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Rahul Thapa

Rahul Thapa has 2 papers in our library, in 2026, most of them on Reasoning, Language models & pretraining; often with James Zou, Eric Wu, Haotian Ye.

2 papers in our library · 2026

OpenAlex · ORCID · h-index 14 · 43 works · 1,079 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 36 times in our library · 3 more in our library without a page yet · ⭐ Paper Stars ranking: #10424

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

🎓Stanford UniversityStanford · United States2023–2026 · 22 paperscurrent🏢DascenaOakland · United States2021–2022 · 7 papers🎓Villanova UniversityRadnor · United States2020–2022 · 6 papers🏥Stanford MedicineStanford · United States2023–2024 · 4 papers🏥Stanford Health CareStanford · United States2023–2024 · 3 papers

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 9The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 2 worksComputer Science · 2 worksArtificial Intelligence · 2 worksLanguage and Linguistics · 2 worksComputer Vision and Pattern Recognition · 1 workBiochemistry, Genetics and Molecular Biology · 1 workHealth Informatics · 1 workMedicine · 1 workMolecular Biology · 1 work

🧭 Topics 2Research subjects and languages the work is about.Reasoning · 2 worksLanguage models & pretraining · 1 work

 Works by year

2020s

20262 papers

 Papers

The most cited first (OpenAlex and our library).

  1. OctoTools: A Multi-Agent Framework with Extensible Tools for Complex Reasoning (2026 · 5 citations)
    LLMs still struggle with hard problems that combine image understanding, specialist knowledge, calculation and several reasoning steps.
  2. Reasoning or Knowledge: Stratified Evaluation of Biomedical LLMs (2026 · 1 citation)
    Popular biomedical QA benchmarks such as MedQA, MedMCQA and PubMedQA mix two kinds of questions: some need multi-step clinical inference, and others only need a remembered fact.

All works

5 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. MedAlign: A Clinician-Generated Dataset for Instruction Following with Electronic Medical Records ↗Proceedings of the AAAI Conference on Artificial Intelligence · no summary yetScott L. Fleming et al.2024 · 82 citations
  2. Evaluation of GPT-3.5 and GPT-4 for supporting real-world information needs in healthcare delivery ↗arXiv:2304.13714 · no summary yetDebadutta Dash et al.2023 · 44 citations
  3. Structured Scaling of AI Discovery Across Diverse Scientific Domains ↗arXiv (Cornell University) · no summary yetHaotian Ye et al.2026 · 7 citations
  4. OctoTools: A Multi-Agent Framework with Extensible Tools for Complex ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL)Pan Lu, Bowen Chen, Sheng Liu, et al.2026 · 5 citations
  5. Reasoning or Knowledge: Stratified Evaluation of Biomedical LLMsConference of the European Chapter of the Association for Computational Linguistics (EACL)Rahul Thapa, Qingyang Wu, Kevin Wu, et al.2026 · 1 citation

 Co-authors here

8 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 36 times (of the 149,439 papers whose bibliographies we read); 8 citing papers with a page here →.

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