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Byron C. Wallace

4 papers hereh-index 478 citations8 works total

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

author position
  • middle author2
  • last author2

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CL3
  • cs.LG1
same name
  • Byron C. Wallace — 56 papers, h 53
  • Byron C. Wallace — 9 papers, h 10
  • Byron C. Wallace — 7 papers, h 7
  • Byron C. Wallace — 6 papers, h 4
  • Byron C. Wallace — 6 papers, h 2
  • Byron C. Wallace — 5 papers, h 5

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 citedLeveraging ChatGPT in Pharmacovigilance Event Extraction: An Empirical Study

1 citations · 2 across the 4 of their papers we have counts for

collaborators

4 papers

cs.LG2025

Can SAEs reveal and mitigate racial biases of LLMs in healthcare?

Hiba Ahsan, Byron C. Wallace

LLMs are increasingly being used in healthcare. This promises to free physicians from drudgery, enabling better care to be delivered at scale. But the use of LLMs in this space als…

cs.CL2025

Do Activation Verbalization Methods Convey Privileged Information?

Millicent Li, Alberto Mario Ceballos Arroyo, Giordano Rogers +2

Recent interpretability methods have proposed to translate LLM internal representations into natural language descriptions using a second verbalizer LLM. This is intended to illumi…

cs.CL2024★ 1 cited

Leveraging ChatGPT in Pharmacovigilance Event Extraction: An Empirical Study

Zhaoyue Sun, Gabriele Pergola, Byron C. Wallace +1

With the advent of large language models (LLMs), there has been growing interest in exploring their potential for medical applications. This research aims to investigate the abilit…

cs.CL2024★ 1 cited

Question answering systems for health professionals at the point of care -- a systematic review

Gregory Kell, Angus Roberts, Serge Umansky +6

Objective: Question answering (QA) systems have the potential to improve the quality of clinical care by providing health professionals with the latest and most relevant evidence.…

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