Augmented Knowledge Graph Construction for Low-Resourced LanguagesRetrieval-augmented generation → Knowledge-graph and structured-knowledge RAG
  12. Dream, Lift, Animate: From Single Images to Animatable Gaussian AvatarsDiffusion models → 3D, point cloud and scene generation
  13. Does More Inference-Time Compute Really Help Robustness?LLM reasoning → Reasoning for agents, planning and code
  14. HyDRA: A Hybrid-Driven Reasoning Architecture for Verifiable Knowledge GraphsLLM reasoning → Knowledge- and tool-augmented reasoning
  15. MSGM: A Multi-Scale Spatiotemporal Graph Mamba for EEG Emotion RecognitionState-space sequence models (S4, Mamba) → Physiological signal modeling
  16. Dual Turing Test: A Framework for Detecting and Mitigating Undetectable AILLM alignment / RLHF / preference optimisation → Reward hacking and misspecification
  17. Towards Reliable, Uncertainty-Aware AlignmentLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
  18. Towards Mitigation of Hallucination for LLM-empowered Agents: Progressive Generalization Bound Exploration and Watchdog MonitorLLM agents and tool use → Medical and scientific domain agents
  19. Advancing Responsible Innovation in Agentic AI: A study of Ethical Frameworks for Household AutomationLLM agents and tool use → General LLM agent frameworks and benchmarks
  20. Diffusion Beats Autoregressive in Data-Constrained SettingsDiffusion models → Discrete and text diffusion
  21. The Impact of Language Mixing on Bilingual LLM ReasoningLLM reasoning → Reasoning benchmarks and evaluation
  22. GUI-G2: Gaussian Reward Modeling for GUI GroundingLLM alignment / RLHF / preference optimisation → Process reward models for reasoning
  23. Hierarchical Budget Policy Optimization for Adaptive ReasoningLLM reasoning → Test-time compute and efficient thinking
  24. FASTGEN: Fast and Cost-Effective Synthetic Tabular Data Generation with LLMsSynthetic data and self-improvement for LLMs → Privacy-preserving tabular data synthesis
  25. Optimizing Canaries for Privacy Auditing with Metagradient DescentLLM safety and security → Membership inference attacks
  26. LLM Economist: Large Population Models and Mechanism Design in Multi-Agent Generative SimulacraLLM agents and tool use → Social simulation and multi-agent debate
  27. Diffusion models for multivariate subsurface generation and efficient probabilistic inversionDiffusion models → Flow matching, time series and science
  28. True Multimodal In-Context Learning Needs Attention to the Visual ContextMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
  29. From Privacy to Trust in the Agentic Era: A Taxonomy of Challenges in Trustworthy Federated Learning Through the Lens of Trust Report 2.0LLM agents and tool use → Agent threats, guardrails and governance
  30. Stabilizing Knowledge, Promoting Reasoning: Dual-Token Constraints for RLVRLLM reasoning → Reinforcement learning for reasoning
  31. A Framework for Analyzing Abnormal Emergence in Service Ecosystems Through LLM-based Agent Intention MiningLLM agents and tool use → General LLM agent frameworks and benchmarks
  32. GasAgent: A Multi-Agent Framework for Automated Gas Optimization in Smart ContractsLLM agents and tool use → Agent threats, guardrails and governance
  33. LAPO: Internalizing Reasoning Efficiency via Length-Adaptive Policy OptimizationLLM reasoning → Test-time compute and efficient thinking
  34. Algebraic Language Models for Inverse Design of Metamaterials via Diffusion TransformersDiffusion models → Flow matching, time series and science
  35. TokensGen: Harnessing Condensed Tokens for Long Video GenerationDiffusion models → Video generation
  36. BEnchmarking LLMs for Ophthalmology (BELO) for Ophthalmological Knowledge and ReasoningLLM reasoning → Clinical and biomedical applications
  37. DiffPF: Differentiable Particle Filtering with Generative Sampling via Conditional Diffusion ModelsDiffusion models → Inverse problems and image restoration
  38. Is Large Language Model Performance on Reasoning Tasks Impacted by Different Ways Questions Are Asked?LLM reasoning → Reasoning benchmarks and evaluation
