Heuristics-based algorithm to dynamically adapt icon sizes and layouts on touch devices. - Ajay Jain; Mohit Chandra (ACM SIGSOFT Softw. Eng. Notes, 2014)

An extensible and nested gesture for drawing tools. - Mukul; Ajay Jain; Mohit Chandra; Prabhat Mahapatra (ACM SIGSOFT Softw. Eng. Notes, 2014)

Exact Passive-Aggressive Algorithms for Learning to Rank Using Interval Labels. - Naresh Manwani; Mohit Chandra (CoRR, 2018)

AbuseAnalyzer: Abuse Detection, Severity and Target Prediction for Gab Posts. - Mohit Chandra; Ashwin Pathak; Eesha Dutta; Paryul Jain; Manish Gupta 001; Manish Shrivastava 001; Ponnurangam Kumaraguru (COLING, 2020)

Exact Passive-Aggressive Algorithms for Ordinal Regression Using Interval Labels. - Naresh Manwani; Mohit Chandra (IEEE Trans. Neural Networks Learn. Syst., 2020)

"A Virus Has No Religion": Analyzing Islamophobia on Twitter During the COVID-19 Outbreak. - Mohit Chandra; Manvith Reddy; Shradha Sehgal; Saurabh Gupta 007; Arun Balaji Buduru; Ponnurangam Kumaraguru (HT, 2021)

"Subverting the Jewtocracy": Online Antisemitism Detection Using Multimodal Deep Learning. - Mohit Chandra; Dheeraj Reddy Pailla; Himanshu Bhatia; AadilMehdi J. Sanchawala; Manish Gupta 001; Manish Shrivastava 001; Ponnurangam Kumaraguru (WebSci, 2021)

What Makes Some Workplaces More Favorable to Remote Work? Unpacking Employee Experiences During COVID-19 Via Glassdoor. - Mohit Chandra; Munmun De Choudhury (WebSci, 2023)

Towards Massively Multi-domain Multilingual Readability Assessment. - Tarek Naous; Michael J. Ryan; Mohit Chandra; Wei Xu 004 (CoRR, 2023)

Understanding the Humans Behind Online Misinformation: An Observational Study Through the Lens of the COVID-19 Pandemic. - Mohit Chandra; Anush Mattapalli; Munmun De Choudhury (CoRR, 2023)

ReadMe++: Benchmarking Multilingual Language Models for Multi-Domain Readability Assessment. - Tarek Naous; Michael J. Ryan; Anton Lavrouk; Mohit Chandra; Wei Xu 004 (EMNLP, 2024)

Better to Ask in English: Cross-Lingual Evaluation of Large Language Models for Healthcare Queries. - Yiqiao Jin; Mohit Chandra; Gaurav Verma; Yibo Hu 002; Munmun De Choudhury; Srijan Kumar (WWW, 2024)

MedHalu: Hallucinations in Responses to Healthcare Queries by Large Language Models. - Vibhor Agarwal; Yiqiao Jin; Mohit Chandra; Munmun De Choudhury; Srijan Kumar; Nishanth Sastry (CoRR, 2024)

From Lived Experience to Insight: Unpacking the Psychological Risks of Using AI Conversational Agents. - Mohit Chandra; Suchismita Naik; Denae Ford; Ebele Okoli; Munmun De Choudhury; Mahsa Ershadi; Gonzalo A. Ramos; Javier Hernandez; Ananya Bhattacharjee; Shahed Warreth; Jina Suh (FAccT, 2025)

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; Harneet Singh Khanuja; Jose Suarez Campayo; Zihang Li; Michael L. Birnbaum; Munmun De Choudhury (NAACL (Long Papers), 2025)

A Framework for Situating Innovations, Opportunities, and Challenges in Advancing Vertical Systems with Large AI Models. - Gaurav Verma; Jiawei Zhou 002; Mohit Chandra; Srijan Kumar; Munmun De Choudhury (CoRR, 2025)

Longitudinal Study on Social and Emotional Use of AI Conversational Agent. - Mohit Chandra; Javier Hernandez; Gonzalo Ramos 001; Mahsa Ershadi; Ananya Bhattacharjee; Judith Amores; Ebele Okoli; Ann Paradiso; Shahed Warreth; Jina Suh (CoRR, 2025)

Reasoning Is Not All You Need: Examining LLMs for Multi-Turn Mental Health Conversations. - Mohit Chandra; Siddharth Sriraman; Harneet Singh Khanuja; Yiqiao Jin; Munmun De Choudhury (CoRR, 2025)