Rishabh Joshi
Rishabh Joshi
Google Research, Brain Team
Verified email at - Homepage
Cited by
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Gemini: a family of highly capable multimodal models
G Team, R Anil, S Borgeaud, Y Wu, JB Alayrac, J Yu, R Soricut, ...
arXiv preprint arXiv:2312.11805, 2023
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
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
Calibrating sequence likelihood improves conditional language generation
Y Zhao, M Khalman, R Joshi, S Narayan, M Saleh, PJ Liu
The Eleventh International Conference on Learning Representations, 2022
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
Improving broad-coverage medical entity linking with semantic type prediction and large-scale datasets
S Vashishth, D Newman-Griffis, R Joshi, R Dutt, CP Rosť
Journal of biomedical informatics 121, 103880, 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
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
Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context
M Reid, N Savinov, D Teplyashin, D Lepikhin, T Lillicrap, J Alayrac, ...
arXiv preprint arXiv:2403.05530, 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
Keeping up appearances: Computational modeling of face acts in persuasion oriented discussions
R Dutt, R Joshi, CP Rosť
arXiv preprint arXiv:2009.10815, 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
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
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
Med-type: improving medical entity linking with semantic type prediction. arxiv e-prints, page
S Vashishth, R Joshi, D Newman-Griffis, R Dutt, C Rose
arXiv preprint arXiv:2005.00460, 2020
A team based player versus player recommender systems framework for player improvement
R Joshi, V Gupta, X Li, Y Cui, Z Wang, YN Ravari, D Klabjan, R Sifa, ...
Proceedings of the Australasian Computer Science Week Multiconference, 1-7, 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
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
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
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
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