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@@ -72,16 +72,6 @@ The goal is to measure whether models can reliably perceive the critical **Visua
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- # 🧰 EPIC-Bench Evaluation Toolkit
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- This repository provides an end-to-end evaluation pipeline for **EPIC-Bench** on both:
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- - **Open-Source VLMs** via the **[ms-swift](https://swift.readthedocs.io/zh-cn/latest/)** inference interface
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- - **Closed-Source / API-Based VLMs** via **[lmms-eval](https://github.com/EvolvingLMMs-Lab/lmms-eval)**
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- It includes **Dataset Conversion** utilities, **Inference Launchers**, **Response Standardization**, **Scoring**, and a Streamlit-based **Visualization** tool.
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  ## 🏆 Leaderboard and data examples
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  Please refer to the [EPIC-Bench Homepage](https://epic-bench.github.io/EPIC-Bench/) for:
 
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  ## 🏆 Leaderboard and data examples
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  Please refer to the [EPIC-Bench Homepage](https://epic-bench.github.io/EPIC-Bench/) for: