Update README.md

README.md

@@ -1,3 +1,21 @@
+---
+# YAML 元数据块 (Model Card Header)
+language:
+  - en
+license: apache-2.0
+model_name: Prompt-R1 Model
+tags:
+  - text-generation
+  - reinforcement-learning
+  - nlp
+  - transformers
+  - safetensors
+# 关联的数据集 
+datasets:
+  - QwenQKing/Prompt-R1
+# 决定网页右侧的推理小组件类型
+pipeline_tag: text-generation
+---
 # Prompt-R1: Enhancing LLM interaction on behalf of humans
 
 <div align="center">
@@ -19,7 +37,7 @@
 ## Overview
 
 <div align="center">
-  <img src="figs/fig1.png" width="80%"/>
+  <img src="image/2-QA.png" width="80%"/>
 </div>
 
 **Prompt-R1** has addressed a critical challenge in interacting with large language models (LLMs)—the inability of users to provide accurate and effective interaction prompts for complex tasks. **Prompt-R1** is an **end-to-end reinforcement learning (RL)** framework that enhances the performance of LLMs by facilitating **collaborative automatic prompting** between a small-scale LLM and a large-scale LLM. **Prompt-R1**, through **multi-turn prompt interaction**, significantly improves the generation quality and reasoning accuracy of large-scale LLMs, enabling better task-solving performance without requiring user expertise in prompt formulation.
@@ -27,7 +45,7 @@
 
 
 <div align="center">
-  <img src="static/images/1-overview.png" width="90%"/>
+  <img src="image/1-overview.png" width="90%"/>
 </div>
 
 By integrating **collaborative prompting** and **reinforcement learning**, **Prompt-R1** offers a **plug-and-play framework** that supports both **inference** and **training** with **various large-scale LLMs** as the environment. 
@@ -35,7 +53,7 @@ By integrating **collaborative prompting** and **reinforcement learning**, **Pro
 ## Experimental Results
 **Results of Different Large language models:**
 <div align="center">
-  <img src="figs/fig3.png" width="100%"/>
+  <img src="image/6-radar.png" width="100%"/>
 </div>