Papers
Fri 19 Sep 2025
376 papers
- Evaluating Hallucinations in Audio-Visual Multimodal LLMs with Spoken Queries under Diverse Acoustic ConditionsMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs
- Self-Rewarding Rubric-Based Reinforcement Learning for Open-Ended ReasoningLLM reasoning → Reinforcement learning for reasoning +1
- Sequential Token Merging: Revisiting Hidden StatesState-space sequence models (S4, Mamba) → Vision Mamba backbones +1
- Robust Object Detection for Autonomous Driving via Curriculum-Guided Group Relative Policy OptimizationLLM reasoning → Multimodal reasoning +2
- Random Direct Preference Optimization for Radiography Report GenerationLLM alignment / RLHF / preference optimisation → Medical LLM alignment
- SLM-Based Agentic AI with P-C-G: Optimized for Korean Tool UseLLM agents and tool use → Tool learning and function calling
- Pipeline Parallelism is All You Need for Optimized Early-Exit Based Self-Speculative DecodingEfficient LLM inference and serving → Speculative decoding
- MMCD: Multi-Modal Collaborative Decision-Making for Connected Autonomy with Knowledge DistillationKnowledge distillation → Multimodal distillation
- Qianfan-VL: Domain-Enhanced Universal Vision-Language ModelsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- Let's Unlearn Stereotypes Before Decision-Making: Assessing the Impact of Intrinsic Bias Mitigation on Downstream Fairness in LLMsLLM safety and security → Safety alignment, refusal and guardrails
- Implicit Behavioral Alignment of Language Agents in High-Stakes Crowd SimulationsLLM agents and tool use → Social simulation and multi-agent debate
- GPO: Learning from Critical Steps to Improve LLM ReasoningLLM reasoning → Test-time compute and efficient thinking
- KRAST: Knowledge-Augmented Robotic Action Recognition with Structured Text for Vision-Language ModelsMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- Local Mechanisms of Compositional Generalization in Conditional DiffusionDiffusion models → Diffusion foundations and sampling
- VORTEX: Aligning Task Utility and Human Preferences through LLM-Guided Reward ShapingLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
- Dynamic Objects Relocalization in Changing Environments with Flow MatchingDiffusion models → Diffusion and flow policies for robotics
- GRID: Graph-based Reasoning for Intervention and Discovery in Built EnvironmentsLLM reasoning → Causal reasoning in LLMs
- Evaluating Behavioral Alignment in Conflict Dialogue: A Multi-Dimensional Comparison of LLM Agents and HumansLLM agents and tool use → Social simulation and multi-agent debate
- CoUn: Empowering Machine Unlearning via Contrastive LearningLLM safety and security → Machine unlearning
- Evaluation of Causal Reasoning for Large Language Models in Contextualized Clinical Scenarios of Laboratory Test InterpretationLLM reasoning → Clinical and biomedical applications
- Enhancing Financial RAG with Agentic AI and Multi-HyDE: A Novel Approach to Knowledge Retrieval and Hallucination ReductionLLM agents and tool use → Financial trading and forecasting agents
- RephQA: Evaluating Readability of Large Language Models in Public Health Question AnsweringLLM reasoning → Clinical and biomedical applications
- Visual Reasoning Agent: Robust Vision Systems in Remote Sensing via Inference-Time ScalingLLM reasoning → Spatial and embodied reasoning +1
- Similarity-Guided Diffusion for Long-Gap Music InpaintingDiffusion models → Audio, speech and music
- Generalizability of Large Language Model-Based Agents: A Comprehensive SurveyLLM agents and tool use → General LLM agent frameworks and benchmarks
- Overhearing LLM Agents: A Survey, Taxonomy, and RoadmapLLM agents and tool use → General LLM agent frameworks and benchmarks
- Test-Time Learning and Inference-Time Deliberation for Efficiency-First Offline Reinforcement Learning in Care Coordination and Population Health ManagementOffline RL and imitation learning from data → Safe offline RL
- Inverting Trojans in LLMsLLM safety and security → Backdoor and data poisoning attacks
- MANZANO: A Simple and Scalable Unified Multimodal Model with a Hybrid Vision TokenizerMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- Agentic Aerial Cinematography: From Dialogue Cues to Cinematic TrajectoriesLLM agents and tool use → Multimodal and embodied agents
- Robust Vision-Language Models via Tensor Decomposition: A Defense Against Adversarial AttacksMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness
- Automated Cyber Defense with Generalizable Graph-based Reinforcement Learning AgentsDeep reinforcement learning methods → Adversarial robustness and RL in finance
- Pointing to a Llama and Call it a Camel: On the Sycophancy of Multimodal Large Language ModelsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- Reward Evolution with Graph-of-Thoughts: A Bi-Level Language Model Framework for Reinforcement LearningLLM reasoning → Reinforcement learning for reasoning
