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README.md

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+- **[2024-11]** 🔔🔔 We are excited to introduce LMMs-Eval/v0.3.0, focusing on audio understanding. Building upon LMMs-Eval/v0.2.0, we have added audio models and tasks. Now, LMMs-Eval provides a consistent evaluation toolkit across image, video, and audio modalities.
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+    [GitHub](https://github.com/EvolvingLMMs-Lab/lmms-eval) | [Documentation](https://github.com/EvolvingLMMs-Lab/lmms-eval/blob/main/docs/lmms-eval-0.3.md)
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 - **[2024-11]** 🤯🤯 We introduce **Multimodal SAE**, the first framework designed to interpret learned features in large-scale multimodal models using Sparse Autoencoders. Through our approach, we leverage LLaVA-OneVision-72B to analyze and explain the SAE-derived features of LLaVA-NeXT-LLaMA3-8B. Furthermore, we demonstrate the ability to steer model behavior by clamping specific features to alleviate hallucinations and avoid safety-related issues.
     
     [GitHub](https://github.com/EvolvingLMMs-Lab/multimodal-sae) | [Paper](https://arxiv.org/abs/2411.14982)