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R. Thapa

3 papers hereh-index 3124 citations6 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author3

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.AI1
  • cs.CL1
  • cs.LG1
same name
  • R. Thapa — 12 papers, h 8
  • R. Thapa — 6 papers, h 7
  • R. Thapa — 5 papers, h 24
  • R. Thapa — 3 papers, h 14
  • R. Thapa — 2 papers, h 41
  • R. Thapa — 2 papers, h 4

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

most citedOpenMedLM: Prompt engineering can out-perform fine-tuning in medical question-answering with open-source large language models

107 citations · 107 across the 2 of their papers we have counts for

collaborators

3 papers

cs.LG2026

Pretraining on Sleep Data Improves non-Sleep Biosignal Tasks

William Lehn-Schiøler, Magnus Ruud Kjær, Phillip Hempel +7

Sleep foundation models have recently demonstrated strong performance on in-domain polysomnography tasks, including sleep staging, apnea detection, and disease risk prediction. In…

cs.AI2026

MedGemma 1.5 Technical Report

Andrew Sellergren, Chufan Gao, Fereshteh Mahvar +39

We introduce MedGemma 1.5 4B, the latest model in the MedGemma collection. MedGemma 1.5 expands on MedGemma 1 by integrating additional capabilities: high-dimensional medical imagi…

cs.CL2024★ 107 cited

OpenMedLM: Prompt engineering can out-perform fine-tuning in medical question-answering with open-source large language models

Jenish Maharjan, Anurag Garikipati, Navan Preet Singh +7

LLMs have become increasingly capable at accomplishing a range of specialized-tasks and can be utilized to expand equitable access to medical knowledge. Most medical LLMs have invo…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.