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ORCIDRishabh Joshi
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2020 – today
- 2024
[c12]Tianqi Liu, Yao Zhao, Rishabh Joshi, Misha Khalman, Mohammad Saleh, Peter J. Liu, Jialu Liu:
Statistical Rejection Sampling Improves Preference Optimization. ICLR 2024- [c11]Daniele Calandriello, Zhaohan Daniel Guo, Rémi Munos, Mark Rowland, Yunhao Tang, Bernardo Ávila Pires, Pierre Harvey Richemond, Charline Le Lan, Michal Valko, Tianqi Liu, Rishabh Joshi, Zeyu Zheng, Bilal Piot:
Human Alignment of Large Language Models through Online Preference Optimisation. ICML 2024 - [i19]Tianqi Liu, Zhen Qin, Junru Wu, Jiaming Shen, Misha Khalman, Rishabh Joshi, Yao Zhao, Mohammad Saleh, Simon Baumgartner, Jialu Liu, Peter J. Liu, Xuanhui Wang:
LiPO: Listwise Preference Optimization through Learning-to-Rank. CoRR abs/2402.01878 (2024) - [i18]Daniele Calandriello, Daniel Guo, Rémi Munos, Mark Rowland, Yunhao Tang, Bernardo Ávila Pires, Pierre Harvey Richemond, Charline Le Lan, Michal Valko, Tianqi Liu, Rishabh Joshi, Zeyu Zheng, Bilal Piot:
Human Alignment of Large Language Models through Online Preference Optimisation. CoRR abs/2403.08635 (2024) - [i17]Pierre Harvey Richemond, Yunhao Tang, Daniel Guo, Daniele Calandriello, Mohammad Gheshlaghi Azar, Rafael Rafailov, Bernardo Ávila Pires, Eugene Tarassov, Lucas Spangher, Will Ellsworth, Aliaksei Severyn, Jonathan Mallinson, Lior Shani, Gil Shamir, Rishabh Joshi, Tianqi Liu, Rémi Munos, Bilal Piot:
Offline Regularised Reinforcement Learning for Large Language Models Alignment. CoRR abs/2405.19107 (2024) - [i16]Wei Xiong, Chengshuai Shi, Jiaming Shen, Aviv Rosenberg, Zhen Qin, Daniele Calandriello, Misha Khalman, Rishabh Joshi, Bilal Piot, Mohammad Saleh, Chi Jin, Tong Zhang, Tianqi Liu:
Building Math Agents with Multi-Turn Iterative Preference Learning. CoRR abs/2409.02392 (2024) - [i15]Tianqi Liu, Wei Xiong, Jie Ren, Lichang Chen, Junru Wu, Rishabh Joshi, Yang Gao, Jiaming Shen, Zhen Qin, Tianhe Yu, Daniel Sohn, Anastasiia Makarova, Jeremiah Z. Liu, Yuan Liu, Bilal Piot, Abe Ittycheriah, Aviral Kumar, Mohammad Saleh:
RRM: Robust Reward Model Training Mitigates Reward Hacking. CoRR abs/2409.13156 (2024) - 2023
- [c10]Rishabh Joshi, Vidhisha Balachandran, Emily Saldanha
, Maria Glenski, Svitlana Volkova, Yulia Tsvetkov:
Unsupervised Keyphrase Extraction via Interpretable Neural Networks. EACL (Findings) 2023: 1077-1089 - [c9]Yao Zhao, Misha Khalman, Rishabh Joshi, Shashi Narayan, Mohammad Saleh, Peter J. Liu:
Calibrating Sequence likelihood Improves Conditional Language Generation. ICLR 2023 - [i14]Yao Zhao, Rishabh Joshi, Tianqi Liu, Misha Khalman, Mohammad Saleh, Peter J. Liu:
SLiC-HF: Sequence Likelihood Calibration with Human Feedback. CoRR abs/2305.10425 (2023) - [i13]Tianqi Liu, Yao Zhao, Rishabh Joshi, Misha Khalman, Mohammad Saleh, Peter J. Liu, Jialu Liu:
Statistical Rejection Sampling Improves Preference Optimization. CoRR abs/2309.06657 (2023) - [i12]Polina Zablotskaia, Misha Khalman, Rishabh Joshi, Livio Baldini Soares, Shoshana Jakobovits, Joshua Maynez, Shashi Narayan:
Calibrating Likelihoods towards Consistency in Summarization Models. CoRR abs/2310.08764 (2023) - 2022
- [i11]Rishabh Joshi, Vidhisha Balachandran, Emily Saldanha, Maria Glenski, Svitlana Volkova, Yulia Tsvetkov:
Unsupervised Keyphrase Extraction via Interpretable Neural Networks. CoRR abs/2203.07640 (2022) - [i10]Yao Zhao, Misha Khalman, Rishabh Joshi, Shashi Narayan, Mohammad Saleh, Peter J. Liu:
Calibrating Sequence likelihood Improves Conditional Language Generation. CoRR abs/2210.00045 (2022) - 2021
- [j1]Shikhar Vashishth, Denis Newman-Griffis, Rishabh Joshi, Ritam Dutt, Carolyn P. Rosé:
