Papers
Fri 12 Dec 2025
287 papers
- CHIME: Chiplet-based Heterogeneous Near-Memory Acceleration for Edge Multimodal LLM InferenceMultimodal LLMs / vision-language models → Visual token pruning and efficiency
- TeleMem: Building Long-Term and Multimodal Memory for Agentic AILLM agents and tool use → Agent memory systems
- LeafTutor: An AI Agent for Programming Assignment TutoringLLM agents and tool use → Educational agents and math problem solving
- Data-Chain Backdoor: Do You Trust Diffusion Models as Generative Data Supplier?Diffusion models → Robustness, privacy and adversarial aspects +1
- LOOPRAG: Enhancing Loop Transformation Optimization with Retrieval-Augmented Large Language ModelsRetrieval-augmented generation → RAG for code
- Shapley-based Data Valuation for LLM Alignment via Sequential Preference OptimizationLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- VERAFI: Verified Agentic Financial Intelligence through Neurosymbolic Policy GenerationRetrieval-augmented generation → Legal and financial RAG +1
- Persistent Backdoor Attacks under Continual Fine-Tuning of LLMsLLM safety and security → Backdoor and data poisoning attacks
- NoveltyRank: A Retrieval-Augmented Framework for Conceptual Novelty Estimation in AI ResearchRetrieval-augmented generation → Agentic RAG, agents and memory
- VEGAS: Mitigating Hallucinations in Large Vision-Language Models via Vision-Encoder Attention Guided Adaptive SteeringMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs
- CLOAK: Contrastive Guidance for Latent Diffusion-Based Data ObfuscationDiffusion models → Robustness, privacy and adversarial aspects
- FloodSQL-Bench: A Retrieval-Augmented Benchmark for Geospatially-Grounded Text-to-SQLLLM reasoning → Knowledge- and tool-augmented reasoning +1
- RePack then Refine: Efficient Diffusion Transformer with Vision Foundation ModelDiffusion models → Diffusion foundations and sampling
- BAgger: Backwards Aggregation for Mitigating Drift in Autoregressive Video Diffusion ModelsWorld models → Video-generation world models and simulators +1
- Rethinking Jailbreak Detection of Large Vision Language Models with Representational Contrastive ScoringLLM reasoning → Reasoning for agents, planning and code +2
- The Instability of Safety: How Random Seeds and Temperature Expose Inconsistent LLM Refusal BehaviorLLM alignment / RLHF / preference optimisation → Safety alignment and jailbreak attacks +1
- CreativeVR: Diffusion-Prior-Guided Approach for Structure and Motion Restoration in Generative and Real VideosDiffusion models → Inverse problems and image restoration
- Goal Reaching with Eikonal-Constrained Hierarchical Quasimetric Reinforcement LearningDeep reinforcement learning methods → Deep RL algorithms and representations
- Benchmarking Contextual Understanding for In-Car Conversational SystemsLLM reasoning → Reasoning benchmarks and evaluation
- Hold Onto That Thought: Assessing KV Cache Compression On ReasoningLLM reasoning → Test-time compute and efficient thinking +1
- Direct Confidence Alignment: Aligning Verbalized Confidence with Internal Confidence In Large Language ModelsLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- V-REX: Benchmarking Exploratory Visual Reasoning via Chain-of-QuestionsLLM reasoning → Multimodal reasoning +1
- Policy Gradient Algorithms for Age-of-Information Cost MinimizationDeep reinforcement learning methods → RL for energy, networks and operations
- Neural Chameleons: Language Models Can Learn to Hide Their Thoughts from Unseen Activation MonitorsLLM reasoning → Prompting and chain-of-thought reasoning
- How AI Agents Follow the Herd of AI? Network Effects, History, and Machine OptimismLLM agents and tool use → Social simulation and multi-agent debate
