Rishabh Joshi

According to our database, Rishabh Joshi authored at least 24 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Evolving Alignment via Asymmetric Self-Play.

Ziyu Ye, Rishabh Agarwal, Tianqi Liu, Rishabh Joshi, Sarmishta Velury, Quoc V. Le, Qijun Tan, Yuan Liu

CoRR, 2024

Preference Optimization as Probabilistic Inference.

Abbas Abdolmaleki, Bilal Piot, Bobak Shahriari, Jost Tobias Springenberg, Tim Hertweck, Rishabh Joshi, Junhyuk Oh, Michael Bloesch, Thomas Lampe, Nicolas Heess, Jonas Buchli, Martin A. Riedmiller

CoRR, 2024

RRM: Robust Reward Model Training Mitigates Reward Hacking.

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

CoRR, 2024

Building Math Agents with Multi-Turn Iterative Preference Learning.

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

CoRR, 2024

Offline Regularised Reinforcement Learning for Large Language Models Alignment.

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

CoRR, 2024

Human Alignment of Large Language Models through Online Preference Optimisation.

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

CoRR, 2024

LiPO: Listwise Preference Optimization through Learning-to-Rank.

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

CoRR, 2024

Human Alignment of Large Language Models through Online Preference Optimisation.

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

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Statistical Rejection Sampling Improves Preference Optimization.

Tianqi Liu, Yao Zhao, Rishabh Joshi, Misha Khalman, Mohammad Saleh, Peter J. Liu, Jialu Liu

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Calibrating Likelihoods towards Consistency in Summarization Models.

Polina Zablotskaia, Misha Khalman, Rishabh Joshi, Livio Baldini Soares, Shoshana Jakobovits, Joshua Maynez, Shashi Narayan

CoRR, 2023

SLiC-HF: Sequence Likelihood Calibration with Human Feedback.

Yao Zhao, Rishabh Joshi, Tianqi Liu, Misha Khalman, Mohammad Saleh, Peter J. Liu

CoRR, 2023

Calibrating Sequence likelihood Improves Conditional Language Generation.

Yao Zhao, Misha Khalman, Rishabh Joshi, Shashi Narayan, Mohammad Saleh, Peter J. Liu

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Unsupervised Keyphrase Extraction via Interpretable Neural Networks.

Rishabh Joshi, Vidhisha Balachandran, Emily Saldanha, Maria Glenski, Svitlana Volkova, Yulia Tsvetkov

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2023, 2023

2021

Improving broad-coverage medical entity linking with semantic type prediction and large-scale datasets.

Shikhar Vashishth, Denis Newman-Griffis, Rishabh Joshi, Ritam Dutt, Carolyn P. Rosé

J. Biomed. Informatics, 2021

DialoGraph: Incorporating Interpretable Strategy-Graph Networks into Negotiation Dialogues.

Rishabh Joshi, Vidhisha Balachandran, Shikhar Vashishth, Alan W. Black, Yulia Tsvetkov

Proceedings of the 9th International Conference on Learning Representations, 2021

ResPer: Computationally Modelling Resisting Strategies in Persuasive Conversations.

Ritam Dutt, Sayan Sinha, Rishabh Joshi, Surya Shekhar Chakraborty, Meredith Riggs, Xinru Yan, Haogang Bao, Carolyn P. Rosé

Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

2020

MedType: Improving Medical Entity Linking with Semantic Type Prediction.

Shikhar Vashishth, Rishabh Joshi, Ritam Dutt, Denis Newman-Griffis, Carolyn P. Rosé

CoRR, 2020

LTIatCMU at SemEval-2020 Task 11: Incorporating Multi-Level Features for Multi-Granular Propaganda Span Identification.

Sopan Khosla, Rishabh Joshi, Ritam Dutt, Alan W. Black, Yulia Tsvetkov

Proceedings of the Fourteenth Workshop on Semantic Evaluation, 2020

AMUSED: A Multi-Stream Vector Representation Method for Use in Natural Dialogue.

Gaurav Kumar, Rishabh Joshi, Jaspreet Singh, Promod Yenigalla

Proceedings of The 12th Language Resources and Evaluation Conference, 2020

Analysing the Extent of Misinformation in Cancer Related Tweets.

Rakesh Bal, Sayan Sinha, Swastika Dutta, Rishabh Joshi, Sayan Ghosh, Ritam Dutt

Proceedings of the Fourteenth International AAAI Conference on Web and Social Media, 2020

Keeping Up Appearances: Computational Modeling of Face Acts in Persuasion Oriented Discussions.

Ritam Dutt, Rishabh Joshi, Carolyn P. Rosé

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

2019

A Team Based Player Versus Player Recommender Systems Framework For Player Improvement.

Rishabh Joshi, Varun Gupta, Xinyue Li, Yue Cui, Ziwen Wang, Yaser Norouzzadeh Ravari, Diego Klabjan, Rafet Sifa, Azita Parsaeian, Anders Drachen, Simon Demediuk

Proceedings of the Australasian Computer Science Week Multiconference, 2019

2018

Removal of Parameter Adjustment of Frangi Filters in Case of Coronary Angiograms.

Dhruv Gosain, Rishabh Joshi

CoRR, 2018

RESIDE: Improving Distantly-Supervised Neural Relation Extraction using Side Information.

Shikhar Vashishth, Rishabh Joshi, Sai Suman Prayaga, Chiranjib Bhattacharyya, Partha P. Talukdar

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018