--- title: "Zhiwei He — author profile and papers" description: "Zhiwei He, Tongji University: 3 papers on Elamur Research (2023–2024), h-index 4 — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/zhiwei-he/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/zhiwei-he/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Zhiwei He # Zhiwei He 3 papers on this site · 2023–2024 current affiliation [Tongji University](https://ror.org/03rc6as71), Shanghai, China; [PLA Information Engineering University](https://ror.org/00mm1qk40), Zhengzhou, China; [Shanghai Jiao Tong University](https://ror.org/0220qvk04), Shanghai, China; [Tencent (China)](https://ror.org/00hhjss72), Shenzhen, China; [Anhui Normal University](https://ror.org/05fsfvw79), Wuhu, China Zhiwei He has 3 papers on this site, in 2023–2024, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/); often with [Rui Wang](https://md.research.elamur.ai/free/en/authors/rui-wang/), [Tian Liang](https://md.research.elamur.ai/free/en/authors/tian-liang/), [Zhaopeng Tu](https://md.research.elamur.ai/free/en/authors/zhaopeng-tu/). [OpenAlex](https://openalex.org/A5100669278) · [ORCID](https://orcid.org/0000-0002-4807-0062) · [**h-index 4**](https://openalex.org/authors/A5100669278) · [27 works](https://openalex.org/works?filter=author.id:A5100669278) · [476 citations](https://openalex.org/works?filter=author.id:A5100669278&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [3 works on this site](https://md.research.elamur.ai/free/en/authors/zhiwei-he/#papers) · [703 citations in our library](https://md.research.elamur.ai/free/en/authors/zhiwei-he/cited-by/) · 2 more works in our library The profile is the library's match of the name; two people with one name are not always told apart. Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Zhiwei+He) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Zhiwei+He) · [dblp](https://dblp.org/search?q=Zhiwei+He) · [ACL Anthology](https://aclanthology.org/search/?q=Zhiwei+He) ## Affiliations - [Shanghai Jiao Tong University](https://ror.org/0220qvk04) · Shanghai, China —current · 2022–2025 on 17 papers - [Tencent (China)](https://ror.org/00hhjss72) · Shenzhen, China —current · 2024–2025 on 3 papers - [Anhui Normal University](https://ror.org/05fsfvw79) · Wuhu, China —current · 2025 on 1 paper - [PLA Information Engineering University](https://ror.org/00mm1qk40) · Zhengzhou, China —current · 2025 on 1 paper - [Tongji University](https://ror.org/03rc6as71) · Shanghai, China —current · 2025 on 1 paper From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 4 more institutions on single bylines are not listed. ## Topics [Language models & pretraining 1](https://md.research.elamur.ai/free/en/topics/language-models/) · [Reasoning 1](https://md.research.elamur.ai/free/en/topics/reasoning/) ## Papers The most cited first (OpenAlex and our library). 1. **[Encouraging Divergent Thinking in Large Language Models through Multi-Agent Debate](https://md.research.elamur.ai/free/en/papers/liang-2023-encouraging-divergent-thinking-large-language/)** *(2023 · 643 citations)* The paper examines why self-reflection, where an LLM repeatedly critiques and revises its own answer, often fails on hard reasoning problems. 2. **[Exploring Human-Like Translation Strategy with Large Language Models](https://md.research.elamur.ai/free/en/papers/he-2024-exploring-human-like-translation-strategy/)** *(2024 · 207 citations)* Typical machine translation maps a source sentence directly to a target sentence. Professional translators usually prepare first: they identify key terms, work out the subject, and look at similar examples. This paper asks whether large language models can follow a comparable workflow. The authors propose MAPS… 3. **[Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs](https://md.research.elamur.ai/free/en/papers/chen-2024-think-that-much-2-3/)** *(2024 · 188 citations)* Reasoning models in the o1 family get better accuracy by writing very long chains of thought. This paper argues that much of that extra test-time compute is wasted. The authors call the waste "overthinking": after a model already has the right answer to a trivial question, it keeps producing new solution attempts.… ## Also in our library 2 more works of theirs are in our library without a page here yet; they will appear as we publish them. ## Co-authors here 11 co-authors with a page, the most papers together first. - [Rui Wang](https://md.research.elamur.ai/free/en/authors/rui-wang/) ×3 - [Tian Liang](https://md.research.elamur.ai/free/en/authors/tian-liang/) ×3 - [Zhaopeng Tu](https://md.research.elamur.ai/free/en/authors/zhaopeng-tu/) ×3 - [Shuming Shi](https://md.research.elamur.ai/free/en/authors/shuming-shi/) ×2 - [Wenxiang Jiao](https://md.research.elamur.ai/free/en/authors/wenxiang-jiao/) ×2 - [Xing Wang](https://md.research.elamur.ai/free/en/authors/xing-wang/) ×2 - [Yujiu Yang](https://md.research.elamur.ai/free/en/authors/yujiu-yang/) ×2 - [Zhuosheng Zhang](https://md.research.elamur.ai/free/en/authors/zhuosheng-zhang/) ×2 - [Dian Yu](https://md.research.elamur.ai/free/en/authors/dian-yu/) - [Linfeng Song](https://md.research.elamur.ai/free/en/authors/linfeng-song/) - [Yan Wang](https://md.research.elamur.ai/free/en/authors/yan-wang/) ## Cited by Papers of our library cite their works 703 times (of the 140 884 papers whose bibliographies we read); [36 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/zhiwei-he/cited-by/).