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Tian Xie

Tian Xie has 2 papers in our library, in 2025–2026, most of them on Reasoning, Language models & pretraining; often with Chong Luo, Bryan Dai, Dongyan Zhao.

2 papers in our library · 2025–2026

OpenAlex · ORCID · h-index 9 · 32 works · 309 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 98 times in our library · ⭐ Paper Stars ranking: #7853

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

🎓University of Science and Technology of ChinaHefei · China2018–2026 · 9 paperscurrent🏛️Guangzhou LaboratoryGuangzhou2025–2026 · 2 paperscurrent🏥University Medical Center GroningenGroningen · Netherlands2025–2026 · 2 paperscurrent🎓University of GroningenGroningen · Netherlands2026 · 1 papercurrent🔬State Key Laboratory of Fire ScienceHefei2018–2021 · 7 papers🎓Ludong UniversityYantai · China2020–2021 · 3 papers🎓Nanjing University of Posts and TelecommunicationsNanjing · China2023–2024 · 2 papers🏢WengFu GroupGuiyang · China2024 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 5 more institutions on single bylines are not listed.

 Fields, topics and concepts

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

📚 Shelves 4The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksArts and Humanities · 2 worksComputer Science · 2 worksLanguage and Linguistics · 2 works

🧭 Topics 2Research subjects and languages the work is about.Reasoning · 2 worksLanguage models & pretraining · 1 work

 Works by year

2020s

20261 paper20251 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Logic-RL: Unleashing LLM Reasoning with Rule-Based Reinforcement Learning (2025 · 104 citations)
    Logic-RL tests whether the rule-based reinforcement learning (RL) approach behind DeepSeek-R1 can be reproduced with a smaller model, and what training data supports it best.
  2. Shorten After You're Right: Lazy Length Penalties for Reasoning RL (2026)
    Reasoning models trained with rule-based on-policy reinforcement learning tend to produce longer and longer outputs.

 Co-authors here

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

Venues

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

 Cited by

Papers of our library cite their works 98 times (of the 149,439 papers whose bibliographies we read); 38 citing papers with a page here →.

Updated

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