| Bloom: A 176b-parameter open-access multilingual language model T Le Scao, A Fan, C Akiki, E Pavlick, S Ilić, D Hesslow, R Castagné, ... | 1446 | 2023 |
| StarCoder: may the source be with you! R Li, LB Allal, Y Zi, N Muennighoff, D Kocetkov, C Mou, M Marone, C Akiki, ... arXiv preprint arXiv:2305.06161, 2023 | 540 | 2023 |
| SantaCoder: don't reach for the stars! LB Allal, R Li, D Kocetkov, C Mou, C Akiki, CM Ferrandis, N Muennighoff, ... arXiv preprint arXiv:2301.03988, 2023 | 165 | 2023 |
| 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 | 79 | 2024 |
| Granite Code Models: A Family of Open Foundation Models for Code Intelligence M Mishra, M Stallone, G Zhang, Y Shen, A Prasad, AM Soria, M Merler, ... arXiv preprint arXiv:2405.04324, 2024 | 16 | 2024 |
| Adversarial approximate inference for speech to electroglottograph conversion AP Prathosh, V Srivastava, M Mishra IEEE/ACM Transactions on Audio, Speech, and Language Processing 27 (12 …, 2019 | 7 | 2019 |
| Dense Training, Sparse Inference: Rethinking Training of Mixture-of-Experts Language Models B Pan, Y Shen, H Liu, M Mishra, G Zhang, A Oliva, C Raffel, R Panda arXiv preprint arXiv:2404.05567, 2024 | 6 | 2024 |
| Variational Inference with Latent Space Quantization for Adversarial Resilience V Kyatham, M Mishra, TK Yadav, D Mishra, AP Prathosh arXiv preprint arXiv:1903.09940, 2019 | 5 | 2019 |
| Reducing Transformer Key-Value Cache Size with Cross-Layer Attention W Brandon, M Mishra, A Nrusimha, R Panda, JR Kelly arXiv preprint arXiv:2405.12981, 2024 | 3 | 2024 |
| Mitigating the Impact of Outlier Channels for Language Model Quantization with Activation Regularization A Nrusimha, M Mishra, N Wang, D Alistarh, R Panda, Y Kim arXiv preprint arXiv:2404.03605, 2024 | 3 | 2024 |
| Aurora-M: The First Open Source Multilingual Language Model Red-teamed according to the US Executive Order T Nakamura, M Mishra, S Tedeschi, Y Chai, JT Stillerman, F Friedrich, ... arXiv preprint arXiv:2404.00399, 2024 | 3 | 2024 |
| BRAIn: Bayesian Reward-conditioned Amortized Inference for natural language generation from feedback G Pandey, Y Nandwani, T Naseem, M Mishra, G Xu, D Raghu, S Joshi, ... arXiv preprint arXiv:2402.02479, 2024 | 2 | 2024 |
| Variational Learning for Unsupervised Knowledge Grounded Dialogs M Mishra, D Madan, G Pandey, D Contractor 31st International Joint Conference on Artificial Intelligence (IJCAI 2022), 2021 | 2 | 2021 |
| Enhancing Training Efficiency Using Packing with Flash Attention A Kundu, RD Lee, L Wynter, RK Ganti, M Mishra arXiv preprint arXiv:2407.09105, 2024 | 1 | 2024 |
| The infrastructure powering IBM's Gen AI model development T Gershon, S Seelam, B Belgodere, M Bonilla, L Hoang, D Barnett, ... arXiv preprint arXiv:2407.05467, 2024 | 1 | 2024 |
| Prompting with Pseudo-Code Instructions M Mishra, P Kumar, R Bhat, R Murthy V, D Contractor, S Tamilselvam EMNLP 2023, 2023 | 1 | 2023 |
| Power Scheduler: A Batch Size and Token Number Agnostic Learning Rate Scheduler Y Shen, M Stallone, M Mishra, G Zhang, S Tan, A Prasad, AM Soria, ... arXiv preprint arXiv:2408.13359, 2024 | | 2024 |
| Scaling Granite Code Models to 128K Context M Stallone, V Saxena, L Karlinsky, B McGinn, T Bula, M Mishra, AM Soria, ... arXiv preprint arXiv:2407.13739, 2024 | | 2024 |
| Aurora-M: The First Open Source Biden-Harris Executive Order Red teamed Multilingual Language Model M Mishra https://huggingface.co/blog/mayank-mishra/aurora, 2024 | | 2024 |
| Saving Memory Using Padding-Free Transformer Layers during Finetuning M Mishra https://huggingface.co/blog/mayank-mishra/padding-free-transformer, 2024 | | 2024 |
Rameswar PandaResearch Scientist, MIT-IBM Watson AI LabVerified email at ibm.com
