Guiming Hardy Chen
Guiming Hardy Chen has 6 papers in our library, in 2023–2024, most of them on Language models & pretraining, Multilingual & cross-lingual NLP, Evaluation & benchmarks; often with Benyou Wang, Feng Jiang, Jianquan Li.
OpenAlex · ORCID · h-index 9 · 28 works · 399 citations OpenAlex, 2026-10-14
📄 6 works in our library · 🔗 Cited 359 times in our library · ⭐ Paper Stars ranking: #2848
Affiliations
Concepts, shelves and topics
📚 Shelves 9The field of science this work belongs to (OpenAlex fields).Computer Science · 6 worksArtificial Intelligence · 6 worksArts and Humanities · 5 worksLanguage and Linguistics · 5 worksMedicine · 2 worksHealth Informatics · 2 worksSafety Research · 2 worksSocial Sciences · 2 worksComputer Vision and Pattern Recognition · 2 works
🧭 Topics 4Research subjects and languages the work is about.Language models & pretraining · 4 worksMultilingual & cross-lingual NLP · 1 workEvaluation & benchmarks · 1 workVision & language · 1 work
Works by year
2020s
Papers
- HuatuoGPT, Towards Taming Language Model to Be a Doctor (2023 · 282 citations)
The paper tackles how to build a Chinese medical consultation model that is both clear for patients and clinically competent. - Humans or LLMs as the Judge? A Study on Judgement Bias (2024 · 131 citations)
Open-ended benchmarks often rely on people or strong LLMs to compare model answers, but both kinds of judges can be biased. - Humans or LLMs as the Judge? A Study on Judgement Biases (2024 · 77 citations)
Open-ended LLM benchmarks increasingly rely on human annotators or strong LLMs to choose the better of two answers. - Phoenix: Democratizing ChatGPT across Languages (2023 · 68 citations)
Open ChatGPT-style assistants released in early 2023 were mostly built for English, or English plus Chinese. - ALLaVA: Harnessing GPT4V-Synthesized Data for Lite Vision-Language Models (2024 · 60 citations)
Lite vision-language models of about 4B parameters are cheap to train and run, but they usually trail 7B/13B LVLMs. - CMB: A Comprehensive Medical Benchmark in Chinese (2023 · 54 citations)
Evaluating LLMs for medicine in China is hard because translated English benchmarks miss local practice, especially traditional Chinese medicine (TCM). The authors therefore built CMB, a medical benchmark created natively in Chinese. It has two parts:
Co-authors here
- Benyou Wang ×5
- Feng Jiang ×5
- Jianquan Li ×4
- Xiang Wan ×4
- Zhihong Chen ×4
- Zhiyi Zhang ×4
- Junying Chen ×3
- Shunian Chen ×3
- Fei Yu ×2
- Hongbo Zhang ×2
- Qingying Xiao ×2
- Xiangbo Wu ×2
Venues
- Conference on Empirical Methods in Natural Language Processing (EMNLP): EMNLP 2024
- Findings of the Association for Computational Linguistics: Findings of the Association for Computational Linguistics 2023
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