Papers
Tue 10 Mar 2026
492 papers
- ECHO: Elastic Speculative Decoding with Sparse Gating for High-Concurrency ScenariosEfficient LLM inference and serving → Speculative decoding
- BLK-Assist: A Methodological Framework for Artist-Led Co-Creation with Generative AI ModelsDiffusion models → Image generation, text-to-image and editing
- Think Twice Before You Write -- an Entropy-based Decoding Strategy to Enhance LLM ReasoningLLM reasoning → Test-time compute and efficient thinking
- C2F-Thinker: Coarse-to-Fine Reasoning with Hint-Guided Reinforcement Learning for Multimodal Sentiment AnalysisLLM reasoning → Audio-language model reasoning
- Finding and Reactivating Post-Trained LLMs' Hidden Safety MechanismsLLM reasoning → Reasoning for agents, planning and code
- Interview-Informed Generative Agents for Product Discovery: A Validation StudyLLM agents and tool use → General LLM agent frameworks and benchmarks
- Operationalizing Perceptions of Agent Gender: Foundations and GuidelinesLLM agents and tool use → Social simulation and multi-agent debate
- LLM-MRD: LLM-Guided Multi-View Reasoning Distillation for Fake News DetectionLLM reasoning → Multimodal reasoning +1
- Semantic Chameleon: Corpus-Dependent Poisoning Attacks and Defenses in RAG SystemsRetrieval-augmented generation → Privacy and security of RAG
- Geometry-Aware Semantic Reasoning for Training Free Video Anomaly DetectionLLM reasoning → Chain-of-thought reasoning for driving
- Quality-Driven Agentic Reasoning for LLM-Assisted Software Design: Questions-of-Thoughts (QoT) as a Time-Series Self-QA ChainLLM reasoning → Reasoning for agents, planning and code +1
- SELF-VLA: A Skill Enhanced Agentic Vision-Language-Action Framework for Contact-Rich DisassemblyVision-language-action models → Generalist VLA models and benchmarks +1
- CR-Bench: Evaluating the Real-World Utility of AI Code Review AgentsLLM agents and tool use → Software engineering coding agents
- DIVE: Scaling Diversity in Agentic Task Synthesis for Generalizable Tool UseLLM agents and tool use → Tool learning and function calling
- Context Before Code: An Experience Report on Vibe Coding in PracticeRetrieval-augmented generation → RAG for code
- Taming Score-Based Denoisers in ADMM: A Convergent Plug-and-Play FrameworkDiffusion models → Diffusion foundations and sampling
- Robust Post-Training for Generative Recommenders: Why Exponential Reward-Weighted SFT Outperforms RLHFLLM alignment / RLHF / preference optimisation → Preference alignment for recommenders and RAG
- SpecOps: A Fully Automated AI Agent Testing Framework in Real-World GUI EnvironmentsLLM agents and tool use → Software engineering coding agents
- From Prior to Pro: Efficient Skill Mastery via Distribution Contractive RL FinetuningDeep reinforcement learning methods → RL for robot locomotion and manipulation
- Improving TabPFN's Synthetic Data Generation by Integrating Causal StructureSynthetic data and self-improvement for LLMs → Privacy-preserving tabular data synthesis
- GeMPO: Generalized Measure Matching for Online Diffusion Reinforcement LearningDiffusion models → Diffusion and flow policies for robotics +1
- DUCTILE: Agentic LLM Orchestration of Engineering Analysis in Product Development PracticeLLM agents and tool use → Software engineering coding agents
- GR-SAP: Generative Replay for Safety Alignment Preservation during Fine-TuningLLM alignment / RLHF / preference optimisation → Safety alignment and jailbreak attacks +1
- Rethinking the Harmonic Loss via Non-Euclidean Distance LayersLLM reasoning → Multimodal reasoning
- A Diffusion Analysis of Policy Gradient for Stochastic BanditsDeep reinforcement learning methods → RL theory and sample complexity
- Sabi'a-4 Technical ReportLLM agents and tool use → General LLM agent frameworks and benchmarks
- Delta-K: Boosting Multi-Instance Generation via Cross-Attention AugmentationDiffusion models → Image generation, text-to-image and editing
- Actor-Accelerated Policy Dual Averaging for Reinforcement Learning in Continuous Action SpacesDeep reinforcement learning methods → RL theory and sample complexity
- MCP-in-SoS: Risk assessment framework for open-source MCP serversLLM agents and tool use → Agent threats, guardrails and governance
- Video-Based Reward Modeling for Computer-Use AgentsLLM agents and tool use → GUI and mobile agents +1
- Calibration-Reasoning Framework for Descriptive Speech Quality AssessmentLLM reasoning → Audio-language model reasoning
- OpenClaw-RL: Train Any Agent Simply by TalkingLLM agents and tool use → Reinforcement learning for LLM agents
- Compatibility at a Cost: Systematic Discovery and Exploitation of MCP Clause-Compliance VulnerabilitiesLLM agents and tool use → Agent threats, guardrails and governance
- Cross-Hand Latent Representation for Vision-Language-Action ModelsVision-language-action models → Human-video and latent-action pretraining
- Reason and Verify: A Framework for Faithful Retrieval-Augmented GenerationLLM reasoning → Knowledge- and tool-augmented reasoning +1
- Agentic Control Center for Data Product OptimizationLLM agents and tool use → Web, search, and research agents
- AR-VLA: True Autoregressive Action Expert for Vision-Language-Action ModelsVision-language-action models → Efficient VLA inference and adaptation
- CLIPO: Contrastive Learning in Policy Optimization Generalizes RLVRLLM reasoning → Reinforcement learning for reasoning
- Code-Space Response Oracles: Generating Interpretable Multi-Agent Policies with Large Language ModelsLLM agents and tool use → Reinforcement learning for LLM agents
- Equivariant Asynchronous Diffusion: An Adaptive Denoising Schedule for Accelerated Molecular Conformation GenerationDiffusion models → Flow matching, time series and science
- Execution Is the New Attack Surface: Survivability-Aware Agentic Crypto Trading with OpenClaw-Style Local ExecutorsLLM agents and tool use → Agent threats, guardrails and governance
- Multi-Stream Perturbation Attack: Breaking Safety Alignment of Thinking LLMs Through Concurrent Task InterferenceLLM reasoning → Reasoning for agents, planning and code +2
- KernelSkill: A Multi-Agent Framework for GPU Kernel OptimizationLLM agents and tool use → Software engineering coding agents
- Amnesia: Adversarial Semantic Layer Specific Activation Steering in Large Language ModelsLLM safety and security → Jailbreaking +1
- Dissecting Chronos: Sparse Autoencoders Reveal Causal Feature Hierarchies in Time Series Foundation ModelsMechanistic interpretability → Interpreting time-series and weather models
- Improving Search Agent with One Line of CodeLLM agents and tool use → Reinforcement learning for LLM agents
- ADVERSA: Measuring Multi-Turn Guardrail Degradation and Judge Reliability in Large Language ModelsLLM safety and security → Safety alignment, refusal and guardrails
