---
title: "Bill Qian — author profile and papers — Elamur Research"
description: "Bill Qian, Yale University: 2 papers on Elamur Research (2023), h-index 3 — affiliations, topics, co-authors and who cites them in our library."
canonical: "https://research.elamur.ai/free/en/authors/bill-qian/"
---
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# Bill Qian

Bill Qian has 2 papers in our library, in 2023, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Evaluation & benchmarks](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/), [Code & programming languages](https://md.research.elamur.ai/free/en/topics/code-and-programming/); often with [Xiangru Tang](https://md.research.elamur.ai/free/en/authors/xiangru-tang/), [Kunlun Zhu](https://md.research.elamur.ai/free/en/authors/kunlun-zhu/), [Mark Gerstein](https://md.research.elamur.ai/free/en/authors/mark-gerstein/).

2 papers in our library · 2023

[OpenAlex](https://openalex.org/A5101389051) · [**h-index 3**](https://openalex.org/authors/A5101389051) · [4 works](https://openalex.org/works?filter=author.id:A5101389051) · [123 citations](https://openalex.org/works?filter=author.id:A5101389051&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/bill-qian/#papers) · [🔗 Cited 724 times in our library](https://md.research.elamur.ai/free/en/authors/bill-qian/cited-by/) · [⭐ Paper Stars ranking: #3805](https://md.research.elamur.ai/free/en/paper-stars/page/39/#star-3805)

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=Bill+Qian) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Bill+Qian) · [dblp](https://dblp.org/search?q=Bill+Qian) · [ACL Anthology](https://aclanthology.org/search/?q=Bill+Qian)

## Affiliations

[🎓**Yale University** New Haven · United States 2023–2025 · 3 papers*current*](https://md.research.elamur.ai/free/en/universities/yale-university/)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine.

## Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 7 The field of science this work belongs to (OpenAlex fields).[Arts and Humanities · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Decision Sciences · 1 work](https://md.research.elamur.ai/free/en/shelves/decision-sciences/) · [Information Systems · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) · [Information Systems and Management · 1 work](https://md.research.elamur.ai/free/en/shelves/decision-sciences/information-systems-and-management/)

🧭 Topics 3 Research subjects and languages the work is about.[Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) · [Code & programming languages · 1 work](https://md.research.elamur.ai/free/en/topics/code-and-programming/) · [Evaluation & benchmarks · 1 work](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/)

## Works by year

### 2020s

[**2023** 2 papers](https://md.research.elamur.ai/free/en/authors/bill-qian/year/2023/)

## Papers

The most cited first (OpenAlex and our library).

1. **[ToolLLM: Facilitating Large Language Models to Master 16000+ Real-world APIs](https://md.research.elamur.ai/free/en/papers/qin-2023-toolllm-facilitating-large-language-models/)** *(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.
2. **[BioCoder: A Benchmark for Bioinformatics Code Generation with Large Language Models](https://md.research.elamur.ai/free/en/papers/tang-2023-biocoder-benchmark-bioinformatics-code-generation/)** *(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

10 co-authors with a page, the most papers together first.

- [Xiangru Tang](https://md.research.elamur.ai/free/en/authors/xiangru-tang/) ×2
- [Kunlun Zhu](https://md.research.elamur.ai/free/en/authors/kunlun-zhu/)
- [Mark Gerstein](https://md.research.elamur.ai/free/en/authors/mark-gerstein/)
- [Shihao Liang](https://md.research.elamur.ai/free/en/authors/shihao-liang/)
- [Xin Cong](https://md.research.elamur.ai/free/en/authors/xin-cong/)
- [Xinyun Chen](https://md.research.elamur.ai/free/en/authors/xinyun-chen/)
- [Yankai Lin](https://md.research.elamur.ai/free/en/authors/yankai-lin/)
- [Yaxi Lu](https://md.research.elamur.ai/free/en/authors/yaxi-lu/)
- [Yining Ye](https://md.research.elamur.ai/free/en/authors/yining-ye/)
- [Yujia Qin](https://md.research.elamur.ai/free/en/authors/yujia-qin/)

## Venues

Where their works here were published, the most works first, with the editions of those that have a page.

- [Bioinformatics](https://md.research.elamur.ai/free/en/venues/bioinformatics/): [Bioinformatics 2023](https://md.research.elamur.ai/free/en/venues/bioinformatics/2023/)

## Cited by

Papers of our library cite their works 724 times (of the 149,439 papers whose bibliographies we read); [245 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/bill-qian/cited-by/).

Updated 3 November 2026