- Dynamic Classifier-Free Diffusion Guidance via Online FeedbackDiffusion models → Diffusion foundations and sampling +1
- BaseReward: A Strong Baseline for Multimodal Reward ModelMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning +1
- DiffusionNFT: Online Diffusion Reinforcement with Forward ProcessDiffusion models → Diffusion and flow policies for robotics
- CodeRAG: Finding Relevant and Necessary Knowledge for Retrieval-Augmented Repository-Level Code CompletionRetrieval-augmented generation → RAG for code
- PRISM: Probabilistic and Robust Inverse Solver with Measurement-Conditioned Diffusion Prior for Blind Inverse ProblemsDiffusion models → Inverse problems and image restoration
- DiEP: Adaptive Mixture-of-Experts Compression through Differentiable Expert PruningMixture-of-experts → MoE large language models
- Blind-Spot Guided Diffusion for Self-supervised Real-World DenoisingDiffusion models → Diffusion foundations and sampling
- Randomized Smoothing Meets Vision-Language ModelsMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness
- See&Trek: Training-Free Spatial Prompting for Multimodal Large Language ModelMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- I-FailSense: Towards General Robotic Failure Detection with Vision-Language ModelsMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- Generating Detailed Character Motion from Blocking PosesDiffusion models → Video generation
- Latent Conditioned Loco-Manipulation Using Motion PriorsDeep reinforcement learning methods → RL for robot locomotion and manipulation
- SABER: Uncovering Vulnerabilities in Safety Alignment via Cross-Layer Residual ConnectionLLM alignment / RLHF / preference optimisation → Safety alignment and jailbreak attacks +1
- Language-Instructed Reasoning for Group Activity Detection via Multimodal Large Language ModelLLM reasoning → Multimodal reasoning +1
- Think, Verbalize, then Speak: Bridging Complex Thoughts and Comprehensible SpeechLLM reasoning → Audio-language model reasoning
- DistillMatch: Leveraging Knowledge Distillation from Vision Foundation Model for Multimodal Image MatchingKnowledge distillation → Multimodal distillation
- Defining and Monitoring Complex Robot Activities via LLMs and Symbolic ReasoningLLM reasoning → Spatial and embodied reasoning
- Scalable Quantum Reinforcement Learning on NISQ Devices with Dynamic-Circuit Qubit Reuse and Grover OptimizationDeep reinforcement learning methods → Quantum reinforcement learning
- Uncertainty-Based Smooth Policy Regularisation for Reinforcement Learning with Few DemonstrationsDeep reinforcement learning methods → RL for robot locomotion and manipulation
- CoReVLA: A Dual-Stage End-to-End Autonomous Driving Framework for Long-Tail Scenarios via Collect-and-RefineEnd-to-end autonomous driving → Reasoning VLA and VLM driving policies
- RLinf: Flexible and Efficient Large-scale Reinforcement Learning via Macro-to-Micro Flow TransformationLLM agents and tool use → Reinforcement learning for LLM agents +1
- MoE-CE: Enhancing Generalization for Deep Learning based Channel Estimation via a Mixture-of-Experts FrameworkMixture-of-experts → Expert routing strategies
- Compose Yourself: Average-Velocity Flow Matching for One-Step Speech EnhancementDiffusion models → Audio, speech and music
- ArchesClimate: Probabilistic Decadal Ensemble Generation With Flow MatchingDiffusion models → Flow matching, time series and science
- A Vision-Language-Action-Critic Model for Robotic Real-World Reinforcement LearningVision-language-action models → Reinforcement learning and post-training +1
- DISPATCH: Distilling Selective Patches for Speech EnhancementKnowledge distillation → Speech and audio distillation
- Foundation Models as World Models: A Foundational Study in Text-Based GridWorldsWorld models → World models for language agents
- Distribution-Aligned Decoding for Efficient LLM Task AdaptationMechanistic interpretability → Activation steering methods
- RACap: Relation-Aware Prompting for Lightweight Retrieval-Augmented Image CaptioningRetrieval-augmented generation → Multimodal RAG
- Improving Robotic Manipulation with Efficient Geometry-Aware Vision EncoderLLM reasoning → Spatial and embodied reasoning +1
- SAGE: Semantic-Aware Shared Sampling for Efficient DiffusionDiffusion models → Diffusion foundations and sampling
- ToFU: Transforming How Federated Learning Systems Forget User DataLLM safety and security → Federated unlearning and poisoning
- Efficient Long-Tail Learning in Latent Space by sampling Synthetic DataSynthetic data and self-improvement for LLMs → Model collapse from synthetic data
- Multi-Physics: A Comprehensive Benchmark for Multimodal LLMs Reasoning on Chinese Multi-Subject Physics ProblemsLLM reasoning → Spatial and embodied reasoning +1