- AGAPI-Agents: An Open-Access Agentic AI Platform for Accelerated Materials Design on AtomGPT.orgLLM agents and tool use → Medical and scientific domain agents
- The Agentic Regulator: Risks for AI in Finance and a Proposed Agent-based Framework for GovernanceLLM agents and tool use → Financial trading and forecasting agents
- Evolutionary Reinforcement Learning based AI tutor for Socratic Interdisciplinary InstructionDeep reinforcement learning methods → RL training of language and agent models
- AnchorDream: Repurposing Video Diffusion for Embodiment-Aware Robot Data SynthesisWorld models → Embodied and robot world models +2
- Structure From Tracking: Distilling Structure-Preserving Motion for Video GenerationDiffusion models → Video generation
- BLURR: A Boosted Low-Resource Inference for Vision-Language-Action ModelsVision-language-action models → Efficient VLA inference and adaptation
- SVG-T2I: Scaling Up Text-to-Image Latent Diffusion Model Without Variational AutoencoderDiffusion models → Image generation, text-to-image and editing
- Speculative Decoding Speed-of-Light: Optimal Lower Bounds via Branching Random WalksEfficient LLM inference and serving → Speculative decoding
- EditMGT: Unleashing Potentials of Masked Generative Transformers in Image EditingDiffusion models → Image generation, text-to-image and editing
- MedAI: Evaluating TxAgent's Therapeutic Agentic Reasoning in the NeurIPS CURE-Bench CompetitionRetrieval-augmented generation → Medical and biomedical RAG +1
- Cross-modal Context-aware Learning for Visual Prompt Guided Multimodal Image Understanding in Remote SensingLLM reasoning → Spatial and embodied reasoning
- FactorPortrait: Controllable Portrait Animation via Disentangled Expression, Pose, and ViewpointDiffusion models → Audio, speech and music
- Bounding Hallucinations: Merlin-Arthur Protocols for Mutual-Information Bounds in Language ModelsRetrieval-augmented generation → RAG robustness and adaptive retrieval
- Using GUI Agent for Electronic Design AutomationLLM agents and tool use → GUI and mobile agents
- UniBYD: A Unified Framework for Learning Robotic Manipulation Across Embodiments Beyond Imitation of Human DemonstrationsOffline RL and imitation learning from data → Robot manipulation imitation learning +1
- A Study of Library Usage in Agent-Authored Pull RequestsLLM agents and tool use → Software engineering coding agents
- Atomic Action Slicing: Planner-Aligned Options for Generalist VLA AgentsVision-language-action models → Generalist VLA models and benchmarks
- DentalGPT: Incentivizing Multimodal Complex Reasoning in DentistryLLM reasoning → Clinical and biomedical applications +1
- PD-Swap: Prefill-Decode Logic Swapping for End-to-End LLM Inference on Edge FPGAs via Dynamic Partial ReconfigurationEfficient LLM inference and serving → Serving systems and request scheduling
- xGR: Efficient Generative Recommendation Serving at ScaleEfficient LLM inference and serving → KV cache optimization
- Reconstruction as a Bridge for Event-Based Visual Question AnsweringMultimodal LLMs / vision-language models → Video understanding with MLLMs
- EmeraldMind: A Knowledge Graph-Augmented Framework for Greenwashing DetectionLLM agents and tool use → Web, search, and research agents
- TSkel-Mamba: Temporal Dynamic Modeling via State Space Model for Human Skeleton-based Action RecognitionState-space sequence models (S4, Mamba) → Video, motion and generative Mamba models
- Mistake Notebook Learning: Batch-Clustered Failures for Training-Free Agent AdaptationLLM agents and tool use → General LLM agent frameworks and benchmarks
- Rethinking Expert Trajectory Utilization in LLM Post-training for Mathematical ReasoningLLM reasoning → Reinforcement learning for reasoning
