update(README.md): polish the intro of this repo

README.md

@@ -40,16 +40,8 @@ tags:
 
 This repository hosts the downstream MLLM evaluation checkpoints accompanying **[A Strong Baseline for Evaluating Vision Encoders in Multimodal Large Language Models](https://arxiv.org/abs/2610.05413)**.
 
-**RAVEL** (Retrieval-based Assessment of Vision Encoders for Language Models) uses cross-modal nearest-neighbor retrieval to assess a vision encoder's compatibility with a target language model without MLLM training. The study evaluates **70 vision encoders with three main language backbones**. The released checkpoints are organized by language backbone, vision encoder and training stage; links to the original frozen encoder weights appear alongside the corresponding MLLM weights below.
+The study evaluates **70 vision encoders with three main language backbones**. The released checkpoints are organized by language backbone, vision encoder and training stage; links to the original frozen encoder weights appear alongside the corresponding MLLM weights below.
 
-## Contents
-
-| Language-backbone group | Files | Weight files | Size (GiB) |
-| --- | ---: | ---: | ---: |
-| qwen3base | 35 | 8 | 10.46 |
-| smollm2 | 974 | 215 | 285.01 |
-| qwen3 | 978 | 214 | 305.64 |
-| qwen25 | 1173 | 268 | 326.19 |
 
 ## Model Zoo