- Coordinated Multi-Drone Last-mile Delivery: Learning Strategies for Energy-aware and Timely OperationsDeep reinforcement learning methods → RL for robot navigation and UAV control
- Best-of-L: Cross-Lingual Reward Modeling for Mathematical ReasoningLLM reasoning → Reasoning benchmarks and evaluation +1
- ChronoForge-RL: Chronological Forging through Reinforcement Learning for Enhanced Video UnderstandingDeep reinforcement learning methods → RL training of language and agent models
- Vision-Language Models as Differentiable Semantic and Spatial Rewards for Text-to-3D GenerationMultimodal LLMs / vision-language models → Embodied and 3D vision-language models +1
- UniGist: Towards General and Hardware-aligned Sequence-level Long Context CompressionEfficient LLM inference and serving → KV cache optimization
- On Optimal Steering to Achieve Exact FairnessMechanistic interpretability → Probing deception, bias and beliefs
- Can LLMs Judge Debates? Evaluating Non-Linear Reasoning via Argumentation Theory SemanticsLLM reasoning → Reasoning for agents, planning and code
- GUI-ReWalk: Massive Data Generation for GUI Agent via Stochastic Exploration and Intent-Aware ReasoningLLM reasoning → Multimodal reasoning +1
- RMT-KD: Random Matrix Theoretic Causal Knowledge DistillationKnowledge distillation → General knowledge distillation methods
- Pyramid Token Pruning for High-Resolution Large Vision-Language Models via Region, Token, and Instruction-Guided ImportanceMultimodal LLMs / vision-language models → Visual token pruning and efficiency +1
- ORIC: Benchmarking Object Recognition under Contextual Incongruity in Large Vision-Language ModelsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- CCrepairBench: A High-Fidelity Benchmark and Reinforcement Learning Framework for C++ Compilation RepairDeep reinforcement learning methods → RL training of language and agent models
- SAM: A Mamba-2 State-Space Audio-Language ModelState-space sequence models (S4, Mamba) → Speech and audio SSMs
- Layout Stroke Imitation: A Layout Guided Handwriting Stroke Generation for Style Imitation with Diffusion ModelDiffusion models → Image generation, text-to-image and editing
- SightSound-R1: Cross-Modal Reasoning Distillation from Vision to Audio Language ModelsLLM reasoning → Audio-language model reasoning +2
- Nonconvex Regularization for Feature Selection in Reinforcement LearningDeep reinforcement learning methods → RL theory and sample complexity
- pFedSAM: Personalized Federated Learning of Segment Anything Model for Medical Image SegmentationMixture-of-experts → Medical and biomedical MoE +1
- MicroRCA-Agent: Microservice Root Cause Analysis Method Based on Large Language Model AgentsLLM agents and tool use → Software engineering coding agents
- Sparse-Autoencoder-Guided Internal Representation Unlearning for Large Language ModelsLLM safety and security → Machine unlearning +1
- Concept Unlearning in Large Language Models via Self-Constructed Knowledge TripletsLLM safety and security → Machine unlearning
- Enhancing WSI-Based Survival Analysis with Report-Auxiliary Self-DistillationKnowledge distillation → Distillation for medical imaging
- PRIMT: Preference-based Reinforcement Learning with Multimodal Feedback and Trajectory Synthesis from Foundation ModelsDeep reinforcement learning methods → RL training of language and agent models
- TennisTV: Do Multimodal Large Language Models Understand Tennis Rallies?Multimodal LLMs / vision-language models → Embodied and 3D vision-language models
- EyePCR: A Comprehensive Benchmark for Fine-Grained Perception, Knowledge Comprehension and Clinical Reasoning in Ophthalmic SurgeryLLM reasoning → Clinical and biomedical applications +1
- DivLogicEval: A Framework for Benchmarking Logical Reasoning Evaluation in Large Language ModelsLLM reasoning → Reasoning benchmarks and evaluation
- Momentum-constrained Hybrid Heuristic Trajectory Optimization Framework with Residual-enhanced DRL for Visually Impaired ScenariosDeep reinforcement learning methods → RL for robot navigation and UAV control
- Relevance to Utility: Process-Supervised Rewrite for RAGRetrieval-augmented generation → RAG robustness and adaptive retrieval
- Cuckoo Attack: Stealthy and Persistent Attacks Against AI-IDELLM agents and tool use → Agent threats, guardrails and governance
- LiteLong: Resource-Efficient Long-Context Data Synthesis for LLMsSynthetic data and self-improvement for LLMs → LLM synthetic data generation
- BTL-UI: Blink-Think-Link Reasoning Model for GUI AgentLLM reasoning → Multimodal reasoning +1
- DC-Mamba: Bi-temporal deformable alignment and scale-sparse enhancement for remote sensing change detectionState-space sequence models (S4, Mamba) → Point clouds, detection and remote sensing
- Reward Hacking Mitigation using Verifiable Composite RewardsLLM reasoning → Reinforcement learning for reasoning +1
All 376
