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Qi Han

Qi Han has 2 papers in our library, in 2025–2026, most of them on Evaluation & benchmarks, Reasoning; often with Yinmin Zhang, Chengyuan Yao, Daxin Jiang.

2 papers in our library · 2025–2026

OpenAlex · h-index 0 · 4 works · 0 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 127 times in our library · ⭐ Paper Stars ranking: #6467

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

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. Open-Reasoner-Zero: An Open Source Approach to Scaling Up Reinforcement Learning on the Base Model (2025 · 128 citations)
    DeepSeek-R1-Zero showed that reinforcement learning applied directly to a base language model can steadily improve reasoning, but its training recipe was only briefly described and not reproducible.
  2. PRIME: A Process-Outcome Alignment Benchmark for Verifiable Reasoning in Mathematics and Engineering (2026)
    RLVR (reinforcement learning with verifiable rewards) relies on verifiers that usually check only whether a model's final answer matches the reference.

 Co-authors here

9 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 127 times (of the 149,439 papers whose bibliographies we read); 37 citing papers with a page here →.

Updated

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