Papers
Mon 18 Aug 2025
332 papers
- TalkPlayData 2: An Agentic Synthetic Data Pipeline for Multimodal Conversational Music RecommendationLLM agents and tool use → Multimodal and embodied agents +1
- 2COOOL: 2nd Workshop on the Challenge Of Out-Of-Label Hazards in Autonomous DrivingEnd-to-end autonomous driving → VLMs for autonomous driving
- CountLoop: Training-Free High-Instance Image Generation via Iterative Agent GuidanceDiffusion models → Image generation, text-to-image and editing
- A Functionality-Grounded Benchmark for Evaluating Web Agents in E-commerce DomainsLLM agents and tool use → Social simulation and multi-agent debate
- Mini-Omni-Reasoner: Token-Level Thinking-in-Speaking in Large Speech ModelsLLM reasoning → Audio-language model reasoning
- AI Agents for Photonic Integrated Circuit Design AutomationLLM agents and tool use → Software engineering coding agents
- 3D Cardiac Anatomy Generation Using Mesh Latent Diffusion ModelsDiffusion models → Medical imaging and segmentation
- SimGenHOI: Physically Realistic Whole-Body Humanoid-Object Interaction via Generative Modeling and Reinforcement LearningDeep reinforcement learning methods → RL for robot locomotion and manipulation
- From AI for Science to Agentic Science: A Survey on Autonomous Scientific DiscoveryLLM agents and tool use → Web, search, and research agents
- Datarus-R1: An Adaptive Multi-Step Reasoning LLM for Automated Data AnalysisLLM reasoning → Test-time compute and efficient thinking
- Stands to Reason: Investigating the Effect of Reasoning on Idiomaticity DetectionLLM reasoning → Reasoning benchmarks and evaluation
- X-MoE: Enabling Scalable Training for Emerging Mixture-of-Experts Architectures on HPC PlatformsMixture-of-experts → Efficient MoE training and inference systems
- Constraint-Aware Flow Matching via Randomized ExplorationDiffusion models → Flow matching, time series and science
- Flow Matching for Efficient and Scalable Data AssimilationDiffusion models → Flow matching, time series and science
- Prune2Drive: A Plug-and-Play Framework for Accelerating Vision-Language Models in Autonomous DrivingMultimodal LLMs / vision-language models → Driving VLMs and open-vocabulary detection +1
- GaitCrafter: Diffusion Model for Biometric Preserving Gait SynthesisDiffusion models → Video generation
- CardAIc-Agents: A Multimodal Framework with Hierarchical Adaptation for Cardiac Care SupportLLM agents and tool use → Medical and scientific domain agents
- Explicit v.s. Implicit Memory: Exploring Multi-hop Complex Reasoning Over Personalized InformationLLM reasoning → Knowledge- and tool-augmented reasoning +1
- Involuntary Jailbreak: On Self-Prompting AttacksLLM safety and security → Jailbreaking
- DianJin-OCR-R1: Enhancing OCR Capabilities via a Reasoning-and-Tool Interleaved Vision-Language ModelLLM reasoning → Multimodal reasoning +1
- 4DNeX: Feed-Forward 4D Generative Modeling Made EasyDiffusion models → 3D, point cloud and scene generation
- Manipulate-to-Navigate: Reinforcement Learning with Visual Affordances and Manipulability PriorsDeep reinforcement learning methods → RL for robot locomotion and manipulation
- MDPO: Overcoming the Training-Inference Divide of Masked Diffusion Language ModelsDiffusion models → Discrete and text diffusion
- Exploring Autonomous Agents: A Closer Look at Why They Fail When Completing TasksLLM agents and tool use → General LLM agent frameworks and benchmarks
- Holistic Evaluation of Multimodal LLMs on Spatial IntelligenceMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- OptimalThinkingBench: Evaluating Over and Underthinking in LLMsLLM reasoning → Test-time compute and efficient thinking
- Improving Detection of Watermarked Language ModelsLLM safety and security → Watermarking generated content and models
- MuDRiC: Multi-Dialect Reasoning for Arabic Commonsense ValidationLLM reasoning → Reasoning benchmarks and evaluation
- AutoBnB-RAG: Enhancing Multi-Agent Incident Response with Retrieval-Augmented GenerationRetrieval-augmented generation → Privacy and security of RAG +1
- Contrastive Representations for Temporal ReasoningLLM reasoning → Multimodal reasoning
- All for law and law for all: Adaptive RAG Pipeline for Legal ResearchRetrieval-augmented generation → Legal and financial RAG
