---
title: "Biqing Qi — author profile and papers — Elamur Research"
description: "Biqing Qi, Harbin Institute of Technology: 5 papers on Elamur Research (2024–2026), h-index 10 — affiliations, topics, co-authors and who…"
canonical: "https://research.elamur.ai/free/en/authors/biqing-qi/"
---
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# Biqing Qi

Biqing Qi has 5 papers in our library, in 2024–2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/); often with [Bowen Zhou](https://md.research.elamur.ai/free/en/authors/bowen-zhou/), [Kaiyan Zhang](https://md.research.elamur.ai/free/en/authors/kaiyan-zhang/), [Junqi Gao](https://md.research.elamur.ai/free/en/authors/junqi-gao/).

5 papers in our library · 2024–2026

[OpenAlex](https://openalex.org/A5113291945) · [ORCID](https://orcid.org/0000-0002-4072-0577) · [Wikidata](https://www.wikidata.org/wiki/Q130983699) · [**h-index 10**](https://openalex.org/authors/A5113291945) · [80 works](https://openalex.org/works?filter=author.id:A5113291945) · [257 citations](https://openalex.org/works?filter=author.id:A5113291945&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 5 works in our library](https://md.research.elamur.ai/free/en/authors/biqing-qi/#papers) · [🔗 Cited 235 times in our library](https://md.research.elamur.ai/free/en/authors/biqing-qi/cited-by/) · [3 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #6557](https://md.research.elamur.ai/free/en/paper-stars/page/66/#star-6557)

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

## Affiliations

[🔬**Shanghai Artificial Intelligence Laboratory** Shanghai · China 2024–2026 · 33 papers*current*](https://md.research.elamur.ai/free/en/labs/shanghai-artificial-intelligence-laboratory/) · [🎓**Harbin Institute of Technology** Harbin · China 2022–2026 · 11 papers*current*](https://md.research.elamur.ai/free/en/universities/harbin-institute-of-technology/) · [🎓**Tsinghua University** Beijing · China 2023–2025 · 17 papers](https://md.research.elamur.ai/free/en/universities/tsinghua-university/) · [🎓**Harbin Engineering University** Harbin · China 2018–2019 · 2 papers](https://md.research.elamur.ai/free/en/universities/harbin-engineering-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 12 The field of science this work belongs to (OpenAlex fields).[Arts and Humanities · 5 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 5 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 5 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 5 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Biochemistry, Genetics and Molecular Biology · 1 work](https://md.research.elamur.ai/free/en/shelves/biochemistry-genetics-and-molecular-biology/) · [Health Informatics · 1 work](https://md.research.elamur.ai/free/en/shelves/medicine/health-informatics/) · [Medicine · 1 work](https://md.research.elamur.ai/free/en/shelves/medicine/) · [Molecular Biology · 1 work](https://md.research.elamur.ai/free/en/shelves/biochemistry-genetics-and-molecular-biology/molecular-biology/) · [Social Sciences · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/) · [General Social Sciences · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/general-social-sciences/) · [History and Philosophy of Science · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/history-and-philosophy-of-science/)

🧭 Topics 2 Research subjects and languages the work is about.[Language models & pretraining · 3 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/)

💡 Concepts 1 Key ideas and methods explained on our concept pages.[Scaling laws · 1 work](https://md.research.elamur.ai/free/en/concepts/scaling-laws/)

## Works by year

### 2020s

[**2026** 1 paper](https://md.research.elamur.ai/free/en/authors/biqing-qi/year/2026/) · [**2025** 3 papers](https://md.research.elamur.ai/free/en/authors/biqing-qi/year/2025/) · [**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/biqing-qi/year/2024/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Can 1B LLM Surpass 405B LLM? Rethinking Compute-Optimal Test-Time Scaling](https://md.research.elamur.ai/free/en/papers/liu-2025-1b-llm-surpass-405b-llm/)** *(2025 · 41 citations)* The paper asks how extra inference-time computation should be spent and whether small models can beat much larger ones when it is spent well.
2. **[Many Heads Are Better Than One: Improved Scientific Idea Generation by A LLM-Based Multi-Agent System](https://md.research.elamur.ai/free/en/papers/su-2025-many-heads-are-better-than/)** *(2025 · 40 citations)* Most LLM tools for automated research ideation use a single agent or rely on artificial collaboration setups, such as invented researcher profiles or synthetic co-author networks.
3. **[Large Language Models as Biomedical Hypothesis Generators: A Comprehensive Evaluation](https://md.research.elamur.ai/free/en/papers/qi-2024-large-language-models-biomedical-hypothesis/)** *(2024 · 19 citations)* The paper asks whether large language models can propose genuinely new biomedical hypotheses, rather than repeating knowledge absorbed during pre-training.
4. **[A Survey of Inductive Reasoning for Large Language Models](https://md.research.elamur.ai/free/en/papers/chen-2026-survey-inductive-reasoning-large-language/)** *(2026 · 10 citations)* Inductive reasoning moves from particular observations to general rules, and it often admits several valid answers.
5. **[ReviewRL: Towards Automated Scientific Review with RL](https://md.research.elamur.ai/free/en/papers/zeng-2025-reviewrl-automated-scientific-review-rl/)** *(2025 · 9 citations)* Growing submission volumes strain peer review, and current LLM reviewers often produce shallow, generic critiques.

