mlsanityData to 14 Oct 2026

Papers

New on arXiv

Tue 4 Nov 2025

332 papers

  1. V-Agent: An Interactive Video Search System Using Vision-Language ModelsMultimodal LLMs / vision-language models → Video understanding with MLLMs +1
  2. Evaluating Large Language Models for Workload Mapping and Scheduling in Heterogeneous HPC SystemsLLM reasoning → Test-time compute and efficient thinking
  3. Mina: A Multilingual LLM-Powered Legal Assistant Agent for Bangladesh for Empowering Access to JusticeLLM agents and tool use → Social simulation and multi-agent debate
  4. A Preliminary Study of RAG for Taiwanese Historical ArchivesRetrieval-augmented generation → RAG pipeline design and evaluation
  5. Fine-Tuning Vision-Language Models for Multimodal Polymer Property PredictionMultimodal LLMs / vision-language models → Chart understanding and anomaly detection
  6. Video Text Preservation with Synthetic Text-Rich VideosDiffusion models → Video generation
  7. C3-Diff: Super-resolving Spatial Transcriptomics via Cross-modal Cross-content Contrastive Diffusion ModellingDiffusion models → Medical imaging and segmentation
  8. In-Context Adaptation of VLMs for Few-Shot Cell Detection in Optical MicroscopyMultimodal LLMs / vision-language models → Medical vision-language models
  9. M2S2L: Mamba-based Multi-Scale Spatial-temporal Learning for Video Anomaly DetectionState-space sequence models (S4, Mamba) → Time series forecasting with SSMs
  10. Lookahead Unmasking Elicits Accurate Decoding in Diffusion Language ModelsDiffusion models → Discrete and text diffusion
  11. Effective Test-Time Scaling of Discrete Diffusion through Iterative RefinementLLM reasoning → Diffusion reasoning and test-time scaling +1
  12. Diversified Flow Matching with Translation IdentifiabilityDiffusion models → Flow matching, time series and science
  13. WorldPlanner: Monte Carlo Tree Search and MPC with Action-Conditioned Visual World ModelsWorld models → Embodied and robot world models
  14. A Collaborative Reasoning Framework for Anomaly Diagnostics in Underwater RoboticsLLM reasoning → Spatial and embodied reasoning
  15. No-Human in the Loop: Agentic Evaluation at Scale for RecommendationLLM agents and tool use → Agentic recommender systems
  16. PublicAgent: Multi-Agent Design Principles From an LLM-Based Open Data Analysis FrameworkLLM agents and tool use → Web, search, and research agents
  17. SLIP: Structural-aware Language-Image Pretraining for Vision-Language AlignmentMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
  18. Discrete Bayesian Sample Inference for Graph GenerationDiffusion models → Flow matching, time series and science
  19. Error-Aware Knowledge Distillation via Targeted Revision for Customer-Service SummarizationKnowledge distillation → Knowledge distillation for LLMs
  20. Evaluating Control Protocols for Untrusted AI AgentsLLM safety and security → Prompt injection and agent security
  21. SCALE-VLP: Soft-Weighted Contrastive Volumetric Vision-Language Pre-training with Spatial-Knowledge SemanticsMultimodal LLMs / vision-language models → Medical vision-language models
  22. Scalable Single-Cell Gene Expression Generation with Latent Diffusion ModelsDiffusion models → Flow matching, time series and science
  23. Value of Information-Enhanced Exploration in Bootstrapped DQNDeep reinforcement learning methods → Deep RL algorithms and representations
  24. Cache Mechanism for Agent RAG SystemsRetrieval-augmented generation → Agentic RAG, agents and memory +1
  25. Adaptive and Robust Data Poisoning Detection and Sanitization in Wearable IoT Systems using Large Language ModelsLLM safety and security → Backdoor and data poisoning attacks
  26. Agent-Omni: Test-Time Multimodal Reasoning via Model Coordination for Understanding AnythingLLM reasoning → Multimodal reasoning +2
  27. In Good GRACEs: Principled Teacher Selection for Knowledge DistillationKnowledge distillation → General knowledge distillation methods
  28. Kosmos: An AI Scientist for Autonomous DiscoveryWorld models → World models for language agents
  29. MemSearcher: Training LLMs to Reason, Search and Manage Memory via End-to-End Reinforcement LearningLLM reasoning → Reasoning for agents, planning and code
  30. When One Modality Sabotages the Others: A Diagnostic Lens on Multimodal ReasoningLLM reasoning → Multimodal reasoning +1
  31. Diffusion Models are Robust PretrainersDiffusion models → Robustness, privacy and adversarial aspects
  32. PoCo: Agentic Proof-of-Concept Exploit Generation for Smart ContractsLLM agents and tool use → Agent threats, guardrails and governance
