Improve model card: Add pipeline tag, library name, paper, and code links

README.md

@@ -1,7 +1,14 @@
 ---
 license: mit
+pipeline_tag: text-generation
+library_name: transformers
 ---
-SK²Decompile: LLM-based Two-Phase Binary Decompilation from Skeleton to Skin
+
+# SK²Decompile: Structure Recovery Model
+
+This repository contains the `sk2decompile-struct-6.7b` model, which is part of the SK²Decompile framework introduced in the paper [Decompile-Bench: Million-Scale Binary-Source Function Pairs for Real-World Binary Decompilation](https://huggingface.co/papers/2505.12668).
+
+The full codebase and more details can be found on the [GitHub repository](https://github.com/albertan017/LLM4Decompile).
 
 SK²Decompile is a novel two-phase framework for binary decompilation using Large Language Models (LLMs). Our approach decomposes the complex decompilation task into two manageable phases:
 
@@ -13,4 +20,4 @@ Usage:
 ```
 python normalize_pseudo.py --input_json reverse_sample.json --output_json reverse_sample.json
 python sk2decompile.py --dataset_path reverse_sample.json --model_path LLM4Binary/sk2decompile-struct-6.7b --recover_model_path LLM4Binary/sk2decompile-ident-6.7
-```
+```