| Indicxnli: Evaluating multilingual inference for indian languages D Aggarwal, V Gupta, A Kunchukuttan arXiv preprint arXiv:2204.08776, 2022 | 13 | 2022 |
| MEGAVERSE: benchmarking large language models across languages, modalities, models and tasks S Ahuja, D Aggarwal, V Gumma, I Watts, A Sathe, M Ochieng, R Hada, ... arXiv preprint arXiv:2311.07463, 2023 | 9 | 2023 |
| XInfoTabS: Evaluating multilingual tabular natural language inference B Minhas, A Shankhdhar, V Gupta, D Aggarwal, S Zhang Proceedings of the Fifth Fact Extraction and VERification Workshop (FEVER …, 2022 | 4 | 2022 |
| Evaluating Inter-Bilingual Semantic Parsing for Indian Languages D Aggarwal, V Gupta, A Kunchukuttan arXiv preprint arXiv:2304.13005, 2023 | 2 | 2023 |
| A review of deep learning techniques for protein function prediction D Aggarwal, Y Hasija arXiv preprint arXiv:2211.09705, 2022 | 2 | 2022 |
| Fine-tuning distributional semantic models for closely-related languages K Bhatia, D Aggarwal, A Vaidya Proceedings of the Eighth Workshop on NLP for Similar Languages, Varieties …, 2021 | 2 | 2021 |
| MAPLE: Multilingual Evaluation of Parameter Efficient Finetuning of Large Language Models D Aggarwal, A Sathe, S Sitaram arXiv preprint arXiv:2401.07598, 2024 | 1 | 2024 |