  33. When Visualizing is the First Step to Reasoning: MIRA, a Benchmark for Visual Chain-of-ThoughtLLM reasoning → Multimodal reasoning
  34. XR-1: Towards Versatile Vision-Language-Action Models via Learning Unified Vision-Motion RepresentationsMultimodal LLMs / vision-language models → Embodied and 3D vision-language models +1
  35. Controlling Performance and Budget of a Centralized Multi-agent LLM System with Reinforcement LearningLLM agents and tool use → Reinforcement learning for LLM agents
  36. Using Span Queries to Optimize for Cache and Attention LocalityLLM reasoning → Test-time compute and efficient thinking +1
  37. Agentic World Modeling for 6G: Near-Real-Time Generative State-Space ReasoningWorld models → World models for language agents +2
  38. CostBench: Evaluating Multi-Turn Cost-Optimal Planning and Adaptation in Dynamic Environments for LLM Tool-Use AgentsLLM agents and tool use → General LLM agent frameworks and benchmarks
  39. VidEmo: Affective-Tree Reasoning for Emotion-Centric Video Foundation ModelsLLM reasoning → Audio-language model reasoning
  40. Policy Gradient Methods for Information-Theoretic Opacity in Markov Decision ProcessesDeep reinforcement learning methods → RL theory and sample complexity
  41. Curriculum Design for Trajectory-Constrained Agent: Compressing Chain-of-Thought Tokens in LLMsLLM reasoning → Reasoning for agents, planning and code +1
  42. The Collaboration Gap: Exploration and Benchmarking of Open-World Agentic CooperationLLM agents and tool use → General LLM agent frameworks and benchmarks
  43. Optimal Singular Damage: Efficient LLM Inference in Low Storage RegimesEfficient LLM inference and serving → Serving systems and request scheduling
  44. Apriel-H1: Towards Efficient Enterprise Reasoning ModelsLLM reasoning → Test-time compute and efficient thinking +1
  45. Can Visual Input Be Compressed? A Visual Token Compression Benchmark for Large Multimodal ModelsMultimodal LLMs / vision-language models → Visual token pruning and efficiency +1
  46. Natural-gas storage modelling by deep reinforcement learningDeep reinforcement learning methods → RL for energy, networks and operations
  47. DecompSR: A dataset for decomposed analyses of compositional multihop spatial reasoningLLM reasoning → Spatial and embodied reasoning
  48. The Realignment Problem: When Right becomes Wrong in LLMsLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
  49. UniChange: Unifying Change Detection with Multimodal Large Language ModelMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
  50. Adaptive GR(1) Specification Repair for Liveness-Preserving Shielding in Reinforcement LearningDeep reinforcement learning methods → Safe and constrained RL
  51. CGES: Confidence-Guided Early Stopping for Efficient and Accurate Self-ConsistencyLLM reasoning → Test-time compute and efficient thinking
  52. The ORCA Benchmark: Evaluating Real-World Calculation Accuracy in Large Language ModelsLLM reasoning → Mathematical reasoning
  53. TAUE: Training-free Noise Transplant and Cultivation Diffusion ModelDiffusion models → Image generation, text-to-image and editing
  54. Directional-Clamp PPODeep reinforcement learning methods → RL theory and sample complexity
  55. Adaptive Neighborhood-Constrained Q Learning for Offline Reinforcement LearningOffline RL and imitation learning from data → Offline RL algorithms
  56. Agentic AI for Mobile Network RAN Management and OptimizationLLM reasoning → Reasoning for agents, planning and code +1
  57. Adapting General-Purpose Foundation Models for X-ray Ptychography in Low-Data RegimesMultimodal LLMs / vision-language models → Medical vision-language models
  58. BRAINS: A Retrieval-Augmented System for Alzheimer's Detection and MonitoringRetrieval-augmented generation → Medical and biomedical RAG
  59. Lost in Code Generation: Reimagining the Role of Software Models in AI-driven Software EngineeringLLM agents and tool use → Software engineering coding agents
  60. Modeling Hawkish-Dovish Latent Beliefs in Multi-Agent Debate-Based LLMs for Monetary Policy Decision ClassificationLLM agents and tool use → Financial trading and forecasting agents
  61. Extending RLVR to Open-Ended Tasks via Verifiable Multiple-Choice ReformulationLLM reasoning → Reinforcement learning for reasoning
  62. Improving DF-Conformer Using Hydra For High-Fidelity Generative Speech Enhancement on Discrete Codec TokenState-space sequence models (S4, Mamba) → Speech and audio SSMs
