Update README.md

README.md

@@ -1,3 +1,50 @@
 ---
+language:
+- en
+base_model: Qwen/Qwen3.5-9B
+tags:
+- chat
+library_name: transformers
 license: apache-2.0
 ---
+# CodeV-SVA-VL: Automated Hardware Assertion Generation from Natural Language Specifications and Waveform Diagrams
+
+<div align="center"> 
+  <a href="https://huggingface.co/wyt2000/CodeV-SVA-VL-27B"><img src="https://img.shields.io/static/v1?label=Model&message=HuggingFace&color=yellow"></a> &ensp;
+  <a href="https://github.com/wyt2000/CodeV-SVA"><img src="https://img.shields.io/static/v1?label=Code&message=Github&color=blue"></a> &ensp;
+</div>
+
+## Introduction
+
+We introduce CodeV-SVA-VL, a family of vision language models designed to translate natural-language verification properties and waveform diagrams into SystemVerilog Assertions (SVAs).
+
+Open-Source Plan:
+
+- Benchmark ✓
+- Model ✓
+- Evaluation code ✓
+- Paper
+- Dataset ✓
+- Data synthesis and training code
+
+This repository includes the NL-Waveform-SVA training data selected by bidirectional translation and equivalence verification.
+
+- **CodeV-SVA-dataset-83K-sva2wavedrom-qwen3p6-plus-diagram-wave2sva-self-verified-pass-training.jsonl**: Textual training data.
+- **CodeV-SVA-dataset-83K-sva2wavedrom-qwen3p6-plus-diagram-wave2sva-self-verified-pass-images.tar**: Waveform diagrams.
+
+
+## Citation
+
+```latex
+@misc{wu2026qimengcodevsvatrainingspecializedllms,
+      title={QiMeng-CodeV-SVA: Training Specialized LLMs for Hardware Assertion Generation via RTL-Grounded Bidirectional Data Synthesis}, 
+      author={Yutong Wu and Chenrui Cao and Pengwei Jin and Di Huang and Rui Zhang and Xishan Zhang and Zidong Du and Qi Guo and Xing Hu},
+      year={2026},
+      eprint={2603.14239},
+      archivePrefix={arXiv},
+      primaryClass={cs.CL},
+      url={https://arxiv.org/abs/2603.14239}, 
+}
+```
+
+