mlsanityData to 14 Oct 2026

Papers

New on arXiv

Tue 9 Sep 2025

271 papers

  1. Explicit Reasoning Makes Better Judges: A Systematic Study on Accuracy, Efficiency, and RobustnessLLM reasoning → Reasoning benchmarks and evaluation +1
  2. InJecteD: Analyzing Trajectories and Drift Dynamics in Denoising Diffusion Probabilistic Models for 2D Point Cloud GenerationDiffusion models → 3D, point cloud and scene generation
  3. SurgLaVi: Large-Scale Hierarchical Dataset for Surgical Vision-Language Representation LearningMultimodal LLMs / vision-language models → Medical vision-language models
  4. Auditable Early Stopping for Agentic Routing: Ledger-Verified Run-Wise Certificates under Local DPLLM agents and tool use → Agent threats, guardrails and governance
  5. Decentralising LLM Alignment: A Case for Context, Pluralism, and ParticipationLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
  6. Quadrotor Navigation using Reinforcement Learning with Privileged InformationDeep reinforcement learning methods → RL for robot navigation and UAV control
  7. Trust Semantics Distillation for Collaborator Selection via Memory-Augmented Agentic AILLM agents and tool use → Agent threats, guardrails and governance
  8. SCA-LLM: Spectral-Attentive LLM-Based Wireless World Modeling for Agentic CommunicationsWorld models → World models for language agents +1
  9. Attribute-based Object Grounding and Robot Grasp Detection with Spatial ReasoningLLM reasoning → Spatial and embodied reasoning
  10. MERLIN: Multi-Stage Curriculum Alignment for Multilingual Encoder-LLM Integration in Cross-Lingual ReasoningLLM reasoning → Reasoning benchmarks and evaluation
  11. EnvX: Agentize Everything with Agentic AILLM agents and tool use → Software engineering coding agents
  12. SciGPT: A Large Language Model for Scientific Literature Understanding and Knowledge DiscoveryMixture-of-experts → MoE large language models
  13. DiverValue-Bench: A Benchmark and Fine-Tuning Framework for Aligning Large Language Models with Diverse Human ValuesLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
  14. Parallel-R1: Towards Parallel Thinking via Reinforcement LearningLLM reasoning → Test-time compute and efficient thinking +1
  15. Visual Representation Alignment for Multimodal Large Language ModelsLLM reasoning → Multimodal reasoning +1
  16. Mini-o3: Scaling Up Reasoning Patterns and Interaction Turns for Visual SearchMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
  17. Visual-TableQA: Open-Domain Benchmark for Reasoning over Table ImagesLLM reasoning → Knowledge- and tool-augmented reasoning +1
  18. TA-VLA: Elucidating the Design Space of Torque-aware Vision-Language-Action ModelsVision-language-action models → Tactile, force-aware and humanoid VLA
  19. Probing the Preferences of a Language Model: Integrating Verbal and Behavioral Tests of AI WelfareLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
  20. Graph-Fused Vision-Language-Action for Policy Reasoning in Multi-Arm Robotic ManipulationVision-language-action models → 3D and spatial-aware VLA
  21. One Model for All Tasks: Leveraging Efficient World Models in Multi-Task PlanningWorld models → Latent predictive world models +1
  22. ImportSnare: Directed "Code Manual" Hijacking in Retrieval-Augmented Code GenerationRetrieval-augmented generation → Privacy and security of RAG
  23. Guided Reasoning in LLM-Driven Penetration Testing Using Structured Attack TreesLLM reasoning → Reasoning for agents, planning and code +1
  24. Feature Space Analysis by Guided Diffusion ModelDiffusion models → Diffusion foundations and sampling
