--- title: "Jiale Cheng — author profile and papers — Elamur Research" description: "Jiale Cheng, University of North Carolina at Chapel Hill: 4 papers on Elamur Research (2022–2025), h-index 11 — affiliations, topics…" canonical: "https://research.elamur.ai/free/en/authors/jiale-cheng/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/jiale-cheng/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Jiale Cheng # Jiale Cheng Jiale Cheng has 4 papers in our library, in 2022–2025, 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/), [Evaluation & benchmarks](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/); often with [Bosi Wen](https://md.research.elamur.ai/free/en/authors/bosi-wen/), [Minlie Huang](https://md.research.elamur.ai/free/en/authors/minlie-huang/), [Pei Ke](https://md.research.elamur.ai/free/en/authors/pei-ke/). 4 papers in our library · 2022–2025 [OpenAlex](https://openalex.org/A5002409683) · [ORCID](https://orcid.org/0000-0002-0032-7455) · [**h-index 11**](https://openalex.org/authors/A5002409683) · [79 works](https://openalex.org/works?filter=author.id:A5002409683) · [350 citations](https://openalex.org/works?filter=author.id:A5002409683&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 4 works in our library](https://md.research.elamur.ai/free/en/authors/jiale-cheng/#papers) · [🔗 Cited 907 times in our library](https://md.research.elamur.ai/free/en/authors/jiale-cheng/cited-by/) · [4 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #4085](https://md.research.elamur.ai/free/en/paper-stars/page/41/#star-4085) 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=Jiale+Cheng) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Jiale+Cheng) · [dblp](https://dblp.org/search?q=Jiale+Cheng) · [ACL Anthology](https://aclanthology.org/search/?q=Jiale+Cheng) ## Affiliations [🎓**University of North Carolina at Chapel Hill** Chapel Hill · United States 2021–2028 · 28 papersEducation 2023–2028 · Doctor of Philosophy, Department of Biomedical EngineeringEmployment 2021–2023 · Research Assistant, Department of Radiology and Biomedical Research Imaging CenterEmployment 2023–2028 · Research Assistant, Department of Radiology and Biomedical Research Imaging Center*current*](https://md.research.elamur.ai/free/en/universities/university-of-north-carolina-at-chapel-hill/) · [🎓**Tsinghua University** Beijing · China 2022–2026 · 18 papers*current*](https://md.research.elamur.ai/free/en/universities/tsinghua-university/) · [🏢**Zhipu AI** Beijing 2023–2026 · 7 papers*current*](https://md.research.elamur.ai/free/en/companies/zhipu-ai/) · [🎓**Beijing Institute of Technology** Beijing · China 2024–2026 · 5 papers*current*](https://md.research.elamur.ai/free/en/universities/beijing-institute-of-technology/) · [🎓**South China University of Technology** Guangzhou · China 2016–2025 · 12 papersEducation 2016–2020 · Bachelor of Engineering, School of Electronic and Information EngineeringEducation 2020–2023 · Master of Engineering, School of Electronic and Information Engineering](https://md.research.elamur.ai/free/en/universities/south-china-university-of-technology/) · [🔬**Beijing National Research Center for Information Science and Technology** Beijing · China 2022–2023 · 5 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 2022–2023 · 5 papers](https://md.research.elamur.ai/free/en/labs/state-key-laboratory-of-intelligent-technology-and-systems/) · [🎓**Nanjing Medical University** Nanjing · China 2024–2025 · 2 papers](https://ror.org/059gcgy73) · [🎓**North Carolina State University** Raleigh · United States 2024–2025 · 2 papers](https://md.research.elamur.ai/free/en/universities/north-carolina-state-university/) · [🏥**Suzhou Municipal Hospital** Suzhou · China 2024–2025 · 2 papers](https://ror.org/02cdyrc89) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 10 more institutions on single bylines are not listed. ## Concepts, shelves and topics Of its works in our library: the number of works on each and its rating among them. 📚 Shelves 7 The field of science this work belongs to (OpenAlex fields).[Computer Science · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Arts and Humanities · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Language and Linguistics · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Computer Vision and Pattern Recognition · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Safety Research · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/safety-research/) · [Social Sciences · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/) 🧭 Topics 6 Research subjects and languages the work is about.[Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) · [Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/) · [Vision & language · 1 work](https://md.research.elamur.ai/free/en/topics/multimodal/) · [Bias, fairness & safety · 1 work](https://md.research.elamur.ai/free/en/topics/bias-fairness-safety/) · [Dialogue systems · 1 work](https://md.research.elamur.ai/free/en/topics/dialogue-systems/) · [Evaluation & benchmarks · 1 work](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) ## Works by year ### 2020s [**2025** 1 paper GLM-4.5V and GLM-4.1V-Thinking: Towards Versatile Multimodal Reasoning with Scalable Reinforcement Learning](https://md.research.elamur.ai/free/en/papers/team-2025-v-glm-4-5v-glm/) · [**2023** 2 papers Jiale Cheng's papers of 2023](https://md.research.elamur.ai/free/en/authors/jiale-cheng/year/2023/) · [**2022** 1 paper On the Safety of Conversational Models: Taxonomy, Dataset, and Benchmark](https://md.research.elamur.ai/free/en/papers/sun-2022-safety-conversational-models-taxonomy-dataset/) ## Papers The most cited first (OpenAlex and our library). 1. **[On the Safety of Conversational Models: Taxonomy, Dataset, and Benchmark](https://md.research.elamur.ai/free/en/papers/sun-2022-safety-conversational-models-taxonomy-dataset/)** *(2022 · 102 citations)* Open-domain chatbots can produce replies that look harmless in isolation but become harmful given what the user said. 2. **[GLM-4.5V and GLM-4.1V-Thinking: Towards Versatile Multimodal Reasoning with Scalable Reinforcement Learning](https://md.research.elamur.ai/free/en/papers/team-2025-v-glm-4-5v-glm/)** *(2025 · 79 citations)* The paper addresses a gap in open-source vision-language models (VLMs): no openly available model reliably beat comparably sized non-reasoning models across a wide range of multimodal tasks. 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. **[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 8 works of theirs in our library, the most cited first; 4 with a page here, the others link their original until we summarise them. 1. **[On the Safety of Conversational Models: Taxonomy, Dataset, and Benchmark](https://md.research.elamur.ai/free/en/papers/sun-2022-safety-conversational-models-taxonomy-dataset/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Hao Sun, Guangxuan Xu, Jiawen Deng, et al.*2022 · 102 citations* 2. **[Safety Assessment of Chinese Large Language Models](https://arxiv.org/abs/2304.10436) arXiv:2304.10436 · original ↗ · no summary yet**Hao Sun et al.*2023 · 88 citations* 3. [**GLM-4.5V and GLM-4.1V-Thinking: Towards Versatile Multimodal Reasoning with Scalable Reinforcement Learning arXiv:2507.01006**GLM-V Team, Wenyi Hong, Wenmeng Yu, et al.*2025 · 79 citations*](https://md.research.elamur.ai/free/en/papers/team-2025-v-glm-4-5v-glm/) 4. [**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/) 5. **[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* 6. [**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/) 7. **[A Survey of Post-Training Scaling in Large Language Models](https://aclanthology.org/2025.acl-long.140/) Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · original ↗ · no summary yet**Hanyu Lai et al.*2025 · 18 citations* 8. **[Glyph: Scaling Context Windows via Visual-Text Compression](https://aclanthology.org/2026.acl-long.1722/) Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · original ↗ · no summary yet**Jiale Cheng et al.*2026 · 6 citations* ## Co-authors here 12 of 26 co-authors with a page, the most papers together first. - [Bosi Wen](https://md.research.elamur.ai/free/en/authors/bosi-wen/) ×2 - [Minlie Huang](https://md.research.elamur.ai/free/en/authors/minlie-huang/) ×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 - [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/) - [Chujie Zheng](https://md.research.elamur.ai/free/en/authors/chujie-zheng/) - [Hao Sun](https://md.research.elamur.ai/free/en/authors/hao-sun/) - [Hao Zhou](https://md.research.elamur.ai/free/en/authors/hao-zhou/) - [Hongning Wang](https://md.research.elamur.ai/free/en/authors/hongning-wang/) ## 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) ×3 - [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/): [Findings of the Association for Computational Linguistics 2022](https://md.research.elamur.ai/free/en/venues/findings/2022/) ## Cited by Papers of our library cite their works 907 times (of the 141,840 papers whose bibliographies we read); [60 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/jiale-cheng/cited-by/). Updated 24 October 2026