- Grounding Actions in Camera Space: Observation-Centric Vision-Language-Action PolicyVision-language-action models → 3D and spatial-aware VLA
- Denoising diffusion models for inverse design of inflatable structures with programmable deformationsDiffusion models → Flow matching, time series and science
- DMS:Diffusion-Based Multi-Baseline Stereo Generation for Improving Self-Supervised Depth EstimationDiffusion models → 3D, point cloud and scene generation
- From Transthoracic to Transesophageal: Cross-Modality Generation using LoRA DiffusionDiffusion models → Medical imaging and segmentation
- Large VLM-based Vision-Language-Action Models for Robotic Manipulation: A SurveyVision-language-action models → Generalist VLA models and benchmarks
- Reinforced Context Order Recovery for Adaptive Reasoning and PlanningLLM reasoning → Reinforcement learning for reasoning +1
- Eyes on the Image: Gaze Supervised Multimodal Learning for Chest X-ray Diagnosis and Report GenerationMultimodal LLMs / vision-language models → Medical vision-language models
- Odo: Depth-Guided Diffusion for Identity-Preserving Body ReshapingDiffusion models → 3D, point cloud and scene generation
- MAJIC: Markovian Adaptive Jailbreaking via Iterative Composition of Diverse Innovative StrategiesLLM safety and security → Jailbreaking
- Can Large Models Teach Student Models to Solve Mathematical Problems Like Human Beings? A Reasoning Distillation Method via Multi-LoRA InteractionLLM reasoning → Prompting and chain-of-thought reasoning +1
- WebMall -- A Multi-Shop Benchmark for Evaluating Web AgentsLLM agents and tool use → Social simulation and multi-agent debate
- G2RPO-A: Guided Group Relative Policy Optimization with Adaptive GuidanceLLM reasoning → Reinforcement learning for reasoning
- Empirical Analysis of Decoding Biases in Masked Diffusion ModelsDiffusion models → Discrete and text diffusion
- Matrix-game 2.0: An open-source real-time and streaming interactive world modelWorld models → Video-generation world models and simulators +1
- EvolMathEval: Towards Evolvable Benchmarks for Mathematical Reasoning via Evolutionary TestingLLM reasoning → Mathematical reasoning
- Analyzing Information Sharing and Coordination in Multi-Agent PlanningLLM agents and tool use → General LLM agent frameworks and benchmarks
- Adaptive Reinforcement for Open-ended Medical Reasoning via Semantic-Guided Reward Collapse MitigationLLM reasoning → Clinical and biomedical applications +1
- OPTIC-ER: A Reinforcement Learning Framework for Real-Time Emergency Response and Equitable Resource Allocation in Underserved African CommunitiesDeep reinforcement learning methods → RL for energy, networks and operations
- Towards Open-Ended Emotional Support Conversations in LLMs via Reinforcement Learning with Future-Oriented RewardsLLM alignment / RLHF / preference optimisation → Medical LLM alignment
- Do Large Language Model Agents Exhibit a Survival Instinct? An Empirical Study in a Sugarscape-Style SimulationLLM agents and tool use → General LLM agent frameworks and benchmarks
- RoboRetriever: Single-Camera Robot Object Retrieval via Active and Interactive Perception with Dynamic Scene GraphLLM reasoning → Spatial and embodied reasoning
- CTFlow: Video-Inspired Latent Flow Matching for 3D CT SynthesisDiffusion models → Medical imaging and segmentation
- RAJ-PGA: Reasoning-Activated Jailbreak and Principle-Guided Alignment Framework for Large Reasoning ModelsLLM reasoning → Reasoning for agents, planning and code +1
- Stochastic Self-Guidance for Training-Free Enhancement of Diffusion ModelsDiffusion models → Diffusion foundations and sampling
- Preserve and Sculpt: Manifold-Aligned Fine-tuning of Vision-Language Models for Few-Shot LearningMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- An LLM Agent-Based Complex Semantic Table Annotation ApproachLLM agents and tool use → Web, search, and research agents
- Cross-Domain Few-Shot Learning via Multi-View Collaborative Optimization with Vision-Language ModelsMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- Accelerating Edge Inference for Distributed MoE Models with Latency-Optimized Expert PlacementMixture-of-experts → Efficient MoE training and inference systems
- Context Matters: Incorporating Target Awareness in Conversational Abusive Language DetectionLLM safety and security → Safety alignment, refusal and guardrails
