| 2025 | EMNLP | Improving Cross Lingual Transfer by Pretraining with Active Forgetting. | Divyanshu Aggarwal, Ashutosh Sathe, Sunayana Sitaram |
| 2025 | NAACL | Improving Consistency in LLM Inference using Probabilistic Tokenization. | Ashutosh Sathe, Divyanshu Aggarwal, Sunayana Sitaram |
| 2024 | ACL | MAPLE: Multilingual Evaluation of Parameter Efficient Finetuning of Large Language Models. | Divyanshu Aggarwal, Ashutosh Sathe, Ishaan Watts, Sunayana Sitaram |
| 2024 | ACL | Efficient Training of Language Models with Compact and Consistent Next Token Distributions. | Ashutosh Sathe, Sunita Sarawagi |
| 2024 | EACL | MAFIA: Multi-Adapter Fused Inclusive Language Models. | Prachi Jain, Ashutosh Sathe, Varun Gumma, Kabir Ahuja, Sunayana Sitaram |
| 2024 | EMNLP | A Unified Framework and Dataset for Assessing Societal Bias in Vision-Language Models. | Ashutosh Sathe, Prachi Jain, Sunayana Sitaram |
| 2024 | NAACL | MEGAVERSE: Benchmarking Large Language Models Across Languages, Modalities, Models and Tasks. | Sanchit Ahuja, Divyanshu Aggarwal, Varun Gumma, Ishaan Watts, Ashutosh Sathe, Millicent Ochieng, Rishav Hada, Prachi Jain, Mohamed Ahmed, Kalika Bali, Sunayana Sitaram |
| 2023 | EMNLP | Benchmarking and Improving Text-to-SQL Generation under Ambiguity. | Adithya Bhaskar, Tushar Tomar, Ashutosh Sathe, Sunita Sarawagi |
| 2022 | EMNLP | Diverse Parallel Data Synthesis for Cross-Database Adaptation of Text-to-SQL Parsers. | Abhijeet Awasthi, Ashutosh Sathe, Sunita Sarawagi |