AI News

⚡ 11 minutes ago
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"I understand your perspective": LLM Persuasion and Sycophancy through the Lens of Communicative Action Theory (arxiv.org)
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Ego-Pi: VLA Fine-Tuning for Ego-Centric Human and Robot Data (arxiv.org)
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Continual Quadruped Robots Coordination via Semantic Skill Discovery (arxiv.org)
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Human-Centered Benchmarking of Driver Monitoring Models (arxiv.org)
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Modeling Stochastic Conditional Dynamics from Sparse Observations via Kernel-Stabilized Flow Matching (arxiv.org)
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Zero and Few Shot Load Forecasting with Large Language Models (arxiv.org)
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BlendServe: Optimizing Offline Inference for Auto-regressive Large Models with Resource-aware Batching (arxiv.org)
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Graph-to-SFILES: Control structure prediction from process topologies using generative artificial intelligence (arxiv.org)
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ePC: Fast and Deep Predictive Coding in Digital Simulation (arxiv.org)
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Advancements in Machine Learning and Deep Learning for Early Detection and Management of Mental Health Disorder (arxiv.org)
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AccioScene: Compositional 3D Scene Generation via Graph Diffusion and Interaction-driven Critics (arxiv.org)
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phepy: Visual benchmarks and improvements for out-of-distribution detectors (arxiv.org)
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LoTUS: Large-Scale Machine Unlearning with a Taste of Uncertainty (arxiv.org)
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Know More, Know Clearer: A Meta-Cognitive Framework for Knowledge Augmentation in Large Language Models (arxiv.org)
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Transforming Police-Car Swerving for Mitigating Isolated Stop-and-Go Traffic Waves: A Practice-Oriented Jam-Absorption Driving Strategy (arxiv.org)
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A Geometric Theory of Cognition for Machine Intelligence (arxiv.org)
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Sound and Complete Neurosymbolic Reasoning with LLM-Grounded Interpretations (arxiv.org)
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Can Global XAI Methods Reveal Injected Behaviours in LLMs? SHAP vs Rule Extraction vs RuleSHAP (arxiv.org)
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IDEQ -- Improving Diffusion Models for the Traveling Salesman Problem (TSP) by Leveraging the Structure of the Solution Space (arxiv.org)
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Enhancing Strawberry Yield Forecasting with Backcasted IoT Sensor Data and Machine Learning (arxiv.org)
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TQA-Bench: Evaluating LLMs for Multi-Table Question Answering (arxiv.org)
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A Survey on Large Language Model-Based Game Agents (arxiv.org)
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OmniGameArena: A Unified UE5 Benchmark for VLM Game Agents with Improvement Dynamics (arxiv.org)
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PTL-Diffusion: Manifold-Aware Diffusion with Periodic Terminal Laws (arxiv.org)
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AHA-WAM:Asynchronous Horizon-Adaptive World-Action Modeling with Observation-Guided Context Routing (arxiv.org)
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Train at Moving Edge: Online-Verified Prompt Selection for Efficient RL Training of Large Reasoning Model (arxiv.org)
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GraphER: An Efficient Graph-Based Enrichment and Reranking Method for Retrieval-Augmented Generation (arxiv.org)
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Geometry-Aware Uncertainty Quantification via Conformal Prediction on Manifolds (arxiv.org)
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Operationalising the Superficial Alignment Hypothesis via Task Complexity (arxiv.org)
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Scaling Laws for Masked-Reconstruction Transformers on Single-Cell Transcriptomics (arxiv.org)
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Weak-Driven Learning: How Weak Agents make Strong Agents Stronger (arxiv.org)
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Who Earns the Safety? Intervention-Aware Quantum Predictive Control with Safety Attribution (arxiv.org)
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FASE: Fast Adaptive Semantic Entropy for Code Quality (arxiv.org)
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Observability for Delegated Execution in Agentic AI Systems (arxiv.org)
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An 84-Format Numeric Catalog with Bit-Exact Conformance Vectors: A Vendor-Neutral Reference for FP8, BF16, MXFP4, and Microscaling Formats (arxiv.org)
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A Graphop Analysis of Graph Neural Networks on Sparse Graphs: Generalization and Universal Approximation (arxiv.org)
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Foundation Inference Models for Ordinary Differential Equations (arxiv.org)
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On the Superlinear Relationship between SGD Noise Covariance and Loss Landscape Curvature (arxiv.org)
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The Label Horizon Paradox: Rethinking Supervision Targets in Financial Forecasting (arxiv.org)
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Your Self-Play Algorithm is Secretly an Adversarial Imitator: Understanding LLM Self-Play through the Lens of Imitation Learning (arxiv.org)
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Robust-U1: Can MLLMs Self-Recover Corrupted Visual Content for Robust Understanding? (arxiv.org)
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When Benign Inputs Lead to Severe Harms: Eliciting Unsafe Unintended Behaviors of Computer-Use Agents (arxiv.org)
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Variational Speculative Decoding: Rethinking Draft Training from Token Likelihood to Sequence Acceptance (arxiv.org)
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Optimal Fair Aggregation of Crowdsourced Noisy Labels using Demographic Parity Constraints (arxiv.org)
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Latent Spherical Flow Policy for Reinforcement Learning with Combinatorial Actions (arxiv.org)
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Cosmo3DFlow: Wavelet Flow Matching for Spatial-to-Spectral Compression in Reconstructing the Early Universe (arxiv.org)
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Nonparametric LLM Evaluation from Preference Data (arxiv.org)
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Alcmean's: Unsupervised community detection using local Laplacian, automatic detection of the number of centers (arxiv.org)
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MilliVid: Hierarchical Latents for Long-Range Consistency in Video Generation (arxiv.org)
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Families of Control-Cost-Parametrized Inverse-Optimal Universal Stabilizers (arxiv.org)