  63. Merging Continual Pretraining Models for Domain-Specialized LLMs: A Case Study in FinanceLLM reasoning → Reasoning for agents, planning and code
  64. Improving Unlearning with Model Updates Probably Aligned with GradientsLLM safety and security → Machine unlearning
  65. From the Laboratory to Real-World Application: Evaluating Zero-Shot Scene Interpretation on Edge Devices for Mobile RoboticsLLM reasoning → Spatial and embodied reasoning
  66. ReAcTree: Hierarchical LLM Agent Trees with Control Flow for Long-Horizon Task PlanningLLM agents and tool use → General LLM agent frameworks and benchmarks
  67. Wasserstein Convergence of Critically Damped Langevin DiffusionsDiffusion models → Diffusion foundations and sampling
  68. ChartM3: A Multi-Stage Code-Driven Pipeline for Constructing Multi-Dimensional and Multi-Step Visual Reasoning Data in Chart ComprehensionLLM reasoning → Multimodal reasoning +1
  69. IllumFlow: Illumination-Adaptive Low-Light Enhancement via Conditional Rectified Flow and Retinex DecompositionDiffusion models → Inverse problems and image restoration
  70. Towards Iterative End-to-End Software Development: A Feature-Driven Multi-Agent FrameworkLLM agents and tool use → Software engineering coding agents
  71. AutoAdv: Automated Adversarial Prompting for Multi-Turn Jailbreaking of Large Language ModelsLLM safety and security → Jailbreaking
  72. LUMA-RAG: Lifelong Multimodal Agents with Provably Stable Streaming AlignmentRetrieval-augmented generation → Multimodal RAG +1
  73. The Pervasive Blind Spot: Benchmarking VLM Inference Risks on Everyday Personal VideosMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness
  74. LaRe: Latent Refocusing for Multimodal ReasoningLLM reasoning → Multimodal reasoning
  75. ASTRA: An Automated Framework for Strategy Discovery, Retrieval, and Evolution for Jailbreaking LLMsLLM alignment / RLHF / preference optimisation → Safety alignment and jailbreak attacks +1
  76. SWE-Sharp-Bench: A Reproducible Benchmark for C# Software Engineering TasksLLM agents and tool use → Software engineering coding agents
  77. LTD-Bench: Evaluating Large Language Models by Letting Them DrawLLM reasoning → Spatial and embodied reasoning
  78. RoME: Domain-Robust Mixture-of-Experts for MILP Solution Prediction across DomainsMixture-of-experts → Expert routing strategies
  79. The Sequential Edge: Inverse-Entropy Voting Beats Parallel Self-Consistency at Matched ComputeLLM reasoning → Test-time compute and efficient thinking
  80. Unlocking the Power of Multi-Agent LLM for Reasoning: From Lazy Agents to DeliberationLLM reasoning → Reasoning for agents, planning and code +1
  81. FP8-Flow-MoE: A Casting-Free FP8 Recipe without Double Quantization ErrorMixture-of-experts → Efficient MoE training and inference systems
  82. Reinforcement learning based data assimilation for unknown state modelDeep reinforcement learning methods → RL theory and sample complexity
  83. VFocus: Better Verilog Generation from Large Language Model via Focused ReasoningLLM reasoning → Reasoning for agents, planning and code
  84. SAIL-RL: Guiding MLLMs in When and How to Think via Dual-Reward RL TuningLLM reasoning → Reinforcement learning for reasoning +1
  85. From Models to Operators: Rethinking Autoscaling Granularity for Large Generative ModelsLLM reasoning → Diffusion reasoning and test-time scaling
  86. When Modalities Conflict: How Unimodal Reasoning Uncertainty Governs Preference Dynamics in MLLMsLLM reasoning → Multimodal reasoning +1
  87. LACY: A Vision-Language Model-based Language-Action Cycle for Self-Improving Robotic ManipulationMultimodal LLMs / vision-language models → Embodied and 3D vision-language models +1
  88. Deep Ideation: Designing LLM Agents to Generate Novel Research Ideas on Scientific Concept NetworkLLM agents and tool use → Web, search, and research agents
  89. Opportunistic Expert Activation: Batch-Aware Expert Routing for Faster Decode Without RetrainingMixture-of-experts → Expert routing strategies
  90. An Evaluation of Interleaved Instruction Tuning on Semantic Reasoning Performance in an Audio MLLMLLM reasoning → Audio-language model reasoning +1
  91. Continuum: Efficient and Robust Multi-Turn LLM Agent Scheduling with KV Cache Time-to-LiveLLM agents and tool use → Software engineering coding agents +1
  92. Learning Interactive World Model for Object-Centric Reinforcement LearningWorld models → Latent predictive world models +1
  93. TabDSR: Decompose, Sanitize, and Reason for Complex Numerical Reasoning in Tabular DataLLM reasoning → Knowledge- and tool-augmented reasoning