  25. Accelerating Local AI on Consumer GPUs: A Hardware-Aware Dynamic Strategy for YOLOv10sEfficient LLM inference and serving → Serving systems and request scheduling
  26. ScoreHOI: Physically Plausible Reconstruction of Human-Object Interaction via Score-Guided DiffusionDiffusion models → Video generation
  27. Active Membership Inference Test (aMINT): Enhancing Model Auditability with Multi-Task LearningLLM safety and security → Membership inference attacks
  28. Tracing and Mitigating Hallucinations in Multimodal LLMs via Dynamic Attention LocalizationMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs
  29. SCoder: Iterative Self-Distillation for Bootstrapping Small-Scale Data Synthesizers to Empower Code LLMsSynthetic data and self-improvement for LLMs → Code and instruction data synthesis +1
  30. Enhancements in Score-based Channel Estimation for Real-Time Wireless SystemsDiffusion models → Diffusion for compression and wireless
  31. Certainty-Guided Reasoning in Large Language Models: A Dynamic Thinking Budget ApproachLLM reasoning → Test-time compute and efficient thinking
  32. Dual Knowledge-Enhanced Two-Stage Reasoner for Multimodal Dialog SystemsLLM reasoning → Reasoning benchmarks and evaluation
  33. Are LLMs Enough for Hyperpartisan, Fake, Polarized and Harmful Content Detection? Evaluating In-Context Learning vs. Fine-TuningLLM safety and security → Safety alignment, refusal and guardrails
  34. AgentSentinel: An End-to-End and Real-Time Security Defense Framework for Computer-Use AgentsLLM agents and tool use → Agent threats, guardrails and governance
  35. Factuality Beyond Coherence: Evaluating LLM Watermarking Methods for Medical TextsLLM safety and security → Watermarking generated content and models
  36. MoE-Compression: How the Compression Error of Experts Affects the Inference Accuracy of MoE Model?LLM reasoning → Test-time compute and efficient thinking +1
  37. RIMO: An Easy-to-Evaluate, Hard-to-Solve Olympiad Benchmark for Advanced Mathematical ReasoningLLM reasoning → Mathematical reasoning
  38. Fault Tolerant Control of a Quadcopter using Reinforcement LearningDeep reinforcement learning methods → RL for robot navigation and UAV control
  39. FHIR-RAG-MEDS: Integrating HL7 FHIR with Retrieval-Augmented Large Language Models for Enhanced Medical Decision SupportRetrieval-augmented generation → Medical and biomedical RAG
  40. CAViAR: Critic-Augmented Video Agentic ReasoningLLM reasoning → Multimodal reasoning +1
  41. DeepGraphLog for Layered Neurosymbolic AILLM reasoning → Reasoning benchmarks and evaluation
  42. Semantic Watermarking Reinvented: Enhancing Robustness and Generation Quality with Fourier IntegrityDiffusion models → Robustness, privacy and adversarial aspects +1
  43. Getting In Contract with Large Language Models -- An Agency Theory Perspective On Large Language Model AlignmentLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
  44. Towards End-to-End Model-Agnostic Explanations for RAG SystemsRetrieval-augmented generation → RAG pipeline design and evaluation
  45. Transferable Direct Prompt Injection via Activation-Guided MCMC SamplingLLM safety and security → Prompt injection and agent security
  46. From Classical Data to Quantum Advantage -- Quantum Policy Evaluation on Quantum HardwareDeep reinforcement learning methods → Quantum reinforcement learning
  47. Data-Efficient Fine-Tuning of Vision-Language Models for Diagnosis of Alzheimer's DiseaseMultimodal LLMs / vision-language models → Medical vision-language models
