AI News

CWF: A Collaborative Writing Framework for Personalized and Reliable Popular Science Writing (arxiv.org)

SAP: State-Guided Data Synthesis with Argument Provenance for Multi-Turn Tool Use (arxiv.org)

LayerRoute: Action-Conditioned Mixture-of-Layers Routing for Vision-Language-Action Policies (arxiv.org)

Generating Instance Generators in PDDL Planning (arxiv.org)

Explaining AI Agents Through Execution Traces (arxiv.org)

DAREBench: Deployment-Aware and Reliable Evaluation of Models as Agents (arxiv.org)

A Translational Note on AI Safety Evaluation (arxiv.org)

Generator-Independent Runtime Assurance under Partial Observation (arxiv.org)

Agentic Pressure: The Endogenous Entropy of Reliable Autonomy (arxiv.org)

MOAE: Multi-Objective Agent Evolution with Pareto-Preserving Search (arxiv.org)

Beyond Final Decisions: A Process-Centric Benchmark for Transparent AI-Assisted Peer Review (arxiv.org)

Behavioral Grammar: Detecting Adaptive Malware via Tiny Language Model Priors and Second-Order Temporal Analysis (arxiv.org)

The End of AI Exponentiation: Fluttering Inside and Outside AI Bubble (arxiv.org)

Multimodal Resource-Exhaustion Attacks on Vision-Language Models via Joint Pixel-Prompt Optimization (arxiv.org)

AgentBrew: Offline Tool-Use Agent Learning from Raw Real-World Trajectories (arxiv.org)

The Emerging AI Paper-Review Arms Race: Adversarial Co-Evolution in Scholarly Publishing (arxiv.org)

It Is Not My Code Anymore (arxiv.org)

Aegix Pulse: A Traceable Three-Stage Architecture for Personalized Content Generation and Context-Preserving Revision (arxiv.org)

Norms at a Price: Why RL-Based Alignment Can Promise Conditional Compliance at Best (arxiv.org)

AgentIdeaBench: Benchmarking Scientific Ideation in the Agent Era (arxiv.org)

FinCUABuild: Can Agents Build Reliable Benchmarks for Dynamic Financial Computer Use? (arxiv.org)

From Simulated Citizens to Simulated Deliberation: Challenges in Representation and Interaction (arxiv.org)

Quantile-Led Feature Extraction for Multi-Horizon Predictive Maintenance in Industrial Manufacturing Systems (arxiv.org)

Modus Tollens and Counterfactuals and Counterfactual Reasoning Based on Three Types of Negation (arxiv.org)

The Internal Anatomy of Strategic Choice in Large Language Models (arxiv.org)

CIT-CAD: Constraint Intent Tree-based CAD Code Generation and Verification (arxiv.org)

A Tool-Augmented, GPT-4 Chatbot for Real-Time Repository Data Analysis (arxiv.org)

RAFM-SER++: A Lightweight Multimodal Emotion Recognition Framework for Real-Time Behavioral Monitoring in Surveillance Systems (arxiv.org)

Human-like moral judgments conceal divergent motive attributions in large language models (arxiv.org)

AAS-RAIL: Improving Information Extraction for Asset Administration Shells through Retrieval-Augmented In-Context Learning (arxiv.org)

DGCPath: Distribution-Aware Generative Contrastive Framework for Self-supervised Path Representation Learning -- Extended Version (arxiv.org)

APPSim-Bench: Bridging Real-world Apps and Reproducible Evaluation for Mobile GUI Agents (arxiv.org)

Weakly supervised neural network: segmentation of complex structures in X-ray microCT (arxiv.org)

Adaptive Cost-Sensitive Machine Learning for Autonomous Robot Navigation Failure Prediction: When Not All Errors Are Equal (arxiv.org)

World Models Under Asynchronous Sensor Observations (arxiv.org)

SkillAlign: Aligning Skill Interfaces for LLM-based Agents (arxiv.org)

Elastic Horizon: Discovering the Effective Interaction Frontier in Agentic Reinforcement Learning (arxiv.org)

IXPLORE: Bounded Ideal Point Estimation with Grid-Based Uncertainty Quantification (arxiv.org)

Trust-But-Verify: Poisoning-Resilient Locally Private Graph Learning Protocols (arxiv.org)

PhysSAE: Mechanistic Interpretability with Sparse Autoencoders (arxiv.org)

Long-Horizon Language Model Reinforcement Learning via Progressive Point Matching (arxiv.org)

TrojanWorld: Backdooring World-Model Agents via Imagination Steering (arxiv.org)

AI and TCAD for Inverse Design and Defect Discovery: From Simple Machine Learning to LLM (arxiv.org)

Disentangling Steering Vectors (arxiv.org)

Efficient Learning and Symmetry Discovery under Exact Invariances (arxiv.org)

NeuCME: Toward Dynamic Multimodal Continual Learning via Neural Combinatorics of Multiple Experts (arxiv.org)

Continual Learning Mechanisms Compose for Long-Horizon Memorization (arxiv.org)

AF-Mamba: Efficient Long-Term Signal Modeling for Early Prediction of Atrial Fibrillation Onset (arxiv.org)

Fine-grained Distributed Backdoor Attacks in Federated Learning (arxiv.org)

Steering Interference Reflects the Model's Defaults, Not the Behavior Directions (arxiv.org)