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Update a new work: MMR benchmark #160

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Update a new work: MMR benchmark #160

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Expand Up @@ -621,6 +621,7 @@ The first technical report for <b>Gemini vs GPT-4V</b>. A total of <b>128 pages<
| **LAMM-Benchmark** | [LAMM: Language-Assisted Multi-Modal Instruction-Tuning Dataset, Framework, and Benchmark](https://arxiv.org/pdf/2306.06687.pdf) | [Link](https://github.com/OpenLAMM/LAMM#lamm-benchmark) | A benchmark for evaluating the quantitative performance of MLLMs on various2D/3D vision tasks |
| **M3Exam** | [M3Exam: A Multilingual, Multimodal, Multilevel Benchmark for Examining Large Language Models](https://arxiv.org/pdf/2306.05179.pdf) | [Link](https://github.com/DAMO-NLP-SG/M3Exam) | A multilingual, multimodal, multilevel benchmark for evaluating MLLM |
| **OwlEval** | [mPLUG-Owl: Modularization Empowers Large Language Models with Multimodality](https://arxiv.org/pdf/2304.14178.pdf) | [Link](https://github.com/X-PLUG/mPLUG-Owl/tree/main/OwlEval) | Dataset for evaluation on multiple capabilities |
| **MMR** | [Seeing Clearly, Answering Incorrectly: A Multimodal Robustness Benchmark for Evaluating MLLMs on Leading Questions](https://arxiv.org/pdf/2406.10638.pdf) | [Link](https://github.com/BAAI-DCAI/Multimodal-Robustness-Benchmark) | A benchmark for measuring MLLMs' understanding capability and robustness to leading questions |

## Others
| Name | Paper | Link | Notes |
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