- Exploring MLLM-Diffusion Information Transfer with MetaCanvasMultimodal LLMs / vision-language models → Image editing and quality assessment
- Flowception: Temporally Expansive Flow Matching for Video GenerationDiffusion models → Video generation
- AgentBalance: Backbone-then-Topology Design for Cost-Effective Multi-Agent Systems under Budget ConstraintsLLM agents and tool use → General LLM agent frameworks and benchmarks
- Towards Trustworthy Multi-Turn LLM Agents via Behavioral GuidanceLLM reasoning → Reasoning for agents, planning and code +1
- Minimal Clips, Maximum Salience: Long Video Summarization via Key Moment ExtractionMultimodal LLMs / vision-language models → Video understanding with MLLMs
- AutoFSM: A Multi-agent Framework for FSM Code Generation with IR and SystemC-Based TestingLLM agents and tool use → Software engineering coding agents
- FlowDC: Flow-Based Decoupling-Decay for Complex Image EditingDiffusion models → Image generation, text-to-image and editing
- Mitigating the Safety Alignment Tax with Null-Space Constrained Policy OptimizationLLM alignment / RLHF / preference optimisation → Safety alignment and jailbreak attacks
- An Anatomy of Vision-Language-Action Models: From Modules to Milestones and ChallengesVision-language-action models → Generalist VLA models and benchmarks
- Incremental Validation of Automated Driving Functions using Generic Volumes in Micro- Operational Design DomainsEnd-to-end autonomous driving → Adversarial scenarios and safety testing
- PhraseVAE and PhraseLDM: Latent Diffusion for Full-Song Multitrack Symbolic Music GenerationDiffusion models → Audio, speech and music
- Symmetry-Aware Steering of Equivariant Diffusion Policies: Benefits and LimitsDiffusion models → Diffusion and flow policies for robotics
- DAPO: Design Structure-Aware Pass Ordering in High-Level Synthesis with Graph Contrastive and Reinforcement LearningDeep reinforcement learning methods → RL for energy, networks and operations
- UFVideo: Towards Unified Fine-Grained Video Cooperative Understanding with Large Language ModelsMultimodal LLMs / vision-language models → Video understanding with MLLMs
- Robust MLLM Unlearning via Visual Knowledge DistillationLLM safety and security → Machine unlearning +1
- CAPTURE: A Benchmark and Evaluation for LVLMs in CAPTCHA ResolvingLLM reasoning → Multimodal reasoning +1
- Benchmarking the Generality of Vision-Language-Action ModelsVision-language-action models → Generalist VLA models and benchmarks
- Unifying Dynamic Tool Creation and Cross-Task Experience Sharing through Cognitive Memory ArchitectureLLM agents and tool use → Agent memory systems
- AdaSD: Adaptive Speculative Decoding for Efficient Language Model InferenceEfficient LLM inference and serving → Speculative decoding
- When Actions Teach You to Think: Reasoning-Action Synergy via Reinforcement Learning in Conversational AgentsLLM reasoning → Reinforcement learning for reasoning +1
- Towards Logic-Aware Manipulation: A Knowledge Primitive for VLM-Based Assistants in Smart ManufacturingMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- TriFlow: A Progressive Multi-Agent Framework for Intelligent Trip PlanningLLM agents and tool use → General LLM agent frameworks and benchmarks
- A-LAMP: Agentic LLM-Based Framework for Automated MDP Modeling and Policy GenerationLLM agents and tool use → Reinforcement learning for LLM agents
- Features Emerge as Discrete States: The First Application of SAEs to 3D RepresentationsMechanistic interpretability → Sparse autoencoder training and evaluation
- Multi-Objective Reinforcement Learning for Large-Scale Mixed Traffic ControlDeep reinforcement learning methods → RL for autonomous driving and traffic
- REST: Diffusion-based Real-time End-to-end Streaming Talking Head Generation via ID-Context Caching and Asynchronous Streaming DistillationDiffusion models → Audio, speech and music
