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researcher

E. Rangan

2 papers hereh-index 10853 citations39 works total

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

author position
  • middle author2

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • cs.CL2

identity via Semantic Scholar / OpenAlex

most citedDiagnostic Reasoning Prompts Reveal the Potential for Large Language Model Interpretability in Medicine

7 citations · 8 across the 2 of their papers we have counts for

collaborators

2 papers

cs.CL2024★ 1 cited

Fine Tuning Large Language Models for Medicine: The Role and Importance of Direct Preference Optimization

Thomas Savage, Stephen Ma, Abdessalem Boukil +4

Large Language Model (LLM) fine tuning is underutilized in the field of medicine. Two of the most common methods of fine tuning are Supervised Fine Tuning (SFT) and Direct Preferen…

cs.CL2023★ 7 cited

Diagnostic Reasoning Prompts Reveal the Potential for Large Language Model Interpretability in Medicine

Thomas Savage, Ashwin Nayak, Robert Gallo +2

One of the major barriers to using large language models (LLMs) in medicine is the perception they use uninterpretable methods to make clinical decisions that are inherently differ…

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