| | --- |
| | license: mit |
| | base_model: |
| | - VITA-MLLM/VITA |
| | --- |
| | # MAVEN |
| | We provide LoRA fine-tuned model weights and configurations for MAVEN. These files can be used to reproduce our experimental results. |
| | # Resources |
| | - Github: [https://github.com/reml-group/fortisavqa](https://github.com/reml-group/fortisavqa) |
| | - Arxiv: [https://arxiv.org/abs/2504.00487](https://arxiv.org/abs/2504.00487) |
| | # Citation |
| | If you use this model in your research, please cite the following paper: |
| | ``` |
| | @article{ma2025fortisavqa, |
| | title={FortisAVQA and MAVEN: a Benchmark Dataset and Debiasing Framework for Robust Multimodal Reasoning}, |
| | author={Ma, Jie and Gao, Zhitao and Chai, Qi and Liu, Jun and Wang, Pinghui and Tao, Jing and Su, Zhou}, |
| | journal={arXiv preprint arXiv:2504.00487}, |
| | year={2025} |
| | } |
| | @inproceedings{malook, |
| | title={Look, Listen, and Answer: Overcoming Biases for Audio-Visual Question Answering}, |
| | author={Ma, Jie and Hu, Min and Wang, Pinghui and Sun, Wangchun and Song, Lingyun and Pei, Hongbin and Liu, Jun and Du, Youtian}, |
| | booktitle={NeurIPS}, |
| | year={2024} |
| | } |
| | ``` |
