Rishabh Joshi - RankMe

39 papers A* 9A 2B 1Journal 22Unranked 5

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Building Math Agents with Multi-Turn Iterative Preference Learning. ICLR 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
2025	A*	`conf`	Learning from negative feedback, or positive feedback or both. ICLR Abbas Abdolmaleki, Bilal Piot, Bobak Shahriari, Jost Tobias Springenberg, Tim Hertweck, Michael Bloesch, Rishabh Joshi, Thomas Lampe, Junhyuk Oh, Nicolas Heess, Jonas Buchli, Martin A. Riedmiller
2025	—	`conf`	LiPO: Listwise Preference Optimization through Learning-to-Rank. NAACL (Long Papers) 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
2025	A*	`conf`	RRM: Robust Reward Model Training Mitigates Reward Hacking. ICLR Tianqi Liu, Wei Xiong, Jie Ren, Lichang Chen, Junru Wu, Rishabh Joshi, Yang Gao, Jiaming Shen, Zhen Qin, Tianhe Yu, Daniel Sohn, Anastasia Makarova, Jeremiah Zhe Liu, Yuan Liu, Bilal Piot, Abe Ittycheriah, Aviral Kumar, Mohammad Saleh
2025	A*	`conf`	Reward-Guided Prompt Evolving in Reinforcement Learning for LLMs. ICML Ziyu Ye, Rishabh Agarwal, Tianqi Liu, Rishabh Joshi, Sarmishta Velury, Quoc V. Le, Qijun Tan, Yuan Liu
2024	J	`jnl`	Building Math Agents with Multi-Turn Iterative Preference Learning. CoRR 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
2024	J	`jnl`	Evolving Alignment via Asymmetric Self-Play. CoRR Ziyu Ye, Rishabh Agarwal, Tianqi Liu, Rishabh Joshi, Sarmishta Velury, Quoc V. Le, Qijun Tan, Yuan Liu
2024	A*	`conf`	Human Alignment of Large Language Models through Online Preference Optimisation. ICML 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
2024	J	`jnl`	Human Alignment of Large Language Models through Online Preference Optimisation. CoRR 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
2024	J	`jnl`	LiPO: Listwise Preference Optimization through Learning-to-Rank. CoRR 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
2024	J	`jnl`	Offline Regularised Reinforcement Learning for Large Language Models Alignment. CoRR 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
2024	J	`jnl`	Preference Optimization as Probabilistic Inference. CoRR 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
2024	J	`jnl`	RRM: Robust Reward Model Training Mitigates Reward Hacking. CoRR 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
2024	A*	`conf`	Statistical Rejection Sampling Improves Preference Optimization. ICLR Tianqi Liu, Yao Zhao, Rishabh Joshi, Misha Khalman, Mohammad Saleh, Peter J. Liu, Jialu Liu
2023	J	`jnl`	Calibrating Likelihoods towards Consistency in Summarization Models. CoRR Polina Zablotskaia, Misha Khalman, Rishabh Joshi, Livio Baldini Soares, Shoshana Jakobovits, Joshua Maynez, Shashi Narayan
2023	A*	`conf`	Calibrating Sequence likelihood Improves Conditional Language Generation. ICLR Yao Zhao, Misha Khalman, Rishabh Joshi, Shashi Narayan, Mohammad Saleh, Peter J. Liu
2023	J	`jnl`	SLiC-HF: Sequence Likelihood Calibration with Human Feedback. CoRR Yao Zhao, Rishabh Joshi, Tianqi Liu, Misha Khalman, Mohammad Saleh, Peter J. Liu
2023	J	`jnl`	Statistical Rejection Sampling Improves Preference Optimization. CoRR Tianqi Liu, Yao Zhao, Rishabh Joshi, Misha Khalman, Mohammad Saleh, Peter J. Liu, Jialu Liu
2023	—	`conf`	Unsupervised Keyphrase Extraction via Interpretable Neural Networks. EACL (Findings) Rishabh Joshi, Vidhisha Balachandran, Emily Saldanha, Maria Glenski, Svitlana Volkova, Yulia Tsvetkov
2022	J	`jnl`	Calibrating Sequence likelihood Improves Conditional Language Generation. CoRR Yao Zhao, Misha Khalman, Rishabh Joshi, Shashi Narayan, Mohammad Saleh, Peter J. Liu