- Learning to Steer: Input-dependent Steering for Multimodal LLMsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning +1
- Maximum Score Routing For Mixture-of-ExpertsMixture-of-experts → Expert routing strategies
- Atom-Searcher: Enhancing Agentic Deep Research via Fine-Grained Atomic Thought RewardLLM reasoning → Knowledge- and tool-augmented reasoning +2
- Reinforcement Learning with Rubric AnchorsDeep reinforcement learning methods → RL training of language and agent models
- Leveraging Diffusion Models for Stylization using Multiple Style ImagesDiffusion models → Image generation, text-to-image and editing
- HeroBench: A Benchmark for Long-Horizon Planning and Structured Reasoning in Virtual WorldsLLM reasoning → Reasoning for agents, planning and code
- HeteroRAG: A Heterogeneous Retrieval-Augmented Generation Framework for Medical Vision Language TasksMultimodal LLMs / vision-language models → Medical vision-language models +1
- Deep Research: A Survey of Autonomous Research AgentsLLM agents and tool use → Web, search, and research agents
- D2-Mamba: Dual-Scale Fusion and Dual-Path Scanning with SSMs for Shadow RemovalState-space sequence models (S4, Mamba) → Mamba for image restoration
- A Multi-Resolution Benchmark Framework for Spatial Reasoning Assessment in Neural NetworksLLM reasoning → Spatial and embodied reasoning
- LinguaSafe: A Comprehensive Multilingual Safety Benchmark for Large Language ModelsLLM safety and security → Safety alignment, refusal and guardrails
- Unlearning Comparator: A Visual Analytics System for Comparative Evaluation of Machine Unlearning MethodsLLM safety and security → Machine unlearning
- DESIGNER: Design-Logic-Guided Multidisciplinary Data Synthesis for LLM ReasoningLLM reasoning → Reasoning benchmarks and evaluation +1
- Single-Reference Text-to-Image Manipulation with Dual Contrastive Denoising ScoreDiffusion models → Image generation, text-to-image and editing
- Asymmetric Diffusion Recommendation ModelDiffusion models → Diffusion recommenders
- Multi-Level Knowledge Distillation and Dynamic Self-Supervised Learning for Continual LearningKnowledge distillation → Distillation for continual learning
- Adaptive Hybrid Caching for Efficient Text-to-Video Diffusion Model AccelerationDiffusion models → Video generation
- EGOILLUSION: Benchmarking Hallucinations in Egocentric Video UnderstandingMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs
- ToolACE-MT: Non-Autoregressive Generation for Agentic Multi-Turn InteractionLLM agents and tool use → General LLM agent frameworks and benchmarks
- A Taxonomy of Hierarchical Multi-Agent Systems: Design Patterns, Coordination Mechanisms, and Industrial ApplicationsLLM agents and tool use → General LLM agent frameworks and benchmarks
- GridCodex: A RAG-Driven AI Framework for Power Grid Code Reasoning and ComplianceLLM reasoning → Knowledge- and tool-augmented reasoning
- Vision-G1: Towards General Vision Language Reasoning with Multi-Domain Data CurationLLM reasoning → Multimodal reasoning
- Stable Diffusion-Based Approach for Human De-OcclusionDiffusion models → 3D, point cloud and scene generation
- Synthesizing Accurate and Realistic T1-weighted Contrast-Enhanced MR Images using Posterior-Mean Rectified FlowDiffusion models → Medical imaging and segmentation
- edgeVLM: Cloud-edge Collaborative Real-time VLM based on Context TransferMultimodal LLMs / vision-language models → Visual token pruning and efficiency
- Semantic Anchoring in Agentic Memory: Leveraging Linguistic Structures for Persistent Conversational ContextLLM agents and tool use → Agent memory systems
- FlowMol3: Flow Matching for 3D De Novo Small-Molecule GenerationDiffusion models → Flow matching, time series and science
- Creative4U: MLLMs-based Advertising Creative Image Selector with Comparative ReasoningLLM reasoning → Multimodal reasoning
- Consiglieres in the Shadow: Understanding the Use of Uncensored Large Language Models in CybercrimesLLM safety and security → Prompt injection and agent security
- ViDA-UGC: Detailed Image Quality Analysis via Visual Distortion Assessment for UGC ImagesMultimodal LLMs / vision-language models → Image editing and quality assessment