- PolyJuice Makes It Real: Black-Box, Universal Red Teaming for Synthetic Image DetectorsLLM safety and security → Vision-language and text-to-image safety
- SAMPO:Scale-wise Autoregression with Motion PrOmpt for generative world modelsWorld models → Video-generation world models and simulators
- MEC-Quant: Maximum Entropy Coding for Extremely Low Bit Quantization-Aware TrainingMixture-of-experts → MoE large language models
- Bayesian Risk-Sensitive Policy Optimization For MDPs With General Loss FunctionsDeep reinforcement learning methods → RL theory and sample complexity
- Mental Accounts for Actions: EWA-Inspired Attention in Decision TransformersOffline RL and imitation learning from data → Decision transformers and sequence modeling +1
- An extended reality-based framework for user risk training in urban built environment
- Modelling the Interplay of Eye-Tracking Temporal Dynamics and Personality for Emotion Detection in Face-to-Face Settings
- GQVis: A Dataset of Genomics Data Questions and Visualizations for Generative AI
- Polynomial Contrastive Learning for Privacy-Preserving Representation Learning on Graphs
- Spectral Logit Sculpting: Adaptive Low-Rank Logit Transformation for Controlled Text Generation
- Generating High-Quality Datasets for Code Editing via Open-Source Language Models
- Deep Learning Empowered Super-Resolution: A Comprehensive Survey and Future Prospects
- A review of Recent Techniques for Person Re-Identification
- Graph-Theoretic Consistency for Robust and Topology-Aware Semi-Supervised Histopathology Segmentation
- Improving Autism Detection with Multimodal Behavioral Analysis
- CFDLLMBench: A Benchmark Suite for Evaluating Large Language Models in Computational Fluid Dynamics
- Speaker Style-Aware Phoneme Anchoring for Improved Cross-Lingual Speech Emotion Recognition
- Uncertainty-Aware Calibrated Clinical Text Classification with Large Language Models
- Short-Term Regional Electricity Demand Forecasting in Argentina Using LSTM Networks
- Representation-based Broad Hallucination Detectors Fail to Generalize Out of Distribution
- How to inject knowledge efficiently? Knowledge Infusion Scaling Law for Pre-training Large Language Models
- Meow: End-to-End Outline Writing for Automatic Academic Survey
- Low-Cost Sensor Fusion Framework for Organic Substance Classification and Quality Control Using Classification Methods
- Unsupervised Outlier Detection in Audit Analytics: A Case Study Using USA Spending Data
- MNV-17: A High-Quality Performative Mandarin Dataset for Nonverbal Vocalization Recognition in Speech
- TinyEcoWeedNet: Edge Efficient Real-Time Aerial Agricultural Weed Detection
- HazeFlow: Revisit Haze Physical Model as ODE and Non-Homogeneous Haze Generation for Real-World Dehazing
- The Iconicity of the Generated Image
- Explainable Gait Abnormality Detection Using Dual-Dataset CNN-LSTM Models
- From Coated to Uncoated: Scanning Electron Microscopy Corrections to Estimate True Surface Pore Size in Nanoporous Membranes
- Computational Analysis of Conversation Dynamics through Participant Responsivity
- Entropic Causal Inference: Graph Identifiability
- A Generative AI System for Biomedical Data Discovery with Grammar-Based Visualizations
- Overfitting in Adaptive Robust Optimization
- PersonaMatrix: A Recipe for Persona-Aware Evaluation of Legal Summarization
- Purely Semantic Indexing for LLM-based Generative Recommendation and Retrieval
- Domain-Specific Constitutional AI: Enhancing Safety in LLM-Powered Mental Health Chatbots
- LightCode: Compiling LLM Inference for Photonic-Electronic Systems
- Evaluating the Effectiveness and Scalability of LLM-Based Data Augmentation for Retrieval
- AutoArabic: A Three-Stage Framework for Localizing Video-Text Retrieval Benchmarks
- SENSE-7: Taxonomy and Dataset for Measuring User Perceptions of Empathy in Sustained Human-AI Conversations
- Improved mmFormer for Liver Fibrosis Staging via Missing-Modality Compensation
- End-to-end RL Improves Dexterous Grasping Policies
- Proactive Statistical Process Control Using AI: A Time Series Forecasting Approach for Semiconductor Manufacturing
- TractoTransformer: Diffusion MRI Streamline Tractography using CNN and Transformer Networks
- 3D Gaussian Flats: Hybrid 2D/3D Photometric Scene Reconstruction
- Evaluating CxG Generalisation in LLMs via Construction-Based NLI Fine Tuning
- AHA -- Predicting What Matters Next: Online Highlight Detection Without Looking Ahead
- LenslessMic: Audio Encryption and Authentication via Lensless Computational Imaging
- StereoAdapter: Adapting Stereo Depth Estimation to Underwater Scenes
- Pico: A Modular Framework for Hypothesis-Driven Small Language Model Research
- Hierarchical Retrieval: The Geometry and a Pretrain-Finetune Recipe
- 'Rich Dad, Poor Lad': How do Large Language Models Contextualize Socioeconomic Factors in College Admission ?