  39. CoLD: Counterfactually-Guided Length Debiasing for Process Reward Models in Mathematical ReasoningLLM reasoning → Reinforcement learning for reasoning +1
  40. Surfacing Variations to Calibrate Perceived Reliability of MLLM-generated Image DescriptionsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
  41. Visual-Language Model Knowledge Distillation Method for Image Quality AssessmentMultimodal LLMs / vision-language models → Image editing and quality assessment
  42. Agentic AI for autonomous anomaly management in complex systemsLLM agents and tool use → Agent threats, guardrails and governance
  43. SustainDiffusion: Optimising the Social and Environmental Sustainability of Stable Diffusion ModelsDiffusion models → Image generation, text-to-image and editing
  44. Asynchronous Collective Tree Exploration: a Distributed Algorithm, and a new Lower BoundLLM agents and tool use → General LLM agent frameworks and benchmarks
  45. HW-MLVQA: Elucidating Multilingual Handwritten Document Understanding with a Comprehensive VQA BenchmarkMultimodal LLMs / vision-language models → Document understanding and multimodal RAG
  46. Extracting Visual Facts from Intermediate Layers for Mitigating Hallucinations in Multimodal Large Language ModelsMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs
  47. Data Mixing Agent: Learning to Re-weight Domains for Continual Pre-trainingLLM agents and tool use → General LLM agent frameworks and benchmarks
  48. Being-H0: Vision-Language-Action Pretraining from Large-Scale Human VideosVision-language-action models → Human-video and latent-action pretraining
  49. SegDT: A Diffusion Transformer-Based Segmentation Model for Medical ImagingDiffusion models → Medical imaging and segmentation
  50. Learning to Extract Rational Evidence via Reinforcement Learning for Retrieval-Augmented GenerationRetrieval-augmented generation → Agentic RAG, agents and memory
  51. DynImg: Key Frames with Visual Prompts are Good Representation for Multi-Modal Video UnderstandingMultimodal LLMs / vision-language models → Video understanding with MLLMs
  52. PhysGym: Benchmarking LLMs in Interactive Physics Discovery with Controlled PriorsLLM agents and tool use → Web, search, and research agents
  53. Data-Efficient Safe Policy Improvement Using Parametric StructureOffline RL and imitation learning from data → Safe offline RL
  54. LLM world models are mental: Output layer evidence of brittle world model use in LLM mechanical reasoningWorld models → World models for language agents +1
  55. HAMLET: A Hierarchical and Adaptive Multi-Agent Framework for Live Embodied TheatricsLLM agents and tool use → Multimodal and embodied agents
  56. Step-level Verifier-guided Hybrid Test-Time Scaling for Large Language ModelsLLM reasoning → Test-time compute and efficient thinking
  57. Chart-R1: Chain-of-Thought Supervision and Reinforcement for Advanced Chart ReasonerLLM reasoning → Multimodal reasoning +1
  58. Off-Policy Corrected Reward Modeling for Reinforcement Learning from Human FeedbackLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
  59. GR-3 Technical ReportVision-language-action models → Generalist VLA models and benchmarks
  60. One Last Attention for Your Vision-Language ModelMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
  61. Rethinking LLM Inference Bottlenecks: Insights from Latent Attention and Mixture-of-ExpertsMixture-of-experts → Efficient MoE training and inference systems
  62. EgoPrune: Efficient Token Pruning for Egomotion Video Reasoning in Embodied AgentLLM reasoning → Spatial and embodied reasoning +1
  63. PhishIntentionLLM: Uncovering Phishing Website Intentions through Multi-Agent Retrieval-Augmented GenerationRetrieval-augmented generation → Privacy and security of RAG +1
  64. AlgoSimBench: Identifying Algorithmically Similar Problems for Competitive ProgrammingLLM reasoning → Reasoning for agents, planning and code
  65. STITCH: Simultaneous Thinking and Talking with Chunked Reasoning for Spoken Language ModelsLLM reasoning → Audio-language model reasoning
