🧑‍🔬 Qian Huang

🏛️ Affiliations

🎓Singapore University of Technology and DesignSingapore · Singapore2023–2026 · 14 paperscurrent🔬Lee Kuan Yew Centre for Innovative CitiesSingapore · Singapore2023–2026 · 10 papersEmployment · Research Fellow, Lee Kuan Yew Centre for Innovative Citiescurrent🎓Wuhan Conservatory of MusicWuhan · China2021–2026 · 4 paperscurrent🎓Tongji UniversityShanghai · China2023–2026 · 3 paperscurrent🎓South Central Minzu UniversityWuhan · China2024–2026 · 2 paperscurrent🎓Minzu University of ChinaBeijing · China2026 · 1 papercurrent🎓Dezhou UniversityDezhou · China2009–2012 · 6 papers🎓Chengdu University of TechnologyChengdu · China2022–2025 · 4 papers🎓Shanghai UniversityShanghai · China2002–2025 · 3 papers🎓University of Hong KongPok Fu Lam · China2020–2022 · 3 papersEducation · EdD, Faculty of Education

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 40 more institutions on single bylines are not listed.

🧭 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. MLAgentBench: Evaluating Language Agents on Machine Learning Experimentation (2023 · 147 citations)
   MLAgentBench asks whether agents built on large language models can run machine learning experiments on their own: design an approach, write and execute code, read the results, and iterate.
2. Med-Flamingo: a Multimodal Medical Few-shot Learner (2023 · 116 citations)
   Medical vision-language models usually need fine-tuning on large labeled downstream sets, but clinical data for many tasks is scarce.
3. Parsel: Algorithmic Reasoning with Language Models by Composing Decompositions (2023 · 56 citations)
   Large language models that write code tend to break down on long, multi-step tasks, because a single wrong token can ruin an entire program.

All works

5 works of theirs in our library, the most cited first; 3 with a page here, the others link their original until we summarise them.

1. Holistic Evaluation of Language Models ↗arXiv:2211.09110 · Published in Transactions on Machine Learning Research (TMLR), 2023 · no summary yetPercy Liang et al.2022 · 1,001 citations
2. MLAgentBench: Evaluating Language Agents on Machine Learning ExperimentationarXiv:2310.03302Qian Huang, Jian Vora, Percy Liang, et al.2023 · 147 citations
3. Med-Flamingo: a Multimodal Medical Few-shot LearnerarXiv:2307.15189Michael Moor, Qian Huang, Shirley Wu, et al.2023 · 116 citations
4. Parsel: Algorithmic Reasoning with Language Models by Composing DecompositionsConference on Neural Information Processing Systems (NeurIPS)Eric Zelikman, Qian Huang, Gabriel Poesia, et al.2023 · 56 citations
5. Just One Byte (per gradient): A Note on Low-Bandwidth Decentralized Language Model Finetuning Using Shared Randomness ↗arXiv (Cornell University) · no summary yetEric Zelikman et al.2023 · 3 citations

🤝 Co-authors here

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

• Jure Leskovec ×2
• Eduardo Pontes Reis
• Eric Zelikman
• Gabriel Poesia
• Michael Moor
• Michihiro Yasunaga
• Noah D. Goodman
• Percy Liang
• Pranav Rajpurkar

Venues

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

• Conference on Neural Information Processing Systems (NeurIPS): NeurIPS 2023

🔗 Cited by

Papers of our library cite their works 1,126 times (of the 149,439 papers whose bibliographies we read); 320 citing papers with a page here →.

Updated 2 November 2026

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