  48. K2-Think: A Parameter-Efficient Reasoning SystemLLM reasoning → Test-time compute and efficient thinking
  49. Bias in Gender Bias Benchmarks: How Spurious Features Distort EvaluationMultimodal LLMs / vision-language models → Social bias and fairness in VLMs
  50. Vision-Proprioception Fusion with Mamba2 in End-to-End Reinforcement Learning for Motion ControlState-space sequence models (S4, Mamba) → Video, motion and generative Mamba models +1
  51. Towards Generalized Routing: Model and Agent Orchestration for Adaptive and Efficient InferenceLLM agents and tool use → General LLM agent frameworks and benchmarks
  52. VL Norm: Rethink Loss Aggregation in RLVRLLM reasoning → Reinforcement learning for reasoning
  53. Avoiding Knowledge Edit Skipping in Multi-hop Question Answering with Guided DecompositionRetrieval-augmented generation → Knowledge-graph and structured-knowledge RAG
  54. VeriOS: Query-Driven Proactive Human-Agent-GUI Interaction for Trustworthy OS AgentsLLM agents and tool use → GUI and mobile agents
  55. Universal Few-Shot Spatial Control for Diffusion ModelsDiffusion models → Image generation, text-to-image and editing
  56. Astra: A Multi-Agent System for GPU Kernel Performance OptimizationLLM agents and tool use → Software engineering coding agents
  57. Fine-Tuning Vision-Language Models for Visual Navigation AssistanceMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
  58. LINR Bridge: Vector Graphic Animation via Neural Implicits and Video Diffusion PriorsDiffusion models → Video generation
  59. ANYPORTAL: Zero-Shot Consistent Video Background ReplacementDiffusion models → Video generation
  60. Safe and Nonconservative Contingency Planning for Autonomous Vehicles via Online Learning-Based Reachable Set BarriersEnd-to-end autonomous driving → Reinforcement learning for driving
  61. DepthVision: Enabling Robust Vision-Language Models with GAN-Based LiDAR-to-RGB Synthesis for Autonomous DrivingMultimodal LLMs / vision-language models → Driving VLMs and open-vocabulary detection +1
  62. Bias-Aware Machine Unlearning: Towards Fairer Vision Models via Controllable ForgettingLLM safety and security → Machine unlearning
  63. In the Eye of MLLM: Benchmarking Egocentric Video Intent Understanding with Gaze-Guided PromptingMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
  64. DreamLifting: A Plug-in Module Lifting MV Diffusion Models for 3D Asset GenerationDiffusion models → 3D, point cloud and scene generation
  65. Feed-O-Meter: Investigating AI-Generated Mentee Personas as Interactive Agents for Scaffolding Design Feedback PracticeLLM agents and tool use → Educational agents and math problem solving
  66. Language Self-Play For Data-Free TrainingSynthetic data and self-improvement for LLMs → Self-play RL for reasoning
  67. Reinforcement learning for adaptive interior point methods in convex quadratic programmingDeep reinforcement learning methods → RL for games and combinatorial optimization
  68. The Role of Exploration Modules in Small Language Models for Knowledge Graph Question AnsweringLLM reasoning → Knowledge- and tool-augmented reasoning
  69. Talking with Oompa Loompas: A novel framework for evaluating linguistic acquisition of LLM agentsLLM agents and tool use → General LLM agent frameworks and benchmarks
  70. DuoServe-MoE: Dual-Phase Expert Prefetch and Caching for LLM Inference QoS AssuranceMixture-of-experts → Efficient MoE training and inference systems
  71. Autonomous Code Evolution Meets NP-CompletenessLLM agents and tool use → Software engineering coding agents