  66. RAD: Retrieval High-quality Demonstrations to Enhance Decision-makingOffline RL and imitation learning from data → Offline RL algorithms
  67. RoadFusion: Latent Diffusion Model for Pavement Defect DetectionDiffusion models → Flow matching, time series and science
  68. Reasoning Models are Test Exploiters: Rethinking Multiple-ChoiceLLM reasoning → Reasoning benchmarks and evaluation
  69. QSAF: A Novel Mitigation Framework for Cognitive Degradation in Agentic AILLM agents and tool use → General LLM agent frameworks and benchmarks
  70. On the Inevitability of Left-Leaning Political Bias in Aligned Language ModelsLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
  71. Few-Shot Object Detection via Spatial-Channel State Space ModelState-space sequence models (S4, Mamba) → Point clouds, detection and remote sensing
  72. Butterfly Effects in Toolchains: A Comprehensive Analysis of Failed Parameter Filling in LLM Tool-Agent SystemsLLM agents and tool use → Tool learning and function calling
  73. In-context Learning of Vision Language Models for Detection of Physical and Digital Attacks against Face Recognition SystemsMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness
  74. A Novel Self-Evolution Framework for Large Language ModelsLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
  75. Machine Unlearning for Streaming ForgettingLLM safety and security → Machine unlearning
  76. ChiMed 2.0: Advancing Chinese Medical Dataset in Facilitating Large Language ModelingLLM alignment / RLHF / preference optimisation → Medical LLM alignment
  77. Conditional Video Generation for High-Efficiency Video CompressionDiffusion models → Diffusion for compression and wireless
  78. IM-Chat: A Multi-agent LLM Framework Integrating Tool-Calling and Diffusion Modeling for Knowledge Transfer in Injection Molding IndustryLLM agents and tool use → General LLM agent frameworks and benchmarks
  79. VLM-UDMC: VLM-Enhanced Unified Decision-Making and Motion Control for Urban Autonomous DrivingEnd-to-end autonomous driving → VLMs for autonomous driving
  80. CHORDS: Diffusion Sampling Accelerator with Multi-core Hierarchical ODE SolversDiffusion models → Diffusion foundations and sampling
  81. FreeCus: Free Lunch Subject-driven Customization in Diffusion TransformersDiffusion models → Image generation, text-to-image and editing
  82. SPAR: Scholar Paper Retrieval with LLM-based Agents for Enhanced Academic SearchLLM agents and tool use → Web, search, and research agents
  83. FaultLine: Automated Proof-of-Vulnerability Generation Using LLM AgentsLLM agents and tool use → Agent threats, guardrails and governance
  84. Solving Formal Math Problems by Decomposition and Iterative ReflectionLLM reasoning → Mathematical reasoning
  85. PromptArmor: Simple yet Effective Prompt Injection DefensesLLM agents and tool use → Agent threats, guardrails and governance +1
  86. Improving Joint Embedding Predictive Architecture with Diffusion NoiseDiffusion models → Diffusion foundations and sampling
  87. MeshMamba: State Space Models for Articulated 3D Mesh Generation and ReconstructionState-space sequence models (S4, Mamba) → Video, motion and generative Mamba models
  88. Automated Visualization Makeovers with LLMs
  89. MD-LLM-1: A Large Language Model for Molecular Dynamics
  90. FairFedMed: Benchmarking Group Fairness in Federated Medical Imaging with FairLoRA
  91. AoI-Aware Resource Allocation with Deep Reinforcement Learning for HAPS-V2X Networks
  92. Enabling Immersive XR Collaborations over FTTR Networks (Invited)
  93. How and Where to Translate? The Impact of Translation Strategies in Cross-lingual LLM Prompting
  94. Predicting stock prices with ChatGPT-annotated Reddit sentiment
  95. Fast and Accurate Contextual Knowledge Extraction Using Cascading Language Model Chains and Candidate Answers
  96. A novel language model for predicting serious adverse event results in clinical trials from their prospective registrations