- From Data Statistics to Feature Geometry: How Correlations Shape SuperpositionMechanistic interpretability → Sparse autoencoder training and evaluation
- ReCoSplat: Online Feed-Forward Gaussian Splatting via Render-and-CompareEfficient LLM inference and serving → Fast autoregressive visual generation
- Think Before You Lie: How Reasoning Leads to HonestyLLM reasoning → Prompting and chain-of-thought reasoning
- When Learning Rates Go Wrong: Early Structural Signals in PPO Actor-CriticDeep reinforcement learning methods → RL theory and sample complexity
- Adaptive Clinical-Aware Latent Diffusion for Multimodal Brain Image Generation and Missing Modality ImputationDiffusion models → Medical imaging and segmentation
- MedMASLab: A Unified Orchestration Framework for Benchmarking Multimodal Medical Multi-Agent SystemsLLM agents and tool use → Medical and scientific domain agents
- Thinking to Recall: How Reasoning Unlocks Parametric Knowledge in LLMsLLM reasoning → Reasoning benchmarks and evaluation
- Overview of the TREC 2025 Retrieval Augmented Generation (RAG) TrackRetrieval-augmented generation → RAG pipeline design and evaluation
- Influencing LLM Multi-Agent Dialogue via Policy-Parameterized PromptsLLM agents and tool use → General LLM agent frameworks and benchmarks
- InternVL-U: Democratizing Unified Multimodal Models for Understanding, Reasoning, Generation and EditingLLM reasoning → Multimodal reasoning
- The Bureaucracy of Speed: Structural Equivalence Between Memory Consistency Models and Multi-Agent Authorization RevocationLLM agents and tool use → Agent threats, guardrails and governance
- RecThinker: An Agentic Framework for Tool-Augmented Reasoning in RecommendationLLM reasoning → LLM reasoning for recommendation +1
- Chow-Liu Ordering for Long-Context Reasoning in Chain-of-AgentsLLM reasoning → Reasoning for agents, planning and code +1
- Prompt-Driven Color Accessibility Evaluation in Diffusion-based Image Generation ModelsDiffusion models → Image generation, text-to-image and editing
- VLM-Loc: Localization in Point Cloud Maps via Vision-Language ModelsMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- One-Eval: An Agentic System for Automated and Traceable LLM EvaluationLLM agents and tool use → General LLM agent frameworks and benchmarks
- ConfCtrl: Enabling Precise Camera Control in Video Diffusion via Confidence-Aware InterpolationDiffusion models → 3D, point cloud and scene generation
- Good Reasoning Makes Good Demonstrations: Implicit Reasoning Quality Supervision via In-Context Reinforcement LearningLLM reasoning → Reinforcement learning for reasoning
- Quantifying the Necessity of Chain of Thought through Opaque Serial DepthLLM reasoning → Prompting and chain-of-thought reasoning
- World2Mind: Cognition Toolkit for Allocentric Spatial Reasoning in Foundation ModelsLLM reasoning → Spatial and embodied reasoning
- Ego: Embedding-Guided Personalization of Vision-Language ModelsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- Long-Run Conditional Value-at-Risk Reinforcement LearningDeep reinforcement learning methods → RL theory and sample complexity
- EXPLORE-Bench: Egocentric Scene Prediction with Long-Horizon ReasoningLLM reasoning → Spatial and embodied reasoning +1
- RbtAct: Rebuttal as Supervision for Actionable Review Feedback GenerationLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
- FrameDiT: Diffusion Transformer with Matrix Attention for Efficient Video GenerationDiffusion models → Video generation
- AutoAgent: Evolving Cognition and Elastic Memory Orchestration for Adaptive AgentsLLM agents and tool use → Agent memory systems
- OOD-MMSafe: Advancing MLLM Safety from Harmful Intent to Hidden ConsequencesMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness +2
- Evaluation of LLMs in retrieving food and nutritional context for RAG systemsRetrieval-augmented generation → Time series and agricultural RAG
- ActiveUltraFeedback: Efficient Preference Data Generation using Active LearningLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- EsoLang-Bench: Evaluating Genuine Reasoning in Large Language Models via Esoteric Programming LanguagesLLM reasoning → Reasoning for agents, planning and code
- When to Lock Attention: Training-Free KV Control in Video DiffusionDiffusion models → Video generation
- MM-tau-p2: Persona-Adaptive Prompting for Robust Multi-Modal Agent Evaluation in Dual-Control SettingsLLM agents and tool use → Social simulation and multi-agent debate
- PRECEPT: Planning Resilience via Experience, Context Engineering & Probing Trajectories A Unified Framework for Test-Time Adaptation with Compositional Rule Learning and Pareto-Guided Prompt EvolutionLLM agents and tool use → Agent memory systems
- Grounding Synthetic Data Generation With Vision and Language ModelsSynthetic data and self-improvement for LLMs → Self-improving MLLMs and synthetic data
- Decoder-Free Distillation for Quantized Image RestorationKnowledge distillation → General knowledge distillation methods
- Preparing Students for AI-Driven Agile Development: A Project-Based AI Engineering CurriculumLLM agents and tool use → Software engineering coding agents
- BinaryAttention: One-Bit QK-Attention for Vision and Diffusion TransformersDiffusion models → Video generation
- SCDP: Learning Humanoid Locomotion from Partial Observations via Mixed-Observation DistillationDiffusion models → Diffusion and flow policies for robotics
- More than the Sum: Panorama-Language Models for Adverse Omni-ScenesMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- GeoAlignCLIP: Enhancing Fine-Grained Vision-Language Alignment in Remote Sensing via Multi-Granular Consistency LearningMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- ALARM: Audio-Language Alignment for Reasoning ModelsLLM reasoning → Audio-language model reasoning
- GeoSolver: Scaling Test-Time Reasoning in Remote Sensing with Fine-Grained Process SupervisionLLM reasoning → Spatial and embodied reasoning +1
- NS-VLA: Towards Neuro-Symbolic Vision-Language-Action ModelsVision-language-action models → Generalist VLA models and benchmarks
- Towards Unified Multimodal Interleaved Generation via Group Relative Policy OptimizationLLM reasoning → Multimodal reasoning +1
- Dynamic Multimodal Expression Generation for LLM-Driven Pedagogical Agents: From User Experience PerspectiveLLM agents and tool use → Educational agents and math problem solving
- Efficiently Aligning Draft Models via Parameter- and Data-Efficient AdaptationEfficient LLM inference and serving → Speculative decoding
- Beyond Short-Horizon: VQ-Memory for Robust Long-Horizon Manipulation in Non-Markovian Simulation BenchmarksVision-language-action models → Reasoning and chain-of-thought in VLA
- Probing the Reliability of Driving VLMs: From Inconsistent Responses to Grounded Temporal ReasoningLLM reasoning → Chain-of-thought reasoning for driving +1
