Bosi Wen
Bosi Wen has 3 papers in our library, in 2023, most of them on Language models & pretraining, Dialogue systems; often with Jiale Cheng, Pei Ke, Shengyuan Wang.
OpenAlex · h-index 6 · 34 works · 111 citations OpenAlex, 2026-10-14
📄 3 works in our library · 🔗 Cited 394 times in our library · 2 more in our library without a page yet · ⭐ Paper Stars ranking: #4650
Affiliations
Concepts, shelves and topics
📚 Shelves 5The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 3 worksComputer Science · 3 worksArtificial Intelligence · 3 worksLanguage and Linguistics · 3 worksComputer Vision and Pattern Recognition · 1 work
🧭 Topics 2Research subjects and languages the work is about.Language models & pretraining · 1 workDialogue systems · 1 work
Works by year
2020s
Papers
- 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… - 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. - CharacterGLM: Customizing Chinese Conversational AI Characters with Large Language Models (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
- AlignBench: Benchmarking Chinese Alignment of Large Language ModelsXiao Liu, Xuanyu Lei, Shengyuan Wang, et al.arXiv:2311.18743 · 73 citations
- 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
- ToMBench: Benchmarking Theory of Mind in Large Language Models · original ↗ · no summary yet · Proceedings of the 62nd Annual Meeting of the Association for Computational…Zhuang Chen et al.2024 · 60 citations
- CharacterGLM: Customizing Chinese Conversational AI Characters with Large Language ModelsJinfeng Zhou, Zhuang Chen, Dazhen Wan, et al.arXiv:2311.16832 · 59 citations
- IF-RewardBench: Benchmarking Judge Models for Instruction-Following Evaluation · original ↗ · no summary yet · Proceedings of the 64th Annual Meeting of the Association for Computational…Bosi Wen et al.2026 · 1 citation
Co-authors here
- Jiale Cheng ×2
- Pei Ke ×2
- Shengyuan Wang ×2
- Xiao Liu ×2
- Xiaohan Zhang ×2
- Xuanyu Lei ×2
- Zhuoer Feng ×2
- Aohan Zeng
- Hongning Wang
- Jie Tang
- Lichao Sun
- Minlie Huang
Venues
- Proceedings of the 62nd Annual Meeting of the Association… ×2
Cited by
Updated
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