  97. Semantic Convergence: Investigating Shared Representations Across Scaled LLMs
  98. Blending data and physics for reduced-order modeling of systems with spatiotemporal chaotic dynamics
  99. Measuring and Analyzing Intelligence via Contextual Uncertainty in Large Language Models using Information-Theoretic Metrics
  100. When Validation Fails: Cross-Institutional Blood Pressure Prediction and the Limits of Electronic Health Record-Based Models
All 330
  1. Machine Learning Risk Intelligence for Green Hydrogen Investment: Insights for Duqm R3 Auction
  2. Multimodal Fine-grained Reasoning for Post Quality Evaluation
  3. Reinforcement Learning in hyperbolic space for multi-step reasoning
  4. Look Before You Fuse: 2D-Guided Cross-Modal Alignment for Robust 3D Detection
  5. Weak Links in LinkedIn: Enhancing Fake Profile Detection in the Age of LLMs
  6. Enhancing Fatigue Detection through Heterogeneous Multi-Source Data Integration and Cross-Domain Modality Imputation
  7. A tissue and cell-level annotated H&E and PD-L1 histopathology image dataset in non-small cell lung cancer
  8. CLAMP: Contrastive Learning with Adaptive Multi-loss and Progressive Fusion for Multimodal Aspect-Based Sentiment Analysis
  9. SynthCTI: LLM-Driven Synthetic CTI Generation to enhance MITRE Technique Mapping
  10. Coarse-to-fine crack cue for robust crack detection
  11. Toward a Real-Time Framework for Accurate Monocular 3D Human Pose Estimation with Geometric Priors
  12. Post-Disaster Affected Area Segmentation with a Vision Transformer (ViT)-based EVAP Model using Sentinel-2 and Formosat-5 Imagery
  13. Dynamic Simulation Framework for Disinformation Dissemination and Correction With Social Bots
  14. EVOLVE-X: Embedding Fusion and Language Prompting for User Evolution Forecasting on Social Media
  15. Stop-band Energy Constraint for Orthogonal Tunable Wavelet Units in Convolutional Neural Networks for Computer Vision problems
  16. Recursive Equations For Imputation Of Missing Not At Random Data With Sparse Pattern Support
  17. TorchAO: PyTorch-Native Training-to-Serving Model Optimization
  18. Improving Personalized Image Generation through Social Context Feedback
  19. Efficient Compositional Multi-tasking for On-device Large Language Models
  20. A Lower Bound for the Number of Linear Regions of Ternary ReLU Regression Neural Networks
  21. AI-driven Orchestration at Scale: Estimating Service Metrics on National-Wide Testbeds
  22. The Prompt Makes the Person(a): A Systematic Evaluation of Sociodemographic Persona Prompting for Large Language Models
  23. Interpreting CFD Surrogates through Sparse Autoencoders
  24. Compositional Coordination for Multi-Robot Teams with Large Language Models
  25. A Unifying Framework for Semiring-Based Constraint Logic Programming With Negation (full version)
  26. Handcrafted vs. Deep Radiomics vs. Fusion vs. Deep Learning: A Comprehensive Review of Machine Learning -Based Cancer Outcome Prediction in PET and SPECT Imaging
  27. AI-Powered Commit Explorer (APCE)
  28. Data-driven Mori-Zwanzig modeling of Lagrangian particle dynamics in turbulent flows
  29. AutoMeet: a proof-of-concept study of genAI to automate meetings in automotive engineering
  30. Disrupting Semantic and Abstract Features for Better Adversarial Transferability
  31. Beyond Rate Coding: Surrogate Gradients Enable Spike Timing Learning in Spiking Neural Networks
  32. Radiological and Biological Dictionary of Radiomics Features: Addressing Understandable AI Issues in Personalized Breast Cancer; Dictionary Version BM1.0
  33. Reactivation: Empirical NTK Dynamics Under Task Shifts
  34. Discovering and using Spelke segments
  35. Privacy-Preserving Semantic Segmentation from Ultra-Low-Resolution RGB Inputs
  36. "Just a strange pic": Evaluating 'safety' in GenAI Image safety annotation tasks from diverse annotators' perspectives
  37. From Logic to Language: A Trust Index for Problem Solving with LLMs
  38. Micromobility Flow Prediction: A Bike Sharing Station-level Study via Multi-level Spatial-Temporal Attention Neural Network
