Provide a dynamic table supporting search and filtering for the paper…

… list (#461)

* Create awesome-list.html

* provide a dynamic table for the paper list

docs/awesome_llm_data.md

@@ -2,10 +2,11 @@
 Welcome to the "Awesome List" for data-model co-development of Multi-Modal Large Language Models (MLLMs), a continually updated resource tailored for the open-source community. This compilation features cutting-edge research, insightful articles focusing on improving MLLMs involving with the data-model co-development of MLLMs, and  tagged based on the proposed **taxonomy** from our data-model co-development [survey](https://arxiv.org/abs/2407.08583), as illustrated below.
 
 ![Overview of Our Taxonomy](https://img.alicdn.com/imgextra/i1/O1CN01aN3TVo1mgGZAuSHJ4_!!6000000004983-2-tps-3255-1327.png)
-Soon we will provide a dynamic table of contents to help readers more easily navigate through the materials with features such as search, filter, and sort.
-
 Due to the rapid development in the field, this repository and our paper are continuously being updated and synchronized with each other. **Please feel free to make pull requests or open issues to [contribute to](#contribution-to-this-survey) this list and add more related resources!**
 
+# News
++ ![new](https://img.alicdn.com/imgextra/i4/O1CN01kUiDtl1HVxN6G56vN_!!6000000000764-2-tps-43-19.png) [2024-10-23] We built a [dynamic table](https://modelscope.github.io/data-juicer/_static/awesome-list.html) based on the [paper list](#paper-list) that supports filtering and searching.
++ ![new](https://img.alicdn.com/imgextra/i4/O1CN01kUiDtl1HVxN6G56vN_!!6000000000764-2-tps-43-19.png) [2024-10-22] We restructured our [paper list](#paper-list) to provide more streamlined information.
 
 
 ## Candidate Co-Development Tags
@@ -72,6 +73,8 @@ These tags correspond to the taxonomy in our paper, and each work may be assigne
 
 
 ## Paper List
+Below is a paper list summarized based on our survey. Additionally, we have provided a [dynamic table](https://modelscope.github.io/data-juicer/_static/awesome-list.html) that supports filtering and searching, with the data source same as the list below.
+
 | Title | Tags |
 |-------|-------|
 |No "Zero-Shot" Without Exponential Data: Pretraining Concept Frequency Determines Multimodal Model Performance|![](https://img.shields.io/badge/Data4Model--Scaling--Up--Acquisition-f1db9d) ![](https://img.shields.io/badge/Data4Model--Scaling--Effectiveness--CrossModalAlignment-f1db9d) ![](https://img.shields.io/badge/Model4Data--Synthesis--Evaluator-b4d4fb)|