Improving broad-coverage medical entity linking with semantic type prediction and large-scale datasets. J. Biomed. Informatics 121: 103880 (2021) - [c8]Ritam Dutt, Sayan Sinha, Rishabh Joshi, Surya Shekhar Chakraborty, Meredith Riggs, Xinru Yan, Haogang Bao, Carolyn P. Rosé:
ResPer: Computationally Modelling Resisting Strategies in Persuasive Conversations. EACL 2021: 78-90 - [c7]Rishabh Joshi, Vidhisha Balachandran, Shikhar Vashishth, Alan W. Black, Yulia Tsvetkov:
DialoGraph: Incorporating Interpretable Strategy-Graph Networks into Negotiation Dialogues. ICLR 2021 - [i9]Ritam Dutt, Sayan Sinha, Rishabh Joshi, Surya Shekhar Chakraborty, Meredith Riggs, Xinru Yan, Haogang Bao, Carolyn Penstein Rosé:
RESPER: Computationally Modelling Resisting Strategies in Persuasive Conversations. CoRR abs/2101.10545 (2021) - [i8]Rishabh Joshi, Vidhisha Balachandran, Shikhar Vashishth, Alan W. Black, Yulia Tsvetkov:
DialoGraph: Incorporating Interpretable Strategy-Graph Networks into Negotiation Dialogues. CoRR abs/2106.00920 (2021) - 2020
- [c6]Ritam Dutt, Rishabh Joshi, Carolyn P. Rosé:
Keeping Up Appearances: Computational Modeling of Face Acts in Persuasion Oriented Discussions. EMNLP (1) 2020: 7473-7485 - [c5]Rakesh Bal, Sayan Sinha, Swastika Dutta, Rishabh Joshi, Sayan Ghosh, Ritam Dutt:
Analysing the Extent of Misinformation in Cancer Related Tweets. ICWSM 2020: 924-928 - [c4]Gaurav Kumar, Rishabh Joshi, Jaspreet Singh, Promod Yenigalla:
AMUSED: A Multi-Stream Vector Representation Method for Use in Natural Dialogue. LREC 2020: 750-758 - [c3]Sopan Khosla, Rishabh Joshi, Ritam Dutt, Alan W. Black, Yulia Tsvetkov:
LTIatCMU at SemEval-2020 Task 11: Incorporating Multi-Level Features for Multi-Granular Propaganda Span Identification. SemEval@COLING 2020: 1756-1763 - [i7]Rakesh Bal, Sayan Sinha, Swastika Dutta, Rishabh Joshi, Sayan Ghosh, Ritam Dutt:
Analysing the Extent of Misinformation in Cancer Related Tweets. CoRR abs/2003.13657 (2020) - [i6]Shikhar Vashishth, Rishabh Joshi, Ritam Dutt, Denis Newman-Griffis, Carolyn P. Rosé:
MedType: Improving Medical Entity Linking with Semantic Type Prediction. CoRR abs/2005.00460 (2020) - [i5]Sopan Khosla, Rishabh Joshi, Ritam Dutt, Alan W. Black, Yulia Tsvetkov:
LTIatCMU at SemEval-2020 Task 11: Incorporating Multi-Level Features for Multi-Granular Propaganda Span Identification. CoRR abs/2008.04820 (2020) - [i4]Ritam Dutt, Rishabh Joshi, Carolyn Penstein Rosé:
Keeping Up Appearances: Computational Modeling of Face Acts in Persuasion Oriented Discussions. CoRR abs/2009.10815 (2020)
2010 – 2019
- 2019
- [c2]Rishabh Joshi, Varun Gupta, Xinyue Li, Yue Cui, Ziwen Wang, Yaser Norouzzadeh Ravari, Diego Klabjan, Rafet Sifa, Azita Parsaeian, Anders Drachen, Simon Demediuk:
A Team Based Player Versus Player Recommender Systems Framework For Player Improvement. ACSW 2019: 45:1-45:7 - [i3]Gaurav Kumar, Rishabh Joshi, Jaspreet Singh, Promod Yenigalla:
AMUSED: A Multi-Stream Vector Representation Method for Use in Natural Dialogue. CoRR abs/1912.10160 (2019) - 2018
- [c1]Shikhar Vashishth, Rishabh Joshi, Sai Suman Prayaga, Chiranjib Bhattacharyya, Partha P. Talukdar:
RESIDE: Improving Distantly-Supervised Neural Relation Extraction using Side Information. EMNLP 2018: 1257-1266 - [i2]Dhruv Gosain, Rishabh Joshi:
Removal of Parameter Adjustment of Frangi Filters in Case of Coronary Angiograms. CoRR abs/1812.03186 (2018) - [i1]Shikhar Vashishth, Rishabh Joshi, Sai Suman Prayaga, Chiranjib Bhattacharyya, Partha P. Talukdar:
RESIDE: Improving Distantly-Supervised Neural Relation Extraction using Side Information. CoRR abs/1812.04361 (2018)
Coauthor Index
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