  39. Artifacts and Attention Sinks: Structured Approximations for Efficient Vision Transformers
  40. Is Tracking really more challenging in First Person Egocentric Vision?
  41. Neural Probabilistic Shaping: Joint Distribution Learning for Optical Fiber Communications
  42. FW-VTON: Flattening-and-Warping for Person-to-Person Virtual Try-on
  43. Enhancing Stability of Physics-Informed Neural Network Training Through Saddle-Point Reformulation
  44. Help Me Write a Story: Evaluating LLMs' Ability to Generate Writing Feedback
  45. Autonomous Multi-objective Alloy Design through Simulation-guided Optimization
  46. Minor Embedding for Quantum Annealing with Reinforcement Learning
  47. Learning without training: The implicit dynamics of in-context learning
  48. Enhancing Hindi NER in Low Context: A Comparative study of Transformer-based models with vs. without Retrieval Augmentation
  49. Separating Ansatz Discovery from Deployment on Larger Problems: Reinforcement Learning for Modular Circuit Design
  50. Semantic-Aware Gaussian Process Calibration with Structured Layerwise Kernels for Deep Neural Networks
  51. On the transferability of Sparse Autoencoders for interpreting compressed models
  52. Efficient dataset construction using active learning and uncertainty-aware neural networks for plasma turbulent transport surrogate models
  53. CIS-BWE: Chaos-Informed Speech Bandwidth Extension
  54. A Lightweight Face Quality Assessment Framework to Improve Face Verification Performance in Real-Time Screening Applications
  55. Quantization-Aware Neuromorphic Architecture for Skin Lesion Classification on Resource-Constrained Devices
  56. An empirical study for the early detection of Mpox from skin lesion images using pretrained CNN models leveraging XAI technique
  57. Local Dense Logit Relations for Enhanced Knowledge Distillation
  58. Bayesian implementation of Targeted Maximum Likelihood Estimation for uncertainty quantification in causal effect estimation
  59. Foundation Models and Transformers for Anomaly Detection: A Survey
  60. Fast-VAT: Accelerating Cluster Tendency Visualization using Cython and Numba
  61. Improving the Generation of VAEs with High Dimensional Latent Spaces by the use of Hyperspherical Coordinates
  62. Structural DID with ML: Theory, Simulation, and a Roadmap for Applied Research
  63. A Generative Model for Disentangling Galaxy Photometric Parameters
  64. ReDi: Rectified Discrete Flow
  65. Latent Denoising Makes Good Tokenizers
  66. Winning Gold at IMO 2025 with a Model-Agnostic Verification-and-Refinement Pipeline
  67. Advancing Complex Video Object Segmentation via Progressive Concept Construction
  68. The Other Mind: How Language Models Exhibit Human Temporal Cognition
  69. 3LM: Bridging Arabic, STEM, and Code through Benchmarking
  70. Identifying Conditional Causal Effects in MPDAGs
  71. Look, Focus, Act: Efficient and Robust Robot Learning via Human Gaze and Foveated Vision Transformers
  72. Multi-Strategy Improved Snake Optimizer Accelerated CNN-LSTM-Attention-Adaboost for Trajectory Prediction
  73. Just Ask for Music (JAM): Multimodal and Personalized Natural Language Music Recommendation
  74. ACS: An interactive framework for conformal selection
  75. PhysVidBench: Language-Grounded Evaluation of Physical Commonsense in Text-to-Video Models
  76. Operationalizing AI for Good: Spotlight on Deployment and Integration of AI Models in Humanitarian Work
  77. Do AI models help produce verified bug fixes?
  78. Federated Split Learning with Improved Communication and Storage Efficiency
  79. ConformalSAM: Unlocking the Potential of Foundational Segmentation Models in Semi-Supervised Semantic Segmentation with Conformal Prediction