  94. Optimizing Multi-Lane Intersection Performance in Mixed Autonomy EnvironmentsDeep reinforcement learning methods → RL for autonomous driving and traffic
  95. Adaptive Cooperative Transmission Design for Ultra-Reliable Low-Latency Communications via Deep Reinforcement LearningDeep reinforcement learning methods → RL for energy, networks and operations
  96. Training Proactive and Personalized LLM AgentsLLM agents and tool use → General LLM agent frameworks and benchmarks
  97. Optimal-Agent-Selection: State-Aware Routing Framework for Efficient Multi-Agent CollaborationLLM agents and tool use → General LLM agent frameworks and benchmarks
  98. Open the Oyster: Empirical Evaluation and Improvement of Code Reasoning Confidence in LLMsLLM reasoning → Reasoning for agents, planning and code
  99. Personalized Decision Modeling: Utility Optimization or Textualized-Symbolic ReasoningLLM reasoning → Reasoning benchmarks and evaluation
  100. MM-UNet: Morph Mamba U-shaped Convolutional Networks for Retinal Vessel SegmentationState-space sequence models (S4, Mamba) → Mamba for medical image analysis
All 332
  1. A Quantitative Comparison of Centralised and Distributed Reinforcement Learning-Based Control for Soft Robotic ArmsDeep reinforcement learning methods → Multi-agent reinforcement learning
  2. Pinpointing Trigger Moment for Grounded Video QA: Enhancing Spatio-temporal Grounding in Multimodal Large Language ModelsMultimodal LLMs / vision-language models → Video understanding with MLLMs
  3. Text to Robotic Assembly of Multi Component Objects using 3D Generative AI and Vision Language ModelsMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
  4. Cinder: A fast and fair matchmaking system
  5. A Recommendation System-Based Framework for Enhancing Human-Machine Collaboration in Industrial Timetabling Rescheduling: Application in Preventive Maintenance
  6. Leveraging Foundation Models for Calibration-Free c-VEP BCIs
  7. Reservoir Computing via Multi-Scale Random Fourier Features for Forecasting Fast-Slow Dynamical Systems
  8. GegenbauerNet: Finding the Optimal Compromise in the GNN Flexibility-Stability Trade-off
  9. DualLaguerreNet: A Decoupled Spectral Filter GNN and the Uncovering of the Flexibility-Stability Trade-off
  10. Lightweight Hopfield Neural Networks for Bioacoustic Detection and Call Monitoring of Captive Primates
  11. Beyond the GPU: The Strategic Role of FPGAs in the Next Wave of AI
  12. Physics-Informed Neural Network-based Reliability Analysis of Buried Pipelines
  13. Sequential Bayesian Evaluation of Large Language Model Behavior
  14. Test-Time Steering for Lossless Text Compression via Weighted Product of Experts
  15. From Euler to Today: Universal Mathematical Fallibility A Large-Scale Computational Analysis of Errors in ArXiv Papers
  16. DiffSwap++: 3D Latent-Controlled Diffusion for Identity-Preserving Face Swapping
  17. Elements of Active Continuous Learning and Uncertainty Self-Awareness: a Narrow Implementation for Face and Facial Expression Recognition
  18. Do Street View Imagery and Public Participation GIS align: Comparative Analysis of Urban Attractiveness
  19. Data-driven jet fuel demand forecasting: A case study of Copenhagen Airport
  20. Adaptive Sample-Level Framework Motivated by Distributionally Robust Optimization with Variance-Based Radius Assignment for Enhanced Neural Network Generalization Under Distribution Shift
  21. Automatic Extraction of Road Networks by using Teacher-Student Adaptive Structural Deep Belief Network and Its Application to Landslide Disaster
  22. Efficient Online Continual Learning in Sensor-Based Human Activity Recognition
  23. FilletRec: A Lightweight Graph Neural Network with Intrinsic Features for Automated Fillet Recognition
  24. Sample-Efficient Language Modeling with Linear Attention and Lightweight Enhancements
  25. Prioritize Economy or Climate Action? Investigating ChatGPT Response Differences Based on Inferred Political Orientation
  26. POLIS-Bench: Towards Multi-Dimensional Evaluation of LLMs for Bilingual Policy Tasks in Governmental Scenarios
  27. Federated Learning with Gramian Angular Fields for Privacy-Preserving ECG Classification on Heterogeneous IoT Devices
  28. Applying Time Series Deep Learning Models to Forecast the Growth of Perennial Ryegrass in Ireland
  29. Online Learning to Rank under Corruption: A Robust Cascading Bandits Approach
  30. Epidemiology of Large Language Models: A Benchmark for Observational Distribution Knowledge
  31. Graph Homomorphism Distortion: A structural (pseudo)-metric for attributed graphs