- A Fast Solver for Interpolating Stochastic Differential Equation Diffusion Models for Speech RestorationDiffusion models → Audio, speech and music
- Context-Nav: Context-Driven Exploration and Viewpoint-Aware 3D Spatial Reasoning for Instance NavigationLLM reasoning → Spatial and embodied reasoning
- Guided Prompt Evolution for Vision-Language Models AdaptationMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- Streaming Autoregressive Video Generation via Diagonal DistillationDiffusion models → Video generation
- StyleVLA: Driving Style-Aware Vision Language Action Model for Autonomous DrivingMultimodal LLMs / vision-language models → Driving VLMs and open-vocabulary detection +2
All 492
- Prune Redundancy, Preserve Essence: Vision Token Compression in VLMs via Synergistic Importance-DiversityMultimodal LLMs / vision-language models → Visual token pruning and efficiency +1
- OmniEarth: A Benchmark for Evaluating Vision-Language Models in Geospatial TasksLLM reasoning → Spatial and embodied reasoning +1
- EvoDriveVLA: Evolving Driving VLA Models via Collaborative Perception-Planning DistillationVision-language-action models → VLA for autonomous driving +2
- ShapeMark: Robust and Diversity-Preserving Watermarking for Diffusion ModelsDiffusion models → Robustness, privacy and adversarial aspects +1
- Variational Routing: A Scalable Bayesian Framework for Calibrated Mixture-of-Experts TransformersMixture-of-experts → Expert routing strategies
- AI Act Evaluation Benchmark: An Open, Transparent, and Reproducible Evaluation Dataset for NLP and RAG SystemsRetrieval-augmented generation → RAG pipeline design and evaluation
- Impact of Markov Decision Process Design on Sim-to-Real Reinforcement LearningDeep reinforcement learning methods → RL for energy, networks and operations
- From Flow to One Step: Real-Time Multi-Modal Trajectory Policies via Implicit Maximum Likelihood Estimation-based Distribution DistillationDiffusion models → Diffusion and flow policies for robotics
- Reviving ConvNeXt for Efficient Convolutional Diffusion ModelsDiffusion models → Diffusion foundations and sampling
- LLM as a Meta-Judge: Synthetic Data for NLP Evaluation Metric ValidationSynthetic data and self-improvement for LLMs → LLM synthetic data generation
- Reward Prediction with Factorized World StatesLLM alignment / RLHF / preference optimisation → Process reward models for reasoning
- SPAARS: Safer RL Policy Alignment through Abstract Exploration and Refined Exploitation of Action SpaceOffline RL and imitation learning from data → Offline RL algorithms
- The Virtuous Cycle: AI-Powered Vector Search and Vector Search-Augmented AIRetrieval-augmented generation → RAG pipeline design and evaluation
- Robust Regularized Policy Iteration under Transition UncertaintyOffline RL and imitation learning from data → Offline RL algorithms +1
- TaSR-RAG: Taxonomy-guided Structured Reasoning for Retrieval-Augmented GenerationLLM reasoning → Knowledge- and tool-augmented reasoning +1
- Beyond Scaling: Assessing Strategic Reasoning and Rapid Decision-Making Capability of LLMs in Zero-sum EnvironmentsLLM reasoning → Reasoning for agents, planning and code
- Reward-Zero: Language Embedding Driven Implicit Reward Mechanisms for Reinforcement LearningDeep reinforcement learning methods → RL training of language and agent models
- OddGridBench: Exposing the Lack of Fine-Grained Visual Discrepancy Sensitivity in Multimodal Large Language ModelsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- Curveball Steering: The Right Direction To Steer Isn't Always LinearMechanistic interpretability → Activation steering methods
- IntroSVG: Learning from Rendering Feedback for Text-to-SVG Generation via an Introspective Generator-Critic FrameworkLLM alignment / RLHF / preference optimisation → Diffusion and multimodal model alignment
- CORAL: Scalable Multi-Task Robot Learning via LoRA ExpertsVision-language-action models → Reinforcement learning and post-training
- TA-Mem: Tool-Augmented Autonomous Memory Retrieval for LLM in Long-Term Conversational QALLM reasoning → Reasoning for agents, planning and code +1
- See, Plan, Rewind: Progress-Aware Vision-Language-Action Models for Robust Robotic ManipulationVision-language-action models → Failure recovery and robustness
- ToolRosella: Translating Code Repositories into Standardized Tools for Scientific AgentsLLM agents and tool use → Software engineering coding agents
- Logos: An evolvable reasoning engine for rational molecular designLLM reasoning → Clinical and biomedical applications
- ForgeDreamer: Industrial Text-to-3D Generation with Multi-Expert LoRA and Cross-View HypergraphLLM reasoning → Spatial and embodied reasoning
- Social-R1: Towards Human-like Social Reasoning in LLMsLLM reasoning → Reasoning benchmarks and evaluation
- Reasoning-Oriented Programming: Chaining Semantic Gadgets to Jailbreak Large Vision Language ModelsLLM alignment / RLHF / preference optimisation → Safety alignment and jailbreak attacks +1
- RAE-NWM: Navigation World Model in Dense Visual Representation SpaceWorld models → World models for navigation +1
- MO-Playground: Massively Parallelized Multi-Objective Reinforcement Learning for RoboticsDeep reinforcement learning methods → RL for games and combinatorial optimization
- Cognitively Layered Data Synthesis for Domain Adaptation of LLMs to Space Situational AwarenessSynthetic data and self-improvement for LLMs → Synthetic reasoning data and bootstrapping
- EnComp: Lightweight Encoder-Only Context Compression for Retrieval-Augmented Question AnsweringRetrieval-augmented generation → Generation and context integration +1
- Beyond Test-Time Memory: State-Space Optimal Control for LLM ReasoningLLM reasoning → Test-time compute and efficient thinking
- SPAR-K: Scheduled Periodic Alternating Early Exit for Spoken Language ModelsEfficient LLM inference and serving → Early exit and edge inference
- MM-Zero: Self-Evolving Multi-Model Vision Language Models From Zero DataLLM reasoning → Multimodal reasoning +2
- Emotion is Not Just a Label: Latent Emotional Factors in LLM ProcessingLLM reasoning → Audio-language model reasoning
- Evaluate-as-Action: Self-Evaluated Process Rewards for Retrieval-Augmented AgentsRetrieval-augmented generation → Agentic RAG, agents and memory
- The Reasoning Trap -- Logical Reasoning as a Mechanistic Pathway to Situational AwarenessLLM reasoning → Reasoning benchmarks and evaluation
- Explainable Innovation Engine: Dual-Tree Agent-RAG with Methods-as-Nodes and Verifiable Write-BackRetrieval-augmented generation → Agentic RAG, agents and memory
- DEO: Training-Free Direct Embedding Optimization for Negation-Aware RetrievalRetrieval-augmented generation → Generation and context integration
