| Jigsaw: Large language models meet program synthesis N Jain, S Vaidyanath, A Iyer, N Natarajan, S Parthasarathy, S Rajamani, ... Proceedings of the 44th International Conference on Software Engineering …, 2022 | 165 | 2022 |
| 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 | 40 | 2024 |
| What's in a Name? Are BERT Named Entity Representations just as Good for any other Name? S Balasubramanian, N Jain, G Jindal, A Awasthi, S Sarawagi arXiv preprint arXiv:2007.06897, 2020 | 32 | 2020 |
| Raft: Adapting language model to domain specific rag T Zhang, SG Patil, N Jain, S Shen, M Zaharia, I Stoica, JE Gonzalez arXiv preprint arXiv:2403.10131, 2024 | 14 | 2024 |
| Livecodebench: Holistic and contamination free evaluation of large language models for code N Jain, K Han, A Gu, WD Li, F Yan, T Zhang, S Wang, A Solar-Lezama, ... arXiv preprint arXiv:2403.07974, 2024 | 12 | 2024 |
| Learning accurate decision trees with bandit feedback via quantized gradient descent A Karthikeyan, N Jain, N Natarajan, P Jain arXiv preprint arXiv:2102.07567, 2021 | 11 | 2021 |
| Revisiting prompt engineering via declarative crowdsourcing AG Parameswaran, S Shankar, P Asawa, N Jain, Y Wang arXiv preprint arXiv:2308.03854, 2023 | 9 | 2023 |
| On the Robustness of Human Pose Estimation N Jain, S Shah, A Sharma, A Jain arXiv preprint arXiv:1908.06401, 2019 | 9* | 2019 |
| Llm-assisted code cleaning for training accurate code generators N Jain, T Zhang, WL Chiang, JE Gonzalez, K Sen, I Stoica arXiv preprint arXiv:2311.14904, 2023 | 8* | 2023 |
| The Counterfeit Conundrum: Can Code Language Models Grasp the Nuances of Their Incorrect Generations? A Gu, WD Li, N Jain, TX Olausson, C Lee, K Sen, A Solar-Lezama arXiv preprint arXiv:2402.19475, 2024 | 3 | 2024 |
| StaticFixer: From Static Analysis to Static Repair N Jain, S Gandhi, A Sonwane, A Kanade, N Natarajan, S Parthasarathy, ... arXiv preprint arXiv:2307.12465, 2023 | 3 | 2023 |
| R2E: Turning any Github Repository into a Programming Agent Environment N Jain, M Shetty, T Zhang, K Han, K Sen, I Stoica Forty-first International Conference on Machine Learning, 2024 | 1 | 2024 |
Nagarajan NatarajanResearcher, Microsoft Research India在 microsoft.com 的电子邮件经过验证
