Vivek Khetan

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 19

Top Topics

Information Retrieval

Top Venues

Publications

Vivek Khetan
Beyond One-Size-Fits-All: Multi-Domain, Multi-Task Framework for Embedding Model Selection. CoRR (2024)
Steven Y. Feng, Vivek Khetan, Bogdan Sacaleanu, Anatole Gershman, Eduard H. Hovy
CHARD: Clinical Health-Aware Reasoning Across Dimensions for Text Generation Models. EACL (2023)
Vivek Khetan, Somin Wadhwa, Byron C. Wallace, Silvio Amir
SemEval-2023 Task 8: Causal Medical Claim Identification and Related PIO Frame Extraction from Social Media Posts. SemEval@ACL (2023)
Devleena Das, Vivek Khetan
DEFT: Data Efficient Fine-Tuning for Large Language Models via Unsupervised Core-Set Selection. CoRR (2023)
Somin Wadhwa, Vivek Khetan, Silvio Amir, Byron C. Wallace
RedHOT: A Corpus of Annotated Medical Questions, Experiences, and Claims on Social Media. EACL (Findings) (2023)
Dheeraj Rajagopal, Vivek Khetan, Bogdan Sacaleanu, Anatole Gershman, Andrew E. Fano, Eduard H. Hovy
Template Filling for Controllable Commonsense Reasoning. IJCNLP (Findings) (2023)
Steven Y. Feng, Vivek Khetan, Bogdan Sacaleanu, Anatole Gershman, Eduard H. Hovy
CHARD: Clinical Health-Aware Reasoning Across Dimensions for Text Generation Models. CoRR (2022)
Vivek Khetan, Md Imbesat Hassan Rizvi, Jessica Huber, Paige Bartusiak, Bogdan Sacaleanu, Andrew E. Fano
MIMICause: Representation and automatic extraction of causal relation types from clinical notes. ACL (Findings) (2022)
Somin Wadhwa, Vivek Khetan, Silvio Amir, Byron C. Wallace
RedHOT: A Corpus of Annotated Medical Questions, Experiences, and Claims on Social Media. CoRR (2022)
Adrian Ahne, Vivek Khetan, Xavier Tannier, Md Imbesat Hassan Rizvi, Thomas Czernichow, Francisco Orchard, Charline Bour, Andrew E. Fano, Guy Fagherazzi
Identifying causal associations in tweets using deep learning: Use case on diabetes-related tweets from 2017-2021. CoRR (2021)
Dheeraj Rajagopal, Vivek Khetan, Bogdan Sacaleanu, Anatole Gershman, Andrew E. Fano, Eduard H. Hovy
Cross-Domain Reasoning via Template Filling. CoRR (2021)
Vivek Khetan, Roshni R. Ramnani, Mayuresh Anand, Shubhashis Sengupta, Andrew E. Fano
Causal BERT: Language Models for Causality Detection Between Events Expressed in Text. SAI (1) (2021)
Vivek Khetan, K. M. Annervaz, Erin B. Wetherley, Elena Eneva, Shubhashis Sengupta, Andrew E. Fano
Knowledge Graph Anchored Information-Extraction for Domain-Specific Insights. CoRR (2021)
Vivek Khetan, Md Imbesat Hassan Rizvi, Jessica Huber, Paige Bartusiak, Bogdan Sacaleanu, Andrew E. Fano
MIMICause : Defining, identifying and predicting types of causal relationships between biomedical concepts from clinical notes. CoRR (2021)
Vivek Khetan, Roshni R. Ramnani, Mayuresh Anand, Shubhashis Sengupta, Andrew E. Fano
Causal-BERT : Language models for causality detection between events expressed in text. CoRR (2020)
Soumyajit Gupta, Mücahid Kutlu, Vivek Khetan, Matthew Lease
Correlation, Prediction and Ranking of Evaluation Metrics in Information Retrieval. ECIR (1) (2019)
Mücahid Kutlu, Vivek Khetan, Matthew Lease
Correlation and Prediction of Evaluation Metrics in Information Retrieval. CoRR (2018)
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, Vivek Khetan, Tyler McDonnell, An Thanh Nguyen, Dan Xu, Byron C. Wallace, Maarten de Rijke, Matthew Lease
Neural information retrieval: at the end of the early years. Inf. Retr. J. 21 (2-3) (2018)
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, Dan Xu, Byron C. Wallace, Matthew Lease
Neural Information Retrieval: A Literature Review. CoRR (2016)