- Latent-DARM: Bridging Discrete Diffusion And Autoregressive Models For ReasoningLLM reasoning → Reasoning for agents, planning and code +1
- Point Cloud as a Foreign Language for Multi-modal Large Language ModelMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- Progressive Split Mamba: Effective State Space Modelling for Image RestorationState-space sequence models (S4, Mamba) → Mamba for image restoration
- SPAN-Nav: Generalized Spatial Awareness for Versatile Vision-Language NavigationMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- RubiCap: Rubric-Guided Reinforcement Learning for Dense Image CaptioningMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning +1
- Real-Time Trust Verification for Safe Agentic Actions using TrustBenchLLM agents and tool use → Agent threats, guardrails and governance
- DataFactory: Collaborative Multi-Agent Framework for Advanced Table Question AnsweringLLM agents and tool use → Web, search, and research agents
- RTFDNet: Fusion-Decoupling for Robust RGB-T SegmentationKnowledge distillation → Detection and dense prediction distillation
- Agentic AI as a Network Control-Plane Intelligence Layer for Federated Learning over 6GLLM agents and tool use → Agentic AI for wireless networks
- Rotation Equivariant Mamba for Vision TasksState-space sequence models (S4, Mamba) → Vision Mamba backbones
- AgenticCyOps: Securing Multi-Agentic AI Integration in Enterprise Cyber OperationsLLM agents and tool use → Agent threats, guardrails and governance
- QUSR: Quality-Aware and Uncertainty-Guided Image Super-Resolution Diffusion ModelDiffusion models → Inverse problems and image restoration
- DexHiL: A Human-in-the-Loop Framework for Vision-Language-Action Model Post-Training in Dexterous ManipulationVision-language-action models → Human-video and latent-action pretraining
- Decoupling Reasoning and Confidence: Resurrecting Calibration in Reinforcement Learning from Verifiable RewardsLLM reasoning → Reinforcement learning for reasoning
- VIVID-Med: LLM-Supervised Structured Pretraining for Deployable Medical ViTsMultimodal LLMs / vision-language models → Medical vision-language models
- MedKCO: Medical Vision-Language Pretraining via Knowledge-Driven Cognitive OrchestrationMultimodal LLMs / vision-language models → Medical vision-language models
- Reading, Not Thinking: Understanding and Bridging the Modality Gap When Text Becomes Pixels in Multimodal LLMsLLM reasoning → Multimodal reasoning +1
- Chain of Event-Centric Causal Thought for Physically Plausible Video GenerationLLM reasoning → Multimodal reasoning
- Overcoming Valid Action Suppression in Unmasked Policy Gradient AlgorithmsDeep reinforcement learning methods → Deep RL algorithms and representations
- Latent World Models for Automated Driving: A Unified Taxonomy, Evaluation Framework, and Open ChallengesWorld models → World models for autonomous driving +2
- GST-VLA: Structured Gaussian Spatial Tokens for 3D Depth-Aware Vision-Language-Action ModelsVision-language-action models → 3D and spatial-aware VLA
- M2Diff: Multi-Modality Multi-Task Enhanced Diffusion Model for MRI-Guided Low-Dose PET EnhancementDiffusion models → Medical imaging and segmentation
- Quality over Quantity: Demonstration Curation via Influence Functions for Data-Centric Robot LearningOffline RL and imitation learning from data → Robot manipulation imitation learning
- EPOCH: An Agentic Protocol for Multi-Round System OptimizationLLM agents and tool use → General LLM agent frameworks and benchmarks
- FlexServe: A Fast and Secure LLM Serving System for Mobile Devices with Flexible Resource IsolationEfficient LLM inference and serving → Serving systems and request scheduling
- Time, Identity and Consciousness in Language Model AgentsLLM agents and tool use → Social simulation and multi-agent debate
- Uncertainty, Vagueness, and Ambiguity in Human-Robot Interaction: Why Conceptualization Matters
- Facial-Expression-Aware Prompting for Empathetic LLM Tutoring
- A Comparative Study on the Impact of Traditional Learning and Interactive Learning on Students' Academic Performance and Emotional Well-Being
- Beyond Passive Viewing: A Pilot Study of a Hybrid Learning Platform Augmenting Video Lectures with Conversational AI
- Evaluating Reliability Gaps in Large Language Model Safety via Repeated Prompt Sampling
- Human-AI Interaction Traces as Blackout Poetry: Reframing AI-Supported Writing as Found-Text Creativity
- LLMs for Text-Based Exploration and Navigation Under Partial Observability
- From Scalars to Tensors: Declared Losses Recover Epistemic Distinctions That Neutrosophic Scalars Cannot Express
- Automated Standardization of Legacy Biomedical Metadata Using an Ontology-Constrained LLM Agent
- Algebraic Structure Discovery for Real World Combinatorial Optimisation Problems: A General Framework from Abstract Algebra to Quotient Space Learning
- Classifying Problem and Solution Framing in Congressional Social Media
- Semantic Shifts of Psychological Concepts in Scientific and Popular Media Discourse: A Distributional Semantics Analysis of Russian-Language Corpora
- Are they human? Detecting large language models by probing human memory constraints
- ASCAT: An Arabic Scientific Corpus and Benchmark for Advanced Translation Evaluation
- Disentangling Prompt Element Level Risk Factors for Hallucinations and Omissions in Mental Health LLM Responses
- Quantifying Gender Bias in Large Language Models: When ChatGPT Becomes a Hiring Manager
- LITTA: Late-Interaction and Test-Time Alignment for Visually-Grounded Multimodal Retrieval
- Developing Machine Learning-Based Watch-to-Warning Severe Weather Guidance from the Warn-on-Forecast System
- Stability of AI Governance Systems: A Coupled Dynamics Model of Public Trust and Social Disruptions
- Decoding the decoder: Contextual sequence-to-sequence modeling for intracortical speech decoding
- Maximizing Mutual Information Between Prompt and Response Improves LLM Performance With No Additional Data
- Automatic Analysis of Collaboration Through Human Conversational Data Resources: A Review
- A Visualization for Comparative Analysis of Regression Models
- Privacy and Safety Experiences and Concerns of U.S. Women Using Generative AI for Seeking Sexual and Reproductive Health Information
- HoloByte: Continuous Hyperspherical Distillation for Tokenizer-Free Modeling
- Quantizer-Aware Hierarchical Neural Codec Modeling for Speech Deepfake Detection
- Quantum Amplitude Estimation for Catastrophe Insurance Tail-Risk Pricing: Empirical Convergence and NISQ Noise Analysis
- OrthoAI v2: From Single-Agent Segmentation to Dual-Agent Treatment Planning for Clear Aligners
- A Hierarchical End-of-Turn Model with Primary Speaker Segmentation for Real-Time Conversational AI
- Do Large Language Models Get Caught in Hofstadter-Mobius Loops?
