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researcher

S. Srinivasan

7 papers hereh-index 592 citations19 works total

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

author position
  • first author1
  • middle author5
  • last author1

Across the 7 of 7 papers where every author was matched, so the position is known.

fields
  • cs.AI3
  • cs.CL3
  • cs.IR1
same name
  • S. Srinivasan — 57 papers, h 30
  • S. Srinivasan — 55 papers, h 28
  • S. Srinivasan — 19 papers, h 15
  • S. Srinivasan — 14 papers, h 7
  • S. Srinivasan — 13 papers, h 20
  • S. Srinivasan — 13 papers, h 15

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

activity
20232026
most citedQuestion-Answering System Extracts Information on Injection Drug Use from Clinical Notes

3 citations · 5 across the 7 of their papers we have counts for

collaborators
Showing 2024Show all

3 papers · 1 filter

cs.AI2024

Advancing NLP Security by Leveraging LLMs as Adversarial Engines

Sudarshan Srinivasan, Maria Mahbub, Amir Sadovnik

This position paper proposes a novel approach to advancing NLP security by leveraging Large Language Models (LLMs) as engines for generating diverse adversarial attacks. Building u…

cs.CL2024★ 1 cited

Leveraging Large Language Models to Extract Information on Substance Use Disorder Severity from Clinical Notes: A Zero-shot Learning Approach

Maria Mahbub, Gregory M. Dams, Sudarshan Srinivasan +4

Substance use disorder (SUD) poses a major concern due to its detrimental effects on health and society. SUD identification and treatment depend on a variety of factors such as sev…

cs.IR2024★ 1 cited

Dynamic Q&A of Clinical Documents with Large Language Models

Ran Elgedawy, Ioana Danciu, Maria Mahbub +1

Electronic health records (EHRs) house crucial patient data in clinical notes. As these notes grow in volume and complexity, manual extraction becomes challenging. This work introd…

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