- Low-Rank Evolutionary Deep Neural Networks via Adaptive Tangent-Space Reduction
- Federated Learning for Financial Forecasting
- Accurate Thyroid Cancer Classification using a Novel Binary Pattern Driven Local Discrete Cosine Transform Descriptor
- EMPEROR: Efficient Moment-Preserving Representation of Distributions
- Longitudinal and Multimodal Recording System to Capture Real-World Patient-Clinician Conversations for AI and Encounter Research: Protocol
- Whisper-UT: A Unified Translation Framework for Speech and Text
- Introducing Resizable Region Packing Problem in Image Generation, with a Heuristic Solution
- Guided Sequence-Structure Generative Modeling for Iterative Antibody Optimization
- Improving Deep Tabular Learning
- Secure Confidential Business Information When Sharing Machine Learning Models
- A Unified AI Approach for Continuous Monitoring of Human Health and Diseases from Intensive Care Unit to Home with Physiological Foundation Models (UNIPHY+)
- QUINTA: Reflexive Sensibility For Responsible AI Research and Data-Driven Processes
- From Canopy to Ground via ForestGen3D: Learning Cross-Domain Generation of 3D Forest Structure from Aerial-to-Terrestrial LiDAR
- Estimating Clinical Lab Test Result Trajectories from PPG using Physiological Foundation Model and Patient-Aware State Space Model -- a UNIPHY+ Approach
- Highly Imbalanced Regression with Tabular Data in SEP and Other Applications
- Learning Centre Partitions from Summaries
- Neural Atlas Graphs for Dynamic Scene Decomposition and Editing
- Psychometric Personality Shaping Modulates Capabilities and Safety in Language Models
- The Role of High-Performance GPU Resources in Large Language Model Based Radiology Imaging Diagnosis
- HARE: an entity and relation centric evaluation framework for histopathology reports
- Auto-bidding under Return-on-Spend Constraints with Uncertainty Quantification
- TF-DWGNet: A Directed Weighted Graph Neural Network with Tensor Fusion for Multi-Omics Cancer Subtype Classification
- ROOT: Rethinking Offline Optimization as Distributional Translation via Probabilistic Bridge
- On the Non-Uniqueness of Representation of (U,N)-Implications
- A global view of diverse construction methods of fuzzy implication functions rooted on F-chains
- How Large Language Models are Designed to Hallucinate
- Patterns in the Transition From Founder-Leadership to Community Governance of Open Source
- Robust LLM Training Infrastructure at ByteDance
- Identifying Critical Pathways in Coronary Heart Disease via Fuzzy Subgraph Connectivity
- Architectural change in neural networks using fuzzy vertex pooling
- RPG: A Repository Planning Graph for Unified and Scalable Codebase Generation
- FocalCodec-Stream: Streaming Low-Bitrate Speech Coding via Causal Distillation
- Latent learning: episodic memory complements parametric learning by enabling flexible reuse of experiences
- CultureScope: A Dimensional Lens for Probing Cultural Understanding in LLMs
- MatchFixAgent: Language-Agnostic Autonomous Repository-Level Code Translation Validation and Repair
- Quantum Generative Adversarial Autoencoders: Learning latent representations for quantum data generation
- Accelerating Atomic Fine Structure Determination with Graph Reinforcement Learning
- Query-Efficient Locally Private Hypothesis Selection via the Scheffe Graph
- Fast OTSU Thresholding Using Bisection Method
- DIVEBATCH: Accelerating Model Training Through Gradient-Diversity Aware Batch Size Adaptation
- UniMRSeg: Unified Modality-Relax Segmentation via Hierarchical Self-Supervised Compensation
- AcT2I: Evaluating and Improving Action Depiction in Text-to-Image Models
- When Bugs Linger: A Study of Anomalous Resolution Time Outliers and Their Themes
- Spatio-temporal, multi-field deep learning of shock propagation in meso-structured media
- Recovering Parametric Scenes from Very Few Time-of-Flight Pixels
- Network-Based Detection of Autism Spectrum Disorder Using Sustainable and Non-invasive Salivary Biomarkers
- RadarGaussianDet3D: Gaussian Representation-based Real-time 3D Object Detection with 4D Automotive Radars
- It Depends: Resolving Referential Ambiguity in Minimal Contexts with Commonsense Knowledge
- Personalized Federated Heat-Kernel Enhanced Multi-View Clustering via Advanced Tensor Decomposition Techniques
- SegDINO3D: 3D Instance Segmentation Empowered by Both Image-Level and Object-Level 2D Features
- AdaSports-Traj: Role- and Domain-Aware Adaptation for Multi-Agent Trajectory Modeling in Sports
- Beyond Pointwise Scores: Decomposed Criteria-Based Evaluation of LLM Responses
- An adaptive subsampling method for large-sample feature screening
- Exploring Synthesizable Chemical Space with Iterative Pathway Refinements
- MTS-DMAE: Dual-Masked Autoencoder for Unsupervised Multivariate Time Series Representation Learning