- Deep Learning for BioImaging: What Are We Really Learning?
- A Computer-aided Framework for Detecting Osteosarcoma in Computed Tomography Scans
- InfiniteDance: Scalable 3D Dance Generation Towards in-the-wild Generalization
- Ethical Fairness in Ubiquitous Health Sensing without Known Attributes
- Detecting Miscitation on the Scholarly Web through LLM-Augmented Text-Rich Graph Learning
- VeriHGN: Heterogeneous Graph-Based Congestion Prediction for Chip Layout Verification
- OA-NBV: Occlusion-Aware Next-Best-View Planning for Human-Centered Active Perception on Mobile Robots
- TinyNav: End-to-End TinyML for Real-Time Autonomous Navigation on Microcontrollers
- From Phase Prediction to Phase Design: A ReAct Agent Framework for High-Entropy Alloy Discovery
- Summarize Before You Speak with ARACH: A Training-Free Inference-Time Plug-In for Enhancing LLMs via Global Attention Reallocation
- Exploring Collatz Dynamics with Human-LLM Collaboration
- VCR: Variance-Driven Channel Recalibration for Robust Low-Light Enhancement
- GSVD for Geometry-Grounded Dataset Comparison: An Alignment Angle Is All You Need
- Estimating Condition Number with Graph Neural Networks
- A Robust Deep Learning Framework for Bangla License Plate Recognition Using YOLO and Vision-Language OCR
- Discovery of a Hematopoietic Manifold in scGPT Yields a Method for Extracting Performant Algorithms from Biological Foundation Model Internals
- ID-LoRA: Identity-Driven Audio-Video Personalization with In-Context LoRA
- Joint Imaging-ROI Representation Learning via Cross-View Contrastive Alignment for Brain Disorder Classification
- Bayesian Hierarchical Models and the Maximum Entropy Principle
- Intrinsic Numerical Robustness and Fault Tolerance in a Neuromorphic Algorithm for Scientific Computing
- Learning from Radio using Variational Quantum RF Sensing
- One Adapter for All: Towards Unified Representation in Step-Imbalanced Class-Incremental Learning
- Why Does It Look There? Structured Explanations for Image Classification
- S-GRADES -- Studying Generalization of Student Response Assessments in Diverse Evaluative Settings
- OilSAM2: Memory-Augmented SAM2 for Scalable SAR Oil Spill Detection
- A Trust-Region Interior-Point Stochastic Sequential Quadratic Programming Method
- Robotic Ultrasound Makes CBCT Alive
- Multilingual AI-Driven Password Strength Estimation with Similarity-Based Detection
- An Automated Radiomics Framework for Postoperative Survival Prediction in Colorectal Liver Metastases using Preoperative MRI
- SDSR: A Spectral Divide-and-Conquer Approach for Species Tree Reconstruction
- FusionNet: a frame interpolation network for 4D heart models
- ViDia2Std: A Parallel Corpus and Methods for Low-Resource Vietnamese Dialect-to-Standard Translation
- Flexible Cutoff Learning: Optimizing Machine Learning Potentials After Training
- Variance-Corrected Multi-Asset Equity Simulation with Hybrid Hidden Markov Marginals
- Adaptive Activation Cancellation for Hallucination Mitigation in Large Language Models
- ARCHE: Autoregressive Residual Compression with Hyperprior and Excitation
- Stabilizing Bandits using Regularization: Precise Regret and A Quantitative Central Limit Theorem
- DT-BEHRT: Disease Trajectory-aware Transformer for Interpretable Patient Representation Learning
- ReMix: Reinforcement routing for mixtures of LoRAs in LLM finetuning
- Mashup Learning: Faster Finetuning by Remixing Past Checkpoints
- A neural operator for predicting vibration frequency response curves from limited data
- Social Knowledge for Cross-Domain User Preference Modeling
- Lost in Backpropagation: The LM Head is a Gradient Bottleneck
- The Generation-Recognition Asymmetry: Six Dimensions of a Fundamental Divide in Formal Language Theory
- Unbalanced Optimal Transport Dictionary Learning for Unsupervised Hyperspectral Image Clustering
- The Prediction-Measurement Gap: Toward Meaning Representations as Scientific Instruments
- HG-Lane: High-Fidelity Generation of Lane Scenes under Adverse Weather and Lighting Conditions without Re-annotation
- 4DEquine: Disentangling Motion and Appearance for 4D Equine Reconstruction from Monocular Video
- Lost in the Middle at Birth: An Exact Theory of Transformer Position Bias
- Hardware Efficient Approximate Convolution with Tunable Error Tolerance for CNNs
- Denoising the US Census: Succinct Block Hierarchical Regression
- Rethinking Adam for Time Series Forecasting: A Simple Heuristic to Improve Optimization under Distribution Shifts
- A Survey of Weight Space Learning: Understanding, Representation, and Generation
- ES-dLLM: Efficient Inference for Diffusion Large Language Models by Early-Skipping
- Digging Deeper: Learning Multi-Level Concept Hierarchies
- Mitigating Frequency Learning Bias in Quantum Models via Multi-Stage Residual Learning
- Large Spikes in Stochastic Gradient Descent: A Large-Deviations View
- Stochastic Port-Hamiltonian Neural Networks: Universal Approximation with Passivity Guarantees
- TASER: Task-Aware Spectral Energy Refine for Backdoor Suppression in UAV Swarms Decentralized Federated Learning
- Marginals Before Conditionals
- Why LLMs Fail: A Failure Analysis and Partial Success Measurement for Automated Security Patch Generation
- HTMuon: Improving Muon via Heavy-Tailed Spectral Correction
- The Epistemic Support-Point Filter: Jaynesian Maximum Entropy Meets Popperian Falsification
- Task Aware Modulation Using Representation Learning for Upsaling of Terrestrial Carbon Fluxes
- CREATE: Testing LLMs for Associative Creativity
- Understanding the Use of a Large Language Model-Powered Guide to Make Virtual Reality Accessible for Blind and Low Vision People
- Emotional Modulation in Swarm Decision Dynamics
- BEACON: Language-Conditioned Navigation Affordance Prediction under Occlusion
- From Semantics to Pixels: Coarse-to-Fine Masked Autoencoders for Hierarchical Visual Understanding
- Leveraging whole slide difficulty in Multiple Instance Learning to improve prostate cancer grading
- On the Width Scaling of Neural Optimizers Under Matrix Operator Norms I: Row/Column Normalization and Hyperparameter Transfer
- Towards a Neural Debugger for Python
- The Confidence Gate Theorem: When Should Ranked Decision Systems Abstain?
