AI News

Bilevel Coordinated Reflection: A Game-Theoretic Approach to Multi-Agent LLM Systems (arxiv.org)

Measurement-Driven Sub-Network Selection for On-Premise Retrieval-Augmented Factory Agents (arxiv.org)

Hybrid Retrieval-Augmented Generation with Knowledge Graph Expansion, RRF Fusion, and Per-Chunk Grounded Evaluation for Enterprise Document Search (arxiv.org)

SafeEvolve: Harness-Policy Co-Evolution from Agent Experience for Safety Alignment (arxiv.org)

Large Language Models (LLMs) for Telecom Root Cause Analysis (RCA): A Structured Reasoning Framework for Evidence-Grounded Diagnosis (arxiv.org)

AI Contextual Measurement for Recovering Individual and Group-Level Effects: Validation Against Survey Measures and an Occupational Application (arxiv.org)

Discriminative World Models for Web Agents (arxiv.org)

The Utility of LLMs in Recommender Systems Explanation Evaluation (arxiv.org)

A Data-Driven Multimodal Method for Early Detection of Coordinated Abnormal Behaviors in Live-Streaming Platforms (arxiv.org)

From Feature Interaction to Feature Transport - A Unified Block for Scalable Recommendation Models (arxiv.org)

NeoMME: A Single-Tower Multimodal-Native Multilingual Foundation Encoder for Efficient Fine-Tuning and Inference (arxiv.org)

PRO-Step: Step-level Process Reward Optimization for Retrieval-Augmented Generation (arxiv.org)

How Fast Do Agents Rot? An Empirical Study of Long-Horizon Degradation in LLM Agents for Production Decision-Making (arxiv.org)

Not All Agreement Counts as Corroboration: Provenance-Conserving Multi-View Fusion for Typed Action Admission in Human-Robot Collaboration (arxiv.org)

Ranked by the Matcher: A Reproducibility Audit of Knowledge Graph Extraction from Threat Reports (arxiv.org)

CliffRank: A Dual-Branch Framework for Activity-Cliff Ranking Prediction (arxiv.org)

Efficient Context-Limited Telescope Bibliography Classification for the WASP-2025 Shared Task Using SciBERT (arxiv.org)

Public-Sharing Labels and Verbatim Field Egress in an MCP-to-A2A Agent Configuration: A Controlled Multi-Model Study (arxiv.org)

RecKAN: Kolmogorov-Arnold Networks with a Learnable Recursive Polynomial Basis (arxiv.org)

HEAT: Faster Fully Homomorphic Inference via Approximations-Weights Co-Adaptation (arxiv.org)

Swin Meets EfficientNet: Lightweight Architectures for GAN-Based Face Forensics (arxiv.org)

Dictionary-Guided Mutation Operators for Automated HDL Repair (arxiv.org)

Agents That Model Agents: Five Principles Toward a Theory of Mind for 6G Networks (arxiv.org)

VakyArth: Evaluating Pragmatic Competence in LLMs across Indic Languages (arxiv.org)

OR-Transformer: Scaling Real-Time Decision-Making to 1,000 Items (arxiv.org)

Refining Heuristic-Based Bitcoin Address Clustering with Graph Neural Networks (arxiv.org)

IFW-BLS: Dual-Robust Broad Learning System with Intuitionistic Fuzzy Wave Loss (arxiv.org)

Rethinking the Teacher-Student Framework for Test-Time Adaptation (arxiv.org)

The Axiomatic Trader: Latent Regularity, Information Budgets, and the Canonical Form of a Quantitative Investment System (arxiv.org)

DiDrive: A Risk-Aware Hierarchical Diffusion Framework for Safe Offline Reinforcement Learning in Autonomous Driving (arxiv.org)

Prompt-Space Meta-Learning Does Not Transfer Across Users: A Frozen-LLM Negative Result (arxiv.org)

Architecting Conversational Data Systems for Stateless LLM APIs: The Hydration Proxy Pattern (arxiv.org)

Toward Explainable and Policy-Aware AI for Carbon Credit Price Prediction: A Research Framework for Emerging Carbon Markets (arxiv.org)

Sim2Signal: Sim-to-Real Benchmarks for Traffic Signal Control (arxiv.org)

A Survey on Self-Improving Test-Time Intelligence: Feedback-Driven Adapting, Learning, and Scaling at Inference (arxiv.org)

Reinforcement Learning and Rule-Based Peer-to-Peer Pricing in Residential PV-BES Communities (arxiv.org)

Median-of-Means as an Extremal Convex Estimator and a Nonconvex Route to the Trimmed Oracle (arxiv.org)

Tri-Band Channel Measurement-Enabled Multi-Layer Digital Twin for Terahertz Wireless Data Centers (arxiv.org)

Generative Diffusion Surrogates with Analytical Variance Schedule (arxiv.org)

CAT-Flow: Curvature-Adaptive sTeps for Flow Matching (arxiv.org)

Emergence of Fibrations, Compression, and Symmetry Breaking in Artificial Neural Networks (arxiv.org)

D-FROST: Decentralized Federated pRompt-tuning via Optimal tranSporT for Non-IID and Imbalanced Data (arxiv.org)

hLLM: Single Pass Decoding for Generative Reranking (arxiv.org)

Import What You Need: Learning When and How to Augment EHR Graphs with External Knowledge (arxiv.org)

OutageDiT: A Generative Foundation Model for Power Outage Forecasting and Scenario Simulation (arxiv.org)

CRISP: Cliff-awaRe Input-adaptive Sparse Prefilling with Structural-Mass-Motivated Routing (arxiv.org)

On-Policy Distillation Meets Off-Policy GRPO: Training Compact Instruction-Following Rerankers (arxiv.org)

Convergence Theory of Knowledge Distillation in Asynchronous P2P Gossip Learning Network (arxiv.org)

FlashKAN: B-Spline KANs via Truncated Power Form (arxiv.org)

A Unified Particle Filter LSTM for Data-Driven Process Simulation (arxiv.org)