- FutureX: Enhance End-to-End Autonomous Driving via Latent Chain-of-Thought World ModelWorld models → World models for autonomous driving +2
- VFMF: World Modeling by Forecasting Vision Foundation Model FeaturesWorld models → Video-generation world models and simulators
- Adaptive Soft Rolling KV Freeze with Entropy-Guided Recovery: Sublinear Memory Growth for Efficient LLM InferenceEfficient LLM inference and serving → KV cache optimization
- Seeing to Act, Prompting to Specify: A Bayesian Factorization of Vision Language Action PolicyMultimodal LLMs / vision-language models → Embodied and 3D vision-language models +1
- SmokeBench: Evaluating Multimodal Large Language Models for Wildfire Smoke DetectionMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- FutureWeaver: Planning Test-Time Compute for Multi-Agent Systems with Modularized CollaborationLLM reasoning → Reasoning for agents, planning and code +1
- AutoRefiner: Improving Autoregressive Video Diffusion Models via Reflective Refinement Over the Stochastic Sampling PathDiffusion models → Video generation
- Beyond Memorization: Selective Learning for Copyright-Safe Diffusion Model TrainingDiffusion models → Robustness, privacy and adversarial aspects
- Operation Veja: Fixing Fundamental Concepts Missing from Modern Roleplaying Training Paradigms
- TrueBrief: Faithful Summarization through Small Language Models
- Forecasting N-Body Dynamics: A Comparative Study of Neural Ordinary Differential Equations and Universal Differential Equations
- Flow Gym: A framework for the development, benchmarking, training, and deployment of flow-field quantification methods
- Generative AI for Analysts
- A 96pJ/Frame/Pixel and 61pJ/Event Anti-UAV System with Hybrid Object Tracking Modes
- PHANTOM: Progressive High-fidelity Adversarial Network for Threat Object Modeling
- Bridging Data and Physics: A Graph Neural Network-Based Hybrid Twin Framework
- AdaGradSelect: An adaptive gradient-guided layer selection method for efficient fine-tuning of SLMs
- Cross-Sample Augmented Test-Time Adaptation for Personalized Intraoperative Hypotension Prediction
- Machine Learning Framework for Thrombosis Risk Prediction in Rotary Blood Pumps
- A Tutorial on Dimensionless Learning: Geometric Interpretation and the Effect of Noise
- Semantic-Constrained Federated Aggregation: Convergence Theory and Privacy-Utility Bounds for Knowledge-Enhanced Distributed Learning
- Yantra AI -- An intelligence platform which interacts with manufacturing operations
- Twin Restricted Kernel Machines for Multiview Classification
- Scientific feedback reveals productive regimes beyond training conventions
All 287
- KAN-Matrix: Visualizing Nonlinear Pairwise and Multivariate Contributions for Physical Insight
- Factor(U,T): Controlling Untrusted AI by Monitoring their Plans
- Quantum-Augmented AI/ML for O-RAN: Hierarchical Threat Detection with Synergistic Intelligence and Interpretability (Technical Report)
- GraphPerf-RT: A Graph-Driven Performance Model for Hardware-Aware Scheduling of OpenMP Codes
- SPDMark: Selective Parameter Displacement for Robust Video Watermarking
- Reliable Policy Iteration: Performance Robustness Across Architecture and Environment Perturbations
- BLASST: Dynamic BLocked Attention Sparsity via Softmax Thresholding
- Congestion Reduction in EV Charger Placement Using Traffic Equilibrium Models
- SigTime: Learning and Visually Explaining Time Series Signatures
- Evaluation of Sampling Strategies and Physics-Informed Kolmogorov--Arnold Networks in Unbounded Domains
- VOYAGER: A Training Free Approach for Generating Diverse Datasets using LLMs
- Instruction-Tuning Open-Weight Language Models for BPMN Model Generation