  72. Performative Thinking? The Brittle Correlation Between CoT Length and Problem ComplexityLLM reasoning → Test-time compute and efficient thinking
  73. DEPFusion: Dual-Domain Enhancement and Priority-Guided Mamba Fusion for UAV Multispectral Object DetectionState-space sequence models (S4, Mamba) → Point clouds, detection and remote sensing
  74. From Coordination to Personalization: A Trust-Aware Simulation Framework for Emergency Department Decision Support
  75. BREATH: A Bio-Radar Embodied Agent for Tonal and Human-Aware Diffusion Music Generation
  76. Accelerating Frontier MoE Training with 3D Integrated Optics
  77. Automated Item Neutralization for Non-Cognitive Scales: A Large Language Model Approach to Reducing Social-Desirability Bias
  78. STL-FFT-STFT-TCN-LSTM: An Effective Wave Height High Accuracy Prediction Model Fusing Time-Frequency Domain Features
  79. E2E Learning Massive MIMO for Multimodal Semantic Non-Orthogonal Transmission and Fusion
  80. A Study of Skews, Imbalances, and Pathological Conditions in LLM Inference Deployment on GPU Clusters detectable from DPU
  81. Dynamic Prompt Fusion for Multi-Task and Cross-Domain Adaptation in LLMs
  82. Large language models surpass domain-specific architectures for antepartum electronic fetal monitoring analysis
  83. Prompt Optimization Meets Subspace Representation Learning for Few-shot Out-of-Distribution Detection
  84. Localized PCA-Net Neural Operators for Scalable Solution Reconstruction of Elliptic PDEs
  85. Machine Learning-Based Classification of Vessel Types in Straits Using AIS Tracks
  86. Solve it with EASE
  87. AdaMixT: Adaptive Weighted Mixture of Multi-Scale Expert Transformers for Time Series Forecasting
  88. Model-Based Transfer Learning for Real-Time Damage Assessment of Bridge Networks
  89. BULL-ODE: Bullwhip Learning with Neural ODEs and Universal Differential Equations under Stochastic Demand
  90. Data Valuation and Selection in a Federated Model Marketplace
  91. Machine Learnability as a Measure of Order in Aperiodic Sequences
  92. Explainable AI-Enhanced Supervisory Control for High-Precision Spacecraft Formation
  93. Interpretable Data Mining of Follicular Thyroid Cancer Ultrasound Features Using Enhanced Association Rules
  94. Neural Diffeomorphic-Neural Operator for Residual Stress-Induced Deformation Prediction
  95. HiLWS: A Human-in-the-Loop Weak Supervision Framework for Curating Clinical and Home Video Data for Neurological Assessment
  96. MAE-SAM2: Mask Autoencoder-Enhanced SAM2 for Clinical Retinal Vascular Leakage Segmentation
  97. Trial-Level Time-frequency EEG Desynchronization as a Neural Marker of Pain
  98. Australian Supermarket Object Set (ASOS): A Benchmark Dataset of Physical Objects and 3D Models for Robotics and Computer Vision
  99. Spectral Bottleneck in Sinusoidal Representation Networks: Noise is All You Need
  100. Testing chatbots on the creation of encoders for audio conditioned image generation
All 271
  1. VStyle: A Benchmark for Voice Style Adaptation with Spoken Instructions
  2. Investigating Symbolic Triggers of Hallucination in Gemma Models Across HaluEval and TruthfulQA
  3. Multi Robot Coordination in Highly Dynamic Environments: Tackling Asymmetric Obstacles and Limited Communication
  4. A vibe coding learning design to enhance EFL students' talking to, through, and about AI
  5. Sketched Gaussian Mechanism for Private Federated Learning
  6. Prescribe-then-Select: Adaptive Policy Selection for Contextual Stochastic Optimization
  7. Lifetime-Aware Design for Item-Level Intelligence at the Extreme Edge
