| Gemini: a family of highly capable multimodal models G Team, R Anil, S Borgeaud, JB Alayrac, J Yu, R Soricut, J Schalkwyk, ... arXiv preprint arXiv:2312.11805, 2023 | 3417 | 2023 |
| Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context G Team, P Georgiev, VI Lei, R Burnell, L Bai, A Gulati, G Tanzer, ... arXiv preprint arXiv:2403.05530, 2024 | 1305 | 2024 |
| Reside: Improving distantly-supervised neural relation extraction using side information S Vashishth, R Joshi, SS Prayaga, C Bhattacharyya, P Talukdar arXiv preprint arXiv:1812.04361, 2018 | 302 | 2018 |
| Slic-hf: Sequence likelihood calibration with human feedback Y Zhao, R Joshi, T Liu, M Khalman, M Saleh, PJ Liu arXiv preprint arXiv:2305.10425, 2023 | 253 | 2023 |
| Statistical rejection sampling improves preference optimization T Liu, Y Zhao, R Joshi, M Khalman, M Saleh, PJ Liu, J Liu arXiv preprint arXiv:2309.06657, 2023 | 176 | 2023 |
| Calibrating sequence likelihood improves conditional language generation Y Zhao, M Khalman, R Joshi, S Narayan, M Saleh, PJ Liu arXiv preprint arXiv:2210.00045, 2022 | 129 | 2022 |
| Improving broad-coverage medical entity linking with semantic type prediction and large-scale datasets S Vashishth, D Newman-Griffis, R Joshi, R Dutt, CP Rosé Journal of biomedical informatics 121, 103880, 2021 | 56 | 2021 |
| DialoGraph: Incorporating Interpretable Strategy-Graph Networks into Negotiation Dialogues R Joshi, V Balachandran, S Vashishth, AW Black, Y Tsvetkov Proceedings of International Conference on Learning Representations 2021 (ICLR), 2021 | 38 | 2021 |
| Analysing the extent of misinformation in cancer related tweets R Bal, S Sinha, S Dutta, R Joshi, S Ghosh, R Dutt Proceedings of the International AAAI Conference on Web and Social Media 14 …, 2020 | 38 | 2020 |
| Human alignment of large language models through online preference optimisation D Calandriello, D Guo, R Munos, M Rowland, Y Tang, BA Pires, ... arXiv preprint arXiv:2403.08635, 2024 | 34 | 2024 |
| Lipo: Listwise preference optimization through learning-to-rank T Liu, Z Qin, J Wu, J Shen, M Khalman, R Joshi, Y Zhao, M Saleh, ... arXiv preprint arXiv:2402.01878, 2024 | 32 | 2024 |
| Resper: Computationally modelling resisting strategies in persuasive conversations R Dutt, S Sinha, R Joshi, SS Chakraborty, M Riggs, X Yan, H Bao, ... arXiv preprint arXiv:2101.10545, 2021 | 21 | 2021 |
| Building math agents with multi-turn iterative preference learning W Xiong, C Shi, J Shen, A Rosenberg, Z Qin, D Calandriello, M Khalman, ... arXiv preprint arXiv:2409.02392, 2024 | 15 | 2024 |
| Keeping up appearances: Computational modeling of face acts in persuasion oriented discussions R Dutt, R Joshi, CP Rosé arXiv preprint arXiv:2009.10815, 2020 | 15 | 2020 |
| Offline regularised reinforcement learning for large language models alignment PH Richemond, Y Tang, D Guo, D Calandriello, MG Azar, R Rafailov, ... arXiv preprint arXiv:2405.19107, 2024 | 12 | 2024 |
| LTIatCMU at SemEval-2020 Task 11: Incorporating multi-level features for multi-granular propaganda span identification S Khosla, R Joshi, R Dutt, AW Black, Y Tsvetkov arXiv preprint arXiv:2008.04820, 2020 | 10 | 2020 |
| Tartan: A two-tiered dialog framework for multi-domain social chitchat F Chen, TC Chi, S Lyu, J Gong, T Parekh, R Joshi, A Kaushik, A Rudnicky Alexa prize proceedings, 2020 | 7 | 2020 |
| AMUSED: A multi-stream vector representation method for use in natural dialogue G Kumar, R Joshi, J Singh, P Yenigalla arXiv preprint arXiv:1912.10160, 2019 | 7 | 2019 |
| RESIDE: Improving distantly-supervised neural relation extraction using side information. arXiv 2018 S Vashishth, R Joshi, SS Prayaga, C Bhattacharyya, P Talukdar arXiv preprint arXiv:1812.04361, 0 | 7 | |
| Unsupervised keyphrase extraction via interpretable neural networks R Joshi, V Balachandran, E Saldanha, M Glenski, S Volkova, Y Tsvetkov arXiv preprint arXiv:2203.07640, 2022 | 6 | 2022 |
Tianqi LiuGoogle DeepMindZweryfikowany adres z google.com