AI News

Deep Tree Tensor Networks (arxiv.org)

FIT-Print: Towards False-claim-resistant Model Ownership Verification via Targeted Fingerprint (arxiv.org)

Complement or substitute? How AI increases the demand for human skills (arxiv.org)

Strategic Integration of Artificial Intelligence in the C-Suite: The Role of the Chief AI Officer (arxiv.org)

Rule-based autocorrection of Piping and Instrumentation Diagrams (P&IDs) on graphs (arxiv.org)

GRPO Does Not Close the Multi-Agent Coordination Gap (arxiv.org)

Latent Structural Categorical Matrix Completion with Application to Quasispecies Analysis (arxiv.org)

Toward autocorrection of chemical process flowsheets using large language models (arxiv.org)

Towards Automated Kernel Generation in the Era of LLMs (arxiv.org)

Lattice: A Confidence-Gated Hybrid System for Uncertainty-Aware Sequential Prediction with Behavioral Archetypes (arxiv.org)

Aperon Technical Report: Hierarchical No-Pointer Tangent-Local Search for High-Dimensional Approximate Nearest Neighbors (arxiv.org)

Enhancing Spatial Reasoning in Large Language Models for Metal-Organic Frameworks Structure Prediction (arxiv.org)

MMR-GRPO: Accelerating GRPO-Style Training through Diversity-Aware Reward Reweighting (arxiv.org)

Revisiting Training Scale: An Empirical Study of Token Count, Power Consumption, and Parameter Efficiency (arxiv.org)

IGenBench: Benchmarking the Reliability of Text-to-Infographic Generation (arxiv.org)

Reward Shaping for (Inference-Time) Alignment: A Stackelberg Game Perspective (arxiv.org)

Continuous Language Diffusion as a Decoder-Interface Problem (arxiv.org)

ATLAS: Verifier-Guided Adaptive Latent Activation Steering for Efficient LLM Reasoning (arxiv.org)

Adversarial Instance Generation and Robust Training for Neural Combinatorial Optimization with Multiple Objectives (arxiv.org)

FADTI: Fourier and Attention Driven Diffusion for Multivariate Time Series Imputation (arxiv.org)

Developing Distance-Aware Physics-Constrained Probabilistic Frameworks for Industrial Prognostics (arxiv.org)

Advancing Mathematics Research with AI-Driven Formal Proof Search (arxiv.org)

MBABench: Evaluating LLM Agents on End-to-End Spreadsheet Tasks in Finance (arxiv.org)

Goal-Oriented Reasoning for RAG-based Memory in Conversational Agentic LLM Systems (arxiv.org)

Engagement Process: Rethinking the Temporal Interface of Action and Observation (arxiv.org)

Executable World Models for ARC-AGI-3 in the Era of Coding Agents (arxiv.org)

OptMuon: Closed-Loop Orthogonalized Momentum Methods for Stochastic Optimization with Zero-Noise Optimality (arxiv.org)

EvoMaster: A Foundational Evolving Agent Framework for Agentic Science at Scale (arxiv.org)

Web Agents Should Use Typed Actions Instead of Click-Based Browsing (arxiv.org)

TAME: A Trustworthy Test-Time Evolution of Agent Memory with Systematic Benchmarking (arxiv.org)

Language-based Trial and Error Falls Behind in the Era of Experience (arxiv.org)

Payoff scaling shapes cooperation in LLM agents across languages (arxiv.org)

Dynamic Distributed Constraint Optimization and Metareasoning for Continual, Large-Scale Satellite Operations (arxiv.org)

Thinking-Based Non-Thinking: Solving the Reward Hacking Problem in Training Hybrid Reasoning Models via Reinforcement Learning (arxiv.org)

MeCo: One-Step MeanFlow-based Corrector for Multi-Channel Speech Separation (arxiv.org)

SAD-Flower: Flow Matching for Safe, Admissible, and Dynamically Consistent Planning (arxiv.org)

Benchmark Datasets for Lead-Lag Forecasting on Social Platforms (arxiv.org)

SmartMixed: A Two-Phase Training Strategy for Adaptive Activation Function Learning in Neural Networks (arxiv.org)

VFEM: Visual Feature Empowered Multivariate Time Series Forecasting with Cross-Modal Fusion (arxiv.org)

Multi-resolution Enhancement for Full Spectrum Neural Representations (arxiv.org)

ATN3D: Density-Aware LiDAR-Radar Early 3D Object Detection Under Extreme Sparsity (arxiv.org)

Powering the Future of AI: Navigating the Trade-offs for Europe's Energy Transition and Net-Zero Goals (arxiv.org)

AGENTSERVESIM: A Hardware-aware Simulator for Multi-Turn LLM Agent Serving (arxiv.org)

Shape Formation for the Cooperative Transportation of Arbitrary Objects Using Multi-Agent Reinforcement Learning (arxiv.org)

I Was Scrolling and Then I Saw a Pregnant Strawberry (arxiv.org)

Seeing the Hivemind: A Consensus-Aware Interaction Technique for Mitigating AI Homogenization (arxiv.org)

In-Context Reinforcement Learning via Communicative World Models (arxiv.org)

CT-VAM: A Cerebello-Thalamic-Inspired Vision-Action Model for Efficient Visuomotor Control (arxiv.org)

FuseFSS: Efficient Secure LLM Inference with Function Secret Sharing (arxiv.org)

SecureClaw: Clawing Back Control of LLM Agents (arxiv.org)