- Communications to Circulations: Real-Time 3D Wind Field Prediction Using 5G GNSS Signals and Deep Learning
- Attention Schema-based Attention Control (ASAC): A Cognitive-Inspired Approach for Attention Management in Transformers
- Compose by Focus: Scene Graph-based Atomic Skills
- Graph-based Point Cloud Surface Reconstruction using B-Splines
- FMD-TransUNet: Abdominal Multi-Organ Segmentation Based on Frequency Domain Multi-Axis Representation Learning and Dual Attention Mechanisms
- Automated Constitutive Model Discovery by Pairing Sparse Regression Algorithms with Model Selection Criteria
- GLip: A Global-Local Integrated Progressive Framework for Robust Visual Speech Recognition
- What is a good matching of probability measures? A counterfactual lens on transport maps
- Time-adaptive SympNets for separable Hamiltonian systems
- Session-Level Spoken Language Assessment with a Multimodal Foundation Model via Multi-Target Learning
- Generalized Deep Multi-view Clustering via Causal Learning with Partially Aligned Cross-view Correspondence
- AI Methods for Permutation Circuit Synthesis Across Generic Topologies
- SLaM-DiMM: Shared Latent Modeling for Diffusion Based Missing Modality Synthesis in MRI
- Predicting the descent into extremism and terrorism
- Towards Robust Visual Continual Learning with Multi-Prototype Supervision
- Fed-PISA: Federated Voice Cloning via Personalized Identity-Style Adaptation
- Inverse Optimization Latent Variable Models for Learning Costs Applied to Route Problems
- Quantum Enhanced Anomaly Detection for ADS-B Data using Hybrid Deep Learning
- DAFTED: Decoupled Asymmetric Fusion of Tabular and Echocardiographic Data for Cardiac Hypertension Diagnosis
- Model-free algorithms for fast node clustering in SBM type graphs and application to social role inference in animals
- Towards Sharper Object Boundaries in Self-Supervised Depth Estimation
- EmoHeal: An End-to-End System for Personalized Therapeutic Music Retrieval from Fine-grained Emotions
- CoPAD : Multi-source Trajectory Fusion and Cooperative Trajectory Prediction with Anchor-oriented Decoder in V2X Scenarios
- Shedding Light on Depth: Explainability Assessment in Monocular Depth Estimation
- BEFT: Bias-Efficient Fine-Tuning of Language Models in Low-Data Regimes
- VoXtream: Full-Stream Text-to-Speech with Extremely Low Latency
- A multi-temporal multi-spectral attention-augmented deep convolution neural network with contrastive learning for crop yield prediction
- Structured Information for Improving Spatial Relationships in Text-to-Image Generation
- Review of Explainable Decision Support and Adaptive Human-Machine Interfaces for Automation Transparency in Maritime Autonomous Surface Ships
- Localmax dynamics for attention in transformers and its asymptotic behavior
- EHR-MCP: Real-world Evaluation of Clinical Information Retrieval by Large Language Models via Model Context Protocol
- Adversarial Graph Fusion for Incomplete Multi-view Semi-supervised Learning with Tensorial Imputation
- Targeted Fine-Tuning of DNN-Based Receivers via Influence Functions
- The Missing Piece: A Case for Pre-Training in 3D Medical Object Detection
- PAN: Pillars-Attention-Based Network for 3D Object Detection
- UniTac2Pose: A Unified Approach Learned in Simulation for Category-level Visuotactile In-hand Pose Estimation
- Bayesian Physics Informed Neural Networks for Reliable Transformer Prognostics
- The Alignment Bottleneck
- Improving Monte Carlo Tree Search for Symbolic Regression
- Enhancing Generative Auto-bidding with Offline Reward Evaluation and Policy Search
- Beyond the Score: Uncertainty-Calibrated LLMs for Automated Essay Assessment
- Sparse Multiview Open-Vocabulary 3D Detection
- Interpretable Nanoporous Materials Design with Symmetry-Aware Networks
- Deep Feedback Models
- Re-FRAME the Meeting Summarization SCOPE: Fact-Based Summarization and Personalization via Questions
- A Flow-rate-conserving CNN-based Domain Decomposition Method for Blood Flow Simulations
- The Psychology of Falsehood: A Human-Centric Survey of Misinformation Detection
- From Data to Diagnosis: A Large, Comprehensive Bone Marrow Dataset and AI Methods for Childhood Leukemia Prediction
- MoAngelo: Motion-Aware Neural Surface Reconstruction for Dynamic Scenes
- Global Regulation and Excitation via Attention Tuning for Stereo Matching
- RangeSAM: On the Potential of Visual Foundation Models for Range-View represented LiDAR segmentation
- Self-Supervised Cross-Modal Learning for Image-to-Point Cloud Registration
- ENSAM: an efficient foundation model for interactive segmentation of 3D medical images
- DeepMech: A Machine Learning Framework for Chemical Reaction Mechanism Prediction
- Zero-Shot Visual Grounding in 3D Gaussians via View Retrieval
