| On the ability and limitations of transformers to recognize formal languages S Bhattamishra, K Ahuja, N Goyal arXiv preprint arXiv:2009.11264, 2020 | 99 | 2020 |
| MEGA: Multilingual Evaluation of Generative AI K Ahuja, R Hada, M Ochieng, P Jain, H Diddee, S Maina, T Ganu, S Segal, ... arXiv preprint arXiv:2303.12528, 2023 | 86 | 2023 |
| Syntax-Guided Controlled Generation of Paraphrases A Kumar, K Ahuja, R Vadapalli, P Talukdar Transactions of the Association for Computational Linguistics 8, 330-345, 2020 | 82 | 2020 |
| Learning to Optimize Molecular Geometries Using Reinforcement Learning K Ahuja, WH Green, YP Li Journal of Chemical Theory and Computation 17 (2), 818-825, 2021 | 24 | 2021 |
| In-Context Learning through the Bayesian Prism K Ahuja, M Panwar, N Goyal arXiv preprint arXiv:2306.04891, 2023 | 14 | 2023 |
| Multi Task Learning For Zero Shot Performance Prediction of Multilingual Models K Ahuja, S Kumar, S Dandapat, M Choudhury arXiv preprint arXiv:2205.06130, 2022 | 13 | 2022 |
| Beyond Static Models and Test Sets: Benchmarking the Potential of Pre-trained Models Across Tasks and Languages K Ahuja, S Dandapat, S Sitaram, M Choudhury arXiv preprint arXiv:2205.06356, 2022 | 10 | 2022 |
| On the Practical Ability of Recurrent Neural Networks to Recognize Hierarchical Languages S Bhattamishra, K Ahuja, N Goyal arXiv preprint arXiv:2011.03965, 2020 | 10 | 2020 |
| On the Calibration of Massively Multilingual Language Models K Ahuja, S Sitaram, S Dandapat, M Choudhury arXiv preprint arXiv:2210.12265, 2022 | 8 | 2022 |
| On evaluating and mitigating gender biases in multilingual settings A Vashishtha, K Ahuja, S Sitaram arXiv preprint arXiv:2307.01503, 2023 | 4 | 2023 |
| Everything you need to know about multilingual LLMs: Towards fair, performant and reliable models for languages of the world S Sitaram, M Choudhury, B Patra, V Chaudhary, K Ahuja, K Bali Proceedings of the 61st Annual Meeting of the Association for Computational …, 2023 | 3 | 2023 |
| The SUMEval 2022 Shared Task on Performance Prediction of Multilingual Pre-trained Language Models K Ahuja, A Anastasopoulos, B Patra, G Neubig, M Choudhury, ... Proceedings of the First Workshop on Scaling Up Multilingual Evaluation, 1-7, 2022 | 3 | 2022 |
| Global Readiness of Language Technology for Healthcare: What would it Take to Combat the Next Pandemic? I Mondal, K Ahuja, M Jain, JO Neil, K Bali, M Choudhury arXiv preprint arXiv:2204.02790, 2022 | 3 | 2022 |
| Software sensor development for product concentration monitoring in fed-batch fermentation process using dynamic principal component regression K Ahuja, AK Pani 2018 International Conference on Soft-computing and Network Security (ICSNS …, 2018 | 3 | 2018 |
| Breaking Language Barriers with a LEAP: Learning Strategies for Polyglot LLMs A Nambi, V Balloli, M Ranjit, T Ganu, K Ahuja, S Sitaram, K Bali arXiv preprint arXiv:2305.17740, 2023 | 2 | 2023 |
| On the Economics of Multilingual Few-shot Learning: Modeling the Cost-Performance Trade-offs of Machine Translated and Manual Data K Ahuja, M Choudhury, S Dandapat arXiv preprint arXiv:2205.06350, 2022 | 2 | 2022 |
| MAFIA: Multi-Adapter Fused Inclusive LanguAge Models P Jain, A Sathe, V Gumma, K Ahuja, S Sitaram arXiv preprint arXiv:2402.07519, 2024 | | 2024 |
| In-Context Learning and Bayesian Inference M Panwar, K Ahuja, N Goyal R0-FoMo: Robustness of Few-shot and Zero-shot Learning in Large Foundation …, 2023 | | 2023 |
| Transformers Can Learn To Solve Linear-Inverse Problems In-Context K Ahuja, M Panwar, N Goyal NeurIPS 2023 Workshop on Deep Learning and Inverse Problems, 2023 | | 2023 |
| Towards Analyzing Self-attention via Linear Neural Network P Chandra, TK Sinha, K Ahuja, A Garg, N Goyal | | 2023 |
Navin GoyalMicrosoft ResearchVerified email at microsoft.com