  8. Rollout-LaSDI: Enhancing the long-term accuracy of Latent Space Dynamics
  9. ArtifactGen: Benchmarking WGAN-GP vs Diffusion for Label-Aware EEG Artifact Synthesis
  10. Selective Induction Heads: How Transformers Select Causal Structures In Context
  11. XML Prompting as Grammar-Constrained Interaction: Fixed-Point Semantics, Convergence Guarantees, and Human-AI Protocols
  12. Multi-Label Transfer Learning in Non-Stationary Data Streams
  13. The Domain Mixed Unit: A New Neural Arithmetic Layer
  14. MARLINE: Multi-Source Mapping Transfer Learning for Non-Stationary Environments
  15. RAPID Quantum Detection and Demodulation of Covert Communications: Breaking the Noise Limit with Solid-State Spin Sensors
  16. OCTANE -- Optimal Control for Tensor-based Autoencoder Network Emergence: Explicit Case
  17. Machine Learning with Multitype Protected Attributes: Intersectional Fairness through Regularisation
  18. Diffusion-Guided Multi-Arm Motion Planning
  19. Zero-Shot Metric Depth Estimation via Monocular Visual-Inertial Rescaling for Autonomous Aerial Navigation
  20. Risk-Bounded Multi-Agent Visual Navigation via Iterative Risk Allocation
  21. MMM-fair: An Interactive Toolkit for Exploring and Operationalizing Multi-Fairness Trade-offs
  22. Contributions to Robust and Efficient Methods for Analysis of High Dimensional Data
  23. Verbalized Algorithms: Classical Algorithms are All You Need (Mostly)
  24. Bias after Prompting: Persistent Discrimination in Large Language Models
  25. From Limited Data to Rare-event Prediction: LLM-powered Feature Engineering and Multi-model Learning in Venture Capital
  26. torchmil: A PyTorch-based library for deep Multiple Instance Learning
  27. In-Context Learning Enhanced Credibility Transformer
  28. Optimization Methods and Software for Federated Learning
  29. Domain Knowledge is Power: Leveraging Physiological Priors for Self Supervised Representation Learning in Electrocardiography
  30. APML: Adaptive Probabilistic Matching Loss for Robust 3D Point Cloud Reconstruction
  31. Real-Time Obstacle Avoidance for a Mobile Robot Using CNN-Based Sensor Fusion
  32. Evolution and compression in LLMs: On the emergence of human-aligned categorization
  33. Hammer and Anvil: Toward a Theory of Backdoors in Federated Learning
  34. Performance Assessment Strategies for Language Model Applications in Healthcare
  35. JEL: A Novel Model Linking Knowledge Graph entities to News Mentions
  36. No for Some, Yes for Others: Persona Prompts and Other Sources of False Refusal in Language Models
  37. How Far Are We from True Unlearnability?
  38. Forecasting Generative Amplification
  39. AU-Harness: An Open-Source Toolkit for Holistic Evaluation of Audio LLMs
  40. MCTED: A Machine-Learning-Ready Dataset for Digital Elevation Model Generation From Mars Imagery
  41. Two-Stage Swarm Intelligence Ensemble Deep Transfer Learning (SI-EDTL) for Vehicle Detection Using Unmanned Aerial Vehicles
  42. NOWJ@COLIEE 2025: A Multi-stage Framework Integrating Embedding Models and Large Language Models for Legal Retrieval and Entailment
  43. Two Stage Context Learning with Large Language Models for Multimodal Stance Detection on Climate Change
  44. Enhancing Privacy Preservation and Reducing Analysis Time with Federated Transfer Learning in Digital Twins-based Computed Tomography Scan Analysis
  45. Video Parallel Scaling: Aggregating Diverse Frame Subsets for VideoLLMs
  46. One View, Many Worlds: Single-Image to 3D Object Meets Generative Domain Randomization for One-Shot 6D Pose Estimation