- LC-SLab -- An object-based deep learning framework for large-scale land cover classification from satellite imagery and sparse in-situ labels
- Optimizing Product Deduplication in E-Commerce with Multimodal Embeddings
- EvoBrain: Dynamic Multi-Channel EEG Graph Modeling for Time-Evolving Brain Networks
- A Comparative Study of Rule-Based and Data-Driven Approaches in Industrial Monitoring
- FedHK-MVFC: Federated Heat Kernel Multi-View Clustering
- Tsururu: A Python-based Time Series Forecasting Strategies Library
- The Curious Case of Visual Grounding: Different Effects for Speech- and Text-based Language Encoders
- HyP-ASO: A Hybrid Policy-based Adaptive Search Optimization Framework for Large-Scale Integer Linear Programs
- SolarCrossFormer: Improving day-ahead Solar Irradiance Forecasting by Integrating Satellite Imagery and Ground Sensors
- Phase Transition for Stochastic Block Model with more than √n Communities
- On the Convergence of Muon and Beyond
- GPU Temperature Simulation-Based Testing for In-Vehicle Deep Learning Frameworks
- QWD-GAN: Quality-aware Wavelet-driven GAN for Unsupervised Medical Microscopy Images Denoising
- Diversity of Structured Domains via k-Kemeny Scores
- Instance Generation for Meta-Black-Box Optimization through Latent Space Reverse Engineering
- Boosting Active Learning with Knowledge Transfer
- CIDER: A Causal Cure for Brand-Obsessed Text-to-Image Models
- DPC-QA Net: A No-Reference Dual-Stream Perceptual and Cellular Quality Assessment Network for Histopathology Images
- Hierarchical Reinforcement Learning with Low-Level MPC for Multi-Agent Control
- Transfer learning under latent space model
- Monte Carlo Tree Diffusion with Multiple Experts for Protein Design
- TASAM: Terrain-and-Aware Segment Anything Model for Temporal-Scale Remote Sensing Segmentation
- RAVE: Retrieval and Scoring Aware Verifiable Claim Detection
- Minimal Semantic Sufficiency Meets Unsupervised Domain Generalization
- UPRPRC: Unified Pipeline for Reproducing Parallel Resources -- Corpus from the United Nations
- FoBa: A Foreground-Background co-Guided Method and New Benchmark for Remote Sensing Semantic Change Detection
- Building Data-Driven Occupation Taxonomies: A Bottom-Up Multi-Stage Approach via Semantic Clustering and Multi-Agent Collaboration
- CBPNet: A Continual Backpropagation Prompt Network for Alleviating Plasticity Loss on Edge Devices
- Ideal Registration? Segmentation is All You Need
- Enriched Feature Representation and Motion Prediction Module for MOSEv2 Track of 7th LSVOS Challenge: 3rd Place Solution
- Ontology Creation and Management Tools: the Case of Anatomical Connectivity
- Generalization and Optimization of SGD with Lookahead
- Overview of PlantCLEF 2024: multi-species plant identification in vegetation plot images
- Learning to Optimize Capacity Planning in Semiconductor Manufacturing
- Uncertainty-Gated Deformable Network for Breast Tumor Segmentation in MR Images
- MCOD: The First Challenging Benchmark for Multispectral Camouflaged Object Detection
- Simulated Cortical Magnification Supports Self-Supervised Object Learning
- FloorSAM: SAM-Guided Floorplan Reconstruction with Semantic-Geometric Fusion
- Hybrid Lie semi-group and cascade structures for the generalized Gaussian derivative model for visual receptive fields
- TrueMoE: Dual-Routing Mixture of Discriminative Experts for Synthetic Image Detection
- Incremental Multistep Forecasting of Battery Degradation Using Pseudo Targets
- Aircraft Fuel Flow Modelling with Ageing Effects: From Parametric Corrections to Neural Networks
- EigenTrack: Spectral Activation Feature Tracking for Hallucination and Out-of-Distribution Detection in LLMs and VLMs
- GP3: A 3D Geometry-Aware Policy with Multi-View Images for Robotic Manipulation
- A Nascent Taxonomy of Machine Learning in Intelligent Robotic Process Automation
- Training Variational Quantum Circuits Using Particle Swarm Optimization
- REFER: Mitigating Bias in Opinion Summarisation via Frequency Framed Prompting
- Impact of Single Rotations and Entanglement Topologies in Quantum Neural Networks
- Once Upon a Time: Interactive Learning for Storytelling with Small Language Models
- Toward Medical Deepfake Detection: A Comprehensive Dataset and Novel Method
- SGMAGNet: A Baseline Model for 3D Cloud Phase Structure Reconstruction on a New Passive Active Satellite Benchmark
- Triplet Loss Based Quantum Encoding for Class Separability
- Fine-Tuning Large Multimodal Models for Automatic Pronunciation Assessment
- SCENEFORGE: Enhancing 3D-text alignment with Structured Scene Compositions
- Direct Simultaneous Translation Activation for Large Audio-Language Models
- Saccadic Vision for Fine-Grained Visual Classification
- Camera Splatting for Continuous View Optimization