  32. The Curved Spacetime of Transformer Architectures
  33. Reading Between the Lines: The One-Sided Conversation Problem
  34. From Propagation to Prediction: Point-level Uncertainty Evaluation of MLS Point Clouds under Limited Ground Truth
  35. Min-Max Optimization Is Strictly Easier Than Variational Inequalities
  36. Precise asymptotic analysis of Sobolev training for random feature models
  37. ROBoto2: An Interactive System and Dataset for LLM-assisted Clinical Trial Risk of Bias Assessment
  38. Unsupervised Evaluation of Multi-Turn Objective-Driven Interactions
  39. Data-Efficient Realized Volatility Forecasting with Vision Transformers
  40. Data-Efficient Adaptation and a Novel Evaluation Method for Aspect-based Sentiment Analysis
  41. Leveraging Discrete Function Decomposability for Scientific Design
  42. Adaptive-Sensorless Monitoring of Shipping Containers
  43. Exploratory Analysis of Cyberattack Patterns on E-Commerce Platforms Using Statistical Methods
  44. A Foundation Model for Brain MRI with Dynamic Modality Integration
  45. Heterogeneous Metamaterials Design via Multiscale Neural Implicit Representation
  46. Learning with less: label-efficient land cover classification at very high spatial resolution using self-supervised deep learning
  47. Apples on the Table? Evaluating Text-Guided 3D Scene Synthesis via Fine-Grained Constraint Verification
  48. Unifying Information-Theoretic and Pair-Counting Clustering Similarity
  49. Comprehensive Assessment of LiDAR Evaluation Metrics: A Comparative Study Using Simulated and Real Data
  50. Hybrid Convolution and Vision Transformer NAS Search Space for TinyML Image Classification
  51. Systematizing LLM Persona Design: A Four-Quadrant Technical Taxonomy for AI Companion Applications
  52. Inference-Time Personalized Alignment with a Few User Preference Queries
  53. Automatic Machine Translation Detection Using a Surrogate Multilingual Translation Model
  54. Digital Twin-Driven Pavement Health Monitoring and Maintenance Optimization Using Graph Neural Networks
  55. EvtSlowTV -- A Large and Diverse Dataset for Event-Based Depth Estimation
  56. ProM3E: Probabilistic Masked MultiModal Embedding Model for Ecology
  57. Power Constrained Nonstationary Bandits with Habituation and Recovery Dynamics
  58. From Narrow to Wide: Autoencoding Transformers for Ultrasound Bandwidth Recovery
  59. Zero-shot data citation function classification using transformer-based large language models (LLMs)
  60. Generative Hints
  61. Domain-Adaptive Transformer for Data-Efficient Glioma Segmentation in Sub-Saharan MRI
  62. Cropland Mapping using Geospatial Embeddings
  63. Performance Evaluation of Bitstring Representations in a Linear Genetic Programming Framework
  64. A Criminology of Machines
  65. Optimizing the nnU-Net model for brain tumor (Glioma) segmentation Using a BraTS Sub-Saharan Africa (SSA) dataset
  66. NABench: Large-Scale Benchmarks of Nucleotide Foundation Models for Fitness Prediction
  67. Predicting Weekly Fishing Concentration Zones through Deep Learning Integration of Heterogeneous Environmental Spatial Datasets
  68. Test-time Adaptation of Tiny Recursive Models
  69. AgentSLA : Towards a Service Level Agreement for AI Agents
  70. NEF-NET+: Adapting Electrocardio panorama in the wild
  71. Stochastic Deep Graph Clustering for Practical Group Formation
  72. A Novel Reservoir Computing Framework for Chaotic Time Series Prediction Using Time Delay Embedding and Random Fourier Features
  73. Academics and Generative AI: Empirical and Epistemic Indicators of Policy-Practice Voids
  74. FATE: A Formal Benchmark Series for Frontier Algebra of Multiple Difficulty Levels
  75. TWIST2: Scalable, Portable, and Holistic Humanoid Data Collection System
  76. GeoCrossBench: Cross-Band Generalization for Remote Sensing
  77. Densemarks: Learning Canonical Embeddings for Human Heads Images via Point Tracks
  78. PLUTO-4: Frontier Pathology Foundation Models
  79. Neurosymbolic Deep Learning Semantics
  80. Optimizing AI Agent Attacks With Synthetic Data
  81. Accelerated Frank-Wolfe Algorithms: Complementarity Conditions and Sparsity
  82. Orion-MSP: Multi-Scale Sparse Attention for Tabular In-Context Learning
  83. Oolong: Evaluating Long Context Reasoning and Aggregation Capabilities
  84. Assessing win strength in MLB win prediction models
  85. TabTune: A Unified Library for Inference and Fine-Tuning Tabular Foundation Models
  86. Fast, Private, and Protected: Safeguarding Data Privacy and Defending Against Model Poisoning Attacks in Federated Learning
