Elamur Research⌕
☰
home / authors / Bill Qian

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.

2 papers in our library · 2023

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

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

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.

 Works by year

2020s

 Papers

The most cited first (OpenAlex and our library).

  1. 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.
  2. 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

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

Venues

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

 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 →.

Updated

This page in Markdown → https://md.research.elamur.ai/free/en/authors/bill-qian/