AI News

Implicit Neural Representations for Variational Problems on Graphons (arxiv.org)

Combinatorial Characterizations of the Learnability of Conditional Distributions (arxiv.org)

Autoregressive Physics-Informed Neural Operator Surrogates and Joint 4-D Seismic-Production Bayesian History Matching (arxiv.org)

POSEIDON: Scaling Training Environments for Scientific Agents from Code Repositories (arxiv.org)

Distributional Alignment of LLMs and Its Generalization Properties (arxiv.org)

An Agentic Approach with Evidence-Grounded Verification for Multimodal Emotion Reasoning in Conversation (arxiv.org)

Mining the Design Space of Multi-Agent Workflows (arxiv.org)

A Foundation Model for Policy In-Context Longitudinal Causal Effect Estimation (arxiv.org)

Empirical concentration for chains with infinite memory (arxiv.org)

Effectiveness of Curriculum Learning Depends on Reward Sparsity and Competing Optima (arxiv.org)

Every Edge Needs a Quote: Building a Quote-Grounded Knowledge Graph of Healthcare Software Adoption with Language-Model Agents (arxiv.org)

Semantic Representation for Agentic Self-Play in Automated Laboratories (arxiv.org)

PoKER: A Probability of Kill Estimation Rate Model for Air-to-Air Missiles Using Machine Learning on Stochastic Targets (arxiv.org)

Benchmarking Vision-Language Models on Synapse and Neuron Proofreading in Connectomics (arxiv.org)

SteerVTE: Seamless Video Text Editing with Style and Glyph Control (arxiv.org)

Beyond Discrete Tokens: Preserving Numerical Continuity in Medical Vision-Language Models (arxiv.org)

From Target Selection to Condition Reuse: Auditing Residual Interventions in Tool-Use Models (arxiv.org)

Why Does Counterintuitive Likelihood Behavior Rarely Emerge in Tabular Anomaly Detection? (arxiv.org)

Ontology-Guided Knowledge Graph Construction from Structured Metadata and Climate Science Publications (arxiv.org)

SemantEq: Faithful Bidirectional Equivalence of Formal Statements (arxiv.org)

Score-Preserving Continual Lasso under Task Shift (arxiv.org)

RubricCraft: Where Solutions Diverge, Criteria Emerge (arxiv.org)

PolyMemDB: A Polyglot Database System for AI Memory Management (arxiv.org)

Batched NN 4D-Var: a performant hybrid model framework for the Integrated Forecasting System (arxiv.org)

PlayerEmbed: Learning Behavioral Fingerprint Representations from Raw Input Sequences (arxiv.org)

Do AI-for-Science Agents Preserve Model Safety? (arxiv.org)

LeafSkill: Efficient Leaf-Level Action Grounding for Recursive LLM Agents (arxiv.org)

Acquisition for Spherical-Linear Bayesian Optimization on the Cube (arxiv.org)

DealsFlow: An Evidence-Gated Agentic Harness for Venture Capital Deal Triage (arxiv.org)

Advancing SVD-based LLM Compression via Layer-Wise Error Model Search (arxiv.org)

Conditional Flow Models for Offline Maximum Entropy Reinforcement Learning (arxiv.org)

When to Stop Penalizing Actions? Martingale GRPO for VLA Reinforcement Learning (arxiv.org)

CauProphet: Teaching Agents to Develop Causal Cognition like Humans (arxiv.org)

Adaptive World-Models for Anomaly Recognition (AWARE): A Framework for Robot Dynamics Prediction and Introspection (arxiv.org)

Beyond Post-Hoc Rewards: Privileged Reasoning Exploration for Multimodal Embeddings (arxiv.org)

Knowing When to Stop: The Evidence-Action Gap in Coding Agents (arxiv.org)

EvoSkill v2: Fully Agentic Skill Evolution from Benchmark Adaptation to a Stateful Evolver (arxiv.org)

DeepOpen: Decision-Oriented Intent Classification on BANKING77 and CLINC150 (arxiv.org)

Mitigating Saliency Collapse: Robust Saliency-Aware Long-Text Image-Text Alignment (arxiv.org)

Co-Recursive Semantic Self-Extension: A Mathematical Foundation for Open-Ended Intelligence (arxiv.org)

Power- and Fragmentation-aware Online Scheduling for GPU Datacenters (arxiv.org)

Who Verifies the Tools? How Warped Formatters Mislead Agents and Their Verifiers (arxiv.org)

Enhancing Table Recognition with Vision LLMs: A Benchmark and Neighbor-Guided Toolchain Reasoner (arxiv.org)

On Orthogonal Recurrent Neural Networks Quantization (arxiv.org)

Agentic Hazard Mapper: Emulating Expert Map-Making with AI Agents for Risk Communication (arxiv.org)

Singular Geometry of Low-Rank Adaptation (arxiv.org)

Accelerating Wildfire Hazard Mapping Across Canada with an AI Surrogate Modelling Framework (arxiv.org)

Data Quality Audit and Bivariate Temperature-Humidity Analysis of a Long-Term LoRaWAN Network: Anomaly Detection, PCA, Clustering and Machine Learning (arxiv.org)

LLaCO: Continuous Diffusion for Large Language Models with Competition-Aware Semantic Scheduling (arxiv.org)

Symbolic Guidance for LLM Agents in Distributed Multiagent Coordination (arxiv.org)