Update README.md

README.md

@@ -12,14 +12,64 @@ pretty_name: FCMBench
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 - 10K<n<100K
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+
+![Main Image](https://github.com/QFIN-tech/FCMBench/raw/main/assets/FCMBench_logo.jpg)
+
 **FCMBench** is a multimodal benchmark for credit-risk–oriented workflows. It aims to provide a standard playground to promote collaborative development between academia and industry and provides standardized datasets, prompts, and evaluation scripts across multiple tracks (image, video, speech, agents, etc.)
+## 🔥 News 
+
+- 【**2026. 01. 01**】✨ We are proud to launch [**FCMBench-V1.0**](https://github.com/QFIN-tech/FCMBench/tree/main/vision_language), which covers 18 core certificate types, including 4,043 privacy-compliant images and 8,446 QA samples. It involves 3 types of Perception tasks and 4 types of Reasoning tasks, which are cross-referenced with 10 categories of robustness inferences. All the tasks and inferences are derived from real-world critical scenarios.
+
+> **Status:** Public release (v1.0).  
+> **Maintainers:** [奇富科技 / Qfin Holdings](https://github.com/QFIN-tech)  
+> **Contact:** [yangyehui-jk@qifu.com]
+
+---
+
+## Tracks Overview
+
+### 1) Vision-Language Track (✅ Available, **FCMBench-V1.0**)
 
-**FCMBench-V1.0** focuses on financial document understanding.
+Image-based financial document understanding: 
+
+- **Entry:** [Vision-Language Track](https://github.com/QFIN-tech/FCMBench/tree/main/vision_language)
+- **Inputs:** document images + text prompts (JSONL, one sample per line)
+- **Outputs:** text responses (JSONL, one sample per line)
+- **Evaluation:** [Evaluation Script](https://github.com/QFIN-tech/FCMBench/blob/main/vision_language/evaluation.py)
 
 #### Paper & Project Links
 - [**Paper (arXiv)**](https://arxiv.org/abs/2601.00150)
 - [**Paper (PDF)**](https://arxiv.org/pdf/2601.00150)
 - [**Project Page**](https://github.com/QFIN-tech/FCMBench/tree/main/vision_language)
-- [**Leaderboard**](https://github.com/QFIN-tech/FCMBench/blob/main/vision_language/LEADERBOARD.md)
+- [**Leaderboard**](vision_language/LEADERBOARD.md)
 - [**Dataset (ModelScope)**](https://modelscope.cn/datasets/QFIN/FCMBench-V1.0)
-- [**Dataset (Hugging Face)**](https://huggingface.co/datasets/QFIN/FCMBench-V1.0)
+- [**Dataset (Hugging Face)**](https://huggingface.co/datasets/QFIN/FCMBench-V1.0)
+
+#### Reference Model Demo
+We also provide access to an interactive demo of our Qfin-VL-Instruct model, which achieves strong performance on FCMBench-V1.0.
+If you are interested in trying the Gradio demo, please contact [yangyehui-jk@qifu.com] with the following information:
+- Name
+- Affiliation / Organization
+- Intended use (e.g., research exploration, benchmarking reference)
+- Contact email
+
+Access will be granted on a case-by-case basis.
+
+### 2) Video Understanding Track (🕒 Coming Soon)
+
+### 3) Speech Understanding & Generation Track (🕒 Coming Soon)
+
+### 4) Multi-step / Agentic Track (🕒 Coming Soon)
+
+## Citation
+```
+@misc{yang2026fcmbenchcomprehensivefinancialcredit,
+      title={FCMBench: A Comprehensive Financial Credit Multimodal Benchmark for Real-world Applications}, 
+      author={Yehui Yang and Dalu Yang and Wenshuo Zhou and Fangxin Shang and Yifan Liu and Jie Ren and Haojun Fei and Qing Yang and Yanwu Xu and Tao Chen},
+      year={2026},
+      eprint={2601.00150},
+      archivePrefix={arXiv},
+      primaryClass={cs.CV},
+      url={https://arxiv.org/abs/2601.00150}, 
+}
+```