To Preserve or To Compress: An In-Depth Study of Connector Selection in Multimodal Large Language Models

Junyan Lin, Haoran Chen, Dawei Zhu, Xiaoyu Shen 0001. To Preserve or To Compress: An In-Depth Study of Connector Selection in Multimodal Large Language Models. In Yaser Al-Onaizan, Mohit Bansal, Yun-Nung Chen, editors, Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, EMNLP 2024, Miami, FL, USA, November 12-16, 2024. pages 5666-5680, Association for Computational Linguistics, 2024. [doi]

@inproceedings{LinCZ024-0,
  title = {To Preserve or To Compress: An In-Depth Study of Connector Selection in Multimodal Large Language Models},
  author = {Junyan Lin and Haoran Chen and Dawei Zhu and Xiaoyu Shen 0001},
  year = {2024},
  url = {https://aclanthology.org/2024.emnlp-main.325},
  researchr = {https://researchr.org/publication/LinCZ024-0},
  cites = {0},
  citedby = {0},
  pages = {5666-5680},
  booktitle = {Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, EMNLP 2024, Miami, FL, USA, November 12-16, 2024},
  editor = {Yaser Al-Onaizan and Mohit Bansal and Yun-Nung Chen},
  publisher = {Association for Computational Linguistics},
  isbn = {979-8-89176-164-3},
}