Tanay Dixit

I am an MSCS student at the University of Illinois, Urbana Champaign, where I am working with Prof. Jiawei Han. Previously, I interned at Microsoft Research, India wherein I had the pleasure of working with Sriram Rajamani and Pratyush Kumar on leveraging Large Language Models for code generation.

I graduated from Indian Institute of Technology Madras in 2023 with a bachelor's degree in Electrical Engineering and a minor in Computing. While at IIT Madras, I worked with Prof. Mitesh Khapra on analyzing and developing resources to evaluate the effectiveness of text generation evaluation metrics. I interned at the H2Lab, University of Washington where I worked with Prof. Hanna Hajishirzi on developing counterfactual data generation techniques for model interpretability. I also interned at University of Southern California, where I worked with Prof. Muhao Chen on improving factuality of summarization systems.

Email  /  CV  /  LinkedIn  /  Google Scholar  /  Semantic Scholar

Publications
PwR: Exploring the Role of Representations in Conversational Programming
Pradyumna YM, Vinod Ganesan, Dinesh Kumar Arumugam, Meghna Gupta, Nischith Shadagopan, Tanay Dixit, Sameer Segal, Pratyush Kumar, Mohit Jain, Sriram Rajamani
Under Review
[Paper]


Improving Factuality of Abstractive Summarization without Sacrificing Summary Quality
Tanay Dixit, Fei Wang, Muhao Chen
ACL 2023
[Paper][Code]


IndicMT Eval: A Dataset to Meta-Evaluate Machine Translation Metrics for Indian Languages
Ananya Sai, Tanay Dixit, Vignesh Nagarajan, Anoop Kunchukuttan, Pratyush Kumar, Mitesh M. Khapra, Raj Dabre
ACL 2023
[Paper][Code]


CORE: A Retrieve-then-Edit Framework for Counterfactual Data Generation
Tanay Dixit,Bhargavi Paranjape, Hannaneh Hajishirzi, Luke Zettlemoyer
EMNLP 2022 (Findings)
[Paper][Code]


SUPER-NATURALINSTRUCTIONS: Generalization via Declarative Instructions on 1600+ NLP Tasks
Yizhong Wang, Swaroop Mishra, Pegah Alipoormolabashi, Yeganeh Kordi, Amirreza Mirzaei, Anjana Arunkumar, Arjun Ashok, Arut Selvan Dhanasekaran, Atharva Naik, David Stap, Eshaan Pathak, Giannis Karamanolakis, Haizhi Gary Lai, Ishan Purohit, Ishani Mondal, Jacob Anderson, Kirby Kuznia, Krima Doshi, Maitreya Patel, Kuntal Kumar Pal, Mehrad Moradshahi, Mihir Parmar, Mirali Purohit, Neeraj Varshney, Phani Rohitha Kaza, Pulkit Verma, Ravsehaj Singh Puri, Rushang Karia, Shailaja Keyur Sampat, Savan Doshi, Siddhartha Mishra, Sujan Reddy, Sumanta Patro, Tanay Dixit, Xudong Shen, Chitta Baral, Yejin Choi, Noah A Smith, Hannaneh Hajishirzi, Daniel Khashabi
EMNLP, 2022
[Paper][Code]




Perturbation CheckLists for Evaluating NLG Evaluation Metrics
Ananya B Sai, Tanay Dixit, Dev Yashpal Sheth, Sreyas Mohan, Mitesh M Khapra
EMNLP, 2021
[Paper][Code]


NL-Augmenter: A Framework for Task-Sensitive Natural Language Augmentation
Kaustubh D. Dhole, Varun Gangal, Sebastian Gehrmann, ... , Tanay Dixit, ... (many authors)
NEJLT 2023 (GEM Workshop, IJCNLP 2021)
[Paper][Code]




Template from here