| 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 | 2794 | 2024 |
| 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 | 91 | 2024 |
| Audiobox: Unified audio generation with natural language prompts A Vyas, B Shi, M Le, A Tjandra, YC Wu, B Guo, J Zhang, X Zhang, ... arXiv preprint arXiv:2312.15821, 2023 | 91 | 2023 |
| Unirex: A unified learning framework for language model rationale extraction A Chan, M Sanjabi, L Mathias, L Tan, S Nie, X Peng, X Ren, H Firooz International Conference on Machine Learning, 2867-2889, 2022 | 46 | 2022 |
| Molecular theory and the effects of solute attractive forces on hydrophobic interactions MI Chaudhari, SB Rempe, D Asthagiri, L Tan, LR Pratt The Journal of Physical Chemistry B 120 (8), 1864-1870, 2016 | 29 | 2016 |
| Defending against patch-based backdoor attacks on self-supervised learning A Tejankar, M Sanjabi, Q Wang, S Wang, H Firooz, H Pirsiavash, L Tan Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2023 | 17 | 2023 |
| Role of solute attractive forces in the atomic-scale theory of hydrophobic effects A Gao, L Tan, MI Chaudhari, D Asthagiri, LR Pratt, SB Rempe, JD Weeks The Journal of Physical Chemistry B 122 (23), 6272-6276, 2018 | 14 | 2018 |
| Frame: Evaluating simulatability metrics for free-text rationales A Chan, S Nie, L Tan, X Peng, H Firooz, M Sanjabi, X Ren arXiv preprint arXiv:2207.00779, 2022 | 12 | 2022 |
| Msd: Saliency-aware knowledge distillation for multimodal understanding W Jin, M Sanjabi, S Nie, L Tan, X Ren, H Firooz arXiv preprint arXiv:2101.01881, 2021 | 11* | 2021 |
| Frame: Evaluating rationale-label consistency metrics for free-text rationales A Chan, S Nie, L Tan, X Peng, H Firooz, M Sanjabi, X Ren arXiv preprint arXiv:2207.00779, 2022 | 8 | 2022 |
| Self-generated critiques boost reward modeling for language models Y Yu, Z Chen, A Zhang, L Tan, C Zhu, RY Pang, Y Qian, X Wang, ... arXiv preprint arXiv:2411.16646, 2024 | 7 | 2024 |
| Molecular-Scale Description of SPAN80 Desorption from a Squalane–Water Interface L Tan, LR Pratt, MI Chaudhari The Journal of Physical Chemistry B 122 (13), 3378-3383, 2017 | 7 | 2017 |
| Law of the weakest link: Cross capabilities of large language models M Zhong, A Zhang, X Wang, R Hou, W Xiong, C Zhu, Z Chen, L Tan, C Bi, ... arXiv preprint arXiv:2409.19951, 2024 | 4 | 2024 |
| Learning Easily Updated General Purpose Text Representations with Adaptable Task-Specific Prefixes KH Huang, L Tan, R Hou, S Wang, A Almahairi, R Rinott arXiv preprint arXiv:2305.13499, 2023 | 1 | 2023 |
| A Systematic Examination of Preference Learning through the Lens of Instruction-Following J Kim, A Goyal, A Zhang, B Xiong, R Hou, M Kambadur, D Mahajan, ... arXiv preprint arXiv:2412.15282, 2024 | | 2024 |
| Molecular Theory and Simulation of Water-Oil Contacts L Tan Tulane University, 2017 | | 2017 |
| Molecular Theory and the Effects of Solute Attractive Forces on Hydrophobic Interactions D Asthagiri, L Tan, LR Pratt | | 2016 |
| Hydration of classic hydrophobic solutes Ar and Kr. MI Chaudhari, S Rempe, L Pratt, D Asthagiri, L Tan, D Sabo Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2015 | | 2015 |
Hamed FiroozMeta AI, LinkedIn Core AIPotvrđena adresa e-pošte na uw.edu