- No Image, No Problem: End-to-End Multi-Task Cardiac Analysis from Undersampled k-Space
- PathMem: Toward Cognition-Aligned Memory Transformation for Pathology MLLMs
- Towards Flexible Spectrum Access: Data-Driven Insights into Spectrum Demand
- SignalMC-MED: A Multimodal Benchmark for Evaluating Biosignal Foundation Models on Single-Lead ECG and PPG
- Model Merging in the Era of Large Language Models: Methods, Applications, and Future Directions
- Generative Drifting is Secretly Score Matching: a Spectral and Variational Perspective
- Unsupervised Domain Adaptation with Target-Only Margin Disparity Discrepancy
- Fine-grained Motion Retrieval via Joint-Angle Motion Images and Token-Patch Late Interaction
- On the Structural Failure of Chamfer Distance in 3D Shape Optimization
- OptEMA: Adaptive Exponential Moving Average for Stochastic Optimization with Zero-Noise Optimality
- WikiCLIP: An Efficient Contrastive Baseline for Open-domain Visual Entity Recognition
- AI-Enabled Data-driven Intelligence for Spectrum Demand Estimation
- Stepping VLMs onto the Court: Benchmarking Spatial Intelligence in Sports
- MSSR: Memory-Aware Adaptive Replay for Continual LLM Fine-Tuning
- LCA: Local Classifier Alignment for Continual Learning
- Benchmarking Political Persuasion Risks Across Frontier Large Language Models
- DISPLAY: Directable Human-Object Interaction Video Generation via Sparse Motion Guidance and Multi-Task Auxiliary
- Emerging Extrinsic Dexterity in Cluttered Scenes via Dynamics-aware Policy Learning
- Do What I Say: A Spoken Prompt Dataset for Instruction-Following
- MissBench: Benchmarking Multimodal Affective Analysis under Imbalanced Missing Modalities
- N-gram-like Language Models Predict Naturalistic Reading Time Best
- CarbonBench: A Global Benchmark for Upscaling of Carbon Fluxes Using Zero-Shot Learning
- GAST: Gradient-aligned Sparse Tuning of Large Language Models with Data-layer Selection
- A Graph-Based Approach to Spectrum Demand Prediction Using Hierarchical Attention Networks
- SCENEBench: An Audio Understanding Benchmark Grounded in Assistive and Industrial Use Cases
- A Unified Hierarchical Multi-Task Multi-Fidelity Framework for Data-Efficient Surrogate Modeling in Manufacturing
- CycleULM: A unified label-free deep learning framework for ultrasound localisation microscopy
- MA-EgoQA: Question Answering over Egocentric Videos from Multiple Embodied Agents
- BrainSTR: Spatio-Temporal Contrastive Learning for Interpretable Dynamic Brain Network Modeling
- Correction of Transformer-Based Models with Smoothing Pseudo-Projector
- RA-SSU: Towards Fine-Grained Audio-Visual Learning with Region-Aware Sound Source Understanding
- MITRA: An AI Assistant for Knowledge Retrieval in Physics Collaborations
- Test-time Ego-Exo-centric Adaptation for Action Anticipation via Multi-Label Prototype Growing and Dual-Clue Consistency
- Information Theoretic Bayesian Optimization over the Probability Simplex
- Exploiting Adaptive Channel Pruning for Communication-Efficient Split Learning
- A Hybrid Quantum Circuit Born Machine Framework for Financial Volatility Forecasting: Quantum-Assisted Training and Classical Inference
- What is Missing? Explaining Neurons Activated by Absent Concepts
- EPIC-EuroParl-UdS: Information-Theoretic Perspectives on Translation and Interpreting
- First Estimation of Model Parameters for Neutrino-Induced Nucleon Knockout Using Simulation-Based Inference
- Global universality via discrete-time signatures
- Removing the Trigger, Not the Backdoor: Alternative Triggers and Latent Backdoors
- PanoAffordanceNet: Towards Holistic Affordance Grounding in 360deg Indoor Environments
- LogoDiffuser: Training-Free Multilingual Logo Generation and Stylization via Letter-Aware Attention Control
- Beyond Fine-Tuning: Robust Food Entity Linking under Ontology Drift with FoodOntoRAG
- LAP: A Language-Aware Planning Model For Procedure Planning In Instructional Videos
- Upper Generalization Bounds for Neural Oscillators
- ENIGMA-360: An Ego-Exo Dataset for Human Behavior Understanding in Industrial Scenarios
- Let's Reward Step-by-Step: Step-Aware Contrastive Alignment for Vision-Language Navigation in Continuous Environments
- M2-Occ: Resilient 3D Semantic Occupancy Prediction for Autonomous Driving with Incomplete Camera Inputs
- FetalAgents: A Multi-Agent System for Fetal Ultrasound Image and Video Analysis
- A Multi-Prototype-Guided Federated Knowledge Distillation Approach in AI-RAN Enabled Multi-Access Edge Computing System
- GSStream: 3D Gaussian Splatting based Volumetric Scene Streaming System
- Does the Question Really Matter? Training-Free Data Selection for Vision-Language SFT
- MUGEN: Evaluating and Improving Multi-audio Understanding of Large Audio-Language Models
- ProGS: Towards Progressive Coding for 3D Gaussian Splatting
- TriFusion-SR: Joint Tri-Modal Medical Image Fusion and SR
- Mousse: Rectifying the Geometry of Muon with Curvature-Aware Preconditioning
- TemporalDoRA: Temporal PEFT for Robust Surgical Video Question Answering
- DRIFT: Dual-Representation Inter-Fusion Transformer for Automated Driving Perception with 4D Radar Point Clouds
- Physics-informed neural operator for parametric phase-field modelling of interfacial degradation and microstructural evolution
- ESAinsTOD: A Unified End-to-End Schema-Aware Instruction-Tuning Framework for Task-Oriented Dialog Modeling
- AutoViVQA: A Large-Scale Automatically Constructed Dataset for Vietnamese Visual Question Answering
- Fusing Semantic, Lexical, and Domain Perspectives for Recipe Similarity Estimation
- Automatic Cardiac Risk Management Classification using large-context Electronic Patients Health Records
- On Catastrophic Forgetting in Low-Rank Decomposition-Based Parameter-Efficient Fine-Tuning
- Improving 3D Foot Motion Reconstruction in Markerless Monocular Human Motion Capture
- Murmurations: a case study in AI-assisted mathematics
- Logics-Parsing-Omni Technical Report
- GNNs for Time Series Anomaly Detection: An Open-Source Framework and a Critical Evaluation
- VarSplat: Uncertainty-aware 3D Gaussian Splatting for Robust RGB-D SLAM
- DiffWind: Physics-Informed Differentiable Modeling of Wind-Driven Object Dynamics
- No evaluation without fair representation : Impact of label and selection bias on the evaluation, performance and mitigation of classification models
- FreqCycle: A Multi-Scale Time-Frequency Analysis Method for Time Series Forecasting
