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Tianmin Shu

Tianmin Shu has 2 papers in our library, in 2022–2024, most of them on Question answering, Vision & language; often with Zhiting Hu, Antonio B. Torralba, Cheng-Ping Hsieh.

2 papers in our library · 2022–2024

OpenAlex · h-index 16 · 78 works · 1,210 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 304 times in our library · 5 more in our library without a page yet · ⭐ Paper Stars ranking: #4460

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

🎓Johns Hopkins UniversityBaltimore · United States2024–2026 · 34 paperscurrent🎓Massachusetts Institute of TechnologyCambridge · United States2020–2025 · 26 papers🎓University of California, Los AngelesLos Angeles · United States2015–2020 · 14 papers🎓University of California San DiegoSan Diego · United States2022–2025 · 7 papers🎓Cornell TechNew York · United States2025 · 2 papers🎓University of MichiganAnn Arbor · United States2025 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution on single bylines are not listed.

 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 7The field of science this work belongs to (OpenAlex fields).Computer Science · 2 worksArtificial Intelligence · 2 worksArts and Humanities · 1 workLanguage and Linguistics · 1 workPsychology · 1 workComputer Vision and Pattern Recognition · 1 workDevelopmental and Educational Psychology · 1 work

🧭 Topics 2Research subjects and languages the work is about.Question answering · 1 workVision & language · 1 work

 Works by year

2020s

20241 paper20221 paper

 Papers

The most cited first (OpenAlex and our library).

  1. RLPrompt: Optimizing Discrete Text Prompts with Reinforcement Learning (2022 · 338 citations)
    The paper addresses the challenge of automatically finding effective discrete text prompts for frozen pre-trained language models.
  2. MMToM-QA: Multimodal Theory of Mind Question Answering (2024 · 44 citations)
    Existing Theory of Mind (ToM) benchmarks test models on a single modality, either video or text. Human mental-state reasoning, however, combines whatever evidence is available. The authors introduce MMToM-QA, a benchmark that pairs household activity videos with textual descriptions of the scene and the person's…

All works

7 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

  1. RLPrompt: Optimizing Discrete Text Prompts with Reinforcement LearningConference on Empirical Methods in Natural Language Processing (EMNLP)Mingkai Deng, Jianyu Wang, Cheng-Ping Hsieh, et al.2022 · 338 citations
  2. CERN: Confidence-Energy Recurrent Network for Group Activity Recognition ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetTianmin Shu, Siniša Todorović, Song Chun Zhu2017 · 193 citations
  3. Building Cooperative Embodied Agents Modularly with Large Language Models ↗arXiv:2307.02485 · no summary yetHongxin Zhang et al.2023 · 95 citations
  4. Hierarchical and Interpretable Skill Acquisition in Multi-task Reinforcement Learning ↗arXiv (Cornell University) · no summary yetTianmin Shu, Caiming Xiong, Richard Socher2017 · 72 citations
  5. MMToM-QA: Multimodal Theory of Mind Question AnsweringAnnual Meeting of the Association for Computational Linguistics (ACL)Chuanyang Jin, Yutong Wu, Jing Cao, et al.2024 · 44 citations
  6. Language Models, Agent Models, and World Models: The LAW for Machine Reasoning and Planning ↗arXiv:2312.05230 · no summary yetZhiting Hu, Tianmin Shu2023 · 18 citations
  7. On Benchmarking Human-Like Intelligence in Machines ↗arXiv:2502.20502 · no summary yetLance Ying et al.2025 · 7 citations

 Co-authors here

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

Venues

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

 Cited by

Papers of our library cite their works 304 times (of the 149,439 papers whose bibliographies we read); 43 citing papers with a page here →.

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