  47. Theoretical Analysis on how Learning Rate Warmup Accelerates Convergence
  48. SimpleQA Verified: A Reliable Factuality Benchmark to Measure Parametric Knowledge
  49. Customizing the Inductive Biases of Softmax Attention using Structured Matrices
  50. ACE and Diverse Generalization via Selective Disagreement
  51. RaC: Robot Learning for Long-Horizon Tasks by Scaling Recovery and Correction
  52. Bringing Multi-Modal Multi-Task Federated Foundation Models to Education Domain: Prospects and Challenges
  53. Breaking Android with AI: A Deep Dive into LLM-Powered Exploitation
  54. Dynamic Scene 3D Reconstruction of an Uncooperative Resident Space Object
  55. Smart Fast Finish: Preventing Overdelivery via Daily Budget Pacing at DoorDash
  56. GENUINE: Graph Enhanced Multi-level Uncertainty Estimation for Large Language Models
  57. Multimodal Contrastive Pretraining of CBCT and IOS for Enhanced Tooth Segmentation
  58. Object-level Correlation for Few-Shot Segmentation
  59. Uncovering Scaling Laws for Large Language Models via Inverse Problems
  60. Biased Tales: Cultural and Topic Bias in Generating Children's Stories
  61. Bio-KGvec2go: Serving up-to-date Dynamic Biomedical Knowledge Graph Embeddings
  62. A Modular Algorithm for Non-Stationary Online Convex-Concave Optimization
  63. Feasibility of In-Ear Single-Channel ExG for Wearable Sleep Monitoring in Real-World Settings
  64. HiPhO: How Far Are (M)LLMs from Humans in the Latest High School Physics Olympiad Benchmark?
  65. Expected Signature Kernels for Rough Paths
  66. From Detection to Mitigation: Addressing Gender Bias in Chinese Texts via Efficient Tuning and Voting-Based Rebalancing
  67. A Survey of Graph Neural Networks for Drug Discovery: Recent Developments and Challenges
  68. Leveraging Support Vector Regression, Radiomics and Dosiomics for Outcome Prediction in Personalized Ultra-fractionated Stereotactic Adaptive Radiotherapy (PULSAR)
  69. Are Humans as Brittle as Large Language Models?
  70. CP-Model-Zoo: A Natural Language Query System for Constraint Programming Models
  71. Deep Learning-Based Burned Area Mapping Using Bi-Temporal Siamese Networks and AlphaEarth Foundation Datasets
  72. Addressing the Cold-Start Problem for Personalized Combination Drug Screening
  73. Aligning LLMs for the Classroom with Knowledge-Based Retrieval -- A Comparative RAG Study
  74. Predicting person-level injury severity using crash narratives: A balanced approach with roadway classification and natural language process techniques
  75. Building Large-Scale English-Romanian Literary Translation Resources with Open Models
  76. Point Linguist Model: Segment Any Object via Bridged Large 3D-Language Model
  77. Forecasting Russian Equipment Losses Using Time Series and Deep Learning Models
  78. SplatFill: 3D Scene Inpainting via Depth-Guided Gaussian Splatting
  79. Feature Understanding and Sparsity Enhancement via 2-Layered kernel machines (2L-FUSE)
  80. SciNLP: A Domain-Specific Benchmark for Full-Text Scientific Entity and Relation Extraction in NLP
  81. Faster, Self-Supervised Super-Resolution for Anisotropic Multi-View MRI Using a Sparse Coordinate Loss
  82. Enhanced SegNet with Integrated Grad-CAM for Interpretable Retinal Layer Segmentation in OCT Images
  83. Individual utilities of life satisfaction reveal inequality aversion unrelated to political alignment
  84. Nuclear Data Adjustment for Nonlinear Applications in the OECD/NEA WPNCS SG14 Benchmark -- A Bayesian Inverse UQ-based Approach for Data Assimilation
  85. RayGaussX: Accelerating Gaussian-Based Ray Marching for Real-Time and High-Quality Novel View Synthesis
  86. Decentralized Online Riemannian Optimization Beyond Hadamard Manifolds
  87. HairGS: Hair Strand Reconstruction based on 3D Gaussian Splatting
  88. Quantum Computing for Large-scale Network Optimization: Opportunities and Challenges
  89. XSRD-Net: EXplainable Stroke Relapse Detection