  80. Hypergraphs on high dimensional time series sets using signature transform
  81. Exploring Superposition and Interference in State-of-the-Art Low-Parameter Vision Models
  82. Regularized Low-Rank Adaptation for Few-Shot Organ Segmentation
  83. Small LLMs Do Not Learn a Generalizable Theory of Mind via Reinforcement Learning
  84. Graph Attention Specialized Expert Fusion Model for Node Classification: Based on Cora and Pubmed Datasets
  85. Understanding Teen Overreliance on AI Companion Chatbots Through Self-Reported Reddit Narratives
  86. Reservoir Computing as a Language Model
  87. Label tree semantic losses for rich multi-class medical image segmentation
  88. Dissociating model architectures from inference computations
  89. Learning Null Geodesics for Gravitational Lensing Rendering in General Relativity
  90. Time Series Forecasting Through the Lens of Dynamics
  91. Supernova: Achieving More with Less in Transformer Architectures
  92. Deep-Learning Investigation of Vibrational Raman Spectra for Plant-Stress Analysis
  93. Left Leaning Models: How AI Evaluates Economic Policy?
  94. Multi-Modal Sensor Fusion for Proactive Blockage Prediction in mmWave Vehicular Networks
  95. Learning from Heterogeneity: Generalizing Dynamic Facial Expression Recognition via Distributionally Robust Optimization
  96. Interaction as Intelligence: Deep Research With Human-AI Partnership
  97. DialogueForge: LLM Simulation of Human-Chatbot Dialogue
  98. CHROMA: Consistent Harmonization of Multi-View Appearance via Bilateral Grid Prediction
  99. Towards physician-centered oversight of conversational diagnostic AI
  100. A Fisher's exact test justification of the TF-IDF term-weighting scheme
  101. Conformal and kNN Predictive Uncertainty Quantification Algorithms in Metric Spaces
  102. IDRBench: Understanding the Capability of Large Language Models on Interdisciplinary Research
  103. Competitive Algorithms for Multi-Agent Ski-Rental Problems
  104. A Practical Investigation of Spatially-Controlled Image Generation with Transformers
  105. Explainable Anomaly Detection for Electric Vehicles Charging Stations
  106. From Queries to Criteria: Understanding How Astronomers Evaluate LLMs
  107. Chinchunmei at SemEval-2025 Task 11: Boosting the Large Language Model's Capability of Emotion Perception using Contrastive Learning
  108. Efficient Face Image Quality Assessment via Self-training and Knowledge Distillation
  109. Compositional Understanding in Signaling Games
  110. DWTGS: Rethinking Frequency Regularization for Sparse-view 3D Gaussian Splatting
  111. LINR-PCGC: Lossless Implicit Neural Representations for Point Cloud Geometry Compression
  112. Hi^2-GSLoc: Dual-Hierarchical Gaussian-Specific Visual Relocalization for Remote Sensing
  113. Missing value imputation with adversarial random forests -- MissARF
  114. GeoHNNs: Geometric Hamiltonian Neural Networks
  115. P3: Prompts Promote Prompting
  116. Towards Explainable Anomaly Detection in Shared Mobility Systems
  117. Leveraging Context for Multimodal Fallacy Classification in Political Debates
  118. Geometric design of the tangent term in landing algorithms for orthogonality constraints
  119. Uncovering Critical Features for Deepfake Detection through the Lottery Ticket Hypothesis
  120. Experimenting active and sequential learning in a medieval music manuscript
  121. Gaussian Splatting with Discretized SDF for Relightable Assets
  122. A Survey on Efficiency Optimization Techniques for DNN-based Video Analytics: Process Systems, Algorithms, and Applications
  123. TacticCraft: Natural Language-Driven Tactical Adaptation for StarCraft II
  124. Why can't Epidemiology be automated (yet)?
  125. Accelerating HEC-RAS: A Recurrent Neural Operator for Rapid River Forecasting
  126. Multi-Stage Prompt Inference Attacks on Enterprise LLM Systems
  127. CylinderPlane: Nested Cylinder Representation for 3D-aware Image Generation
  128. SurfaceSplat: Connecting Surface Reconstruction and Gaussian Splatting
  129. Optimal Batch-Size Control for Low-Latency Federated Learning with Device Heterogeneity
  130. Conflicting narratives and polarization on social media
  131. Applying the Chinese Wall Reverse Engineering Technique to Large Language Model Code Editing
  132. Red-Team Multi-Agent Reinforcement Learning for Emergency Braking Scenario
  133. Unequal Voices: How LLMs Construct Constrained Queer Narratives
  134. We Need to Rethink Benchmarking in Anomaly Detection
