Update README.md
Browse files
README.md
CHANGED
@@ -21,7 +21,7 @@ Tulu V2.5 is a series of models trained using DPO and PPO starting from the [Tul
|
|
21 |
This model is trained on the Chatbot Arena 2023 data (chatbot arena conversations) using DPO.
|
22 |
|
23 |
For more details, read the paper:
|
24 |
-
[Unpacking DPO and PPO: Disentangling Best Practices for Learning from Preference Feedback](https://
|
25 |
|
26 |
|
27 |
## .Model description
|
@@ -79,6 +79,7 @@ If you find Tulu 2.5 is useful in your work, please cite it with:
|
|
79 |
title={{Unpacking DPO and PPO: Disentangling Best Practices for Learning from Preference Feedback}},
|
80 |
author={{Hamish Ivison and Yizhong Wang and Jiacheng Liu and Ellen Wu and Valentina Pyatkin and Nathan Lambert and Yejin Choi and Noah A. Smith and Hannaneh Hajishirzi}}
|
81 |
year={2024},
|
|
|
82 |
archivePrefix={arXiv},
|
83 |
primaryClass={cs.CL}
|
84 |
}
|
|
|
21 |
This model is trained on the Chatbot Arena 2023 data (chatbot arena conversations) using DPO.
|
22 |
|
23 |
For more details, read the paper:
|
24 |
+
[Unpacking DPO and PPO: Disentangling Best Practices for Learning from Preference Feedback](https://arxiv.org/abs/2406.09279).
|
25 |
|
26 |
|
27 |
## .Model description
|
|
|
79 |
title={{Unpacking DPO and PPO: Disentangling Best Practices for Learning from Preference Feedback}},
|
80 |
author={{Hamish Ivison and Yizhong Wang and Jiacheng Liu and Ellen Wu and Valentina Pyatkin and Nathan Lambert and Yejin Choi and Noah A. Smith and Hannaneh Hajishirzi}}
|
81 |
year={2024},
|
82 |
+
eprint={2406.09279},
|
83 |
archivePrefix={arXiv},
|
84 |
primaryClass={cs.CL}
|
85 |
}
|