  90. Toward Quantum Utility in Finance: A Robust Data-Driven Algorithm for Asset Clustering
  91. What Were You Thinking? An LLM-Driven Large-Scale Study of Refactoring Motivations in Open-Source Projects
  92. Spectral and Rhythm Feature Performance Evaluation for Category and Class Level Audio Classification with Deep Convolutional Neural Networks
  93. Enhancing Online Learning by Integrating Biosensors and Multimodal Learning Analytics for Detecting and Predicting Student Behavior: A Review
  94. The Carbon Footprint Wizard: A Knowledge-Augmented AI Interface for Streamlining Food Carbon Footprint Analysis
  95. M-BRe: Discovering Training Samples for Relation Extraction from Unlabeled Texts with Large Language Models
  96. IBN: An Interpretable Bidirectional-Modeling Network for Multivariate Time Series Forecasting with Variable Missing
  97. BDPM: A Machine Learning-Based Feature Extractor for Parkinson's Disease Classification via Gut Microbiota Analysis
  98. SEEC: Segmentation-Assisted Multi-Entropy Models for Learned Lossless Image Compression
  99. Building causation links in stochastic nonlinear systems from data
  100. Understanding Ice Crystal Habit Diversity with Self-Supervised Learning
  101. Physics-informed low-rank neural operators with application to parametric elliptic PDEs
  102. FUnc-SNE: A flexible, Fast, and Unconstrained algorithm for neighbour embeddings
  103. Spectral Masking and Interpolation Attack (SMIA): A Black-box Adversarial Attack against Voice Authentication and Anti-Spoofing Systems
  104. Unleashing the True Potential of LLMs: A Feedback-Triggered Self-Correction with Long-Term Multipath Decoding
  105. Nearest Neighbor Projection Removal Adversarial Training
  106. EDFFDNet: Towards Accurate and Efficient Unsupervised Multi-Grid Image Registration
  107. Beyond Motion Cues and Structural Sparsity: Revisiting Small Moving Target Detection
  108. Graph-based Integrated Gradients for Explaining Graph Neural Networks
  109. Neural Proxies for Sound Synthesizers: Learning Perceptually Informed Preset Representations
  110. Variational Quantum Circuits in Offline Contextual Bandit Problems
  111. Self-Supervised Cross-Encoder for Neurodegenerative Disease Diagnosis
  112. MaLei at MultiClinSUM: Summarisation of Clinical Documents using Perspective-Aware Iterative Self-Prompting with LLMs
  113. Beyond Rebalancing: Benchmarking Binary Classifiers Under Class Imbalance Without Rebalancing Techniques
  114. Transformer-Based Approach to Optimal Sensor Placement for Structural Health Monitoring of Probe Cards
  115. Temporal Image Forensics: A Review and Critical Evaluation
  116. BALI: Enhancing Biomedical Language Representations through Knowledge Graph and Language Model Alignment
  117. Exploring System Adaptations For Minimum Latency Real-Time Piano Transcription
  118. Attention Maps in 3D Shape Classification for Dental Stage Estimation with Class Node Graph Attention Networks
  119. Homogenization with Guaranteed Bounds via Primal-Dual Physically Informed Neural Networks
  120. Towards explainable decision support using hybrid neural models for logistic terminal automation
  121. uGMM-NN: Univariate Gaussian Mixture Model Neural Network
  122. PanoLAM: Large Avatar Model for Gaussian Full-Head Synthesis from One-shot Unposed Image
  123. Asynchronous Gossip Algorithms for Rank-Based Statistical Methods
  124. TextlessRAG: End-to-End Visual Document RAG by Speech Without Text
  125. HU-based Foreground Masking for 3D Medical Masked Image Modeling
  126. FLeW: Facet-Level and Adaptive Weighted Representation Learning of Scientific Documents
  127. Competitive Audio-Language Models with Data-Efficient Single-Stage Training on Public Data
  128. EHWGesture -- A dataset for multimodal understanding of clinical gestures
  129. RoseCDL: Robust and Scalable Convolutional Dictionary Learning for Rare event and Anomaly Detection
  130. Neural Cone Radiosity for Interactive Global Illumination with Glossy Materials
