| Starcoder 2 and the stack v2: The next generation A Lozhkov, R Li, LB Allal, F Cassano, J Lamy-Poirier, N Tazi, A Tang, ... arXiv preprint arXiv:2402.19173, 2024 | 97 | 2024 |
| Elites Tweet? Characterizing the Twitter Verified User Network I Paul, A Khattar, P Kumaraguru, M Gupta, S Chopra 2019 IEEE 35th International Conference on Data Engineering Workshops (ICDEW …, 2019 | 39 | 2019 |
| Adapters: A unified library for parameter-efficient and modular transfer learning C Poth, H Sterz, I Paul, S Purkayastha, L Engländer, T Imhof, I Vulić, ... arXiv preprint arXiv:2311.11077, 2023 | 27 | 2023 |
| Bigcodebench: Benchmarking code generation with diverse function calls and complex instructions TY Zhuo, MC Vu, J Chim, H Hu, W Yu, R Widyasari, INB Yusuf, H Zhan, ... arXiv preprint arXiv:2406.15877, 2024 | 16* | 2024 |
| IRCoder: Intermediate Representations Make Language Models Robust Multilingual Code Generators I Paul, J Luo, G Glavaš, I Gurevych arXiv preprint arXiv:2403.03894, 2024 | 5 | 2024 |
| What sets Verified Users apart? Insights, Analysis and Prediction of Verified Users on Twitter I Paul, A Khattar, S Chopra, P Kumaraguru, M Gupta Proceedings of the 10th ACM Conference on Web Science, 215-224, 2019 | 5 | 2019 |
| EMMA-500: Enhancing Massively Multilingual Adaptation of Large Language Models S Ji, Z Li, I Paul, J Paavola, P Lin, P Chen, D O'Brien, H Luo, H Schütze, ... arXiv preprint arXiv:2409.17892, 2024 | | 2024 |
| Sub-Task Imputation via Self-Labelling to Train Image Moderation Models on Sparse Noisy Data I Paul, S Negi Proceedings of the 31st ACM International Conference on Information …, 2022 | | 2022 |
| Insights into, Analyses and Prediction of Verified Users on Twitter I Paul International Institute of Information Technology Hyderabad, 2019 | | 2019 |
Abhinav KhattarNVIDIA在 nvidia.com 的电子邮件经过验证