- Understanding the Interplay between LLMs' Utilisation of Parametric and Contextual Knowledge: A keynote at ECIR 2025
- OTPL-VIO: Robust Visual-Inertial Odometry with Optimal Transport Line Association and Adaptive Uncertainty
- MiniAppBench: Evaluating the Shift from Text to Interactive HTML Responses in LLM-Powered Assistants
- Well Log-Guided Synthesis of Subsurface Images from Sparse Petrography Data Using cGANs
- Noise Models Impacts and Mitigation Strategies in Photonic Quantum Machine Learning
- Multi-DNN Inference of Sparse Models on Edge SoCs
- Tracking Cancer Through Text: Longitudinal Extraction From Radiology Reports Using Open-Source Large Language Models
- X-GS: An Extensible Framework for Perceiving and Thinking with 3D Gaussian Splatting
- Physics-Driven 3D Gaussian Rendering for Zero-Shot MRI Super-Resolution
- Context Engineering: From Prompts to Corporate Multi-Agent Architecture
- Surgical Repair of Collapsed Attention Heads in ALiBi Transformers
- A Saccade-inspired Approach to Image Classification using Vision Transformer Attention Maps
- ParTY: Part-Guidance for Expressive Text-to-Motion Synthesis
- Learning the Hierarchical Organization in Brain Network for Brain Disorder Diagnosis
- MM-algorithms for traditional and convex NMF with Tweedie and Negative Binomial cost functions and empirical evaluation
- A Variational Latent Equilibrium for Learning in Neuronal Circuits
- Build, Borrow, or Just Fine-Tune? A Political Scientist's Guide to Choosing NLP Models
- Memorization capacity of deep ReLU neural networks characterized by width and depth
- Nonparametric Variational Differential Privacy via Embedding Parameter Clipping
- Towards Understanding Adam Convergence on Highly Degenerate Polynomials
- Routing without Forgetting
- An Optimal Control Approach To Transformer Training
- a-TMFG: Scalable Triangulated Maximally Filtered Graphs via Approximate Nearest Neighbors
- Learning Bayesian and Markov Networks with an Unreliable Oracle
- Compiler-First State Space Duality and Portable O(1) Autoregressive Caching for Inference
- A comprehensive study of time-of-flight non-line-of-sight imaging
- Memory-Guided View Refinement for Dynamic Human-in-the-loop EQA
- Enhancing Debunking Effectiveness through LLM-based Personality Adaptation
- What Do We Care About in Bandits with Noncompliance? BRACE: Bandits with Recommendations, Abstention, and Certified Effects
- Association of Progressive PPFE and Mortality in Lung Cancer Screening Cohorts
- DCAU-Net: Differential Cross Attention and Channel-Spatial Feature Fusion for Medical Image Segmentation
- RESBev: Making BEV Perception More Robust
- You Didn't Have to Say It like That: Subliminal Learning from Faithful Paraphrases
- TrainDeeploy: Hardware-Accelerated Parameter-Efficient Fine-Tuning of Small Transformer Models at the Extreme Edge
- Modelling the Diachronic Emergence of Phoneme Frequency Distributions
- SurgFed: Language-guided Multi-Task Federated Learning for Surgical Video Understanding
- Temporal-Conditioned Normalizing Flows for Multivariate Time Series Anomaly Detection
- Vibe-Creation: The Epistemology of Human-AI Emergent Cognition
- Component-Aware Sketch-to-Image Generation Using Self-Attention Encoding and Coordinate-Preserving Fusion
- GenePlan: Evolving Better Generalized PDDL Plans using Large Language Models
- Telogenesis: Goal Is All U Need
- The Patrologia Graeca Corpus: OCR, Annotation, and Open Release of Noisy Nineteenth-Century Polytonic Greek Editions
- TopoOR: A Unified Topological Scene Representation for the Operating Room
- An Empirical Study and Theoretical Explanation on Task-Level Model-Merging Collapse
- Declarative Scenario-based Testing with RoadLogic
- CyberThreat-Eval: Can Large Language Models Automate Real-World Threat Research?
- A Guideline-Aware AI Agent for Zero-Shot Target Volume Auto-Delineation
- GIIM: Graph-based Learning of Inter- and Intra-view Dependencies for Multi-view Medical Image Diagnosis
- From Weighting to Modeling: A Nonparametric Estimator for Off-Policy Evaluation
- Common Sense vs. Morality: The Curious Case of Narrative Focus Bias in LLMs
- CERES: A Probabilistic Early Warning System for Acute Food Insecurity
- Class-Incremental Motion Forecasting
- MetaDAT: Generalizable Trajectory Prediction via Meta Pre-training and Data-Adaptive Test-Time Updating
- CIGPose: Causal Intervention Graph Neural Network for Whole-Body Pose Estimation
- Investigating Gender Stereotypes in Large Language Models via Social Determinants of Health
- PromptDLA: A Domain-aware Prompt Document Layout Analysis Framework with Descriptive Knowledge as a Cue
- Reconstructing Movement from Sparse Samples: Enhanced Spatio-Temporal Matching Strategies for Low-Frequency Data
- RiO-DETR: DETR for Real-time Oriented Object Detection
- YOLO-NAS-Bench: A Surrogate Benchmark with Self-Evolving Predictors for YOLO Architecture Search
- ICDAR 2025 Competition on End-to-End Document Image Machine Translation Towards Complex Layouts
- Physics-Informed Neural Engine Sound Modeling with Differentiable Pulse-Train Synthesis
- Training-Free Coverless Multi-Image Steganography with Access Control
- EventVGGT: Exploring Cross-Modal Distillation for Consistent Event-based Depth Estimation
- SinGeo: Unlock Single Model's Potential for Robust Cross-View Geo-Localization
- MIL-PF: Multiple Instance Learning on Precomputed Features for Mammography Classification
- Quantifying and extending the coverage of spatial categorization data sets
- Flow Field Reconstruction via Voronoi-Enhanced Physics-Informed Neural Networks with End-to-End Sensor Placement Optimization
- From Representation to Clusters: A Contrastive Learning Approach for Attributed Hypergraph Clustering
- M3GCLR: Multi-View Mini-Max Infinite Skeleton-Data Game Contrastive Learning For Skeleton-Based Action Recognition
- Evidential Perfusion Physics-Informed Neural Networks with Residual Uncertainty Quantification
- Democratising Clinical AI through Dataset Condensation for Classical Clinical Models
- SHANG++: Robust Stochastic Acceleration under Multiplicative Noise
- Interactive 3D visualization of surface roughness predictions in additive manufacturing: A data-driven framework
- TA-GGAD: Testing-time Adaptive Graph Model for Generalist Graph Anomaly Detection
- Robust Provably Secure Image Steganography via Latent Iterative Optimization
- Predictive Spectral Calibration for Source-Free Test-Time Regression
- TimberAgent: Gram-Guided Retrieval for Executable Music Effect Control
