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Zhenting Qi

Zhenting Qi has 2 papers in our library, in 2022–2026, most of them on Language models & pretraining, Reasoning; often with Aounon Kumar, David Peng, Hailey Schoelkopf.

2 papers in our library · 2022–2026

OpenAlex · h-index 8 · 35 works · 169 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 276 times in our library · 3 more in our library without a page yet · ⭐ Paper Stars ranking: #5532

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

🎓Harvard UniversityCambridge · United States2022–2026 · 20 paperscurrent🏢Capital OneTysons Corner · United States2026 · 1 papercurrent🏢GoogleMountain View · United States2026 · 1 papercurrent🏢Red HatRaleigh · United States2026 · 1 papercurrent🎓Zhejiang UniversityHangzhou · China2022–2023 · 9 papers🎓Fudan UniversityShanghai · China2023 · 2 papers🎓Shanghai University of Engineering ScienceShanghai · China2023 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution on single bylines are not listed.

 Fields, topics and concepts

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

📚 Shelves 6The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksComputer Science · 2 worksArts and Humanities · 1 workLanguage and Linguistics · 1 workSafety Research · 1 workSocial Sciences · 1 work

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

 Works by year

2020s

20261 paper20221 paper

 Papers

The most cited first (OpenAlex and our library).

  1. FOLIO: Natural Language Reasoning with First-Order Logic (2022 · 219 citations)
    Current benchmarks for logical reasoning in language models tend to be synthetic, use small vocabularies, involve shallow reasoning, or mix logic with other skills such as commonsense.
  2. Generalizing Trust: Weak-to-Strong Trustworthiness in Language Models (2026)
    In high-stakes areas such as medicine, ground-truth labels are often missing, noisy or biased, so models must learn from imperfect supervision.

All works

5 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

  1. FOLIO: Natural Language Reasoning with First-Order LogicarXiv:2209.00840Simeng Han, Hailey Schoelkopf, Yilun Zhao, et al.2022 · 219 citations
  2. Mutual Reasoning Makes Smaller LLMs Stronger Problem-Solvers ↗arXiv:2408.06195 · no summary yetZhenting Qi et al.2024 · 74 citations
  3. Satori: Reinforcement Learning with Chain-of-Action-Thought Enhances LLM Reasoning via Autoregressive Search ↗arXiv:2502.02508 · no summary yetMaohao Shen et al.2025 · 13 citations
  4. MoCo: A One-Stop Shop for Model Collaboration Research ↗arXiv (Cornell University) · no summary yetShangbin Feng et al.2026 · 3 citations
  5. Generalizing Trust: Weak-to-Strong Trustworthiness in Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Lillian Sun, Martin Pawelczyk, Zhenting Qi, et al.2026

 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 276 times (of the 149,439 papers whose bibliographies we read); 61 citing papers with a page here →.

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