luka-group/mDPO

[EMNLP 2024] mDPO: Conditional Preference Optimization for Multimodal Large Language Models.

90

stars

4

commits

Python

primary language

Nov 10, 2024

updated

feiwang96.github.io/mDPO/

README

Multimodal Direct Preference Optimization (mDPO)

mDPO: Conditional Preference Optimization for Multimodal Large Language Models (published at EMNLP 2024).

🌐 Homepage | 📖 Paper | 💻 Code | 🤗 Dataset

alt text

Updates

  • 🔥 [2024-09-04] Initial release of the mDPO trainer. We are currently working on releasing the code for training and evaluating different models.

Installation

TBD

Training

Our training data is available at this link.

To train Bunny with mDPO, use the following command:

python bunny/run_mdpo_bunny.py

Evaluation

TBD

Citation

Please cite the following paper if you find the repo helpful:

@article{wang2024mdpo,
  title={mDPO: Conditional Preference Optimization for Multimodal Large Language Models},
  author={Wang, Fei and Zhou, Wenxuan and Huang, James Y and Xu, Nan and Zhang, Sheng and Poon, Hoifung and Chen, Muhao},
  journal={arXiv preprint arXiv:2406.11839},
  year={2024}
}

Contributors

FeiWang96

4 commits

luka-group/mDPO

[EMNLP 2024] mDPO: Conditional Preference Optimization for Multimodal Large Language Models.

90

stars

4

commits

Python

primary language

Nov 10, 2024

updated

feiwang96.github.io/mDPO/

README

Multimodal Direct Preference Optimization (mDPO)

mDPO: Conditional Preference Optimization for Multimodal Large Language Models (published at EMNLP 2024).

🌐 Homepage | 📖 Paper | 💻 Code | 🤗 Dataset

alt text

Updates

  • 🔥 [2024-09-04] Initial release of the mDPO trainer. We are currently working on releasing the code for training and evaluating different models.

Installation

TBD

Training

Our training data is available at this link.

To train Bunny with mDPO, use the following command:

python bunny/run_mdpo_bunny.py

Evaluation

TBD

Citation

Please cite the following paper if you find the repo helpful:

@article{wang2024mdpo,
  title={mDPO: Conditional Preference Optimization for Multimodal Large Language Models},
  author={Wang, Fei and Zhou, Wenxuan and Huang, James Y and Xu, Nan and Zhang, Sheng and Poon, Hoifung and Chen, Muhao},
  journal={arXiv preprint arXiv:2406.11839},
  year={2024}
}

Contributors

FeiWang96

4 commits

Languages

Python

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