---
title: "Pei Ke — author profile and papers — Elamur Research"
description: "Pei Ke, University of Electronic Science and Technology of China: 5 papers on Elamur Research (2020–2024), h-index 15 — affiliations…"
canonical: "https://research.elamur.ai/free/en/authors/pei-ke/"
---
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# Pei Ke

Pei Ke has 5 papers in our library, in 2020–2024, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Bias, fairness & safety](https://md.research.elamur.ai/free/en/topics/bias-fairness-safety/); often with [Minlie Huang](https://md.research.elamur.ai/free/en/authors/minlie-huang/), [Bosi Wen](https://md.research.elamur.ai/free/en/authors/bosi-wen/), [Hongning Wang](https://md.research.elamur.ai/free/en/authors/hongning-wang/).

5 papers in our library · 2020–2024

[OpenAlex](https://openalex.org/A5091491018) · [ORCID](https://orcid.org/0000-0001-7554-5636) · [**h-index 15**](https://openalex.org/authors/A5091491018) · [47 works](https://openalex.org/works?filter=author.id:A5091491018) · [1,007 citations](https://openalex.org/works?filter=author.id:A5091491018&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 5 works in our library](https://md.research.elamur.ai/free/en/authors/pei-ke/#papers) · [🔗 Cited 435 times in our library](https://md.research.elamur.ai/free/en/authors/pei-ke/cited-by/) · [4 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #3457](https://md.research.elamur.ai/free/en/paper-stars/page/35/#star-3457)

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

## Affiliations

[🎓**University of Electronic Science and Technology of China** Chengdu · China 2025–2026 · 6 papers*current*](https://md.research.elamur.ai/free/en/universities/university-of-electronic-science-and-technology-of-china/) · [🎓**Tsinghua University** Beijing · China 2018–2024 · 33 papers](https://md.research.elamur.ai/free/en/universities/tsinghua-university/) · [🔬**Beijing National Research Center for Information Science and Technology** Beijing · China 2018–2023 · 15 papers](https://md.research.elamur.ai/free/en/labs/beijing-national-research-center-for-information-science-and-technology/) · [🔬**State Key Laboratory of Intelligent Technology and Systems** Beijing 2019–2023 · 13 papers](https://md.research.elamur.ai/free/en/labs/state-key-laboratory-of-intelligent-technology-and-systems/) · [🔬**Viện Trí tuệ nhân tạo** Hanoi · Vietnam 2019–2023 · 7 papers](https://md.research.elamur.ai/free/en/labs/vien-tri-tue-nhan-tao/)

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 · 5 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 5 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 5 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 5 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 · 4 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Bias, fairness & safety · 2 works](https://md.research.elamur.ai/free/en/topics/bias-fairness-safety/)

## Works by year

### 2020s

[**2024** 1 paper Defending Large Language Models Against Jailbreaking Attacks Through Goal Prioritization](https://md.research.elamur.ai/free/en/papers/zhang-2024-defending-large-language-models-against/) · [**2023** 3 papers Pei Ke's papers of 2023](https://md.research.elamur.ai/free/en/authors/pei-ke/year/2023/) · [**2020** 1 paper CPM: A Large-scale Generative Chinese Pre-trained Language Model](https://md.research.elamur.ai/free/en/papers/zhang-2020-cpm-large-scale-generative/)

## Papers

The most cited first (OpenAlex and our library).

1. **[CPM: A Large-scale Generative Chinese Pre-trained Language Model](https://md.research.elamur.ai/free/en/papers/zhang-2020-cpm-large-scale-generative/)** *(2020 · 149 citations)* GPT-3 demonstrated strong few-shot and zero-shot abilities, but it is of limited use for Chinese because its training data is overwhelmingly English and its weights are closed.
2. **[Defending Large Language Models Against Jailbreaking Attacks Through Goal Prioritization](https://md.research.elamur.ai/free/en/papers/zhang-2024-defending-large-language-models-against/)** *(2024 · 112 citations)* The paper argues that jailbreaking attacks on LLMs succeed because models are tuned for two competing objectives, helpfulness and safety, without being told which one wins when they clash.
3. **[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…
4. **[Unveiling the Implicit Toxicity in Large Language Models](https://md.research.elamur.ai/free/en/papers/wen-2023-unveiling-implicit-toxicity-large-language/)** *(2023 · 71 citations)* Most red-teaming work on large language models looks for overtly abusive outputs, which standard toxicity detectors catch easily.
5. **[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.