- The Forecast Critic: Leveraging Large Language Models for Poor Forecast Identification
- Enhancing deep learning performance on burned area delineation from SPOT-6/7 imagery for emergency management
- Adaptive federated learning for ship detection across diverse satellite imagery sources
- Context-Aware Agentic Power Resources Optimisation in EV using Smart2ChargeApp
- AI as a Teaching Partner: Early Lessons from Classroom Codesign with Secondary Teachers
- DFedReweighting: A Unified Framework for Objective-Oriented Reweighting in Decentralized Federated Learning
- Exploring Spatial-Temporal Representation via Star Graph for mmWave Radar-based Human Activity Recognition
- Semantic-Drive: Democratizing Long-Tail Data Curation via Open-Vocabulary Grounding and Neuro-Symbolic VLM Consensus
- EnviroLLM: Resource Tracking and Optimization for Local AI
- Adversarial Attacks Against Deep Learning-Based Radio Frequency Fingerprint Identification
- Log Anomaly Detection with Large Language Models via Knowledge-Enriched Fusion
- CARI4D: Category Agnostic 4D Reconstruction of Human-Object Interaction
- Learning to Extract Context for Context-Aware LLM Inference
- Evidence-Driven Decision Support for AI Model Selection in Research Software Engineering
- Semantic search for 100M+ galaxy images using AI-generated captions
- Designing The Internet of Agents: A Framework for Trustworthy, Transparent, and Collaborative Human-Agent Interaction (HAX)
- A Comparative Analysis of Semiconductor Wafer Map Defect Detection with Image Transformer
- Pre-training vision models for the classification of alerts from wide-field time-domain surveys
- Global Sensitivity Analysis for Engineering Design Based on Individual Conditional Expectations
- Interval Fisher's Discriminant Analysis and Visualisation
- A Review of Learning-Based Motion Planning: Toward a Data-Driven Optimal Control Approach
- Hypergame Rationalisability: Solving Agent Misalignment In Strategic Play
- DynaPURLS: Dynamic Refinement of Part-Aware Representations for Skeleton-Based Zero-Shot Action Recognition
- Contextual Peano Scan and Fast Image Segmentation Using Hidden and Evidential Markov Chains
- Unveiling User Perceptions in the Generative AI Era: A Sentiment-Driven Evaluation of AI Educational Apps' Role in Digital Transformation of e-Teaching
- Mapping AI Risk Mitigations: Evidence Scan and Preliminary AI Risk Mitigation Taxonomy
- MONET -- Virtual Cell Painting of Brightfield Images and Time Lapses Using Reference Consistent Diffusion
- Gene regulatory network inference algorithm based on spectral signed directed graph convolution
- TransBridge: Boost 3D Object Detection by Scene-Level Completion with Transformer Decoder
- Moment-Based 3D Gaussian Splatting: Resolving Volumetric Occlusion with Order-Independent Transmittance
- V-RGBX: Video Editing with Accurate Controls over Intrinsic Properties
- Particulate: Feed-Forward 3D Object Articulation
- A General Algorithm for Detecting Higher-Order Interactions via Random Sequential Additions
- Uncertainty-Aware Domain Adaptation for Vitiligo Segmentation in Clinical Photographs
- Softmax as Linear Attention in the Large-Prompt Regime: a Measure-based Perspective
- Super Suffixes: Bypassing Text Generation Alignment and Guard Models Simultaneously
- MatAnyone 2: Scaling Video Matting via a Learned Quality Evaluator
- Agile Flight Emerges from Multi-Agent Competitive Racing
- Conditional Coverage Diagnostics for Conformal Prediction
- The Adaptive Vekua Cascade: A Differentiable Spectral-Analytic Solver for Physics-Informed Representation
- Smudged Fingerprints: A Systematic Evaluation of the Robustness of AI Image Fingerprints
- Learning Minimal Representations of Fermionic Ground States
