---
title: "Bosi Wen — author profile and papers — Elamur Research"
description: "Bosi Wen, Zhipu AI: 3 papers on Elamur Research (2023), h-index 6 — affiliations, topics, co-authors and who cites them in our library."
canonical: "https://research.elamur.ai/free/en/authors/bosi-wen/"
---
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# Bosi Wen

Bosi Wen has 3 papers in our library, in 2023, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Dialogue systems](https://md.research.elamur.ai/free/en/topics/dialogue-systems/); often with [Jiale Cheng](https://md.research.elamur.ai/free/en/authors/jiale-cheng/), [Pei Ke](https://md.research.elamur.ai/free/en/authors/pei-ke/), [Shengyuan Wang](https://md.research.elamur.ai/free/en/authors/shengyuan-wang/).

3 papers in our library · 2023

[OpenAlex](https://openalex.org/A5091647182) · [**h-index 6**](https://openalex.org/authors/A5091647182) · [34 works](https://openalex.org/works?filter=author.id:A5091647182) · [111 citations](https://openalex.org/works?filter=author.id:A5091647182&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/bosi-wen/#papers) · [🔗 Cited 394 times in our library](https://md.research.elamur.ai/free/en/authors/bosi-wen/cited-by/) · [2 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #4650](https://md.research.elamur.ai/free/en/paper-stars/page/47/#star-4650)

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=Bosi+Wen) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Bosi+Wen) · [dblp](https://dblp.org/search?q=Bosi+Wen) · [ACL Anthology](https://aclanthology.org/search/?q=Bosi+Wen)

## Affiliations

[🎓**Tsinghua University** Beijing · China 2021–2026 · 26 papers*current*](https://md.research.elamur.ai/free/en/universities/tsinghua-university/) · [🏢**Zhipu AI** Beijing 2023–2026 · 6 papers*current*](https://md.research.elamur.ai/free/en/companies/zhipu-ai/)

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

## Concepts, shelves and topics

Of its works in our library: the number of works on each and its rating among them.

📚 Shelves 5 The field of science this work belongs to (OpenAlex fields).[Arts and Humanities · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/)

🧭 Topics 2 Research subjects and languages the work is about.[Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) · [Dialogue systems · 1 work](https://md.research.elamur.ai/free/en/topics/dialogue-systems/)

## Works by year

### 2020s

[**2023** 3 papers Bosi Wen's papers of 2023](https://md.research.elamur.ai/free/en/authors/bosi-wen/year/2023/)

## Papers

The most cited first (OpenAlex and our library).

1. **[AlignBench: Benchmarking Chinese Alignment of Large Language Models](https://md.research.elamur.ai/free/en/papers/liu-2023-alignbench-benchmarking-chinese-alignment/)** *(2023 · 73 citations)* Chinese benchmarks such as C-Eval and CMMLU score exam-style knowledge. They do not show whether an instruction-tuned model handles real user requests well. LLM-as-Judge suites like AlpacaEval and MT-Bench, meanwhile, exist only in English. AlignBench fills this gap with 683 Chinese queries taken mostly from an…
2. **[CritiqueLLM: Towards an Informative Critique Generation Model for Evaluation of Large Language Model Generation](https://md.research.elamur.ai/free/en/papers/ke-2023-critiquellm-informative-critique-generation/)** *(2023 · 68 citations)* LLM-based evaluators trained on critiques that GPT-4 produces through direct prompting often give vague, generic judgments. The problem is worst when no reference answer is available. This paper presents Eval-Instruct, a pipeline for building more informative training data for critique generation.
3. **[CharacterGLM: Customizing Chinese Conversational AI Characters with Large Language Models](https://md.research.elamur.ai/free/en/papers/zhou-2023-characterglm-customizing-chinese-conversational-ai/)** *(2023 · 59 citations)* General-purpose LLMs are mostly trained on short, task-oriented exchanges. As a result, they handle long social conversations poorly, especially when asked to stay in a specific persona. Prompting them to role-play tends to lose consistency and liveliness over many turns. Classic persona-based dialogue covers only…

## All works

5 works of theirs in our library, the most cited first; 3 with a page here, the others link their original until we summarise them.

1. [**AlignBench: Benchmarking Chinese Alignment of Large Language Models arXiv:2311.18743**Xiao Liu, Xuanyu Lei, Shengyuan Wang, et al.*2023 · 73 citations*](https://md.research.elamur.ai/free/en/papers/liu-2023-alignbench-benchmarking-chinese-alignment/)
2. [**CritiqueLLM: Towards an Informative Critique Generation Model for Evaluation of Large Language Model Generation arXiv:2311.18702**Pei Ke, Bosi Wen, Zhuoer Feng, et al.*2023 · 68 citations*](https://md.research.elamur.ai/free/en/papers/ke-2023-critiquellm-informative-critique-generation/)
3. **[ToMBench: Benchmarking Theory of Mind in Large Language Models](https://aclanthology.org/2024.acl-long.847/) Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · original ↗ · no summary yet**Zhuang Chen et al.*2024 · 60 citations*
4. [**CharacterGLM: Customizing Chinese Conversational AI Characters with Large Language Models arXiv:2311.16832**Jinfeng Zhou, Zhuang Chen, Dazhen Wan, et al.*2023 · 59 citations*](https://md.research.elamur.ai/free/en/papers/zhou-2023-characterglm-customizing-chinese-conversational-ai/)
5. **[IF-RewardBench: Benchmarking Judge Models for Instruction-Following Evaluation](https://aclanthology.org/2026.acl-long.1092/) Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · original ↗ · no summary yet**Bosi Wen et al.*2026 · 1 citation*

## Co-authors here

12 of 19 co-authors with a page, the most papers together first.

- [Jiale Cheng](https://md.research.elamur.ai/free/en/authors/jiale-cheng/) ×2
- [Pei Ke](https://md.research.elamur.ai/free/en/authors/pei-ke/) ×2
- [Shengyuan Wang](https://md.research.elamur.ai/free/en/authors/shengyuan-wang/) ×2
- [Xiao Liu](https://md.research.elamur.ai/free/en/authors/xiao-liu/) ×2
- [Xiaohan Zhang](https://md.research.elamur.ai/free/en/authors/xiaohan-zhang/) ×2
- [Xuanyu Lei](https://md.research.elamur.ai/free/en/authors/xuanyu-lei/) ×2
- [Zhuoer Feng](https://md.research.elamur.ai/free/en/authors/zhuoer-feng/) ×2
- [Aohan Zeng](https://md.research.elamur.ai/free/en/authors/aohan-zeng/)
- [Hongning Wang](https://md.research.elamur.ai/free/en/authors/hongning-wang/)
- [Jie Tang](https://md.research.elamur.ai/free/en/authors/jie-tang/)
- [Lichao Sun](https://md.research.elamur.ai/free/en/authors/lichao-sun/)
- [Minlie Huang](https://md.research.elamur.ai/free/en/authors/minlie-huang/)

## Venues

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

- Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) ×2

## Cited by

Papers of our library cite their works 394 times (of the 141,840 papers whose bibliographies we read); [22 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/bosi-wen/cited-by/).

Updated 24 October 2026
