Rishabh Joshi

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 29

Top Topics

Top Venues

Publications

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 (2024)
Tianqi Liu, Yao Zhao, Rishabh Joshi, Misha Khalman, Mohammad Saleh, Peter J. Liu, Jialu Liu
Statistical Rejection Sampling Improves Preference Optimization. ICLR (2024)
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 (2024)
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 (2024)
Yao Zhao, Misha Khalman, Rishabh Joshi, Shashi Narayan, Mohammad Saleh, Peter J. Liu
Calibrating Sequence likelihood Improves Conditional Language Generation. ICLR (2023)
Yao Zhao, Rishabh Joshi, Tianqi Liu, Misha Khalman, Mohammad Saleh, Peter J. Liu
SLiC-HF: Sequence Likelihood Calibration with Human Feedback. CoRR (2023)
Polina Zablotskaia, Misha Khalman, Rishabh Joshi, Livio Baldini Soares, Shoshana Jakobovits, Joshua Maynez, Shashi Narayan
Calibrating Likelihoods towards Consistency in Summarization Models. CoRR (2023)
Rishabh Joshi, Vidhisha Balachandran, Emily Saldanha, Maria Glenski, Svitlana Volkova, Yulia Tsvetkov
Unsupervised Keyphrase Extraction via Interpretable Neural Networks. EACL (Findings) (2023)
Tianqi Liu, Yao Zhao, Rishabh Joshi, Misha Khalman, Mohammad Saleh, Peter J. Liu, Jialu Liu
Statistical Rejection Sampling Improves Preference Optimization. CoRR (2023)
Yao Zhao, Misha Khalman, Rishabh Joshi, Shashi Narayan, Mohammad Saleh, Peter J. Liu
Calibrating Sequence likelihood Improves Conditional Language Generation. CoRR (2022)
Rishabh Joshi, Vidhisha Balachandran, Emily Saldanha, Maria Glenski, Svitlana Volkova, Yulia Tsvetkov
Unsupervised Keyphrase Extraction via Interpretable Neural Networks. CoRR (2022)
Rishabh Joshi, Vidhisha Balachandran, Shikhar Vashishth, Alan W. Black, Yulia Tsvetkov
DialoGraph: Incorporating Interpretable Strategy-Graph Networks into Negotiation Dialogues. ICLR (2021)
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 (2021)
Rishabh Joshi, Vidhisha Balachandran, Shikhar Vashishth, Alan W. Black, Yulia Tsvetkov
DialoGraph: Incorporating Interpretable Strategy-Graph Networks into Negotiation Dialogues. CoRR (2021)
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. EACL (2021)
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 (2021)
Rakesh Bal, Sayan Sinha, Swastika Dutta, Rishabh Joshi, Sayan Ghosh, Ritam Dutt
Analysing the Extent of Misinformation in Cancer Related Tweets. CoRR (2020)
Gaurav Kumar, Rishabh Joshi, Jaspreet Singh, Promod Yenigalla
AMUSED: A Multi-Stream Vector Representation Method for Use in Natural Dialogue. LREC (2020)
Rakesh Bal, Sayan Sinha, Swastika Dutta, Rishabh Joshi, Sayan Ghosh, Ritam Dutt
Analysing the Extent of Misinformation in Cancer Related Tweets. ICWSM (2020)
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)
Ritam Dutt, Rishabh Joshi, Carolyn Penstein Rosé
Keeping Up Appearances: Computational Modeling of Face Acts in Persuasion Oriented Discussions. EMNLP (1) (2020)
Shikhar Vashishth, Rishabh Joshi, Ritam Dutt, Denis Newman-Griffis, Carolyn Penstein Rosé
MedType: Improving Medical Entity Linking with Semantic Type Prediction. CoRR (2020)
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 (2020)
Ritam Dutt, Rishabh Joshi, Carolyn Penstein Rosé
Keeping Up Appearances: Computational Modeling of Face Acts in Persuasion Oriented Discussions. CoRR (2020)
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)
Gaurav Kumar, Rishabh Joshi, Jaspreet Singh, Promod Yenigalla
AMUSED: A Multi-Stream Vector Representation Method for Use in Natural Dialogue. CoRR (2019)
Shikhar Vashishth, Rishabh Joshi, Sai Suman Prayaga, Chiranjib Bhattacharyya, Partha P. Talukdar
RESIDE: Improving Distantly-Supervised Neural Relation Extraction using Side Information. CoRR (2018)
Dhruv Gosain, Rishabh Joshi
Removal of Parameter Adjustment of Frangi Filters in Case of Coronary Angiograms. CoRR (2018)
Shikhar Vashishth, Rishabh Joshi, Sai Suman Prayaga, Chiranjib Bhattacharyya, Partha P. Talukdar
RESIDE: Improving Distantly-Supervised Neural Relation Extraction using Side Information. EMNLP (2018)