🧑‍🔬 Xiaoxi Jiang

🏛️ Affiliations

🏢Alibaba GroupHangzhou · China2025–2026 · 13 paperscurrent

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine.

🧭 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📅 Works by year

2020s

📄 Papers

The most cited first (OpenAlex and our library).

1. Trace2Skill: Distill Trajectory-Local Lessons into Transferable Agent Skills (2026 · 12 citations)
   LLM agents increasingly depend on skill files, which are reusable documents describing procedures for a domain.
2. RiT: Rubrics-in-Thinking Reinforcement Learning for Improved Reasoning in Large Language Models (2026)
   Most reinforcement learning for large reasoning models rewards only the final answer. This can let flawed or shortcut reasoning go unpunished. Process reward models address this mainly in checkable domains such as math or code. RiT (Rubrics-in-Thinking RL) instead brings rubric-based supervision to the thinking trace…

🤝 Co-authors here

4 co-authors with a page, the most papers together first.

• Jingwei Ni
• Mengyu Zhou
• Yihao Liu
• Yutao Sun

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

• Findings of the Association for Computational Linguistics: Findings of the Association for Computational Linguistics 2026

🔗 Cited by

Papers of our library cite their works 11 times (of the 149,439 papers whose bibliographies we read); 2 citing papers with a page here →.

Updated 3 November 2026

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