Cover Image

SK2Decompile: LLM-based Two-Phase Binary Decompilation from Skeleton to Skin

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Tan, Hanzhuo, Li, Weihao, Tian, Xiaolong, Wang, Siyi, Liu, Jiaming, Li, Jing, Zhang, Yuqun
Format:	Preprint
Published:	2025
Subjects:	Software Engineering
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Decompile-Bench: Million-Scale Binary-Source Function Pairs for Real-World Binary Decompilation
by: Tan, Hanzhuo, et al.
Published: (2025)

LLM4Decompile: Decompiling Binary Code with Large Language Models
by: Tan, Hanzhuo, et al.
Published: (2024)

ReF Decompile: Relabeling and Function Call Enhanced Decompile
by: Feng, Yunlong, et al.
Published: (2025)

SALT4Decompile: Inferring Source-level Abstract Logic Tree for LLM-Based Binary Decompilation
by: Wang, Yongpan, et al.
Published: (2025)

Superset Decompilation
by: Liu, Chang, et al.
Published: (2026)

DecompileBench: A Comprehensive Benchmark for Evaluating Decompilers in Real-World Scenarios
by: Gao, Zeyu, et al.
Published: (2025)

Constraint-Guided Multi-Agent Decompilation for Executable Binary Recovery
by: Zhang, Yifan, et al.
Published: (2026)

The CodeInverter Suite: Control-Flow and Data-Mapping Augmented Binary Decompilation with LLMs
by: Liu, Peipei, et al.
Published: (2025)

Is This the Same Code? A Comprehensive Study of Decompilation Techniques for WebAssembly Binaries
by: Wu, Wei-Cheng, et al.
Published: (2024)

SCRIBE: Practical Static Binary Patching via Binary-Aware Recompilation of Decompiled Code
by: Dai, Han, et al.
Published: (2026)

Demystifying and Assessing Code Understandability in Java Decompilation
by: Qin, Ruixin, et al.
Published: (2024)

FidelityGPT: Correcting Decompilation Distortions with Retrieval Augmented Generation
by: Zhou, Zhiping, et al.
Published: (2025)

Prompt-based Code Completion via Multi-Retrieval Augmented Generation
by: Tan, Hanzhuo, et al.
Published: (2024)

HELIOS: Hierarchical Graph Abstraction for Structure-Aware LLM Decompilation
by: Achamyeleh, Yonatan Gizachew, et al.
Published: (2026)

WaDec: Decompiling WebAssembly Using Large Language Model
by: She, Xinyu, et al.
Published: (2024)

CodableLLM: Automating Decompiled and Source Code Mapping for LLM Dataset Generation
by: Manuel, Dylan, et al.
Published: (2025)

D-LiFT: Improving LLM-based Decompiler Backend via Code Quality-driven Fine-tuning
by: Zou, Muqi, et al.
Published: (2025)

SCDBench: A Benchmark for LLM-Based Smart Contract Decompilers
by: Qin, Kaihua, et al.
Published: (2026)

Context-Guided Decompilation: A Step Towards Re-executability
by: Wang, Xiaohan, et al.
Published: (2025)

PCodeTrans: Translate Decompiled Pseudocode to Compilable and Executable Equivalent
by: Cui, Yuxin, et al.
Published: (2026)

Bayesian Program Learning by Decompiling Amortized Knowledge
by: Palmarini, Alessandro B., et al.
Published: (2023)

Idioms: Neural Decompilation With Joint Code and Type Definition Prediction
by: Dramko, Luke, et al.
Published: (2025)

Self-Constructed Context Decompilation with Fined-grained Alignment Enhancement
by: Feng, Yunlong, et al.
Published: (2024)

Augmenting Smart Contract Decompiler Output through Fine-grained Dependency Analysis and LLM-facilitated Semantic Recovery
by: Liao, Zeqin, et al.
Published: (2025)

Decaf: Improving Neural Decompilation with Automatic Feedback and Search
by: Shypula, Alexander, et al.
Published: (2026)

JaxDecompiler: Redefining Gradient-Informed Software Design
by: Pochelu, Pierrick
Published: (2024)

Fast, Fine-Grained Equivalence Checking for Neural Decompilers
by: Dramko, Luke, et al.
Published: (2025)

Decompiling Rust: An Empirical Study of Compiler Optimizations and Reverse Engineering Challenges
by: Zhou, Zixu
Published: (2025)

CoDe-R: Refining Decompiler Output with LLMs via Rationale Guidance and Adaptive Inference
by: Zhang, Qiang, et al.
Published: (2026)

SuiGPT MAD: Move AI Decompiler to Improve Transparency and Auditability on Non-Open-Source Blockchain Smart Contract
by: Chen, Eason, et al.
Published: (2024)

Evaluating and Improving Automated Repository-Level Rust Issue Resolution with LLM-based Agents
by: Xiang, Jiahong, et al.
Published: (2026)

VulCatch: Enhancing Binary Vulnerability Detection through CodeT5 Decompilation and KAN Advanced Feature Extraction
by: Chukkol, Abdulrahman Hamman Adama, et al.
Published: (2024)

StackSight: Unveiling WebAssembly through Large Language Models and Neurosymbolic Chain-of-Thought Decompilation
by: Fang, Weike, et al.
Published: (2024)

BinaryAI: Binary Software Composition Analysis via Intelligent Binary Source Code Matching
by: Jiang, Ling, et al.
Published: (2024)

Empowering Autonomous Debugging Agents with Efficient Dynamic Analysis
by: Xiang, Jiahong, et al.
Published: (2026)

LLMs as Idiomatic Decompilers: Recovering High-Level Code from x86-64 Assembly for Dart
by: Abualazm, Raafat, et al.
Published: (2026)

Agentic Harness for Real-World Compilers
by: Zheng, Yingwei, et al.
Published: (2026)

Tumbling Down the Rabbit Hole: How do Assisting Exploration Strategies Facilitate Grey-box Fuzzing?
by: Wu, Mingyuan, et al.
Published: (2024)

ProfInfer: An eBPF-based Fine-Grained LLM Inference Profiler
by: Zou, Bohua, et al.
Published: (2026)

Leveraging Large Vision Language Model For Better Automatic Web GUI Testing
by: Wang, Siyi, et al.
Published: (2024)