--- title: "Botian Shi — author profile and papers — Elamur Research" description: "Botian Shi, Shanghai Artificial Intelligence Laboratory: 3 papers on Elamur Research (2025–2026), h-index 21 — affiliations, topics…" canonical: "https://research.elamur.ai/free/en/authors/botian-shi/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/botian-shi/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Botian Shi # Botian Shi Botian Shi has 3 papers in our library, in 2025–2026, most of them on [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/), [Vision & language](https://md.research.elamur.ai/free/en/topics/multimodal/); often with [Daocheng Fu](https://md.research.elamur.ai/free/en/authors/daocheng-fu/), [Yu Qiao](https://md.research.elamur.ai/free/en/authors/yu-qiao/), [Bo Zhang](https://md.research.elamur.ai/free/en/authors/bo-zhang/). 3 papers in our library · 2025–2026 [OpenAlex](https://openalex.org/A5058342038) · [ORCID](https://orcid.org/0000-0003-3677-7252) · [**h-index 21**](https://openalex.org/authors/A5058342038) · [97 works](https://openalex.org/works?filter=author.id:A5058342038) · [1,729 citations](https://openalex.org/works?filter=author.id:A5058342038&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/botian-shi/#papers) · [🔗 Cited 638 times in our library](https://md.research.elamur.ai/free/en/authors/botian-shi/cited-by/) · [3 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #9181](https://md.research.elamur.ai/free/en/paper-stars/page/92/#star-9181) 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=Botian+Shi) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Botian+Shi) · [dblp](https://dblp.org/search?q=Botian+Shi) · [ACL Anthology](https://aclanthology.org/search/?q=Botian+Shi) ## Affiliations [🔬**Shanghai Artificial Intelligence Laboratory** Shanghai · China 2021–2026 · 62 papers*current*](https://md.research.elamur.ai/free/en/labs/shanghai-artificial-intelligence-laboratory/) · [🎓**Beijing Institute of Technology** Beijing · China 2016–2021 · 5 papersEducation 2016–2021 · PhD, Computer Science College](https://md.research.elamur.ai/free/en/universities/beijing-institute-of-technology/) · [🎓**Fudan University** Shanghai · China 2025 · 2 papers](https://md.research.elamur.ai/free/en/universities/fudan-university/) 🏛️**Shanghai Platform for Neuromorphic and AI Chip** Shanghai · [China](https://md.research.elamur.ai/free/en/countries/china/) 2021Employment since 2021 [🏢**Microsoft Research Asia** Beijing · China 2015–2020Employment 2015–2020 · Intern, DMEI,NLC](https://md.research.elamur.ai/free/en/companies/microsoft-research-asia/) 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. 📚 Shelves 6 The field of science this work belongs to (OpenAlex fields).[Computer Science · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Arts and Humanities · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Information Systems · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) 🧭 Topics 2 Research subjects and languages the work is about.[Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/) · [Vision & language · 1 work](https://md.research.elamur.ai/free/en/topics/multimodal/) ## Works by year ### 2020s [**2026** 1 paper](https://md.research.elamur.ai/free/en/authors/botian-shi/year/2026/) · [**2025** 2 papers](https://md.research.elamur.ai/free/en/authors/botian-shi/year/2025/) ## Papers The most cited first (OpenAlex and our library). 1. **[MM-Eureka: Exploring the Frontiers of Multimodal Reasoning with Rule-based Reinforcement Learning](https://md.research.elamur.ai/free/en/papers/meng-2025-mm-eureka-exploring-frontiers-multimodal/)** *(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](https://md.research.elamur.ai/free/en/papers/yuan-2025-dolphin-moving-closed-loop/)** *(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](https://md.research.elamur.ai/free/en/papers/yang-2026-self-evolving-agents-enabling-autonomy/)** *(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 ↗](https://doi.org/10.1109/cvpr52729.2023.01681) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Xin Shane Li et al.*2023 · 181 citations* 2. **[Dense Procedure Captioning in Narrated Instructional Videos ↗](https://aclanthology.org/P19-1641/) Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics · no summary yet**Botian Shi et al.*2019 · 77 citations* 3. [**MM-Eureka: Exploring the Frontiers of Multimodal Reasoning with Rule-based Reinforcement Learning arXiv:2503.07365**Fanqing Meng, Lingxiao Du, Zongkai Liu, et al.*2025 · 49 citations*](https://md.research.elamur.ai/free/en/papers/meng-2025-mm-eureka-exploring-frontiers-multimodal/) 4. **[A Benchmark for Structured Procedural Knowledge Extraction from Cooking Videos ↗](https://aclanthology.org/2020.nlpbt-1.4/) Proceedings of the First International Workshop on Natural Language Processing Beyond Text · no summary yet**Frank F. Xu et al.*2020 · 27 citations* 5. [**Dolphin: Moving Towards Closed-loop Auto-research through Thinking, Practice, and Feedback arXiv:2501.03916**Jiakang Yuan, Xiangchao Yan, Shiyang Feng, et al.*2025 · 19 citations*](https://md.research.elamur.ai/free/en/papers/yuan-2025-dolphin-moving-closed-loop/) 6. **[Towards Self-Evolving Agents: Enabling Autonomy through Interactive Experience Refinement](https://md.research.elamur.ai/free/en/papers/yang-2026-self-evolving-agents-enabling-autonomy/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Cheng 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](https://md.research.elamur.ai/free/en/authors/daocheng-fu/) ×2 - [Yu Qiao](https://md.research.elamur.ai/free/en/authors/yu-qiao/) ×2 - [Bo Zhang](https://md.research.elamur.ai/free/en/authors/bo-zhang/) - [Bowen Zhou](https://md.research.elamur.ai/free/en/authors/bowen-zhou/) - [Cheng Hong Yang](https://md.research.elamur.ai/free/en/authors/cheng-hong-yang/) - [Fanqing Meng](https://md.research.elamur.ai/free/en/authors/fanqing-meng/) - [Jia Xu](https://md.research.elamur.ai/free/en/authors/jia-xu/) - [Jiakang Yuan](https://md.research.elamur.ai/free/en/authors/jiakang-yuan/) - [Kaipeng Zhang](https://md.research.elamur.ai/free/en/authors/kaipeng-zhang/) - [Lei Bai](https://md.research.elamur.ai/free/en/authors/lei-bai/) - [Ping Luo](https://md.research.elamur.ai/free/en/authors/ping-luo/) - [Quanfeng Lu](https://md.research.elamur.ai/free/en/authors/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](https://md.research.elamur.ai/free/en/venues/findings/): [Findings of the Association for Computational Linguistics 2026](https://md.research.elamur.ai/free/en/venues/findings/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 →](https://md.research.elamur.ai/free/en/authors/botian-shi/cited-by/). Updated 3 November 2026