- SSPO: Self-traced Step-wise Preference Optimization for Process Supervision and Reasoning CompressionLLM reasoning → Reinforcement learning for reasoning +1
- ViLaD: A Large Vision Language Diffusion Framework for End-to-End Autonomous DrivingMultimodal LLMs / vision-language models → Driving VLMs and open-vocabulary detection +1
- Energy-Efficient Wireless LLM Inference via Uncertainty and Importance-Aware Speculative DecodingEfficient LLM inference and serving → Speculative decoding
- Multimodal Chain of Continuous Thought for Latent-Space Reasoning in Vision-Language ModelsLLM reasoning → Multimodal reasoning +1
- Help or Hurdle? Rethinking Model Context Protocol-Augmented Large Language ModelsLLM reasoning → Reasoning for agents, planning and code +1
- Illuminating LLM Coding Agents: Visual Analytics for Deeper Understanding and EnhancementLLM agents and tool use → Software engineering coding agents
- TuneAgent: Agentic Operating System Kernel Tuning with Reinforcement LearningLLM agents and tool use → Software engineering coding agents
- REVEAL -- Reasoning and Evaluation of Visual Evidence through Aligned LanguageLLM reasoning → Multimodal reasoning +1
- MCPXKIT: The Unified Toolkit for Analyzing Model Context Protocol SecurityLLM agents and tool use → Agent threats, guardrails and governance
- jXBW: A Compressed Index Enabling Structure-Aware JSONL Retrieval for Structured RAGRetrieval-augmented generation → Knowledge-graph and structured-knowledge RAG
All 332
- CorrSteer: Generation-Time LLM Steering via Correlated Sparse Autoencoder FeaturesMechanistic interpretability → SAE features and their applications
- Personas within Parameters: Fine-Tuning Small Language Models with Low-Rank Adapters to Mimic User Behaviors
- AI-Powered Assistant for Long-Term Access to RHIC Knowledge
- GeoGPT-RAG Technical Report
- Text-to-SQL Oriented to the Process Mining Domain: A PT-EN Dataset for Query Translation
- EEG-MSAF: An Interpretable Microstate Framework uncovers Default-Mode Decoherence in Early Neurodegeneration
- Generalization vs. Memorization in Autoregressive Deep Learning: Or, Examining Temporal Decay of Gradient Coherence
- Beat-Based Rhythm Quantization of MIDI Performances
- From Classical Probabilistic Latent Variable Models to Modern Generative AI: A Unified Perspective
- Enhancing Transformer-Based Foundation Models for Time Series Forecasting via Bagging, Boosting and Statistical Ensembles
- Who's Asking? Investigating Bias Through the Lens of Disability Framed Queries in LLMs
- DAIQ: Auditing Demographic Attribute Inference from Question in LLMs
- Mining Mental Health Signals: A Comparative Study of Four Machine Learning Methods for Depression Detection from Social Media Posts in Sorani Kurdish
- Z-Pruner: Post-Training Pruning of Large Language Models for Efficiency without Retraining
- Embarrassed to observe: The effects of directive language in brand conversation
- Enhancing Cryptocurrency Sentiment Analysis with Multimodal Features
- Avaliacc~ao de eficiencia na leitura: uma abordagem baseada em PLN
- SDEC: Semantic Deep Embedded Clustering
- Designing an Interdisciplinary Artificial Intelligence Curriculum for Engineering: Evaluation and Insights from Experts
- Human Feedback Driven Dynamic Speech Emotion Recognition
- Denoising by neural network for muzzle blast detection
- A Cost-Effective Framework for Predicting Parking Availability Using Geospatial Data and Machine Learning
- Documenting Deployment with Fabric: A Repository of Real-World AI Governance
- Hallucinations in medical devices
- Enriching Moral Perspectives on AI: Concepts of Trust amongst Africans
- Towards Low-Latency Tracking of Multiple Speakers With Short-Context Speaker Embeddings
- Ambiguity Resolution with Human Feedback for Code Writing Tasks
- Federated Action Recognition for Smart Worker Assistance Using FastPose
- Surya: Foundation Model for Heliophysics
- PAPPL: Personalized AI-Powered Progressive Learning Platform
- SuryaBench: Benchmark Dataset for Advancing Machine Learning in Heliophysics and Space Weather Prediction
- Semi-Supervised Anomaly Detection Pipeline for SOZ Localization Using Ictal-Related Chirp
- TASER: Table Agents for Schema-guided Extraction and Recommendation
- AIM 2025 Rip Current Segmentation (RipSeg) Challenge Report
- SPANER: Shared Prompt Aligner for Multimodal Semantic Representation