  135. Metric assessment protocol in the context of answer fluctuation on MCQ tasks
  136. Compress-Align-Detect: onboard change detection from unregistered images
  137. GeMix: Conditional GAN-Based Mixup for Improved Medical Image Augmentation
  138. Smart Eyes for Silent Threats: VLMs and In-Context Learning for THz Imaging
  139. On the Role of AI in Managing Satellite Constellations: Insights from the ConstellAI Project
  140. Prediction accuracy versus rescheduling flexibility in elective surgery management
  141. Evaluating Text Style Transfer: A Nine-Language Benchmark for Text Detoxification
  142. The added value for MRI radiomics and deep-learning for glioblastoma prognostication compared to clinical and molecular information
  143. Data Aware Differentiable Neural Architecture Search for Tiny Keyword Spotting Applications
  144. HOLa: Zero-Shot HOI Detection with Low-Rank Decomposed VLM Feature Adaptation
  145. Towards Holistic Surgical Scene Graph
  146. Procedure Learning via Regularized Gromov-Wasserstein Optimal Transport
  147. RARE-UNet: Resolution-Aligned Routing Entry for Adaptive Medical Image Segmentation
  148. An Investigation of Test-time Adaptation for Audio Classification under Background Noise
  149. SAIGFormer: A Spatially-Adaptive Illumination-Guided Network for Low-Light Image Enhancement
  150. Quantifying and Narrowing the Unknown: Interactive Text-to-Video Retrieval via Uncertainty Minimization
  151. FollowUpBot: An LLM-Based Conversational Robot for Automatic Postoperative Follow-up
  152. ASPERA: A Simulated Environment to Evaluate Planning for Complex Action Execution
  153. Dense-depth map guided deep Lidar-Visual Odometry with Sparse Point Clouds and Images
  154. An aerial color image anomaly dataset for search missions in complex forested terrain
  155. Prompt-aware of Frame Sampling for Efficient Text-Video Retrieval
  156. DeSamba: Decoupled Spectral Adaptive Framework for 3D Multi-Sequence MRI Lesion Classification
  157. Information Preserving Line Search via Bayesian Optimization
  158. The Constitutional Controller: Doubt-Calibrated Steering of Compliant Agents
  159. A Steel Surface Defect Detection Method Based on Lightweight Convolution Optimization
  160. FedMultiEmo: Real-Time Emotion Recognition via Multimodal Federated Learning
  161. The Emergence of Deep Reinforcement Learning for Path Planning
  162. Privacy-Preserving Multimodal News Recommendation through Federated Learning
  163. Optimization of Activity Batching Policies in Business Processes
  164. Solving nonconvex Hamilton--Jacobi--Isaacs equations with PINN-based policy iteration
  165. ObjectGS: Object-aware Scene Reconstruction and Scene Understanding via Gaussian Splatting
  166. Low-Latency Event-Based Velocimetry for Quadrotor Control in a Narrow Pipe
  167. An Adaptive Random Fourier Features approach Applied to Learning Stochastic Differential Equations
  168. Inexact calculus of variations on the hyperspherical tangent bundle with connections to the attention mechanism
  169. SurgX: Neuron-Concept Association for Explainable Surgical Phase Recognition
  170. Predictive Process Monitoring Using Object-centric Graph Embeddings
  171. Rethinking Occlusion in FER: A Semantic-Aware Perspective and Go Beyond
  172. Blended Point Cloud Diffusion for Localized Text-guided Shape Editing
  173. MAP Estimation with Denoisers: Convergence Rates and Guarantees
  174. Neuro-MSBG: An End-to-End Neural Model for Hearing Loss Simulation
  175. PiMRef: Deducing Ever-evolving Spear-phishing Emails with Knowledge Base Invariants
  176. Learning to Gridize: Segment Physical World by Wireless Communication Channel
  177. To Label or Not to Label: PALM -- A Predictive Model for Evaluating Sample Efficiency in Active Learning Models
  178. Multi-beam Beamforming in RIS-aided MIMO Subject to Reradiation Mask Constraints -- Optimization and Machine Learning Design
  179. DAViD: Data-efficient and Accurate Vision Models from Synthetic Data
  180. EEG-based Epileptic Prediction via a Two-stage Channel-aware Set Transformer Network
  181. Latent Space Synergy: Text-Guided Data Augmentation for Direct Diffusion Biomedical Segmentation
  182. Metaphor and Large Language Models: When Surface Features Matter More than Deep Understanding
  183. Efficient Visual Appearance Optimization by Learning from Prior Preferences
  184. One Step is Enough: Multi-Agent Reinforcement Learning based on One-Step Policy Optimization for Order Dispatch on Ride-Sharing Platforms
