🧑‍🔬 Botian Shi

🏛️ Affiliations

🔬Shanghai Artificial Intelligence LaboratoryShanghai · China2021–2026 · 62 paperscurrent🎓Beijing Institute of TechnologyBeijing · China2016–2021 · 5 papersEducation 2016–2021 · PhD, Computer Science College🎓Fudan UniversityShanghai · China2025 · 2 papers

🏛️Shanghai Platform for Neuromorphic and AI ChipShanghai · China2021Employment since 2021

🏢Microsoft Research AsiaBeijing · China2015–2020Employment 2015–2020 · Intern, DMEI,NLC

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 3 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. MM-Eureka: Exploring the Frontiers of Multimodal Reasoning with Rule-based Reinforcement Learning (2025 · 49 citations)
   Rule-based reinforcement learning in the style of DeepSeek-R1 has greatly improved text-only reasoning. Earlier attempts to bring it to vision-language models used small models and easy tasks, and their training often became unstable. The authors address this with two contributions. The first is MMK12, a multimodal…
2. Dolphin: Moving Towards Closed-loop Auto-research through Thinking, Practice, and Feedback (2025 · 19 citations)
   Fully automated scientific research is still out of reach. Earlier systems mostly judge LLM-generated ideas by their apparent novelty, test them on toy datasets, or never use experimental outcomes to improve later ideas. Dolphin addresses this with a closed research loop of three stages: idea generation, experimental…
3. Towards Self-Evolving Agents: Enabling Autonomy through Interactive Experience Refinement (2026)
   LLM-based agents usually stay fixed once deployed. They cannot learn from earlier attempts, which hurts them on long, multi-application productivity tasks that may take over a hundred steps. The authors propose MUSE (Memory-Utilizing and Self-Evolving), a framework that improves at test time without any fine-tuning.…

All works

6 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. LoGoNet: Towards Accurate 3D Object Detection with Local-to-Global Cross- Modal Fusion ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetXin Shane Li et al.2023 · 181 citations
2. Dense Procedure Captioning in Narrated Instructional Videos ↗Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics · no summary yetBotian Shi et al.2019 · 77 citations
3. MM-Eureka: Exploring the Frontiers of Multimodal Reasoning with Rule-based Reinforcement LearningarXiv:2503.07365Fanqing Meng, Lingxiao Du, Zongkai Liu, et al.2025 · 49 citations
4. A Benchmark for Structured Procedural Knowledge Extraction from Cooking Videos ↗Proceedings of the First International Workshop on Natural Language Processing Beyond Text · no summary yetFrank F. Xu et al.2020 · 27 citations
5. Dolphin: Moving Towards Closed-loop Auto-research through Thinking, Practice, and FeedbackarXiv:2501.03916Jiakang Yuan, Xiangchao Yan, Shiyang Feng, et al.2025 · 19 citations
6. Towards Self-Evolving Agents: Enabling Autonomy through Interactive Experience RefinementFindings of the Association for Computational LinguisticsCheng Yang, Xuemeng Yang, Licheng Wen, et al.2026

🤝 Co-authors here

12 of 17 co-authors with a page, the most papers together first.

• Daocheng Fu ×2
• Yu Qiao ×2
• Bo Zhang
• Bowen Zhou
• Cheng Hong Yang
• Fanqing Meng
• Jia Xu
• Jiakang Yuan
• Kaipeng Zhang
• Lei Bai
• Ping Luo
• Quanfeng Lu

Venues

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

• Findings of the Association for Computational Linguistics: Findings of the Association for Computational Linguistics 2026
• IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
• Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics
• Proceedings of the First International Workshop on Natural Language Processing Beyond Text

🔗 Cited by

Papers of our library cite their works 638 times (of the 149,439 papers whose bibliographies we read); 154 citing papers with a page here →.

Updated 3 November 2026

↑ back to top

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