- Batching-Aware Joint Model Onloading and Offloading for Hierarchical Multi-Task Inference
- Governance-Ready Small Language Models for Medical Imaging: Prompting, Abstention, and PACS Integration
- Whispering Context: Distilling Syntax and Semantics for Long Speech Transcripts
- OrbitChain: Orchestrating In-orbit Real-time Analytics of Earth Observation Data
- LOOP: A Plug-and-Play Neuro-Symbolic Framework for Enhancing Planning in Autonomous Systems
- A Risk Manager for Intrusion Tolerant Systems: Enhancing HAL 9000 with New Scoring and Data Sources
- Automated Assessment of Aesthetic Outcomes in Facial Plastic Surgery
- Optimization-based Online Conformal Prediction for Multi-step Forecasting
- Overcoming Latency Bottlenecks in On-Device Speech Translation: A Cascaded Approach with Alignment-Based Streaming MT
- Counterfactual Probabilistic Diffusion with Expert Models
- Dimension lower bounds for linear approaches to function approximation
- Susceptibility Distortion Correction of Diffusion MRI with a single Phase-Encoding Direction
- HiFo-Prompt: Prompting with Hindsight and Foresight for LLM-based Automatic Heuristic Design
- A Dual-Attention Graph Network for fMRI Data Classification
- Towards Unified Multimodal Financial Forecasting: Integrating Sentiment Embeddings and Market Indicators via Cross-Modal Attention
- Decoding Communications with Partial Information
- A Surveillance Based Interactive Robot
- DASH: A Meta-Attack Framework for Synthesizing Effective and Stealthy Adversarial Examples
- Diff-MSM: Differentiable MusculoSkeletal Model for Simultaneous Identification of Human Muscle and Bone Parameters
- Hierarchical Conformal Classification
- InnerGS: Internal Scenes Reconstruction and Segmentation via Factorized 3D Gaussian Splatting
- Towards Human-AI Complementarity in Matching Tasks
- Physically Plausible Data Augmentations for Wearable IMU-based Human Activity Recognition Using Physics Simulation
- CLoE: Curriculum Learning on Endoscopic Images for Robust MES Classification
- ViTAD: Timing Violation-Aware Debugging of RTL Code using Large Language Models
- Automated Cervical Cancer Detection through Visual Inspection with Acetic Acid in Resource-Poor Settings with Lightweight Deep Learning Models Deployed on an Android Device
- "DIVE" into Hydrogen Storage Materials Discovery with AI Agents
- Goal-Directedness is in the Eye of the Beholder
- Exploration of Deep Learning Based Recognition for Urdu Text
- Data driven feedback linearization of nonlinear control systems via Lie derivatives and stacked regression approach
- Quantifying Loss Aversion in Cyber Adversaries via LLM Analysis
- PediDemi -- A Pediatric Demyelinating Lesion Segmentation Dataset
- Structural Foundations for Leading Digit Laws: Beyond Probabilistic Mixtures
- Uncertainty-Aware Learning Policy for Reliable Pulmonary Nodule Detection on Chest X-Ray
- The Role of AI in Facilitating Interdisciplinary Collaboration: Evidence from AlphaFold
- IGFuse: Interactive 3D Gaussian Scene Reconstruction via Multi-Scans Fusion
- RepreGuard: Detecting LLM-Generated Text by Revealing Hidden Representation Patterns
- Signal and Noise: A Framework for Reducing Uncertainty in Language Model Evaluation
- Motion2Motion: Cross-topology Motion Transfer with Sparse Correspondence
- Training Machine Learning Models on Human Spatio-temporal Mobility Data: An Experimental Study [Experiment Paper]
- Spot the BlindSpots: Systematic Identification and Quantification of Fine-Grained LLM Biases in Contact Center Summaries
- Bayesian Optimization-based Search for Agent Control in Automated Game Testing
- Causally-Guided Pairwise Transformer -- Towards Foundational Digital Twins in Process Industry
- Precise Action-to-Video Generation Through Visual Action Prompts
- Real-Time Beach Litter Detection and Counting: A Comparative Analysis of RT-DETR Model Variants
- A Perfectly Truthful Calibration Measure
- Outlier Detection of Poisson-Distributed Targets Using a Seabed Sensor Network
- VerilogLAVD: LLM-Aided Rule Generation for Vulnerability Detection in Verilog
- Seeing the Many: Exploring Parameter Distributions Conditioned on Features in Surrogates
- Checkmate: interpretable and explainable RSVQA is the endgame
- DocHPLT: A Massively Multilingual Document-Level Translation Dataset