  185. Scaling Decentralized Learning with FLock
  186. Probing Information Distribution in Transformer Architectures through Entropy Analysis
  187. StackTrans: From Large Language Model to Large Pushdown Automata Model
  188. MedSR-Impact: Transformer-Based Super-Resolution for Lung CT Segmentation, Radiomics, Classification, and Prognosis
  189. LionGuard 2: Building Lightweight, Data-Efficient & Localised Multilingual Content Moderators
  190. Beyond Model Base Retrieval: Weaving Knowledge to Master Fine-grained Neural Network Design
  191. ExDD: Explicit Dual Distribution Learning for Surface Defect Detection via Diffusion Synthesis
  192. BenchDepth: Are We on the Right Way to Evaluate Depth Foundation Models?
  193. Language Generation in the Limit: Noise, Loss, and Feedback
  194. Universal crystal material property prediction via multi-view geometric fusion in graph transformers
  195. Minutiae-Anchored Local Dense Representation for Fingerprint Matching
  196. EndoControlMag: Robust Endoscopic Vascular Motion Magnification with Periodic Reference Resetting and Hierarchical Tissue-aware Dual-Mask Control
  197. Feel-Good Thompson Sampling for Contextual Bandits: a Markov Chain Monte Carlo Showdown
  198. Preferential subspace identification (PSID) with forward-backward smoothing
  199. Mixture of Autoencoder Experts Guidance using Unlabeled and Incomplete Data for Exploration in Reinforcement Learning
  200. Beyond Easy Wins: A Text Hardness-Aware Benchmark for LLM-generated Text Detection
  201. Temporal Basis Function Models for Closed-Loop Neural Stimulation
  202. A2TTS: TTS for Low Resource Indian Languages
  203. GREAT: Guiding Query Generation with a Trie for Recommending Related Search about Video at Kuaishou
  204. On exploration of an interior mirror descent flow for stochastic nonconvex constrained problem
  205. Physics-Informed Learning of Proprietary Inverter Models for Grid Dynamic Studies
  206. MinCD-PnP: Learning 2D-3D Correspondences with Approximate Blind PnP
  207. Optimal Transceiver Design in Over-the-Air Federated Distillation
  208. MEETI: A Multimodal ECG Dataset from MIMIC-IV-ECG with Signals, Images, Features and Interpretations
  209. User Head Movement-Predictive XR in Immersive H2M Collaborations over Future Enterprise Networks
  210. Disentangling Homophily and Heterophily in Multimodal Graph Clustering
  211. Spatio-Temporal Demand Prediction for Food Delivery Using Attention-Driven Graph Neural Networks
  212. Cross-Domain Few-Shot Learning with Coalescent Projections and Latent Space Reservation
  213. Exact Reformulation and Optimization for Direct Metric Optimization in Binary Imbalanced Classification
  214. Explainable Artificial Intelligence based Soft Evaluation Indicator for Arc Fault Diagnosis
  215. SOI Matters: Analyzing Multi-Setting Training Dynamics in Pretrained Language Models via Subsets of Interest
  216. Accelerated Bayesian Optimal Experimental Design via Conditional Density Estimation and Informative Data
  217. Robust and Differentially Private Principal Component Analysis
  218. Mammo-SAE: Interpreting Breast Cancer Concept Learning with Sparse Autoencoders
  219. SimdBench: Benchmarking Large Language Models for SIMD-Intrinsic Code Generation
  220. Hierarchical Part-based Generative Model for Realistic 3D Blood Vessel
  221. Misspecifying non-compensatory as compensatory IRT: analysis of estimated skills and variance
  222. Exploiting Context-dependent Duration Features for Voice Anonymization Attack Systems
  223. Long-Short Distance Graph Neural Networks and Improved Curriculum Learning for Emotion Recognition in Conversation
  224. Personalized 4D Whole Heart Geometry Reconstruction from Cine MRI for Cardiac Digital Twins
  225. Collaborative Distillation Strategies for Parameter-Efficient Language Model Deployment
  226. Feature Construction Using Network Control Theory and Rank Encoding for Graph Machine Learning
  227. Personalized 3D Myocardial Infarct Geometry Reconstruction from Cine MRI with Explicit Cardiac Motion Modeling
  228. A Study of Anatomical Priors for Deep Learning-Based Segmentation of Pheochromocytoma in Abdominal CT
  229. Joint-Local Grounded Action Transformation for Sim-to-Real Transfer in Multi-Agent Traffic Control
  230. Better Models and Algorithms for Learning Ising Models from Dynamics