Author

Xiangyuan Xue

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#artificial intelligence May 2026

StraTA: Incentivizing Agentic Reinforcement Learning with Strategic Trajectory Abstraction

StraTA is a simple framework that introduces an explicit trajectory-level strategy into agentic reinforcement learning (RL) and trains strategy generation and action execution jointly with a hierarchical GRPO-style rollout design, further enhanced by diverse strategy rollout and critical self-judgment.

Xiangyuan Xue, Yifan Zhou, Zidong Wang et al. · arXiv.org · 1 citation

#natural language process... Jun 2026

SciOrch: Learning to Orchestrate Expert LLMs for Solving Frontier Multimodal Scientific Reasoning Tasks

SciOrch is presented, a framework that trains a lightweight 8B model to orchestrate frontier LLMs for scientific reasoning, and attains the best accuracy on both SGI and SFE with less than half the API cost of typical multi-agent methods.

Jingru Guo, Xiangyuan Xue, Lian Zhang et al. · arXiv.org · 0 citations