| Llama 2: Open foundation and fine-tuned chat models H Touvron, L Martin, K Stone, P Albert, A Almahairi, Y Babaei, ... arXiv preprint arXiv:2307.09288, 2023 | 13009 | 2023 |
| The llama 3 herd of models A Dubey, A Jauhri, A Pandey, A Kadian, A Al-Dahle, A Letman, A Mathur, ... arXiv preprint arXiv:2407.21783, 2024 | 2971 | 2024 |
| Effective long-context scaling of foundation models W Xiong, J Liu, I Molybog, H Zhang, P Bhargava, R Hou, L Martin, ... arXiv preprint arXiv:2309.16039, 2023 | 192 | 2023 |
| Llama 2: Open foundation and fine-tuned chat models. arXiv 2023 H Touvron, L Martin, K Stone, P Albert, A Almahairi, Y Babaei, ... arXiv preprint arXiv:2307.09288 10, 2023 | 154 | 2023 |
| The llama 3 herd of models A Grattafiori, A Dubey, A Jauhri, A Pandey, A Kadian, A Al-Dahle, ... arXiv e-prints, arXiv: 2407.21783, 2024 | 105 | 2024 |
| Generalization in NLI: Ways (not) to go beyond simple heuristics P Bhargava, A Drozd, A Rogers arXiv preprint arXiv:2110.01518, 2021 | 91 | 2021 |
| & Scialom, T.(2023). Llama 2: Open foundation and fine-tuned chat models H Touvron, L Martin, K Stone, P Albert, A Almahairi, Y Babaei, ... arXiv preprint arXiv:2307.09288, 2023 | 65 | 2023 |
| Llama 2: open foundation and fine-tuned chat models. CoRR abs/2307.09288 (2023) H Touvron, L Martin, K Stone, P Albert, A Almahairi, Y Babaei, ... arXiv preprint arXiv:2307.09288 10, 2023 | 63 | 2023 |
| Commonsense knowledge reasoning and generation with pre-trained language models: A survey P Bhargava, V Ng Proceedings of the AAAI conference on artificial intelligence 36 (11), 12317 …, 2022 | 57 | 2022 |
| Llama 2: Open foundation and fine-tuned chat models, 2023b H Touvron, L Martin, K Stone, P Albert, A Almahairi, Y Babaei, ... URL https://arxiv. org/abs/2307.09288, 2023 | 47 | 2023 |
| Llama 2: Open foundation and fine-tuned chat models. arXiv [Preprint](2023) H Touvron, L Martin, K Stone, P Albert, A Almahairi, Y Babaei, ... arXiv preprint arXiv:2307.09288, 0 | 18 | |
| On generalizing detection models for unconstrained environments P Bhargava Proceedings of the IEEE/CVF International conference on computer vision …, 2019 | 16 | 2019 |
| Sequence modeling is a robust contender for offline reinforcement learning P Bhargava, R Chitnis, A Geramifard, S Sodhani, A Zhang arXiv preprint arXiv:2305.14550 5, 2023 | 13 | 2023 |
| When should we prefer Decision Transformers for Offline Reinforcement Learning? P Bhargava, R Chitnis, A Geramifard, S Sodhani, A Zhang arXiv preprint arXiv:2305.14550, 2023 | 6 | 2023 |
| Adaptive Transformers for Learning Multimodal Representations P Bhargava Proceedings of the 58th Annual Meeting of the Association for Computational …, 2020 | 6 | 2020 |
| Incremental learning in person re-identification P Bhargava arXiv preprint arXiv:1808.06281, 2018 | 4 | 2018 |
| DiscoSense: Commonsense reasoning with discourse connectives P Bhargava, V Ng arXiv preprint arXiv:2210.12478, 2022 | 3 | 2022 |
| BTS: Harmonizing Specialized Experts into a Generalist LLM Q Zhang, P Bhargava, C Bi, CX Cai, J Foerster, J Fu, PS Koura, R Silva, ... arXiv preprint arXiv:2502.00075, 2025 | | 2025 |
| Design and Implementation of Synchronous Dual-Port Memory A Pandey, P Bhargava, S Madhavan 2024 Third International Conference on Distributed Computing and Electrical …, 2024 | | 2024 |
| AUTODIAL: Efficient Asynchronous Task-Oriented Dialogue Model P Bhargava, P Amini, S Shayandeh, C Sankar arXiv preprint arXiv:2303.06245, 2023 | | 2023 |
Shruti BhosaleFacebook AI ResearchOverená e-mailová adresa na: fb.com