Quantifying Changes in the Gangotri Glacier of Central Himalaya: Evidence for Increasing Mass Loss and Decreasing Velocity. - Shashank Bhushan; Tajdarul Hassan Syed; Anil V. Kulkarni; Prateek Gantayat; Vibhor Agarwal (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2017)

Under the Spotlight: Web Tracking in Indian Partisan News Websites. - Vibhor Agarwal; Yash Vekaria; Pushkal Agarwal; Sangeeta Mahapatra; Shounak Set; Sakthi Balan Muthiah; Nishanth Sastry; Nicolas Kourtellis (ICWSM, 2021)

A Metadata-Based Event Detection Method Using Temporal Herding Factor and Social Synchrony on Twitter Data. - Nirmal Kumar Sivaraman; Vibhor Agarwal; Yash Vekaria; Sakthi Balan Muthiah (RCIS, 2021)

Differential Tracking Across Topical Webpages of Indian News Media. - Yash Vekaria; Vibhor Agarwal; Pushkal Agarwal; Sangeeta Mahapatra; Sakthi Balan Muthiah; Nishanth Sastry; Nicolas Kourtellis (WebSci, 2021)

GraphNLI: A Graph-based Natural Language Inference Model for Polarity Prediction in Online Debates. - Vibhor Agarwal; Sagar Joglekar 001; Anthony P. Young; Nishanth Sastry (WWW, 2022)

"Way back then": A Data-driven View of 25+ years of Web Evolution. - Vibhor Agarwal; Nishanth Sastry (WWW, 2022)

Modelling online debates with argumentation theory. - Anthony P. Young; Sagar Joglekar 001; Vibhor Agarwal; Nishanth Sastry (SIGWEB Newsl., 2022)

Improving the Detection of Multilingual Online Attacks with Rich Social Media Data from Singapore. - Janosch Haber; Bertie Vidgen; Matthew Chapman; Vibhor Agarwal; Roy Ka-Wei Lee; Yong Keong Yap; Paul Röttger (ACL (1), 2023)

AI in the Gray: Exploring Moderation Policies in Dialogic Large Language Models vs. Human Answers in Controversial Topics. - Vahid Ghafouri; Vibhor Agarwal; Yong Zhang; Nishanth Sastry; Jose M. Such; Guillermo Suarez-Tangil (CIKM, 2023)

AnnoBERT: Effectively Representing Multiple Annotators' Label Choices to Improve Hate Speech Detection. - Wenjie Yin; Vibhor Agarwal; Aiqi Jiang; Arkaitz Zubiaga; Nishanth Sastry (ICWSM, 2023)

HateRephrase: Zero- and Few-Shot Reduction of Hate Intensity in Online Posts using Large Language Models. - Vibhor Agarwal; Yu Chen; Nishanth Sastry (CoRR, 2023)

GASCOM: Graph-based Attentive Semantic Context Modeling for Online Conversation Understanding. - Vibhor Agarwal; Yu Chen; Nishanth Sastry (CoRR, 2023)

Decentralised Moderation for Interoperable Social Networks: A Conversation-Based Approach for Pleroma and the Fediverse. - Vibhor Agarwal; Aravindh Raman; Nishanth Sastry; Ahmed M. Abdelmoniem; Gareth Tyson; Ignacio Castro (ICWSM, 2024)

"Which LLM should I use?": Evaluating LLMs for tasks performed by Undergraduate Computer Science Students in India. - Vibhor Agarwal; Nakul Thureja; Madhav Krishan Garg; Sahiti Dharmavaram; Meghna; Dhruv Kumar 001 (CoRR, 2024)

CodeMirage: Hallucinations in Code Generated by Large Language Models. - Vibhor Agarwal; Yulong Pei; Salwa Alamir; Xiaomo Liu (CoRR, 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)

A Graph-Based Context-Aware Model to Understand Online Conversations. - Vibhor Agarwal; Anthony P. Young; Sagar Joglekar 001; Nishanth Sastry (ACM Trans. Web, 2024)

Conversation Kernels: A Flexible Mechanism to Learn Relevant Context for Online Conversation Understanding. - Vibhor Agarwal; Arjoo Gupta; Suparna De; Nishanth Sastry (ICWSM, 2025)