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Dongchan Shin

Dongchan Shin has 2 papers in our library, in 2024–2025, most of them on Language models & pretraining, Reasoning, Vision & language; often with Arkil Patel, Benno Krojer, Danyang Zhang.

2 papers in our library · 2024–2025

OpenAlex · h-index 3 · 8 works · 72 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 333 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #5631

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

🔬Mila - Quebec Artificial Intelligence InstituteMontreal · Canada2025–2026 · 2 paperscurrent

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 7The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 2 worksComputer Science · 2 worksArtificial Intelligence · 2 worksLanguage and Linguistics · 2 worksEngineering · 1 workComputer Vision and Pattern Recognition · 1 workControl and Systems Engineering · 1 work

🧭 Topics 3Research subjects and languages the work is about.Vision & language · 1 workLanguage models & pretraining · 1 workReasoning · 1 work

 Works by year

2020s

20251 paper20241 paper

 Papers

The most cited first (OpenAlex and our library).

  1. OSWorld: Benchmarking Multimodal Agents for Open-Ended Tasks in Real Computer Environments (2024 · 264 citations)
    Agents that operate computers for people are hard to assess. Earlier benchmarks either offer static demonstrations with no runnable environment, or they limit agents to one domain, such as web browsing or coding. OSWorld addresses this with a real computer environment built on virtual machines running Ubuntu, Windows…
  2. DeepSeek-R1 Thoughtology: Let's think about LLM Reasoning (2025 · 47 citations)
    Large Reasoning Models (LRMs) produce long reasoning chains before giving an answer. Their internal behaviour has been hard to study because OpenAI's o1 hides its thoughts. DeepSeek-R1 exposes its reasoning, so the authors use it to launch a research programme they call "Thoughtology."

All works

3 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. OSWorld: Benchmarking Multimodal Agents for Open-Ended Tasks in Real Computer EnvironmentsConference on Neural Information Processing Systems (NeurIPS)Tianbao Xie, Danyang Zhang, Jixuan Chen, et al.2024 · 264 citations
  2. DeepSeek-R1 Thoughtology: Let's think about LLM ReasoningarXiv:2504.07128Sara Vera Marjanovic, Arkil Patel, Vaibhav Adlakha, et al.2025 · 47 citations
  3. OpenCUA: Open Foundations for Computer-Use Agents ↗neural information processing systems · no summary yetXinyuan Wang et al.2025 · 29 citations

 Co-authors here

12 of 17 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 333 times (of the 149,439 papers whose bibliographies we read); 122 citing papers with a page here →.

Updated

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