- ID-Card Synthetic Generation: Toward a Simulated Bona fide Dataset
- A Language-Signal-Vision Multimodal Framework for Multitask Cardiac Analysis
- Is This News Still Interesting to You?: Lifetime-aware Interest Matching for News Recommendation
- Evaluating ASR robustness to spontaneous speech errors: A study of WhisperX using a Speech Error Database
- Dougal Dil .Icslemede Tokenizasyon Standartlari ve "Olcc"um"u: T"urkcce "Uzerinden B"uy"uk Dil Modellerinin Karcsilacstirmali Analizi
- Hierarchical Evaluation Function: A Multi-Metric Approach for Optimizing Demand Forecasting Models
- XR-NPE: High-Throughput Mixed-precision SIMD Neural Processing Engine for Extended Reality Perception Workloads
- Using AI for User Representation: An Analysis of 83 Persona Prompts
- B"uy"uk Dil Modelleri iccin TR-MMLU Benchmarki: Performans Deugerlendirmesi, Zorluklar ve .Iyilecstirme Firsatlari
- IntelliCap: Intelligent Guidance for Consistent View Sampling
- Beyond Internal Data: Bounding and Estimating Fairness from Incomplete Data
- The Application of Transformer-Based Models for Predicting Consequences of Cyber Attacks
- Integrating Feedback Loss from Bi-modal Sarcasm Detector for Sarcastic Speech Synthesis
- HierAdaptMR: Cross-Center Cardiac MRI Reconstruction with Hierarchical Feature Adapters
- e-boost: Boosted E-Graph Extraction with Adaptive Heuristics and Exact Solving
- Design and Analysis of Robust Adaptive Filtering with the Hyperbolic Tangent Exponential Kernel M-Estimator Function for Active Noise Control
- EgoTwin: Dreaming Body and View in First Person
- SlimComm: Doppler-Guided Sparse Queries for Bandwidth-Efficient Cooperative 3-D Perception
- Monte Carlo Functional Regularisation for Continual Learning
- Empirical Evidences for the Effects of Feature Diversity in Open Set Recognition and Continual Learning
- Omni Survey for Multimodality Analysis in Visual Object Tracking
- Vitamin N: Benefits of Different Forms of Public Greenery for Urban Health
- Fairness-Aware Multi-view Evidential Learning with Adaptive Prior
- Kourkoutas-Beta: A Sunspike-Driven Adam Optimizer with Desert Flair
- Predicting the Performance of Graph Convolutional Networks with Spectral Properties of the Graph Laplacian
- Transfer Learning for Neutrino Scattering: Domain Adaptation with GANs
- Point upsampling networks for single-photon sensing
- SL-ACC: A Communication-Efficient Split Learning Framework with Adaptive Channel-wise Compression
- Beyond Trade-offs: A Unified Framework for Privacy, Robustness, and Communication Efficiency in Federated Learning
- Dextr: Zero-Shot Neural Architecture Search with Singular Value Decomposition and Extrinsic Curvature
- A self-supervised learning approach for denoising autoregressive models with additive noise: finite and infinite variance cases
- Compact Attention: Exploiting Structured Spatio-Temporal Sparsity for Fast Video Generation
- Arabic ASR on the SADA Large-Scale Arabic Speech Corpus with Transformer-Based Models
- GazeDETR: Gaze Detection using Disentangled Head and Gaze Representations
- Multi-Phase Automated Segmentation of Dental Structures in CBCT Using a Lightweight Auto3DSeg and SegResNet Implementation
- MaskSem: Semantic-Guided Masking for Learning 3D Hybrid High-Order Motion Representation
- Shapley Values: Paired-Sampling Approximations
- Lumen: Consistent Video Relighting and Harmonious Background Replacement with Video Generative Models
- Fully Automated Segmentation of Fiber Bundles in Anatomic Tracing Data
- Simulation-Based Inference: A Practical Guide
- SEDEG:Sequential Enhancement of Decoder and Encoder's Generality for Class Incremental Learning with Small Memory
- Towards High-Resolution Industrial Image Anomaly Detection
- The path to a goal: Understanding soccer possessions via path signatures
- Learning local and global prototypes with optimal transport for unsupervised anomaly detection and localization
- On the distance between mean and geometric median in high dimensions
- 7Bench: a Comprehensive Benchmark for Layout-guided Text-to-image Models
- CMF-IoU: Multi-Stage Cross-Modal Fusion 3D Object Detection with IoU Joint Prediction
- SecFSM: Knowledge Graph-Guided Verilog Code Generation for Secure Finite State Machines in Systems-on-Chip
- SNAP-UQ: Self-supervised Next-Activation Prediction for Single-Pass Uncertainty in TinyML
