Compositional Skill Routing for LLM Agents: Decompose, Retrieve, and Compose Paper • 2606.18051 • Published 27 days ago • 1
HYDRA-X: Native Unified Multimodal Models with Holistic Visual Tokenizers Paper • 2606.13289 • Published Jun 11 • 30
On Subquadratic Architectures: From Applications to Principles Paper • 2606.12364 • Published Jun 10 • 24
Redesign Mixture-of-Experts Routers with Manifold Power Iteration Paper • 2606.12397 • Published Jun 10 • 90
Demystifying Hidden-State Recurrence: Switchable Latent Reasoning with On-Policy Reinforcement Learning Paper • 2606.13106 • Published Jun 11 • 22
TRACE: A Unified Rollout Budget Allocation Framework for Efficient Agentic Reinforcement Learning Paper • 2606.11119 • Published Jun 9 • 19
N-GRPO: Embedding-Level Neighbor Mixing for Enhanced Policy Optimization Paper • 2606.10768 • Published Jun 9 • 25
MaxProof: Scaling Mathematical Proof with Generative-Verifier RL and Population-Level Test-Time Scaling Paper • 2606.13473 • Published Jun 11 • 93
MoVerse: Real-Time Video World Modeling with Panoramic Gaussian Scaffold Paper • 2606.13376 • Published Jun 11 • 16
World Model Self-Distillation: Training World Models to Solve General Tasks Paper • 2606.12072 • Published Jun 10 • 15
World Pilot: Steering Vision-Language-Action Models with World-Action Priors Paper • 2606.12403 • Published Jun 10 • 27
One Token per Multimodal Evidence: Latent Memory for Resource-Constrained QA Paper • 2606.10572 • Published Jun 9 • 17
Attention Amnesia in Hybrid LLMs: When CoT Fine-Tuning Breaks Long-Range Recall, and How to Fix It Paper • 2606.11052 • Published Jun 9 • 17
Echo-Memory: A Controlled Study of Memory in Action World Models Paper • 2606.09803 • Published Jun 8 • 33
SearchSwarm: Towards Delegation Intelligence in Agentic LLMs for Long-Horizon Deep Research Paper • 2606.09730 • Published Jun 8 • 55
Bayesian-Agent: Posterior-Guided Skill Evolution for LLM Agent Harnesses Paper • 2606.08348 • Published Jun 6 • 16
EEVEE: Towards Test-time Prompt Learning in the Real World for Self-Improving Agents Paper • 2606.11182 • Published Jun 9 • 19
Retrospective Harness Optimization: Improving LLM Agents via Self-Preference over Trajectory Rollouts Paper • 2606.05922 • Published Jun 4 • 70