Continual Learning with Neural Networks: A Review. - Abhijeet Awasthi; Sunita Sarawagi (COMAD/CODS, 2019)

Parallel Iterative Edit Models for Local Sequence Transduction. - Abhijeet Awasthi; Sunita Sarawagi; Rasna Goyal; Sabyasachi Ghosh; Vihari Piratla (EMNLP/IJCNLP (1), 2019)

Learning from Rules Generalizing Labeled Exemplars. - Abhijeet Awasthi; Sabyasachi Ghosh; Rasna Goyal; Sunita Sarawagi (ICLR, 2020)

Black-Box Adaptation of ASR for Accented Speech. - Kartik Khandelwal; Preethi Jyothi; Abhijeet Awasthi; Sunita Sarawagi (INTERSPEECH, 2020)

What's in a Name? Are BERT Named Entity Representations just as Good for any other Name? - Sriram Balasubramanian; Naman Jain; Gaurav Jindal; Abhijeet Awasthi; Sunita Sarawagi (RepL4NLP@ACL, 2020)

Exploiting Language Relatedness for Low Web-Resource Language Model Adaptation: An Indic Languages Study. - Yash Khemchandani; Sarvesh Mehtani; Vaidehi Patil; Abhijeet Awasthi; Partha P. Talukdar; Sunita Sarawagi (ACL/IJCNLP (1), 2021)

Error-Driven Fixed-Budget ASR Personalization for Accented Speakers. - Abhijeet Awasthi; Aman Kansal; Sunita Sarawagi; Preethi Jyothi (ICASSP, 2021)

Teaching Keyword Spotters to Spot New Keywords with Limited Examples. - Abhijeet Awasthi; Kevin Kilgour; Hassan Rom (Interspeech, 2021)

Diverse Parallel Data Synthesis for Cross-Database Adaptation of Text-to-SQL Parsers. - Abhijeet Awasthi; Ashutosh Sathe; Sunita Sarawagi (EMNLP, 2022)

Bootstrapping Multilingual Semantic Parsers using Large Language Models. - Abhijeet Awasthi; Nitish Gupta; Bidisha Samanta; Shachi Dave; Sunita Sarawagi; Partha P. Talukdar (CoRR, 2022)

Structured Case-Based Reasoning for Inference-Time Adaptation of Text-to-SQL Parsers. - Abhijeet Awasthi; Soumen Chakrabarti; Sunita Sarawagi (AAAI, 2023)

Bootstrapping Multilingual Semantic Parsers using Large Language Models. - Abhijeet Awasthi; Nitish Gupta; Bidisha Samanta; Shachi Dave; Sunita Sarawagi; Partha Talukdar (EACL, 2023)

Conditional Tree Matching for Inference-Time Adaptation of Tree Prediction Models. - Harshit Varma; Abhijeet Awasthi; Sunita Sarawagi (ICML, 2023)

NoFunEval: Funny How Code LMs Falter on Requirements Beyond Functional Correctness. - Manav Singhal; Tushar Aggarwal; Abhijeet Awasthi; Nagarajan Natarajan; Aditya Kanade 001 (CoRR, 2024)

Robust Learning of Diverse Code Edits. - Tushar Aggarwal; Swayam Singh; Abhijeet Awasthi; Aditya Kanade 001; Nagarajan Natarajan (CoRR, 2025)