- SparseMap: A Sparse Tensor Accelerator Framework Based on Evolution Strategy
- TCUQ: Single-Pass Uncertainty Quantification from Temporal Consistency with Streaming Conformal Calibration for TinyML
- A Stitch in Time Saves Nine: Proactive Self-Refinement for Language Models
- Reliability, Embeddedness, and Agency: A Utility-Driven Mathematical Framework for Agent-Centric AI Adoption
- ONG: One-Shot NMF-based Gradient Masking for Efficient Model Sparsification
- One-Class Intrusion Detection with Dynamic Graphs
- Word Meanings in Transformer Language Models
- E3RG: Building Explicit Emotion-driven Empathetic Response Generation System with Multimodal Large Language Model
- CAMAR: Continuous Actions Multi-Agent Routing
- Multi-source Multimodal Progressive Domain Adaption for Audio-Visual Deception Detection
- Scaling Multi-Agent Epistemic Planning through GNN-Derived Heuristics
- HRS: Hybrid Representation Framework with Scheduling Awareness for Time Series Forecasting in Crowdsourced Cloud-Edge Platforms
- Learning In-context n-grams with Transformers: Sub-n-grams Are Near-stationary Points
- Optimal Condition for Initialization Variance in Deep Neural Networks: An SGD Dynamics Perspective
- Toward Storage-Aware Learning with Compressed Data An Empirical Exploratory Study on JPEG
- Efficient and Verifiable Privacy-Preserving Convolutional Computation for CNN Inference with Untrusted Clouds
- It takes a village to write a book: Mapping anonymous contributions in Stephen Langton's Quaestiones Theologiae
- DEEP-SEA: Deep-Learning Enhancement for Environmental Perception in Submerged Aquatics
- ding-01 :ARG0: An AMR Corpus for Spontaneous French Dialogue
- SIS-Challenge: Event-based Spatio-temporal Instance Segmentation Challenge at the CVPR 2025 Event-based Vision Workshop
- Next Visual Granularity Generation
- When Alignment Hurts: Decoupling Representational Spaces in Multilingual Models
- Morphological classification of eclipsing binary stars using computer vision methods
- A Shift in Perspective on Causality in Domain Generalization
- Vehicle detection from GSV imagery: Predicting travel behaviour for cycling and motorcycling using Computer Vision
- Bridging Human and LLM Judgments: Understanding and Narrowing the Gap
- [Social] Allostasis: Or, How I Learned To Stop Worrying and Love The Noise
- Wavy Transformer
- SocialTrack: Multi-Object Tracking in Complex Urban Traffic Scenes Inspired by Social Behavior
- Randomized PCA Forest for Unsupervised Outlier Detection
- From SALAMANDRA to SALAMANDRATA: BSC Submission for WMT25 General Machine Translation Shared Task
- Online Ensemble Transformer for Accurate Cloud Workload Forecasting in Predictive Auto-Scaling
- CRED-SQL: Enhancing Real-world Large Scale Database Text-to-SQL Parsing through Cluster Retrieval and Execution Description
- Harnessing Group-Oriented Consistency Constraints for Semi-Supervised Semantic Segmentation in CdZnTe Semiconductors
- Short-Term Forecasting of Energy Production and Consumption Using Extreme Learning Machine: A Comprehensive MIMO based ELM Approach
- Constrained Centroid Clustering: A Novel Approach for Compact and Structured Partitioning
- CLAIRE-DSA: Fluoroscopic Image Classification for Quality Assurance of Computer Vision Pipelines in Acute Ischemic Stroke
- Beyond Ethical Alignment: Evaluating LLMs as Artificial Moral Assistants
- Deep Semantic Inference over the Air: An Efficient Task-Oriented Communication System
- DCSCR: A Class-Specific Collaborative Representation based Network for Image Set Classification
- On the Importance of Behavioral Nuances: Amplifying Non-Obvious Motor Noise Under True Empirical Considerations May Lead to Briefer Assays and Faster Classification Processes
- FedUNet: A Lightweight Additive U-Net Module for Federated Learning with Heterogeneous Models
- A Hierarchical Surrogate Model for Efficient Multi-Task Parameter Learning in Closed-Loop Control
- Frequency-Driven Inverse Kernel Prediction for Single Image Defocus Deblurring
- FedSODA: Federated Fine-tuning of LLMs via Similarity Group Pruning and Orchestrated Distillation Alignment
- GTool: Graph Enhanced Tool Planning with Large Language Model
- Quantifying and Alleviating Co-Adaptation in Sparse-View 3D Gaussian Splatting