  87. Can LLMs subtract numbers?
  88. AI-Generated Image Detection: An Empirical Study and Future Research Directions
  89. Enhancing Federated Learning Privacy with QUBO
  90. Measuring AI Diffusion: A Population-Normalized Metric for Tracking Global AI Usage
  91. VCode: a Multimodal Coding Benchmark with SVG as Symbolic Visual Representation
  92. PercHead: Perceptual Head Model for Single-Image 3D Head Reconstruction & Editing
  93. Adam Reduces a Unique Form of Sharpness: Theoretical Insights Near the Minimizer Manifold
  94. Beyond Single Embeddings: Capturing Diverse Targets with Multi-Query Retrieval
  95. STAR-VAE: A Scalable Latent-Variable Transformer for Controllable Molecular Generation
  96. Dynamic Reflections: Probing Video Representations with Text Alignment
  97. VecComp: Vector Computing via MIMO Digital Over-the-Air Computation
  98. From Solo to Symphony: Orchestrating Multi-Agent Collaboration with Single-Agent Demos
  99. LLM-Supported Formal Knowledge Representation for Enhancing Control Engineering Content with an Interactive Semantic Layer
  100. ConMeZO: Adaptive Descent-Direction Sampling for Gradient-Free Finetuning of Large Language Models
  101. DANIEL: A Distributed and Scalable Approach for Global Representation Learning with EHR Applications
  102. AI Diffusion in Low Resource Language Countries
  103. Calibration improves detection of mislabeled examples
  104. Association-sensory spatiotemporal hierarchy and functional gradient-regularised recurrent neural network with implications for schizophrenia
  105. PETra: A Multilingual Corpus of Pragmatic Explicitation in Translation
  106. LLEXICORP: End-user Explainability of Convolutional Neural Networks
  107. Does Interpretability of Knowledge Tracing Models Support Teacher Decision Making?
  108. An unscented Kalman filter method for real time input-parameter-state estimation
  109. Optimizing Kernel Discrepancies via Subset Selection
  110. Modality-Transition Representation Learning for Visible-Infrared Person Re-Identification
  111. RL-Aided Cognitive ISAC: Robust Detection and Sensing-Communication Trade-offs
  112. Scalable Evaluation and Neural Models for Compositional Generalization
  113. In Situ Training of Implicit Neural Compressors for Scientific Simulations via Sketch-Based Regularization
  114. A Byzantine-Robust Federated Learning with Nesterov Momentum
  115. Differentiable Hierarchical Visual Tokenization
  116. Federated Attention: A Distributed Paradigm for Collaborative LLM Inference over Edge Networks
  117. Robust Face Liveness Detection for Biometric Authentication using Single Image
  118. Recursively Enumerably Representable Classes and Computable Versions of the Fundamental Theorem of Statistical Learning
  119. Understanding New-Knowledge-Induced Factual Hallucinations in LLMs: Analysis and Interpretation
  120. Condition Numbers and Eigenvalue Spectra of Shallow Networks on Spheres
  121. Verifying LLM Inference to Detect Model Weight Exfiltration
  122. A Non-Adversarial Approach to Idempotent Generative Modelling
  123. Towards Migrating Neural Network Implementations
  124. A Multi-Agent Psychological Simulation System for Human Behavior Modeling
  125. Trustworthy Quantum Machine Learning: A Roadmap for Reliability, Robustness, and Security in the NISQ Era
  126. On The Dangers of Poisoned LLMs In Security Automation
  127. Next Token Knowledge Tracing: Exploiting Pretrained LLM Representations to Decode Student Behaviour
  128. A Large Language Model for Corporate Credit Scoring
  129. Zero-Shot Multi-Animal Tracking in the Wild
  130. The Analysis of Lexical Errors in Machine Translation from English into Romanian
  131. Redundancy Maximization as a Principle of Associative Memory Learning in Hopfield Networks
  132. Resource-efficient Automatic Refinement of Segmentations via Weak Supervision from Light Feedback
  133. RIS-Assisted 3D Spherical Splatting for Object Composition Visualization using Detection Transformers
  134. Dynamic Priors in Bayesian Optimization for Hyperparameter Optimization
  135. A Cognitive Process-Inspired Architecture for Subject-Agnostic Brain Visual Decoding
  136. Seeing Across Time and Views: Multi-Temporal Cross-View Learning for Robust Video Person Re-Identification
  137. The Urban Vision Hackathon Dataset and Models: Towards Image Annotations and Accurate Vision Models for Indian Traffic
  138. SigmaCollab: An Application-Driven Dataset for Physically Situated Collaboration
  139. Forecasting Future Anatomies: Longitudinal Brain Mri-to-Mri Prediction
  140. Unsupervised Learning for Industrial Defect Detection: A Case Study on Shearographic Data
