The Mirage of Optimizing Training Policies: Monotonic Inference Policies as the Real Objective for LLM Reinforcement Learning Paper • 2606.29526 • Published 10 days ago • 157
The Arbiter Agent: Continually Monitoring Multi-Agent Conversations to Detect Emergent Misalignment Paper • 2606.10747 • Published 29 days ago • 13
Embodied-R1.5: Evolving Physical Intelligence via Embodied Foundation Models Paper • 2606.11324 • Published 29 days ago • 170
OmniDirector: General Multi-Shot Camera Cloning without Cross-Paired Data Paper • 2606.13432 • Published 27 days ago • 113
Gamma-World: Generative Multi-Agent World Modeling Beyond Two Players Paper • 2605.28816 • Published May 27 • 431
CRONOS: Benchmarking Counterfactual Physical Consistency in Video Models Paper • 2605.23699 • Published May 22 • 11
Coloring the Noise: Adversarial Sobolev Alignment for Faithful Image Super Resolution Paper • 2605.23264 • Published May 22 • 7
TransitLM: A Large-Scale Dataset and Benchmark for Map-Free Transit Route Generation Paper • 2605.22355 • Published May 21 • 179
DelTA: Discriminative Token Credit Assignment for Reinforcement Learning from Verifiable Rewards Paper • 2605.21467 • Published May 20 • 207
Flash-GRPO: Efficient Alignment for Video Diffusion via One-Step Policy Optimization Paper • 2605.15980 • Published May 15 • 36
IndusAgent: Reinforcing Open-Vocabulary Industrial Anomaly Detection with Agentic Tools Paper • 2605.20682 • Published May 20 • 85
From Context to Skills: Can Language Models Learn from Context Skillfully? Paper • 2604.27660 • Published May 3 • 171
SIM1: Physics-Aligned Simulator as Zero-Shot Data Scaler in Deformable Worlds Paper • 2604.08544 • Published Apr 9 • 16
GrandCode: Achieving Grandmaster Level in Competitive Programming via Agentic Reinforcement Learning Paper • 2604.02721 • Published Apr 3 • 638
CARLA-Air: Fly Drones Inside a CARLA World -- A Unified Infrastructure for Air-Ground Embodied Intelligence Paper • 2603.28032 • Published Mar 30 • 344