Bill Qian
Bill Qian has 2 papers in our library, in 2023, most of them on Language models & pretraining, Evaluation & benchmarks, Code & programming languages; often with Xiangru Tang, Kunlun Zhu, Mark Gerstein.
OpenAlex · h-index 3 · 4 works · 123 citations OpenAlex, 2026-10-14
📄 2 works in our library · 🔗 Cited 724 times in our library · ⭐ Paper Stars ranking: #3805
Affiliations
Fields, topics and concepts
📚 Shelves 7The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 2 worksComputer Science · 2 worksArtificial Intelligence · 2 worksLanguage and Linguistics · 2 worksDecision Sciences · 1 workInformation Systems · 1 workInformation Systems and Management · 1 work
🧭 Topics 3Research subjects and languages the work is about.Language models & pretraining · 1 workCode & programming languages · 1 workEvaluation & benchmarks · 1 work
Works by year
2020s
Papers
- ToolLLM: Facilitating Large Language Models to Master 16000+ Real-world APIs (2023 · 589 citations)
Open-source LLMs such as LLaMA are weak at tool use: picking and calling external APIs to carry out a user request. Closed models like ChatGPT handle this far better. The paper presents ToolLLM, a pipeline that covers data, training and evaluation. - BioCoder: A Benchmark for Bioinformatics Code Generation with Large Language Models (2023 · 38 citations)
Most LLM code-generation benchmarks use short, generic functions and ignore the domain knowledge and project context that real scientific code needs.
Co-authors here
- Xiangru Tang ×2
- Kunlun Zhu
- Mark Gerstein
- Shihao Liang
- Xin Cong
- Xinyun Chen
- Yankai Lin
- Yaxi Lu
- Yining Ye
- Yujia Qin
Venues
Cited by
Updated
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