2022	J	`jnl`	Unsupervised Keyphrase Extraction via Interpretable Neural Networks. CoRR Rishabh Joshi, Vidhisha Balachandran, Emily Saldanha, Maria Glenski, Svitlana Volkova, Yulia Tsvetkov
2021	A*	`conf`	DialoGraph: Incorporating Interpretable Strategy-Graph Networks into Negotiation Dialogues. ICLR Rishabh Joshi, Vidhisha Balachandran, Shikhar Vashishth, Alan W. Black, Yulia Tsvetkov
2021	J	`jnl`	DialoGraph: Incorporating Interpretable Strategy-Graph Networks into Negotiation Dialogues. CoRR Rishabh Joshi, Vidhisha Balachandran, Shikhar Vashishth, Alan W. Black, Yulia Tsvetkov
2021	J	`jnl`	Improving broad-coverage medical entity linking with semantic type prediction and large-scale datasets. J. Biomed. Informatics Shikhar Vashishth, Denis Newman-Griffis, Rishabh Joshi, Ritam Dutt, Carolyn P. Rosé
2021	J	`jnl`	RESPER: Computationally Modelling Resisting Strategies in Persuasive Conversations. CoRR Ritam Dutt, Sayan Sinha, Rishabh Joshi, Surya Shekhar Chakraborty, Meredith Riggs, Xinru Yan, Haogang Bao, Carolyn Penstein Rosé
2021	A	`conf`	ResPer: Computationally Modelling Resisting Strategies in Persuasive Conversations. EACL Ritam Dutt, Sayan Sinha, Rishabh Joshi, Surya Shekhar Chakraborty, Meredith Riggs, Xinru Yan, Haogang Bao, Carolyn P. Rosé
2020	B	`conf`	AMUSED: A Multi-Stream Vector Representation Method for Use in Natural Dialogue. LREC Gaurav Kumar, Rishabh Joshi, Jaspreet Singh, Promod Yenigalla
2020	A	`conf`	Analysing the Extent of Misinformation in Cancer Related Tweets. ICWSM Rakesh Bal, Sayan Sinha, Swastika Dutta, Rishabh Joshi, Sayan Ghosh, Ritam Dutt
2020	J	`jnl`	Analysing the Extent of Misinformation in Cancer Related Tweets. CoRR Rakesh Bal, Sayan Sinha, Swastika Dutta, Rishabh Joshi, Sayan Ghosh, Ritam Dutt
2020	—	`conf`	Keeping Up Appearances: Computational Modeling of Face Acts in Persuasion Oriented Discussions. EMNLP (1) Ritam Dutt, Rishabh Joshi, Carolyn P. Rosé
2020	J	`jnl`	Keeping Up Appearances: Computational Modeling of Face Acts in Persuasion Oriented Discussions. CoRR Ritam Dutt, Rishabh Joshi, Carolyn Penstein Rosé
2020	—	`conf`	LTIatCMU at SemEval-2020 Task 11: Incorporating Multi-Level Features for Multi-Granular Propaganda Span Identification. SemEval@COLING Sopan Khosla, Rishabh Joshi, Ritam Dutt, Alan W. Black, Yulia Tsvetkov
2020	J	`jnl`	LTIatCMU at SemEval-2020 Task 11: Incorporating Multi-Level Features for Multi-Granular Propaganda Span Identification. CoRR Sopan Khosla, Rishabh Joshi, Ritam Dutt, Alan W. Black, Yulia Tsvetkov
2020	J	`jnl`	MedType: Improving Medical Entity Linking with Semantic Type Prediction. CoRR Shikhar Vashishth, Rishabh Joshi, Ritam Dutt, Denis Newman-Griffis, Carolyn P. Rosé
2019	—	`conf`	A Team Based Player Versus Player Recommender Systems Framework For Player Improvement. ACSW Rishabh Joshi, Varun Gupta, Xinyue Li, Yue Cui, Ziwen Wang, Yaser Norouzzadeh Ravari, Diego Klabjan, Rafet Sifa, Azita Parsaeian, Anders Drachen, Simon Demediuk
2019	J	`jnl`	AMUSED: A Multi-Stream Vector Representation Method for Use in Natural Dialogue. CoRR Gaurav Kumar, Rishabh Joshi, Jaspreet Singh, Promod Yenigalla
2018	A*	`conf`	RESIDE: Improving Distantly-Supervised Neural Relation Extraction using Side Information. EMNLP Shikhar Vashishth, Rishabh Joshi, Sai Suman Prayaga, Chiranjib Bhattacharyya, Partha P. Talukdar
2018	J	`jnl`	RESIDE: Improving Distantly-Supervised Neural Relation Extraction using Side Information. CoRR Shikhar Vashishth, Rishabh Joshi, Sai Suman Prayaga, Chiranjib Bhattacharyya, Partha P. Talukdar
2018	J	`jnl`	Removal of Parameter Adjustment of Frangi Filters in Case of Coronary Angiograms. CoRR Dhruv Gosain, Rishabh Joshi