🧑‍🔬 Jiale Cheng

🏛️ Affiliations

🎓University of North Carolina at Chapel HillChapel Hill · United States2021–2028 · 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 Centercurrent🎓Tsinghua UniversityBeijing · China2022–2026 · 18 paperscurrent🏢Zhipu AIBeijing2023–2026 · 7 paperscurrent🎓Beijing Institute of TechnologyBeijing · China2024–2026 · 5 paperscurrent🎓South China University of TechnologyGuangzhou · China2016–2025 · 12 papersEducation 2016–2020 · Bachelor of Engineering, School of Electronic and Information EngineeringEducation 2020–2023 · Master of Engineering, School of Electronic and Information Engineering🔬Beijing National Research Center for Information Science and TechnologyBeijing · China2022–2023 · 5 papers🔬State Key Laboratory of Intelligent Technology and SystemsBeijing2022–2023 · 5 papers🎓Nanjing Medical UniversityNanjing · China2024–2025 · 2 papers🎓North Carolina State UniversityRaleigh · United States2024–2025 · 2 papers🏥Suzhou Municipal HospitalSuzhou · China2024–2025 · 2 papers

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.

📅 Works by year

2020s

📄 Papers

The most cited first (OpenAlex and our library).

1. On the Safety of Conversational Models: Taxonomy, Dataset, and Benchmark (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 (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 (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 (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 BenchmarkHao Sun, Guangxuan Xu, Jiawen Deng, et al.Findings of the Association for Computational Linguistics · 102 citations
2. Safety Assessment of Chinese Large Language Models · original ↗ · no summary yet · arXiv:2304.10436Hao Sun et al.2023 · 88 citations
3. GLM-4.5V and GLM-4.1V-Thinking: Towards Versatile Multimodal Reasoning with Scalable Reinforcement LearningGLM-V Team, Wenyi Hong, Wenmeng Yu, et al.arXiv:2507.01006 · 79 citations
4. AlignBench: Benchmarking Chinese Alignment of Large Language ModelsXiao Liu, Xuanyu Lei, Shengyuan Wang, et al.arXiv:2311.18743 · 73 citations
5. Black-Box Prompt Optimization: Aligning Large Language Models without Model Training · original ↗ · no summary yet · Proceedings of the 62nd Annual Meeting of the Association for Computational…Jiale Cheng et al.2024 · 70 citations
6. CritiqueLLM: Towards an Informative Critique Generation Model for Evaluation of Large Language Model GenerationPei Ke, Bosi Wen, Zhuoer Feng, et al.arXiv:2311.18702 · 68 citations
7. A Survey of Post-Training Scaling in Large Language Models · original ↗ · no summary yet · Proceedings of the 63rd Annual Meeting of the Association for Computational…Hanyu Lai et al.2025 · 18 citations
8. Glyph: Scaling Context Windows via Visual-Text Compression · original ↗ · no summary yet · Proceedings of the 64th Annual Meeting of the Association for Computational…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 ×2
• Minlie Huang ×2
• Pei Ke ×2
• Shengyuan Wang ×2
• Xiao Liu ×2
• Xuanyu Lei ×2
• Zhuoer Feng ×2
• Aohan Zeng
• Chujie Zheng
• Hao Sun
• Hao Zhou
• 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… ×3
• Findings of the Association for Computational Linguistics: Findings of the Association for Computational Linguistics 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 →.

Updated 24 October 2026

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