Single-Rollout Asynchronous Optimization for Agentic Reinforcement Learning Paper • 2607.07508 • Published 22 days ago • 26
The Mirage of Optimizing Training Policies: Monotonic Inference Policies as the Real Objective for LLM Reinforcement Learning Paper • 2606.29526 • Published Jun 28 • 170
Speaking the Language of Science: Toward a General-Purpose Generative Foundation Model for the Natural Sciences Paper • 2606.16905 • Published Jun 15 • 7
KVarN: Variance-Normalized KV-Cache Quantization Mitigates Error Accumulation in Reasoning Tasks Paper • 2606.03458 • Published Jun 2 • 69
Balancing Fidelity and Diversity in Diffusion Models via Symmetric Attention Decomposition: Hopfield Perspective Paper • 2605.27476 • Published May 26 • 20
Gamma-World: Generative Multi-Agent World Modeling Beyond Two Players Paper • 2605.28816 • Published May 27 • 433
GQLA: Group-Query Latent Attention for Hardware-Adaptive Large Language Model Decoding Paper • 2605.15250 • Published May 14 • 14
From Web to Pixels: Bringing Agentic Search into Visual Perception Paper • 2605.12497 • Published May 12 • 14
V-GRPO: Online Reinforcement Learning for Denoising Generative Models Is Easier than You Think Paper • 2604.23380 • Published Apr 25 • 4
What Makes an LLM a Good Optimizer? A Trajectory Analysis of LLM-Guided Evolutionary Search Paper • 2604.19440 • Published Apr 21 • 5
Adam's Law: Textual Frequency Law on Large Language Models Paper • 2604.02176 • Published Apr 2 • 510
GrandCode: Achieving Grandmaster Level in Competitive Programming via Agentic Reinforcement Learning Paper • 2604.02721 • Published Apr 3 • 639
LatentUM: Unleashing the Potential of Interleaved Cross-Modal Reasoning via a Latent-Space Unified Model Paper • 2604.02097 • Published Apr 2 • 32
CARLA-Air: Fly Drones Inside a CARLA World -- A Unified Infrastructure for Air-Ground Embodied Intelligence Paper • 2603.28032 • Published Mar 30 • 344
InCoder-32B: Code Foundation Model for Industrial Scenarios Paper • 2603.16790 • Published Mar 17 • 312
Bootstrapping Exploration with Group-Level Natural Language Feedback in Reinforcement Learning Paper • 2603.04597 • Published Mar 4 • 211
From Blind Spots to Gains: Diagnostic-Driven Iterative Training for Large Multimodal Models Paper • 2602.22859 • Published Feb 26 • 150
Does Your Reasoning Model Implicitly Know When to Stop Thinking? Paper • 2602.08354 • Published Feb 9 • 267