Vivek Khetan

According to our database, Vivek Khetan authored at least 16 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

DEFT-UCS: Data Efficient Fine-Tuning for Pre-Trained Language Models via Unsupervised Core-Set Selection for Text-Editing.

Devleena Das, Vivek Khetan

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2023

DEFT: Data Efficient Fine-Tuning for Large Language Models via Unsupervised Core-Set Selection.

Devleena Das, Vivek Khetan

CoRR, 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

Proceedings of the The 17th International Workshop on Semantic Evaluation, 2023

Template Filling for Controllable Commonsense Reasoning.

Dheeraj Rajagopal, Vivek Khetan, Bogdan Sacaleanu, Anatole Gershman, Andrew E. Fano, Eduard H. Hovy

Proceedings of the Findings of the Association for Computational Linguistics: IJCNLP-AACL 2023, 2023

RedHOT: A Corpus of Annotated Medical Questions, Experiences, and Claims on Social Media.

Somin Wadhwa, Vivek Khetan, Silvio Amir, Byron C. Wallace

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2023, 2023

CHARD: Clinical Health-Aware Reasoning Across Dimensions for Text Generation Models.

Steven Y. Feng, Vivek Khetan, Bogdan Sacaleanu, Anatole Gershman, Eduard H. Hovy

Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

2022

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

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

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

Cross-Domain Reasoning via Template Filling.

Dheeraj Rajagopal, Vivek Khetan, Bogdan Sacaleanu, Anatole Gershman, Andrew E. Fano, Eduard H. Hovy

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

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

Causal BERT: Language Models for Causality Detection Between Events Expressed in Text.

Vivek Khetan, Roshni R. Ramnani, Mayuresh Anand, Shubhashis Sengupta, Andrew E. Fano

Proceedings of the Intelligent Computing, 2021

2019

Correlation, Prediction and Ranking of Evaluation Metrics in Information Retrieval.

Soumyajit Gupta, Mücahid Kutlu, Vivek Khetan, Matthew Lease

Proceedings of the Advances in Information Retrieval, 2019

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, Vivek Khetan, Tyler McDonnell, An Thanh Nguyen, Dan Xu, Byron C. Wallace, Maarten de Rijke, Matthew Lease

Inf. Retr. J., 2018

Correlation and Prediction of Evaluation Metrics in Information Retrieval.

Mücahid Kutlu, Vivek Khetan, Matthew Lease

CoRR, 2018

2016

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, Dan Xu, Byron C. Wallace, Matthew Lease

CoRR, 2016