- Reducing Domain Gap with Diffusion-Based Domain Adaptation for Cell Counting
- Covariate-assisted graph matching
- SpectralKrum: A Spectral-Geometric Defense Against Byzantine Attacks in Federated Learning
- SUMFORU: An LLM-Based Review Summarization Framework for Personalized Purchase Decision Support
- LUCID: Learning-Enabled Uncertainty-Aware Certification of Stochastic Dynamical Systems
- Generative Parametric Design (GPD): A framework for real-time geometry generation and on-the-fly multiparametric approximation
- mViSE: A Visual Search Engine for Analyzing Multiplex IHC Brain Tissue Images
- CogniSNN: Enabling Neuron-Expandability, Pathway-Reusability, and Dynamic-Configurability with Random Graph Architectures in Spiking Neural Networks
- ECCO: Leveraging Cross-Camera Correlations for Efficient Live Video Continuous Learning
- From Signal to Turn: Interactional Friction in Modular Speech-to-Speech Pipelines
- Weak-to-Strong Generalization Enables Fully Automated De Novo Training of Multi-head Mask-RCNN Model for Segmenting Densely Overlapping Cell Nuclei in Multiplex Whole-slice Brain Images
- Reframing Music-Driven 2D Dance Pose Generation as Multi-Channel Image Generation
- Referring Change Detection in Remote Sensing Imagery
- High-Dimensional Surrogate Modeling for Closed-Loop Learning of Neural-Network-Parameterized Model Predictive Control
- Particle Image Velocimetry Refinement via Consensus ADMM for Active Fluid Control
- Text images processing system using artificial intelligence models
- Stable spectral neural operator for learning stiff PDE systems from limited data
- Depth-Copy-Paste: Multimodal and Depth-Aware Compositing for Robust Face Detection
- Stochastics of shapes and Kunita flows
- Bridging Streaming Continual Learning via In-Context Large Tabular Models
- From Verification Burden to Trusted Collaboration: Design Goals for LLM-Assisted Literature Reviews
- Kinetic Mining in Context: Few-Shot Action Synthesis via Text-to-Motion Distillation
- Causal Inference in Energy Demand Prediction
- Automating Historical Insight Extraction from Large-Scale Newspaper Archives via Neural Topic Modeling
- Fast and Explicit: Slice-to-Volume Reconstruction via 3D Gaussian Primitives with Analytic Point Spread Function Modeling
- A Fast Interpretable Fuzzy Tree Learner
- Embodied Image Compression
- Neural Network-based Partial-Linear Single-Index Models for Environmental Mixtures Analysis
- AI Benchmark Democratization and Carpentry
- Gradient Descent as a Perceptron Algorithm: Understanding Dynamics and Implicit Acceleration
- Brain-Semantoks: Learning Semantic Tokens of Brain Dynamics with a Self-Distilled Foundation Model
- Safe Bayesian optimization across noise models via scenario programming
- In-Context Learning for Seismic Data Processing
- Evaluating Foundation Models' 3D Understanding Through Multi-View Correspondence Analysis
- Visualizing token importance for black-box language models
- Extending a Parliamentary Corpus with MPs' Tweets: Automatic Annotation and Evaluation Using MultiParTweet
- View Space: Learning Representation across Arbitrary Graphs
- Multi-temporal Calving Front Segmentation
- 3DTeethSAM: Taming SAM2 for 3D Teeth Segmentation
- SSL-MedSAM2: A Semi-supervised Medical Image Segmentation Framework Powered by Few-shot Learning of SAM2
- Elastic-Net Multiple Kernel Learning: Combining Multiple Data Sources for Prediction
- Optimizing the Training Diet: Data Mixture Search for Robust Time Series Forecasting
- Graph Embedding with Mel-spectrograms for Underwater Acoustic Target Recognition
- AI-MASLD Metabolic Dysfunction and Information Steatosis of Large Language Models in Unstructured Clinical Narratives
- Infinity and Beyond: Compositional Alignment in VAR and Diffusion T2I Models
- A Multi-Criteria Automated MLOps Pipeline for Cost-Effective Cloud-Based Classifier Retraining in Response to Data Distribution Shifts
- HFS: Holistic Query-Aware Frame Selection for Efficient Video Understanding
- Parallax: Runtime Parallelization for Operator Fallbacks in Heterogeneous Edge Systems
- Parametric Numerical Integration with (Differential) Machine Learning
- Contrastive Time Series Forecasting with Anomalies
- NeuralOGCM: Differentiable Ocean Modeling with Learnable Physics
- Super-Resolved Canopy Height Mapping from Sentinel-2 Time Series Using Airborne LiDAR HD Reference Data across Metropolitan France
- Does Less Hallucination Mean Less Creativity? An Empirical Investigation in LLMs
- On Geometric Understanding and Learned Priors in Feed-forward 3D Reconstruction Models
- SSA3D: Text-Conditioned Assisted Self-Supervised Framework for Automatic Dental Abutment Design
- BAID: A Benchmark for Bias Assessment of AI Detectors
- Building Patient Journeys in Hebrew: A Language Model for Clinical Timeline Extraction
- FRQI Pairs method for image classification using Quantum Recurrent Neural Network
- VLM2GeoVec: Toward Universal Multimodal Embeddings for Remote Sensing
- Capacitive Touchscreens at Risk: Recovering Handwritten Trajectory on Smartphone via Electromagnetic Emanations
- Towards Privacy-Preserving Code Generation: Differentially Private Code Language Models
- CADMorph: Geometry-Driven Parametric CAD Editing via a Plan-Generate-Verify Loop
- General-purpose AI models can generate actionable knowledge on agroecological crop protection
- Three methods, one problem: Classical and AI approaches to no-three-in-line
- DOS: Distilling Observable Softmaps of Zipfian Prototypes for Self-Supervised Point Representation
- Boosting Skeleton-based Zero-Shot Action Recognition with Training-Free Test-Time Adaptation
- Hyperbolic Gaussian Blurring Mean Shift: A Statistical Mode-Seeking Framework for Clustering in Curved Spaces
- YawDD+: Frame-level Annotations for Accurate Yawn Prediction
- CLINIC: Evaluating Multilingual Trustworthiness in Language Models for Healthcare
- Back to the Baseline: Examining Baseline Effects on Explainability Metrics
- JoyStreamer-Flash: Real-time and Infinite Audio-Driven Avatar Generation with Autoregressive Diffusion
- Emergence of Nonequilibrium Latent Cycles in Unsupervised Generative Modeling
- Task-Specific Sparse Feature Masks for Molecular Toxicity Prediction with Chemical Language Models
- Sliced ReLU attention: Quasi-linear contextual expressivity via sorting
- REMODEL-LLM: Transforming C code to Java using LLMs
- Collaborative Reconstruction and Repair for Multi-class Industrial Anomaly Detection
- The N-Body Problem: Parallel Execution from Single-Person Egocentric Video
- Bhargava Cube--Inspired Quadratic Regularization for Structured Neural Embeddings
- Improving Translation Quality by Selecting Better Data for LLM Fine-Tuning: A Comparative Analysis
- Mining Legal Arguments to Study Judicial Formalism
- Out-of-Distribution Segmentation via Wasserstein-Based Evidential Uncertainty
- Assisted Refinement Network Based on Channel Information Interaction for Camouflaged and Salient Object Detection
- Maritime object classification with SAR imagery using quantum kernel methods
- qa-FLoRA: Data-free query-adaptive Fusion of LoRAs for LLMs
- Reliable Detection of Minute Targets in High-Resolution Aerial Imagery across Temporal Shifts
- Attacking and Securing Community Detection: A Game-Theoretic Framework
- Prior-Enhanced Gaussian Splatting for Dynamic Scene Reconstruction from Casual Video
- A Multi-Mode Structured Light 3D Imaging System with Multi-Source Information Fusion for Underwater Pipeline Detection
- CAT: Can Trust be Predicted with Context-Awareness in Dynamic Heterogeneous Networks?
