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2020 – today
- 2024
[c2]Yannis Flet-Berliac, Nathan Grinsztajn, Florian Strub, Eugene Choi, Bill Wu, Chris Cremer, Arash Ahmadian, Yash Chandak, Mohammad Gheshlaghi Azar, Olivier Pietquin, Matthieu Geist:
Contrastive Policy Gradient: Aligning LLMs on sequence-level scores in a supervised-friendly fashion. EMNLP 2024: 21353-21370- [i5]Eugene Choi, Arash Ahmadian, Matthieu Geist, Olivier Pietquin, Mohammad Gheshlaghi Azar:
Self-Improving Robust Preference Optimization. CoRR abs/2406.01660 (2024) - [i4]Yannis Flet-Berliac, Nathan Grinsztajn, Florian Strub, Eugene Choi, Chris Cremer, Arash Ahmadian, Yash Chandak, Mohammad Gheshlaghi Azar, Olivier Pietquin, Matthieu Geist:
Contrastive Policy Gradient: Aligning LLMs on sequence-level scores in a supervised-friendly fashion. CoRR abs/2406.19185 (2024) - [i3]Nathan Grinsztajn, Yannis Flet-Berliac, Mohammad Gheshlaghi Azar, Florian Strub, Bill Wu, Eugene Choi, Chris Cremer, Arash Ahmadian, Yash Chandak, Olivier Pietquin, Matthieu Geist:
Averaging log-likelihoods in direct alignment. CoRR abs/2406.19188 (2024) - 2023
- [c1]Eugene Choi, Kyunghyun Cho, Cheolhyoung Lee:
A Non-monotonic Self-terminating Language Model. ICLR 2023 - [i2]Eugene Choi, Rak-Kyeong Seong:
Machine Learning Regularization for the Minimum Volume Formula of Toric Calabi-Yau 3-folds. CoRR abs/2310.19276 (2023) - 2022
- [i1]Eugene Choi, Cheolhyoung Lee, Kyunghyun Cho:
A Non-monotonic Self-terminating Language Model. CoRR abs/2210.00660 (2022)
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