  141. Smart-Hiring: An Explainable end-to-end Pipeline for CV Information Extraction and Job Matching
  142. Theoretical Guarantees for Causal Discovery on Large Random Graphs
  143. Knowledge Graph-enhanced Large Language Model for Incremental Game PlayTesting
  144. Rawlsian many-to-one matching with non-linear utility
  145. Causal Graph Neural Networks for Healthcare
  146. Many-vs-Many Missile Guidance via Virtual Targets
  147. An End-to-End Learning Approach for Solving Capacitated Location-Routing Problems
  148. LiteVoxel: Low-memory Intelligent Thresholding for Efficient Voxel Rasterization
  149. Keeping it Local, Tiny and Real: Automated Report Generation on Edge Computing Devices for Mechatronic-Based Cognitive Systems
  150. ESA: Energy-Based Shot Assembly Optimization for Automatic Video Editing
  151. Geometry as a Missing Axis of Representation Quality: The Variational Geometric Information Bottleneck under Data Scarcity
  152. DetectiumFire: A Comprehensive Multi-modal Dataset Bridging Vision and Language for Fire Understanding
  153. Object-aware graph matching network for cross-domain remote sensing image localization
  154. Learning CNF formulas from uniform random solutions in the local lemma regime
  155. OLATverse: A Large-scale Real-world Object Dataset with Precise Lighting Control
  156. NOWS: Neural Operator Warm Starts for Accelerating Iterative Solvers
  157. Wireless Video Semantic Communication with Decoupled Diffusion Multi-frame Compensation
  158. MVAFormer: RGB-based Multi-View Spatio-Temporal Action Recognition with Transformer
  159. HAGI++: Head-Assisted Gaze Imputation and Generation
  160. KAO: Kernel-Adaptive Optimization in Diffusion for Satellite Image
  161. SKGE: Spherical Knowledge Graph Embedding with Geometric Regularization
  162. Prompting for Policy: Forecasting Macroeconomic Scenarios with Synthetic LLM Personas
  163. Accounting for Underspecification in Statistical Claims of Model Superiority
  164. An Adaptive Sampling Framework for Detecting Localized Concept Drift under Label Scarcity
  165. Efficient Solvers for SLOPE in R, Python, Julia, and C++
  166. A Kullback-Leibler divergence method for input-system-state identification
  167. CropCraft: A Procedural World Generator for Robotic Simulation of Agricultural Tasks
  168. A New Perspective on Precision and Recall for Generative Models
  169. Arithmetic Circuits and Neural Networks for Regular Matroids
  170. Purrturbed but Stable: Human-Cat Invariant Representations Across CNNs, ViTs and Self-Supervised ViTs
  171. Generalization in Representation Models via Random Matrix Theory: Application to Recurrent Networks
  172. MammoClean: Toward Reproducible and Bias-Aware AI in Mammography through Dataset Harmonization
  173. A Spatially Informed Gaussian Process UCB Method for Decentralized Coverage Control
  174. A Novel Grouping-Based Hybrid Color Correction Algorithm for Color Point Clouds
  175. Self-Supervised Moving Object Segmentation of Sparse and Noisy Radar Point Clouds
  176. Fuzzy Soft Set Theory based Expert System for the Risk Assessment in Breast Cancer Patients
  177. RxnCaption: Reformulating Reaction Diagram Parsing as Visual Prompt Guided Captioning
  178. H-Infinity Filter Enhanced CNN-LSTM for Arrhythmia Detection from Heart Sound Recordings
  179. AyurParam: A State-of-the-Art Bilingual Language Model for Ayurveda
  180. A new class of Markov random fields enabling lightweight sampling
  181. AI Credibility Signals Outrank Institutions and Engagement in Shaping News Perception on Social Media
  182. LiveSecBench: A Dynamic and Event-Driven Safety Benchmark for Chinese Language Model Applications
  183. Let Multimodal Embedders Learn When to Augment Query via Adaptive Query Augmentation
  184. Evolving Graph Learning for Out-of-Distribution Generalization in Non-stationary Environments
  185. Human-Machine Ritual: Synergic Performance through Real-Time Motion Recognition
  186. M3PD Dataset: Dual-view Photoplethysmography (PPG) Using Front-and-rear Cameras of Smartphones in Lab and Clinical Settings
  187. Reducing normalizing flow complexity for MCMC preconditioning
  188. Chronic Kidney Disease Prognosis Prediction Using Transformer
  189. Learning A Universal Crime Predictor with Knowledge-guided Hypernetworks
  190. GAFD-CC: Global-Aware Feature Decoupling with Confidence Calibration for OOD Detection
  191. Biological Regulatory Network Inference through Circular Causal Structure Learning
  192. Cycle-Sync: Robust Global Camera Pose Estimation through Enhanced Cycle-Consistent Synchronization
  193. Large-scale automatic carbon ion treatment planning for head and neck cancers via parallel multi-agent reinforcement learning