- KITE: Kernelized and Information Theoretic Exemplars for In-Context Learning
- A PCA Based Model for Surface Reconstruction from Incomplete Point Clouds
- Inference Offloading for Cost-Sensitive Binary Classification at the Edge
- VOX-KRIKRI: Unifying Speech and Language through Continuous Fusion
- TISDiSS: A Training-Time and Inference-Time Scalable Framework for Discriminative Source Separation
- Chunk Knowledge Generation Model for Enhanced Information Retrieval: A Multi-task Learning Approach
- Layer-wise Minimal Pair Probing Reveals Contextual Grammatical-Conceptual Hierarchy in Speech Representations
- Toward Efficient Influence Function: Dropout as a Compression Tool
- FingerSplat: Contactless Fingerprint 3D Reconstruction and Generation based on 3D Gaussian Splatting
- GS-Scale: Unlocking Large-Scale 3D Gaussian Splatting Training via Host Offloading
- UNIV: Unified Foundation Model for Infrared and Visible Modalities
- Information Geometry of Variational Bayes
- Multilingual LLM Prompting Strategies for Medical English-Vietnamese Machine Translation
- PCSR: Pseudo-label Consistency-Guided Sample Refinement for Noisy Correspondence Learning
- SciEvent: Benchmarking Multi-domain Scientific Event Extraction
- Efficient Extractive Text Summarization for Online News Articles Using Machine Learning
- Interpretable Network-assisted Random Forest+
- Prostate Capsule Segmentation from Micro-Ultrasound Images using Adaptive Focal Loss
- Beyond the Average: Distributional Causal Inference under Imperfect Compliance
- SETrLUSI: Stochastic Ensemble Multi-Source Transfer Learning Using Statistical Invariant
- Personalized Prediction By Learning Halfspace Reference Classes Under Well-Behaved Distribution
- Latent Zoning Network: A Unified Principle for Generative Modeling, Representation Learning, and Classification
- CFDA & CLIP at TREC iKAT 2025: Enhancing Personalized Conversational Search via Query Reformulation and Rank Fusion
- How many classes do we need to see for novel class discovery?
- Chunk Based Speech Pre-training with High Resolution Finite Scalar Quantization
- Multimodal Learning for Fake News Detection in Short Videos Using Linguistically Verified Data and Heterogeneous Modality Fusion
- Subset Selection for Stratified Sampling in Online Controlled Experiments
- Towards Size-invariant Salient Object Detection: A Generic Evaluation and Optimization Approach
- Contrastive Learning with Spectrum Information Augmentation in Abnormal Sound Detection
- Small LLMs with Expert Blocks Are Good Enough for Hyperparamter Tuning
- How important is language for human-like intelligence?
- From Development to Deployment of AI-assisted Telehealth and Screening for Vision- and Hearing-threatening diseases in resource-constrained settings: Field Observations, Challenges and Way Forward
- Exploring Polyglot Harmony: On Multilingual Data Allocation for Large Language Models Pretraining
- Hybrid Deep Learning-Federated Learning Powered Intrusion Detection System for IoT/5G Advanced Edge Computing Network
- Diffusion-Based Cross-Modal Feature Extraction for Multi-Label Classification
- The Multi-Query Paradox in Zeroth-Order Optimization
- DNA-DetectLLM: Unveiling AI-Generated Text via a DNA-Inspired Mutation-Repair Paradigm
- M-DaQ: Retrieving Samples with Multilingual Diversity and Quality for Instruction Fine-Tuning Datasets
- MS-GS: Multi-Appearance Sparse-View 3D Gaussian Splatting in the Wild
- Enhancing Sa2VA for Referent Video Object Segmentation: 2nd Solution for 7th LSVOS RVOS Track
- Nonconvex Decentralized Stochastic Bilevel Optimization under Heavy-Tailed Noise
- Stress Testing Deliberative Alignment for Anti-Scheming Training
- Beyond Words: Enhancing Desire, Emotion, and Sentiment Recognition with Non-Verbal Cues
- Geometric Integration for Neural Control Variates
- Universal Learning of Stochastic Dynamics for Exact Belief Propagation using Bernstein Normalizing Flows
- GUI-ARP: Enhancing Grounding with Adaptive Region Perception for GUI Agents
- Fully Decentralized Cooperative Multi-Agent Reinforcement Learning is A Context Modeling Problem
- How do Language Models Generate Slang: A Systematic Comparison between Human and Machine-Generated Slang Usages
- A Survey and Comparative Evaluation of Intrinsic Dimension Estimators under the Manifold Hypothesis
- LLM Cache Bandit Revisited: Addressing Query Heterogeneity for Cost-Effective LLM Inference
- KoopCast: Trajectory Forecasting via Koopman Operators
- The (Short-Term) Effects of Large Language Models on Unemployment and Earnings
- Backdoor Mitigation via Invertible Pruning Masks
- Lynx: Towards High-Fidelity Personalized Video Generation
- Multi-resolution Enhancement for Full Spectrum Neural Representations
- FRAUDGUESS: Spotting and Explaining New Types of Fraud in Million-Scale Financial Data