🧑‍🔬 Biqing Qi

🏛️ Affiliations

🔬Shanghai Artificial Intelligence LaboratoryShanghai · China2024–2026 · 33 paperscurrent🎓Harbin Institute of TechnologyHarbin · China2022–2026 · 11 paperscurrent🎓Tsinghua UniversityBeijing · China2023–2025 · 17 papers🎓Harbin Engineering UniversityHarbin · China2018–2019 · 2 papers

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. Can 1B LLM Surpass 405B LLM? Rethinking Compute-Optimal Test-Time Scaling (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 (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 (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 (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 (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 ↗arXiv:2504.16084 · no summary yetYuxin Zuo et al.2025 · 76 citations
2. Large Language Models are Zero Shot Hypothesis Proposers ↗arXiv:2311.05965 · no summary yetBiqing Qi et al.2023 · 45 citations
3. Can 1B LLM Surpass 405B LLM? Rethinking Compute-Optimal Test-Time ScalingarXiv:2502.06703Runze Liu, Junqi Gao, Jian Zhao, et al.2025 · 41 citations
4. Many Heads Are Better Than One: Improved Scientific Idea Generation by A LLM-Based Multi-Agent SystemAnnual Meeting of the Association for Computational Linguistics (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 ↗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 yetXuekai Zhu et al.2024 · 35 citations
6. Large Language Models as Biomedical Hypothesis Generators: A Comprehensive EvaluationarXiv:2407.08940Biqing Qi, Kaiyan Zhang, Kai Tian, et al.2024 · 19 citations
7. A Survey of Inductive Reasoning for Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Kedi Chen, Dezhao Ruan, Yuhao Dan, et al.2026 · 10 citations
8. ReviewRL: Towards Automated Scientific Review with RLConference on Empirical Methods in Natural Language Processing (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 ×4
• Kaiyan Zhang ×3
• Junqi Gao ×2
• Kai Tian ×2
• Runze Liu ×2
• Sihang Zeng ×2
• Wanli Ouyang ×2
• Hui Li
• Jian Zhao
• Jie Zhou
• Liang He
• 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) ×2: ACL 2026, ACL 2025
• Conference on Empirical Methods in Natural Language Processing (EMNLP): 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 →.

Updated 1 November 2026

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