  131. Water Demand Forecasting of District Metered Areas through Learned Consumer Representations
  132. ALLabel: Three-stage Active Learning for LLM-based Entity Recognition using Demonstration Retrieval
  133. MVAT: Multi-View Aware Teacher for Weakly Supervised 3D Object Detection
  134. Bayesian Pliable Lasso with Horseshoe Prior for Interaction Effects in GLMs with Missing Responses
  135. Conv4Rec: A 1-by-1 Convolutional AutoEncoder for User Profiling through Joint Analysis of Implicit and Explicit Feedbacks
  136. Generating Transferrable Adversarial Examples via Local Mixing and Logits Optimization for Remote Sensing Object Recognition
  137. Accurate and Complete Surface Reconstruction from 3D Gaussians via Direct SDF Learning
  138. RINO: Renormalization Group Invariance with No Labels
  139. MedicalPatchNet: A Patch-Based Self-Explainable AI Architecture for Chest X-ray Classification
  140. HALT-RAG: A Task-Adaptable Framework for Hallucination Detection with Calibrated NLI Ensembles and Abstention
  141. SheetDesigner: MLLM-Powered Spreadsheet Layout Generation with Rule-Based and Vision-Based Reflection
  142. From Scarcity to Efficiency: Investigating the Effects of Data Augmentation on African Machine Translation
  143. Understanding Stigmatizing Language Lexicons: A Comparative Analysis in Clinical Contexts
  144. AIxcellent Vibes at GermEval 2025 Shared Task on Candy Speech Detection: Improving Model Performance by Span-Level Training
  145. XOCT: Enhancing OCT to OCTA Translation via Cross-Dimensional Supervised Multi-Scale Feature Learning
  146. Synthetic Data Generation with Lorenzetti for Time Series Anomaly Detection in High-Energy Physics Calorimeters
  147. GLEAM: Learning to Match and Explain in Cross-View Geo-Localization
  148. Text2Touch: Tactile In-Hand Manipulation with LLM-Designed Reward Functions
  149. The Choice of Divergence: A Neglected Key to Mitigating Diversity Collapse in Reinforcement Learning with Verifiable Reward
  150. Benchmarking Universal Interatomic Potentials on Zeolite Structures
  151. EMORF-II: Adaptive EM-based Outlier-Robust Filtering with Correlated Measurement Noise
  152. LongEmotion: Measuring Emotional Intelligence of Large Language Models in Long-Context Interaction
  153. A smart fridge with AI-enabled food computing
  154. Toward Lifelong-Sustainable Electronic-Photonic AI Systems via Extreme Efficiency, Reconfigurability, and Robustness
  155. Hybrid GCN-GRU Model for Anomaly Detection in Cryptocurrency Transactions
  156. EfficientNet in Digital Twin-based Cardiac Arrest Prediction and Analysis
  157. Parse Graph-Based Visual-Language Interaction for Human Pose Estimation
  158. SBS: Enhancing Parameter-Efficiency of Neural Representations for Neural Networks via Spectral Bias Suppression
  159. PersonaFuse: A Personality Activation-Driven Framework for Enhancing Human-LLM Interactions
  160. Word2Spike: Poisson Rate Coding for Associative Memories and Neuromorphic Algorithms
  161. FedTeddi: Temporal Drift and Divergence Aware Scheduling for Timely Federated Edge Learning
  162. G3CN: Gaussian Topology Refinement Gated Graph Convolutional Network for Skeleton-Based Action Recognition
  163. General Demographic Pre-trained Models for Enhancing Predictive Performance Across Diseases and Population
  164. CancerGUIDE: Cancer Guideline Understanding via Internal Disagreement Estimation
  165. Mitigating Attention Localization in Small Scale: Self-Attention Refinement via One-step Belief Propagation
  166. MEGG: Replay via Maximally Extreme GGscore in Incremental Learning for Neural Recommendation Models
  167. Does This Look Familiar to You? Knowledge Analysis via Model Internal Representations
  168. PIE: Performance Interval Estimation for Free-Form Generation Tasks
  169. Basis Vector Metric: A Method for Robust Open-Ended State Change Detection
  170. Causal Attention with Lookahead Keys
  171. Identifying Neural Signatures from fMRI using Hybrid Principal Components Regression