TOP-10 Papers Recommended in 2024-01
| Papers | Authors | Published in | Date | |
|---|---|---|---|---|
| Safe RLHF: Safe Reinforcement Learning from Human Feedback | Josef Dai, Xuehai Pan, Ruiyang Sun, Jiaming Ji, Xinbo Xu, Mickel Liu, Yizhou Wang, Yaodong Yang | International Conference on Learning Representations | 2023-10 | |
| SALMON: Self-Alignment with Principle-Following Reward Models | Zhiqing Sun, Yikang Shen, Hongxin Zhang, Qinhong Zhou, Zhenfang Chen, David Cox, Yiming Yang, Chuang Gan | International Conference on Learning Representations | 2023-10 | |
| Understanding the Effects of RLHF on LLM Generalisation and Diversity | Robert Kirk, Ishita Mediratta, Christoforos Nalmpantis, Jelena Luketina, Eric Hambro, Edward Grefenstette, Roberta Raileanu | International Conference on Learning Representations | 2023-10 | |
| Calibrating Sequence likelihood Improves Conditional Language Generation | Yao Zhao, Misha Khalman, Rishabh Joshi, Shashi Narayan, Mohammad Saleh, Peter J. Liu | International Conference on Learning Representations | 2023-10 | |
| Statistical Rejection Sampling Improves Preference Optimization | Tianqi Liu, Yao Zhao, Rishabh Joshi, Misha Khalman, Mohammad Saleh, Peter J. Liu, Jialu Liu | International Conference on Learning Representations | 2023-09 | |
| RL with KL penalties is better viewed as Bayesian inference | Tomasz Korbak, Ethan Perez, Christopher L Buckley | Annual Meeting of the Association for Computational Linguistics | 2022-05 | |
| Residual Energy-Based Models for Text | Anton Bakhtin, Yuntian Deng, Sam Gross, Myle Ott, Marc’Aurelio Ranzato, Arthur Szlam | International Conference on Learning Representations | 2020-10 | |
| Learning Transformer Programs | Dan Friedman, Alexander Wettig, Danqi Chen | Advances in Neural Information Processing Systems | 2023-06 | |
| Self-Alignment with Instruction Backtranslation | Xian Li, Ping Yu, Chunting Zhou, Timo Schick, Luke Zettlemoyer, Omer Levy, Jason Weston, Mike Lewis | International Conference on Learning Representations | 2023-08 | |
| The Consensus Game: Language Model Generation via Equilibrium Search | Athul Paul Jacob, Yikang Shen, Gabriele Farina, Jacob Andreas | International Conference on Learning Representations | 2023-10 |
Authors: Josef Dai, Xuehai Pan, Ruiyang Sun, Jiaming Ji, Xinbo Xu, Mickel Liu, Yizhou Wang, Yaodong Yang
Published in: International Conference on Learning Representations
Date: 2023-10
Authors: Zhiqing Sun, Yikang Shen, Hongxin Zhang, Qinhong Zhou, Zhenfang Chen, David Cox, Yiming Yang, Chuang Gan
Published in: International Conference on Learning Representations
Date: 2023-10
Authors: Robert Kirk, Ishita Mediratta, Christoforos Nalmpantis, Jelena Luketina, Eric Hambro, Edward Grefenstette, Roberta Raileanu
Published in: International Conference on Learning Representations
Date: 2023-10
Authors: Yao Zhao, Misha Khalman, Rishabh Joshi, Shashi Narayan, Mohammad Saleh, Peter J. Liu
Published in: International Conference on Learning Representations
Date: 2023-10
Authors: Tianqi Liu, Yao Zhao, Rishabh Joshi, Misha Khalman, Mohammad Saleh, Peter J. Liu, Jialu Liu
Published in: International Conference on Learning Representations
Date: 2023-09
Authors: Tomasz Korbak, Ethan Perez, Christopher L Buckley
Published in: Annual Meeting of the Association for Computational Linguistics
Date: 2022-05
Authors: Anton Bakhtin, Yuntian Deng, Sam Gross, Myle Ott, Marc’Aurelio Ranzato, Arthur Szlam
Published in: International Conference on Learning Representations
Date: 2020-10
Authors: Dan Friedman, Alexander Wettig, Danqi Chen
Published in: Advances in Neural Information Processing Systems
Date: 2023-06
Authors: Xian Li, Ping Yu, Chunting Zhou, Timo Schick, Luke Zettlemoyer, Omer Levy, Jason Weston, Mike Lewis
Published in: International Conference on Learning Representations
Date: 2023-08
Authors: Athul Paul Jacob, Yikang Shen, Gabriele Farina, Jacob Andreas
Published in: International Conference on Learning Representations
Date: 2023-10