## All works

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

1. **[TTRL: Test-Time Reinforcement Learning ↗](https://arxiv.org/abs/2504.16084) arXiv:2504.16084 · no summary yet**Yuxin Zuo et al.*2025 · 76 citations*
2. **[Large Language Models are Zero Shot Hypothesis Proposers ↗](https://arxiv.org/abs/2311.05965) arXiv:2311.05965 · no summary yet**Biqing Qi et al.*2023 · 45 citations*
3. [**Can 1B LLM Surpass 405B LLM? Rethinking Compute-Optimal Test-Time Scaling arXiv:2502.06703**Runze Liu, Junqi Gao, Jian Zhao, et al.*2025 · 41 citations*](https://md.research.elamur.ai/free/en/papers/liu-2025-1b-llm-surpass-405b-llm/)
4. **[Many Heads Are Better Than One: Improved Scientific Idea Generation by A LLM-Based Multi-Agent System](https://md.research.elamur.ai/free/en/papers/su-2025-many-heads-are-better-than/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Haoyang Su, Renqi Chen, Shixiang Tang, et al.*2025 · 40 citations*
5. **[PaD: Program-aided Distillation Can Teach Small Models Reasoning Better than Chain-of-thought Fine-tuning ↗](https://aclanthology.org/2024.naacl-long.142/) Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers) · no summary yet**Xuekai Zhu et al.*2024 · 35 citations*
6. [**Large Language Models as Biomedical Hypothesis Generators: A Comprehensive Evaluation arXiv:2407.08940**Biqing Qi, Kaiyan Zhang, Kai Tian, et al.*2024 · 19 citations*](https://md.research.elamur.ai/free/en/papers/qi-2024-large-language-models-biomedical-hypothesis/)
7. **[A Survey of Inductive Reasoning for Large Language Models](https://md.research.elamur.ai/free/en/papers/chen-2026-survey-inductive-reasoning-large-language/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Kedi Chen, Dezhao Ruan, Yuhao Dan, et al.*2026 · 10 citations*
8. **[ReviewRL: Towards Automated Scientific Review with RL](https://md.research.elamur.ai/free/en/papers/zeng-2025-reviewrl-automated-scientific-review-rl/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Sihang Zeng, Kai Tian, Kaiyan Zhang, et al.*2025 · 9 citations*

## Co-authors here

12 of 18 co-authors with a page, the most papers together first.

- [Bowen Zhou](https://md.research.elamur.ai/free/en/authors/bowen-zhou/) ×4
- [Kaiyan Zhang](https://md.research.elamur.ai/free/en/authors/kaiyan-zhang/) ×3
- [Junqi Gao](https://md.research.elamur.ai/free/en/authors/junqi-gao/) ×2
- [Kai Tian](https://md.research.elamur.ai/free/en/authors/kai-tian/) ×2
- [Runze Liu](https://md.research.elamur.ai/free/en/authors/runze-liu/) ×2
- [Sihang Zeng](https://md.research.elamur.ai/free/en/authors/sihang-zeng/) ×2
- [Wanli Ouyang](https://md.research.elamur.ai/free/en/authors/wanli-ouyang/) ×2
- [Hui Li](https://md.research.elamur.ai/free/en/authors/hui-li/)
- [Jian Zhao](https://md.research.elamur.ai/free/en/authors/jian-zhao/)
- [Jie Zhou](https://md.research.elamur.ai/free/en/authors/jie-zhou/)
- [Liang He](https://md.research.elamur.ai/free/en/authors/liang-he/)
- [Linyang Li](https://md.research.elamur.ai/free/en/authors/linyang-li/)

## Venues

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

- [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/) ×2: [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/), [ACL 2025](https://md.research.elamur.ai/free/en/venues/acl/2025/)
- [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/): [EMNLP 2025](https://md.research.elamur.ai/free/en/venues/emnlp/2025/)
- Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)

## Cited by

Papers of our library cite their works 235 times (of the 149,439 papers whose bibliographies we read); [52 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/biqing-qi/cited-by/).

Updated 1 November 2026