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1 change: 1 addition & 0 deletions README.md
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Expand Up @@ -552,6 +552,7 @@ The first work to correct hallucinations in MLLMs. :sparkles:
| **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 |
| **TempCompass** | [TempCompass: Do Video LLMs Really Understand Videos?](https://arxiv.org/pdf/2403.00476.pdf) | [Link](https://github.com/llyx97/TempCompass) | A benchmark to evaluate the temporal perception ability of Video LLMs |

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