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Kaushik Roy

8 papers hereh-index 6175 citations28 works total

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

author position
  • first author2
  • middle author4
  • last author2

Across the 8 of 8 papers where every author was matched, so the position is known.

fields
  • cs.AI3
  • cs.CL3
  • cs.CY1
  • cs.IR1
same name
  • Kaushik Roy — 25 papers, h 19
  • Kaushik Roy — 16 papers
  • Kaushik Roy — 10 papers, h 4
  • Kaushik Roy — 9 papers, h 4
  • Kaushik Roy — 8 papers, h 2
  • Kaushik Roy — 8 papers, h 3

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 citedLarge Language Models for Mental Health Diagnostic Assessments: Exploring The Potential of Large Language Models for Assisting with Mental Health Diagnostic Assessments -- The Depression and Anxiety Case

3 citations · 3 across the 4 of their papers we have counts for

collaborators
Showing cs.CLShow all

3 papers · 1 filter

cs.CL2026

CANDI: Contextual Alignment for Niche Domains Question Answering

Megha Chakraborty, Darssan L. Eswaramoorthi, Het Riteshkumar Shah +5

The deployment of large language models (LLMs) in specialized domains like medical diagnostics and financial advisory necessitates evaluating capabilities beyond general knowledge.…

cs.CL2025★ 3 cited

Large Language Models for Mental Health Diagnostic Assessments: Exploring The Potential of Large Language Models for Assisting with Mental Health Diagnostic Assessments -- The Depression and Anxiety Case

Kaushik Roy, Harshul Surana, Darssan Eswaramoorthi +4

Large language models (LLMs) are increasingly attracting the attention of healthcare professionals for their potential to assist in diagnostic assessments, which could alleviate th…

cs.CL2023

RDR: the Recap, Deliberate, and Respond Method for Enhanced Language Understanding

Yuxin Zi, Hariram Veeramani, Kaushik Roy +1

Natural language understanding (NLU) using neural network pipelines often requires additional context that is not solely present in the input data. Through Prior research, it has b…

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