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Mohit Chandra

Georgia Institute of Technology

6 papers hereh-index 9417 citations13 works total

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

author position
  • first author4
  • middle author1

Across the 5 of 6 papers where every author was matched, so the position is known.

fields
  • cs.CL4
  • cs.HC2
affiliations
  • Georgia Institute of Technology
HomepageORCID 0000-0001-5030-6647
same name
  • Mohit Chandra — 3 papers, h 2
  • Mohit Chandra — 1 paper, 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

collaborators
Showing cs.CLShow all

4 papers · 1 filter

cs.CL2025

MedHalu: Hallucinations in Responses to Healthcare Queries by Large Language Models

Vibhor Agarwal, Yiqiao Jin, Mohit Chandra +3

Large language models (LLMs) are starting to complement traditional information seeking mechanisms such as web search. LLM-powered chatbots like ChatGPT are gaining prominence amon…

cs.CL2025

Reasoning Is Not All You Need: Examining LLMs for Multi-Turn Mental Health Conversations

Mohit Chandra, Siddharth Sriraman, Harneet Singh Khanuja +2

Limited access to mental healthcare, extended wait times, and increasing capabilities of Large Language Models (LLMs) has led individuals to turn to LLMs for fulfilling their menta…

cs.CL2025

Lived Experience Not Found: LLMs Struggle to Align with Experts on Addressing Adverse Drug Reactions from Psychiatric Medication Use

Mohit Chandra, Siddharth Sriraman, Gaurav Verma +5

Adverse Drug Reactions (ADRs) from psychiatric medications are the leading cause of hospitalizations among mental health patients. With healthcare systems and online communities fa…

cs.CL2024

ReadMe++: Benchmarking Multilingual Language Models for Multi-Domain Readability Assessment

Tarek Naous, Michael J. Ryan, Anton Lavrouk +2

We present a comprehensive evaluation of large language models for multilingual readability assessment. Existing evaluation resources lack domain and language diversity, limiting t…

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