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Rishabh Joshi
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Journal Articles
- 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)
Conference and Workshop Papers
- 2024
- [c11]Tianqi Liu, Yao Zhao, Rishabh Joshi, Misha Khalman, Mohammad Saleh, Peter J. Liu, Jialu Liu:
Statistical Rejection Sampling Improves Preference Optimization. ICLR 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 - 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 - 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 - 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 - 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
Informal and Other Publications
- 2024
- [i17]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) - [i16]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) - [i15]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) - 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
- [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
- [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) - 2019
- [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
- [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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