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Rishabh Joshi
ORCID
Publication Activity (10 Years)
Years Active: 2018-2024
Publications (10 Years): 29
Top Topics
Entity Linking
Top Venues
CoRR
ICLR
EACL
EMNLP
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Publications
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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)