Update README.md

README.md

@@ -13,15 +13,21 @@ tags:
 - large-language-model
 - recommender-system
 ---
+<div align="center">
 
 # 🌟 MiniOneRec · Generative Recommender Checkpoints
 
-<p align="center">
-  <img src="https://raw.githubusercontent.com/AkaliKong/MiniOneRec/main/assets/logo.png" width="450"/>
-</p>
 
-**MiniOneRec** is the *first fully-open generative recommendation framework*.  
-It provides an end-to-end workflow covering **Semantic-ID (SID) construction**, **Supervised Fine-Tuning (SFT)** and **Recommendation-oriented Reinforcement Learning (RL)**.
+<img src="./assets/logo.png" width="500em" ></img> 
+
+![Python](https://img.shields.io/badge/Python-3.10+-blue.svg)
+![License](https://img.shields.io/badge/License-Apache--2.0-green.svg)
+<a href="https://arxiv.org/abs/2510.24431"><img src="https://img.shields.io/static/v1?label=arXiv&message=Paper&color=red"></a>
+</div>
+
+
+
+**MiniOneRec** is the first fully open-source **generative recommendation** framework, which provides an end-to-end workflow spanning **SID construction**, **supervised fine-tuning (SFT)**, and recommendation-oriented **reinforcement learning (RL)**. 
 
 These checkpoints accompany the paper:
 
@@ -31,15 +37,25 @@ These checkpoints accompany the paper:
 ---
 
 ## 🗺️ Table of Contents
-1. Key Techniques
-2. Evaluation  
-3. Acknowledgements  
-4. Institutions 
-5. Citation   
+1. Repository Contents  
+2. Key Techniques  
+3. Evaluation  
+4. Acknowledgements  
+5. Institutions  
+6. Citation  
 
 ---
 
-## 1️⃣ Key Techniques 
+## 1️⃣ Repository Contents  <a name="repo"></a>
+
+| File / Directory     | Description                                                                                                                    |
+| -------------------- | ------------------------------------------------------------------------------------------------------------------------------ |
+| `Amazon/`            | **Pre-processed Amazon-2018 dataset** ─ contains both *Industrial* and *Office* splits                                         |
+| `Industrial_ckpt/`   | **MiniOneRec full-training checkpoint** for the *Industrial* split (base model: Qwen2.5-1.5B-Instruct)                         |
+| `Office_ckpt/`       | **MiniOneRec full-training checkpoint** for the *Office* split (base model: Qwen2.5-1.5B-Instruct)                             |
+
+
+## 2️⃣ Key Techniques 
 <div align="center">
 <img src="./assets/minionerec_framework.png" width=100% ></img> 
 </div>
@@ -52,7 +68,7 @@ These checkpoints accompany the paper:
 
 ---
 
-## 2️⃣ Evaluation
+## 3️⃣ Evaluation
 
 <div align="center">
 <img src="./assets/minionerec_main_result.png" width=100% ></img> 
@@ -60,7 +76,7 @@ These checkpoints accompany the paper:
 
 ---
 
-## 3️⃣ Acknowledgements
+## 4️⃣ Acknowledgements
 
 This repository reuses or adapts portions of code from the following open-source projects. We gratefully acknowledge their authors and contributors:
 
@@ -69,7 +85,7 @@ This repository reuses or adapts portions of code from the following open-source
 
 ---
 
-## 4️⃣ Institutions  <!-- omit in toc -->
+## 5️⃣ Institutions  <!-- omit in toc -->
 
 This project is developed by the following institutions:
 
@@ -79,7 +95,7 @@ This project is developed by the following institutions:
 
 ---
 
-## 5️⃣ Citation
+## 6️⃣ Citation
 
 If you find our code/paper/model helpful, please consider citing our papers 📝 and staring us ⭐️！
 
@@ -99,4 +115,11 @@ If you find our code/paper/model helpful, please consider citing our papers 📝
   journal = {arXiv preprint arXiv:2510.12211},
   year    = {2025}
 }
+
+@inproceedings{RecZero,
+      title={Think before Recommendation: Autonomous Reasoning-enhanced Recommender}, 
+      author={Xiaoyu Kong and Junguang Jiang and Bin Liu and Ziru Xu and Han Zhu and Jian Xu and Bo Zheng and Jiancan Wu and Xiang Wang},
+      year={2025},
+      booktitle={NeurIPS},
+}
 ```