- Real-Time Sign Language Gestures to Speech Transcription using Deep Learning
- Argos: A Decentralized Federated System for Detection of Traffic Signs in CAVs
- Drifting Away from Truth: GenAI-Driven News Diversity Challenges LVLM-Based Misinformation Detection
- MATPAC++: Enhanced Masked Latent Prediction for Self-Supervised Audio Representation Learning
- BUILDA: A Thermal Building Data Generation Framework for Transfer Learning
- A Unified Cortical Circuit Model with Divisive Normalization and Self-Excitation for Robust Representation and Memory Maintenance
- Neural Rendering for Sensor Adaptation in 3D Object Detection
- TTA-DAME: Test-Time Adaptation with Domain Augmentation and Model Ensemble for Dynamic Driving Conditions
- Refine-and-Contrast: Adaptive Instance-Aware BEV Representations for Multi-UAV Collaborative Object Detection
- Adaptive Model-Predictive Control of a Soft Continuum Robot Using a Physics-Informed Neural Network Based on Cosserat Rod Theory
- Unfolded Laplacian Spectral Embedding: A Theoretically Grounded Approach to Dynamic Network Representation
- Deploying Models to Non-participating Clients in Federated Learning without Fine-tuning: A Hypernetwork-based Approach
- Robust Federated Learning under Adversarial Attacks via Loss-Based Client Clustering
- DIT: Dimension Reduction View on Optimal NFT Rarity Meters
- Leveraging Large Language Models for Predictive Analysis of Human Misery
- WP-CLIP: Leveraging CLIP to Predict W"olfflin's Principles in Visual Art
- Breaking Language Barriers: Equitable Performance in Multilingual Language Models
- The Maximum Coverage Model and Recommendation System for UAV Vertiports Location Planning
- Score-informed Neural Operator for Enhancing Ordering-based Causal Discovery
- Cognitive Structure Generation: From Educational Priors to Policy Optimization
- DyCrowd: Towards Dynamic Crowd Reconstruction from a Large-scene Video
- Learn Faster and Remember More: Balancing Exploration and Exploitation for Continual Test-time Adaptation
- HOMI: Ultra-Fast EdgeAI platform for Event Cameras
- An Online Non-Stationary Simulation Optimization Approach Based on Regime Switching
- Prompt-Induced Linguistic Fingerprints for LLM-Generated Fake News Detection
- Beyond GPT-5: Making LLMs Cheaper and Better via Performance-Efficiency Optimized Routing
- On computing and the complexity of computing higher-order U-statistics, exactly
- How can we trust opaque systems? Criteria for robust explanations in XAI
- A Generalized Genetic Random Field Method for the Genetic Association Analysis of Sequencing Data
- WIPES: Wavelet-based Visual Primitives
- Towards SISO Bistatic Sensing for ISAC
- An LLM + ASP Workflow for Joint Entity-Relation Extraction
- OpenMoCap: Rethinking Optical Motion Capture under Real-world Occlusion
- A Self-Ensemble Inspired Approach for Effective Training of Binary-Weight Spiking Neural Networks
- A Hybrid Surrogate for Electric Vehicle Parameter Estimation and Power Consumption via Physics-Informed Neural Operators
- Constructing 3D Rotational Invariance and Equivariance with Symmetric Tensor Networks
- FLARE: Fast Low-rank Attention Routing Engine
- Physics-informed deep operator network for traffic state estimation
- Beyond Modality Limitations: A Unified MLLM Approach to Automated Speaking Assessment with Effective Curriculum Learning
- Foundation Model for Skeleton-Based Human Action Understanding
- Widening the Network Mitigates the Impact of Data Heterogeneity on FedAvg
- Deep Learning Model for Amyloidogenicity Prediction using a Pre-trained Protein LLM
- Insight Rumors: A Novel Textual Rumor Locating and Marking Model Leveraging Att_BiMamba2 Network
- Structure-preserving Feature Alignment for Old Photo Colorization
- Data-driven particle dynamics: Structure-preserving coarse-graining for emergent behavior in non-equilibrium systems
- Deep Learning-Based Financial Time Series Forecasting via Sliding Window and Variational Mode Decomposition
- Temporal and Rotational Calibration for Event-Centric Multi-Sensor Systems
- Anatomic Feature Fusion Model for Diagnosing Calcified Pulmonary Nodules on Chest X-Ray
- Data-driven Trust Bootstrapping for Mobile Edge Computing-based Industrial IoT Services
- PROD: Palpative Reconstruction of Deformable Objects through Elastostatic Signed Distance Functions