Speechmatics - API for Voice AI Agents
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System-Anchored Knee Estimation for Low-Cost Context Window Selection in PDE Forecasting
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CARE: Training-Free Controllable Restoration for Medical Images via Dual-Latent Steering
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Optimal High-Probability Regret for Online Convex Optimization with Two-Point Bandit Feedback
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From Stateless to Situated: Building a Psychological World for LLM-Based Emotional Support
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Epistemic Compression: The Case for Deliberate Ignorance in High-Stakes AI
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Mechanistically Interpreting Compression in Vision-Language Models
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GeoNDC: A Queryable Neural Data Cube for Planetary-Scale Earth Observation
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Uncertainty Quantification for Quantum Computing
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Intern-S1-Pro: Scientific Multimodal Foundation Model at Trillion Scale
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MoRGS: Efficient Per-Gaussian Motion Reasoning for Streamable Dynamic 3D Scenes
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MP-MoE: Matrix Profile-Guided Mixture of Experts for Precipitation Forecasting
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Approaches to Analysing Historical Newspapers Using LLMs
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Closing the Confidence-Faithfulness Gap in Large Language Models
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GaussFusion: Improving 3D Reconstruction in the Wild with A Geometry-Informed Video Generator
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Synergistic Event-SVE Imaging for Quantitative Propellant Combustion Diagnostics
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The System Prompt Is the Attack Surface: How LLM Agent Configuration Shapes Security and Creates Exploitable Vulnerabilities
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Learning Explicit Continuous Motion Representation for Dynamic Gaussian Splatting from Monocular Videos
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SIGMA: Structure-Invariant Generative Molecular Alignment for Chemical Language Models via Autoregressive Contrastive Learning
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TopoPilot: Reliable Conversational Workflow Automation for Topological Data Analysis and Visualization
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Evaluating Synthetic Images as Effective Substitutes for Experimental Data in Surface Roughness Classification
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Ultra-fast Traffic Nowcasting and Control via Differentiable Agent-based Simulation
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An Explainable Ensemble Learning Framework for Crop Classification with Optimized Feature Pyramids and Deep Networks
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GIFT: Global Irreplaceability Frame Targeting for Efficient Video Understanding
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Z-Erase: Enabling Concept Erasure in Single-Stream Diffusion Transformers
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Sparse Visual Thought Circuits in Vision-Language Models
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Bridging Perception and Reasoning: Token Reweighting for RLVR in Multimodal LLMs
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Learning domain-invariant features through channel-level sparsification for Out-Of Distribution Generalization
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Visual Attention Drifts,but Anchors Hold:Mitigating Hallucination in Multimodal Large Language Models via Cross-Layer Visual Anchors
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THEMIS: Towards Holistic Evaluation of MLLMs for Scientific Paper Fraud Forensics
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ETA-VLA: Efficient Token Adaptation via Temporal Fusion and Intra-LLM Sparsification for Vision-Language-Action Models
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Pixelis: Reasoning in Pixels, from Seeing to Acting
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Process-Aware AI for Rainfall-Runoff Modeling: A Mass-Conserving Neural Framework with Hydrological Process Constraints
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ElephantBroker: A Knowledge-Grounded Cognitive Runtime for Trustworthy AI Agents
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Large Language Models as Optimization Controllers: Adaptive Continuation for SIMP Topology Optimization
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From Logic Monopoly to Social Contract: Separation of Power and the Institutional Foundations for Autonomous Agent Economies
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Unlocking Strong Supervision: A Data-Centric Study of General-Purpose Audio Pre-Training Methods
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UCAgent: An End-to-End Agent for Block-Level Functional Verification
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Layer-Specific Lipschitz Modulation for Fault-Tolerant Multimodal Representation Learning
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OMIND: Framework for Knowledge Grounded Finetuning and Multi-Turn Dialogue Benchmark for Mental Health LLMs
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Label What Matters: Modality-Balanced and Difficulty-Aware Multimodal Active Learning
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MSRL: Scaling Generative Multimodal Reward Modeling via Multi-Stage Reinforcement Learning
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MoireMix: A Formula-Based Data Augmentation for Improving Image Classification Robustness
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SEVerA: Verified Synthesis of Self-Evolving Agents
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Deep Learning Aided Vision System for Planetary Rovers
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Do LLMs Know What They Know? Measuring Metacognitive Efficiency with Signal Detection Theory
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A Comparative Investigation of Thermodynamic Structure-Informed Neural Networks
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When Sensing Varies with Contexts: Context-as-Transform for Tactile Few-Shot Class-Incremental Learning
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AnyDoc: Enhancing Document Generation via Large-Scale HTML/CSS Data Synthesis and Height-Aware Reinforcement Optimization
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The Language of Touch: Translating Vibrations into Text with Dual-Branch Learning
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MCLMR: A Model-Agnostic Causal Learning Framework for Multi-Behavior Recommendation
