Neural Information Retrieval: A Literature Review. - Ye Zhang; Md. Mustafizur Rahman; Alex Braylan; Brandon Dang; Heng-Lu Chang; Henna Kim; Quinten McNamara; Aaron Angert; Edward Banner; Vivek Khetan; Tyler McDonnell; An Thanh Nguyen 001; et al. (CoRR, 2016)

Correlation and Prediction of Evaluation Metrics in Information Retrieval. - Mücahid Kutlu; Vivek Khetan; Matthew Lease (CoRR, 2018)

Neural information retrieval: at the end of the early years. - Kezban Dilek Onal; Ye Zhang; Ismail Sengor Altingovde; Md. Mustafizur Rahman; Pinar Karagoz; Alex Braylan; Brandon Dang; Heng-Lu Chang; Henna Kim; Quinten McNamara; Aaron Angert; Edward Banner; et al. (Inf. Retr. J., 2018)

Correlation, Prediction and Ranking of Evaluation Metrics in Information Retrieval. - Soumyajit Gupta; Mücahid Kutlu; Vivek Khetan; Matthew Lease (ECIR (1), 2019)

Causal BERT: Language Models for Causality Detection Between Events Expressed in Text. - Vivek Khetan; Roshni R. Ramnani; Mayuresh Anand; Shubhashis Sengupta; Andrew E. Fano (SAI (1), 2021)

Knowledge Graph Anchored Information-Extraction for Domain-Specific Insights. - Vivek Khetan; K. M. Annervaz; Erin B. Wetherley; Elena Eneva; Shubhashis Sengupta; Andrew E. Fano (CoRR, 2021)

MIMICause : Defining, identifying and predicting types of causal relationships between biomedical concepts from clinical notes. - Vivek Khetan; Md Imbesat Hassan Rizvi; Jessica Huber; Paige Bartusiak; Bogdan Sacaleanu; Andrew E. Fano (CoRR, 2021)

Cross-Domain Reasoning via Template Filling. - Dheeraj Rajagopal; Vivek Khetan; Bogdan Sacaleanu; Anatole Gershman; Andrew E. Fano; Eduard H. Hovy (CoRR, 2021)

Identifying causal associations in tweets using deep learning: Use case on diabetes-related tweets from 2017-2021. - Adrian Ahne; Vivek Khetan; Xavier Tannier; Md Imbesat Hassan Rizvi; Thomas Czernichow; Francisco Orchard; Charline Bour; Andrew E. Fano; Guy Fagherazzi (CoRR, 2021)

MIMICause: Representation and automatic extraction of causal relation types from clinical notes. - Vivek Khetan; Md Imbesat Hassan Rizvi; Jessica Huber; Paige Bartusiak; Bogdan Sacaleanu; Andrew E. Fano (ACL (Findings), 2022)

CHARD: Clinical Health-Aware Reasoning Across Dimensions for Text Generation Models. - Steven Y. Feng; Vivek Khetan; Bogdan Sacaleanu; Anatole Gershman; Eduard H. Hovy (EACL, 2023)

RedHOT: A Corpus of Annotated Medical Questions, Experiences, and Claims on Social Media. - Somin Wadhwa; Vivek Khetan; Silvio Amir; Byron C. Wallace (EACL (Findings), 2023)

Template Filling for Controllable Commonsense Reasoning. - Dheeraj Rajagopal; Vivek Khetan; Bogdan Sacaleanu; Anatole Gershman; Andrew E. Fano; Eduard H. Hovy (IJCNLP (Findings), 2023)

SemEval-2023 Task 8: Causal Medical Claim Identification and Related PIO Frame Extraction from Social Media Posts. - Vivek Khetan; Somin Wadhwa; Byron C. Wallace; Silvio Amir (SemEval@ACL, 2023)

DEFT: Data Efficient Fine-Tuning for Large Language Models via Unsupervised Core-Set Selection. - Devleena Das; Vivek Khetan (CoRR, 2023)

DEFT-UCS: Data Efficient Fine-Tuning for Pre-Trained Language Models via Unsupervised Core-Set Selection for Text-Editing. - Devleena Das; Vivek Khetan (EMNLP, 2024)

Enhancing Retrieval for ESGLLM via ESG-CID - A Disclosure Content Index Finetuning Dataset for Mapping GRI and ESRS. - Shafiuddin Rehan Ahmed; Ankit Parag Shah; Quan Hung Tran; Vivek Khetan; Sukryool Kang; Ankit Mehta; Yujia Bao; Wei Wei 019 (CoRR, 2025)