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Dianbo Liu

Dianbo Liu has 2 papers in our library, in 2025–2026, most of them on Language models & pretraining; often with Anirudh Goyal, Vedant Shah.

2 papers in our library · 2025–2026

OpenAlex · ORCID · Wikidata · h-index 22 · 144 works · 6,260 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 11 times in our library · 2 more in our library without a page yet · ⭐ Paper Stars ranking: #12509

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

🎓National University of SingaporeSingapore · Singapore2024–2026 · 66 paperscurrent🔬Mila - Quebec Artificial Intelligence InstituteMontreal · Canada2021–2026 · 22 paperscurrent🎓Massachusetts Institute of TechnologyCambridge · United States2017–2025 · 36 papers🔬MIT Computer Science and Artificial Intelligence LaboratoryCambridge · United States2017–2025 · 27 papers🎓Harvard UniversityCambridge · United States2018–2025 · 22 papers🏥Boston Children's HospitalBoston · United States2019–2022 · 14 papers🔬Broad InstituteCambridge · United States2017–2024 · 11 papers🎓University of DundeeDundee · United Kingdom2017–2019 · 5 papers🏥Shanghai Pulmonary HospitalShanghai · China2020–2022 · 4 papers🎓Stanford UniversityStanford · United States2020–2022 · 4 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 19 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 4The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksComputer Science · 2 worksArts and Humanities · 1 workLanguage and Linguistics · 1 work

🧭 Topics 1Research subjects and languages the work is about.Language models & pretraining · 1 work

 Works by year

2020s

20261 paper20251 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Auto-Discovery-Bench: Diagnosing Structured State Tracking in Oracle-Guided Discovery (2025 · 6 citations)
    Agents meant to help with scientific discovery must keep a structured picture of a hidden system accurate across many rounds of experiments and feedback.
  2. Decoupling Generalization and Adaptation in Meta-Learning for Large Language Models (2026)
    Meta-learning methods for LLMs such as MAML-en-LLM and ABMLL help LoRA-adapted models learn new tasks quickly.

All works

4 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. FloW: A Dataset and Benchmark for Floating Waste Detection in Inland Waters ↗IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yetYuwei Cheng et al.2021 · 149 citations
  2. Two-stage Federated Phenotyping and Patient Representation Learning ↗Proceedings of the 18th BioNLP Workshop and Shared Task · no summary yetDianbo Liu, Dmitriy Dligach, Timothy Miller2019 · 102 citations
  3. Auto-Discovery-Bench: Diagnosing Structured State Tracking in Oracle-Guided DiscoveryarXiv:2502.15224Tingting Chen, Beibei Lin, Srinivas Anumasa, et al.2025 · 6 citations
  4. Decoupling Generalization and Adaptation in Meta-Learning for Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Nitin Vetcha, Binqian Xu, Dianbo Liu2026

 Co-authors here

2 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 11 times (of the 149,439 papers whose bibliographies we read); 3 citing papers with a page here →.

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