- Surveillance Video-Based Traffic Accident Detection Using Transformer Architecture
- Task-Specific Distance Correlation Matching for Few-Shot Action Recognition
- FreqDINO: Frequency-Guided Adaptation for Generalized Boundary-Aware Ultrasound Image Segmentation
- Spectral entropy prior-guided deep feature fusion architecture for magnetic core loss
- Pace: Physics-Aware Attentive Temporal Convolutional Network for Battery Health Estimation
- Physics-Informed Video Flare Synthesis and Removal Leveraging Motion Independence between Flare and Scene
- KeyframeFace: Language-Driven Facial Animation via Semantic Keyframes
- SATMapTR: Satellite Image Enhanced Online HD Map Construction
- Condensation-Concatenation Framework for Dynamic Graph Continual Learning
- QGEC : Quantum Golay Code Error Correction
- MultiEgo: A Multi-View Egocentric Video Dataset for 4D Scene Reconstruction
- SRLR: Symbolic Regression based Logic Recovery to Counter Programmable Logic Controller Attacks
- LegalRikai: Open Benchmark -- Benchmark for Complex Japanese Corporate Legal Tasks
- Few-Shot VLM-Based G-Code and HMI Verification in CNC Machining
- AI Autonomy Coefficient (α): Defining Boundaries for Responsible AI Systems
- Autoregressive Video Autoencoder with Decoupled Temporal and Spatial Context
- RcAE: Recursive Reconstruction Framework for Unsupervised Industrial Anomaly Detection
- CIP: A Plug-and-Play Causal Prompting Framework for Mitigating Hallucinations under Long-Context Noise
- Words to Describe What I'm Feeling: Exploring the Potential of AI Agents for High Subjectivity Decisions in Advance Care Planning
- FilmWeaver: Weaving Consistent Multi-Shot Videos with Cache-Guided Autoregressive Diffusion
- Integrated Prediction and Multi-period Portfolio Optimization
- A Scalable Multi-GPU Framework for Encrypted Large-Model Inference
- Evaluating the Efficacy of Sentinel-2 versus Aerial Imagery in Serrated Tussock Classification
- Leveraging LLMs for Title and Abstract Screening for Systematic Review: A Cost-Effective Dynamic Few-Shot Learning Approach
- Do We Need Reformer for Vision? An Experimental Comparison with Vision Transformers
- Multi-Intent Spoken Language Understanding: Methods, Trends, and Challenges
- A Simple Generalisation of the Implicit Dynamics of In-Context Learning
- PersonaLive! Expressive Portrait Image Animation for Live Streaming
- Insight Miner: A Time Series Analysis Dataset for Cross-Domain Alignment with Natural Language
- Task-Aware Multi-Expert Architecture For Lifelong Deep Learning
- Cross-modal Prompting for Balanced Incomplete Multi-modal Emotion Recognition
- WildCap: Facial Albedo Capture in the Wild via Hybrid Inverse Rendering
- RoomPilot: Controllable Indoor Scene Synthesis via Multimodal Semantic Parsing
- Latent Variable Causal Discovery under Selection Bias
- amc: The Automated Mission Classifier for Telescope Bibliographies
- Fast EXP3 Algorithms
- Theoretical Foundations of GPU-Native Compilation for Rapid Code Iteration
- CADKnitter: Compositional CAD Generation from Text and Geometry Guidance
- SciLaD: A Large-Scale, Transparent, Reproducible Dataset for Natural Scientific Language Processing
- Multi-task Learning with Extended Temporal Shift Module for Temporal Action Localization
- Deep Learning--Accelerated Multi-Start Large Neighborhood Search for Real-time Freight Bundling
- Lightweight 3D Gaussian Splatting Compression via Video Codec
- On the failure of ReLU activation for physics-informed machine learning
- Progress over Points: Reframing LM Benchmarks Around Scientific Objectives