## All works

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

1. **[CPM: A Large-scale Generative Chinese Pre-trained Language Model](https://md.research.elamur.ai/free/en/papers/zhang-2020-cpm-large-scale-generative/) [AI Open](https://md.research.elamur.ai/free/en/venues/ai-open/)**Zhengyan Zhang, Xu Han, Hao Zhou, et al.*2020 · 149 citations*
2. **[JointGT: Graph-Text Joint Representation Learning for Text Generation from Knowledge Graphs](https://aclanthology.org/2021.findings-acl.223/) Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021 · original ↗ · no summary yet**Pei Ke et al.*2021 · 131 citations*
3. **[Defending Large Language Models Against Jailbreaking Attacks Through Goal Prioritization](https://md.research.elamur.ai/free/en/papers/zhang-2024-defending-large-language-models-against/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zhexin Zhang, Junxiao Yang, Pei Ke, et al.*2024 · 112 citations*
4. **[CPM-2: Large-scale Cost-effective Pre-trained Language Models](https://arxiv.org/abs/2106.10715) arXiv:2106.10715 · original ↗ · no summary yet**Zhengyan Zhang et al.*2021 · 102 citations*
5. [**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/)
6. **[Unveiling the Implicit Toxicity in Large Language Models](https://md.research.elamur.ai/free/en/papers/wen-2023-unveiling-implicit-toxicity-large-language/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Jiaxin Wen, Pei Ke, Hao Sun, et al.*2023 · 71 citations*
7. **[Black-Box Prompt Optimization: Aligning Large Language Models without Model Training](https://aclanthology.org/2024.acl-long.176/) Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · original ↗ · no summary yet**Jiale Cheng et al.*2024 · 70 citations*
8. [**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/)
9. **[Click: Controllable Text Generation with Sequence Likelihood Contrastive Learning](https://aclanthology.org/2023.findings-acl.65/) Findings of the Association for Computational Linguistics: ACL 2023 · original ↗ · no summary yet**Chujie Zheng et al.*2023 · 28 citations*

## Co-authors here

12 of 29 co-authors with a page, the most papers together first.

- [Minlie Huang](https://md.research.elamur.ai/free/en/authors/minlie-huang/) ×3
- [Bosi Wen](https://md.research.elamur.ai/free/en/authors/bosi-wen/) ×2
- [Hongning Wang](https://md.research.elamur.ai/free/en/authors/hongning-wang/) ×2
- [Jiale Cheng](https://md.research.elamur.ai/free/en/authors/jiale-cheng/) ×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
- [Xuanyu Lei](https://md.research.elamur.ai/free/en/authors/xuanyu-lei/) ×2
- [Zhexin Zhang](https://md.research.elamur.ai/free/en/authors/zhexin-zhang/) ×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/)
- [Deming Ye](https://md.research.elamur.ai/free/en/authors/deming-ye/)
- [Fanchao Qi](https://md.research.elamur.ai/free/en/authors/fanchao-qi/)

## Venues

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

- [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/) ×2: [ACL 2024](https://md.research.elamur.ai/free/en/venues/acl/2024/)
- [AI Open](https://md.research.elamur.ai/free/en/venues/ai-open/): [AI Open 2020](https://md.research.elamur.ai/free/en/venues/ai-open/2020/)
- [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/): [EMNLP 2023](https://md.research.elamur.ai/free/en/venues/emnlp/2023/)
- Findings of the Association for Computational Linguistics: ACL 2023
- Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021

## Cited by

Papers of our library cite their works 435 times (of the 141,840 papers whose bibliographies we read); [39 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/pei-ke/cited-by/).

Updated 24 October 2026