AI News

⚡ 10 minutes ago
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Causal Agent Replay: Counterfactual Attribution for LLM-Agent Failures (arxiv.org)
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Causal Semantic Alignment for LLM-based Time Series Forecasting (arxiv.org)
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Graph Mamba Operator: A Latent Simulator for Interacting Particle Systems (arxiv.org)
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Agent Economics: An Entropy-Controlled Pluralistic Alignment Framework for Preventing Artificial Hivemind in Autonomous Agents (arxiv.org)
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Personalization Meets Safety:Mechanisms,Risks,and Mitigations in Personalized LLMs (arxiv.org)
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A Multi-Agent System for IPMSM Design Optimization via an FEA-AI Hybrid Approach (arxiv.org)
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LATTEArena: An Evaluation Framework for LLM-powered Tabular Feature Engineering (Extended Version) (arxiv.org)
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Tight Sample Complexity of Transformers (arxiv.org)
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Differentially Private Synthetic Data via APIs 4: Tabular Data (arxiv.org)
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De novo molecular generation with optical property preconditioning at the token level (arxiv.org)
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A Robust $\widetilde{\mathcal{O}}(1/\sqrt{T})$ Rate for Unprojected TD Learning with Linear Function Approximation (arxiv.org)
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Adaptive Resolution for Finite-Rank Gaussian Processes (arxiv.org)
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Joint stochastic localization and applications (arxiv.org)
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Dynamics of learning to integrate in linear recurrent neural networks (arxiv.org)
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Investigating the Histogram Loss in Regression (arxiv.org)
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The Mirrored Influence Hypothesis: Efficient Data Influence Estimation by Harnessing Forward Passes (arxiv.org)
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Consensus-based adaptive sampling and approximation for high-dimensional energy landscapes (arxiv.org)
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From 0-to-1 to 1-to-N: Reproducible Engineering Evidence for MetaAI Recursive Self-Design (arxiv.org)
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Semi-Parametric Inference for Doubly Stochastic Spatial Point Processes: An Approximate Penalized Poisson Likelihood Approach (arxiv.org)
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Partial Identification under Missing Data Using Weak Shadow Variables from Pretrained Models (arxiv.org)
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Wedge Sampling: Efficient Tensor Completion with Nearly-Linear Sample Complexity (arxiv.org)
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Performative Learning Theory (arxiv.org)
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Extending Ontologies: From Dense Embeddings to Hybrid Quantum-Fuzzy Systems (arxiv.org)
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Improved Analysis of the Accelerated Noisy Power Method with Applications to Decentralized PCA (arxiv.org)
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Full-Batch Gradient Descent Outperforms One-Pass SGD: Sample Complexity Separation in Single-Index Learning (arxiv.org)
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Conditional Normalizing Flows for Forward and Backward Joint State and Parameter Estimation (arxiv.org)
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Locally Adaptive Conformal Inference for Operator Models (arxiv.org)
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LARP: Learner-Agnostic Robust Data Prefiltering (arxiv.org)
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Robust Random Graph Matching in Dense Graphs via an Approximate Message Passing Type Algorithm (arxiv.org)
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Entropic Optimal Transport Eigenmaps for Nonlinear Alignment and Joint Embedding of High-Dimensional Datasets (arxiv.org)
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Bandits for Efficient Experimentation: Adapting to Control Group, Preferences, and Context Drifts (arxiv.org)
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What Makes a Desired Graph for Relational Deep Learning? (arxiv.org)
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Testing the Black Box: Structural Barriers to Independent Evaluation of Consumer-Facing Health LLMs (arxiv.org)
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A Variability-Based Framework for Interpretable Naming in Formal and Relational Concept Analysis (arxiv.org)
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SpectrumKV: Per-Token Mixed-Precision KV Cache Transfer for Prefill-Decode Disaggregated LLM Serving (arxiv.org)
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Tyan-WP: A Wind Power Foundation Model for Ultra-Short-Term Probabilistic Forecasting (arxiv.org)
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Reinforcement Learning for Flow-Matching Policies with Density Transport (arxiv.org)
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Teacher-Free Self-Training Amplifies but Does Not Compound: A Pass@$K$ Crossover on a Free-Verifier Domain (arxiv.org)
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Towards Long-Horizon Vessel Trajectory and Destination Forecasting with Reasoning Large Language Models (arxiv.org)
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GIFT: LLM-Guided State-Reward Interface for Financial Reinforcement Learning (arxiv.org)
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Trajectory-Refined Distillation (arxiv.org)
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Self-Evolving Scientific Agent Discovers Generalizable Physically-Reasoned Fluid Control (arxiv.org)
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TT-DAC-PS: Twin-Target Deterministic Actor-Critic with Policy Smoothing for Optimal Trade Execution (arxiv.org)
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On the Wasserstein Geodesic Principal Component Analysis of probability measures (arxiv.org)
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Byzantine Cheap Talk: Adversarial Resilience and Topology Effects in LLM Coordination Games (arxiv.org)
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Contrast encodes inductive bias: separating slow noise from dynamics in predictive representation learning (arxiv.org)
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scCBGM: Interpretable Single-Cell Counterfactual Editing (arxiv.org)
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Characterizing the Discrete Geometry of ReLU Networks (arxiv.org)
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GenTSE: Enhancing Target Speaker Extraction via a Coarse-to-Fine Generative Language Model (arxiv.org)
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Benchmarking Open-Ended Multi-Agent Coordination in Language Agents (arxiv.org)