  194. A Stable Lasso
  195. Automata-Conditioned Cooperative Multi-Agent Reinforcement Learning
  196. Federated Quantum Kernel Learning for Anomaly Detection in Multivariate IoT Time-Series
  197. 3D Point Cloud Object Detection on Edge Devices for Split Computing
  198. From data to design: Random forest regression model for predicting mechanical properties of alloy steel
  199. Link prediction Graph Neural Networks for structure recognition of Handwritten Mathematical Expressions
  200. Are Euler angles a useful rotation parameterisation for pose estimation with Normalizing Flows?
  201. Gradient-Variation Online Adaptivity for Accelerated Optimization with H"older Smoothness
  202. Beyond Spectral Clustering: Probabilistic Cuts for Differentiable Graph Partitioning
  203. Medical Report Generation: A Hierarchical Task Structure-Based Cross-Modal Causal Intervention Framework
  204. LA-MARRVEL: A Knowledge-Grounded, Language-Aware LLM Framework for Clinically Robust Rare Disease Gene Prioritization
  205. Limit Theorems for Stochastic Gradient Descent in High-Dimensional Single-Layer Networks
  206. Fast Approximation Algorithm for Non-Monotone DR-submodular Maximization under Size Constraint
  207. Monocular absolute depth estimation from endoscopy via domain-invariant feature learning and latent consistency
  208. Demo: Statistically Significant Results On Biases and Errors of LLMs Do Not Guarantee Generalizable Results
  209. Neural network initialization with nonlinear characteristics and information on hierarchical features
  210. Structural Plasticity as Active Inference: A Biologically-Inspired Architecture for Homeostatic Control
  211. Collaborative Attention and Consistent-Guided Fusion of MRI and PET for Alzheimer's Disease Diagnosis
  212. Can Foundation Models Revolutionize Mobile AR Sparse Sensing?
  213. IG-Pruning: Input-Guided Block Pruning for Large Language Models
  214. High-Resolution Magnetic Particle Imaging System Matrix Recovery Using a Vision Transformer with Residual Feature Network
  215. Estimation of Segmental Longitudinal Strain in Transesophageal Echocardiography by Deep Learning
  216. Object-Centric 3D Gaussian Splatting for Strawberry Plant Reconstruction and Phenotyping
  217. Language-Enhanced Generative Modeling for Amyloid PET Synthesis from MRI and Blood Biomarkers
  218. OmniField: Conditioned Neural Fields for Robust Multimodal Spatiotemporal Learning
  219. BoolSkeleton: Boolean Network Skeletonization via Homogeneous Pattern Reduction
  220. PrivGNN: High-Performance Secure Inference for Cryptographic Graph Neural Networks
  221. Autobiasing Event Cameras for Flickering Mitigation
  222. Tackling Incomplete Data in Air Quality Prediction: A Bayesian Deep Learning Framework for Uncertainty Quantification
  223. Eliminating Multi-GPU Performance Taxes: A Systems Approach to Efficient Distributed LLMs
  224. ScenicProver: A Framework for Compositional Probabilistic Verification of Learning-Enabled Systems
  225. Near Optimal Convergence to Coarse Correlated Equilibrium in General-Sum Markov Games
  226. ProtoTSNet: Interpretable Multivariate Time Series Classification With Prototypical Parts
  227. CFL: On the Use of Characteristic Function Loss for Domain Alignment in Machine Learning
  228. Disentangling Causal Substructures for Interpretable and Generalizable Drug Synergy Prediction
  229. Fast Measuring Pavement Crack Width by Cascading Principal Component Analysis
  230. From Instance Segmentation to 3D Growth Trajectory Reconstruction in Planktonic Foraminifera
  231. QuPCG: Quantum Convolutional Neural Network for Detecting Abnormal Patterns in PCG Signals
  232. DoFlow: Flow-based Generative Models for Interventional and Counterfactual Forecasting on Time Series