| 2026 | ACL | Exploring Two-Phase Continual Instruction Fine-tuning for Multilingual Adaptation in Large Language Models. | Divyanshu Aggarwal, Sankarshan Damle, Navin Goyal, Satya Lokam, Sunayana Sitaram |
| 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 | 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 |
| 2022 | EMNLP | IndicXNLI: Evaluating Multilingual Inference for Indian Languages. | Divyanshu Aggarwal, Vivek Gupta, Anoop Kunchukuttan |