Reinforcement Learning with Verifiable Physics: Post-training LLMs with Continuous Rewards
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Learning the Brain's Dynamics as a Port-Hamiltonian System
Large Language Models in Misinformation Ecosystems: Misuse, Defense, and Vulnerability
A Stepwise Questioning Expert-Editor Multi-Agent Framework for Long-Document Summarization
Program-Synthesis-Driven Autodesign of Universal Unitary Operators
When Does Depth Survive Composition? Compute--Quality Regimes in Latent World Models
ABot-N1: Toward a General Visual Language Navigation Foundation Model
VINE: Taming Generative Control Policies for Reinforcement Learning
A Hyperbolic Neural Closure for M1 Radiation Transfer
AI YOU Town: Make Friends and Money with Your Digital Twin
Laguerre Geometry for Interpreting Large Language Models
SCALECUA: Scaling Computer Use Agents with Verifiable Task Synthesis and Efficient Online…
Who&When Pro: Can LLMs Really Attribute Failures in AI Agents?
Enhancing Query Efficiency for d-DNNF Representations Through Preprocessing
HCRMap: Pressure-Aware Hot-Expert Residency Mapping for 3.5D MoE Chiplet Inference
Lesioned Multimodal Language Models Reproduce Aphasic Picture-Naming Patterns
Efficient Test-Time Optimization for Multi-Agent Proof Autoformalization
Source-Lifted Flow Matching for Intervenable Multimodal Imitation
Heterogeneous Agent Cohorts for Safe Open-Ended Exploration with Runtime Constraint Memory
Bringing Back Rule Induction to Fluid Intelligence Research? An Initial Validation of the…
Verifier-Guided Twelve-Tone Composition: A Generate-Verify-Repair Harness for Symbolic Mu…
From Neural Network Decisions to Training Cases: An Exact Account via Case-Based Decision…
OmniSCS: Omni Safety-Critical Scenario Synthesis for Autonomous Driving via a Fully Edita…
Maximizing Human Efficiency in Large-Scale Robot Post-Training via VLAC-Cut Guided Pipeli…
A Comprehensive Survey and Systematic Real-World Evaluation of Embodied Vision-and-Langua…
Large Multimodal Model-Based Environment-Aware Mobility Management
Think Through a Bottleneck: Hourglass Reasoning for Rigorous Induction
Knowledge Graphs Meet Graph Neural Networks: A Comprehensive Survey
Robo-ValueRL: Reliable Value Estimation for Offline-to-Online Reinforcement Learning
CLIR-Bench: Benchmarking Multimodal Question Answering over Irregular Clinical Time Series