- Reading the Mood Behind Words: Integrating Prosody-Derived Emotional Context into Socially Responsive VR Agents
- SpaceSense-Bench: A Large-Scale Multi-Modal Benchmark for Spacecraft Perception and Pose Estimation
- NLiPsCalib: An Efficient Calibration Framework for High-Fidelity 3D Reconstruction of Curved Visuotactile Sensors
- CLoE: Expert Consistency Learning for Robust Missing Modality Segmentation
- A Gaussian Comparison Theorem for Training Dynamics in Machine Learning
- Rescaling Confidence: What Scale Design Reveals About LLM Metacognition
- Diagnosing and Repairing Citation Failures in Generative Engine Optimization
- DenoiseSplat: Feed-Forward Gaussian Splatting for Noisy 3D Scene Reconstruction
- Proxy-Guided Measurement Calibration
- Exploring Modality-Aware Fusion and Decoupled Temporal Propagation for Multi-Modal Object Tracking
- CogBlender: Towards Continuous Cognitive Intervention in Text-to-Image Generation
- Learning Convex Decomposition via Feature Fields
- From Ideal to Real: Stable Video Object Removal under Imperfect Conditions
- Speeding Up the Learning of 3D Gaussians with Much Shorter Gaussian Lists
- On Regret Bounds of Thompson Sampling for Bayesian Optimization
- DendroNN: Dendrocentric Neural Networks for Energy-Efficient Classification of Event-Based Data
- Implicit Geometry Representations for Vision-and-Language Navigation from Web Videos
- Multimodal Graph Representation Learning with Dynamic Information Pathways
- Transductive Generalization via Optimal Transport and Its Application to Graph Node Classification
- Multi-model approach for autonomous driving: A comprehensive study on traffic sign-, vehicle- and lane detection and behavioral cloning
- Efficient Reasoning at Fixed Test-Time Cost via Length-Aware Attention Priors and Gain-Aware Training
- A Generative Sampler for distributions with possible discrete parameter based on Reversibility
- Bridging Object Detection and Segmentation with Polygon Detection Transformers
- When Detectors Forget Forensics: Blocking Semantic Shortcuts for Generalizable AI-Generated Image Detection
- BridgeDiff: Bridging Human Observations and Flat-Garment Synthesis for Virtual Try-Off
- HelixTrack: Event-Based Tracking and RPM Estimation of Propeller-like Objects
- StuPASE: Towards Low-Hallucination Studio-Quality Generative Speech Enhancement
- How Contrastive Decoding Enhances Large Audio Language Models
- UniField: A Unified Field-Aware MRI Enhancement Framework
- Distributed Convolutional Neural Networks for Object Recognition
- Embodied Human Simulation for Quantitative Design and Analysis of Interactive Robotics
- TubeMLLM: A Foundation Model for Topology Knowledge Exploration in Vessel-like Anatomy
- PrivPRISM: Automatically Detecting Discrepancies Between Google Play Data Safety Declarations and Developer Privacy Policies
- Geometry-Aware Metric Learning for Cross-Lingual Few-Shot Sign Language Recognition on Static Hand Keypoints
- Abundant Intelligence and Deficient Demand: A Macro-Financial Stress Test of Rapid AI Adoption
- Strategically Robust Multi-Agent Reinforcement Learning with Linear Function Approximation
- The Radio-Frequency Transformer for Signal Separation
- P2GNN: Two Prototype Sets to boost GNN Performance
- The Costs of Reproducibility in Music Separation Research: a Replication of Band-Split RNN
- DuplexCascade: Full-Duplex Speech-to-Speech Dialogue with VAD-Free Cascaded ASR-LLM-TTS Pipeline and Micro-Turn Optimization
- Differentiable Stochastic Traffic Dynamics: Physics-Informed Generative Modelling in Transportation
- Reinforced Generation of Combinatorial Structures: Ramsey Numbers
- ZeroWBC: Learning Natural Whole-Body Humanoid Interaction from Human Egocentric Data
- Better Bounds for the Distributed Experts Problem
- GIAT: A Geologically-Informed Attention Transformer for Lithology Identification
- POLISH'ing the Sky: Wide-Field and High-Dynamic Range Interferometric Image Reconstruction with Application to Strong Lens Discovery
- Wrong Code, Right Structure: Learning Netlist Representations from Imperfect LLM-Generated RTL
- Bioalignment: Measuring and Improving LLM Disposition Toward Biological Systems for AI Safety
- Deep Tabular Research via Continual Experience-Driven Execution
- Causally Sufficient and Necessary Feature Expansion for Class-Incremental Learning
- Transformer-Based Multi-Region Segmentation and Radiomic Analysis of HR-pQCT Imaging for Osteoporosis Classification
- Collective AI can amplify tiny perturbations into divergent decisions
- PM-Nav: Priori-Map Guided Embodied Navigation in Functional Buildings
- Progressive Representation Learning for Multimodal Sentiment Analysis with Incomplete Modalities
- Composed Vision-Language Retrieval for Skin Cancer Case Search via Joint Alignment of Global and Local Representations
- Training-free Motion Factorization for Compositional Video Generation
- Probabilistic Hysteresis Factor Prediction for Electric Vehicle Batteries with Graphite Anodes Containing Silicon
- Not All News Is Equal: Topic- and Event-Conditional Sentiment from Finetuned LLMs for Aluminum Price Forecasting
- SyncEdit: Rethinking Lip Synchronization as Editing with Audio-Driven Diffusion Models
- PPO-Based Hybrid Optimization for RIS-Assisted Semantic Vehicular Edge Computing
- Exclusive Self Attention
- A Text-Native Interface for Generative Video Authoring
- Intelligent Spatial Estimation for Fire Hazards in Engineering Sites: An Enhanced YOLOv8-Powered Proximity Analysis Framework
- Verifying Good Regulator Conditions for Hypergraph Observers: Natural Gradient Learning from Causal Invariance via Established Theorems
- Learning Adaptive LLM Decoding
- Dynamic Multi-period Experts for Online Time Series Forecasting
- Adaptive Active Learning for Online Reliability Prediction of Satellite Electronics
- Spectral-Structured Diffusion for Single-Image Rain Removal
- Sim2Act: Robust Simulation-to-Decision Learning via Adversarial Calibration and Group-Relative Perturbation
- From Days to Minutes: An Autonomous AI Agent Achieves Reliable Clinical Triage in Remote Patient Monitoring
- WS-Net: Weak-Signal Representation Learning and Gated Abundance Reconstruction for Hyperspectral Unmixing via State-Space and Weak Signal Attention Fusion
- SCALAR: Learning and Composing Skills through LLM Guided Symbolic Planning and Deep RL Grounding
- Two Teachers Better Than One: Hardware-Physics Co-Guided Distributed Scientific Machine Learning