Cover Image

SALT4Decompile: Inferring Source-level Abstract Logic Tree for LLM-Based Binary Decompilation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Wang, Yongpan, Xu, Xin, Zhu, Xiaojie, Gu, Xiaodong, Shen, Beijun
Format:	Preprint
Published:	2025
Subjects:	Software Engineering Programming Languages
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

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

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

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

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

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

SK2Decompile: LLM-based Two-Phase Binary Decompilation from Skeleton to Skin
by: Tan, Hanzhuo, et al.
Published: (2025)

SWE-QA: Can Language Models Answer Repository-level Code Questions?
by: Peng, Weihan, et al.
Published: (2025)

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

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

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

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

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

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

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

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

LongCodeZip: Compress Long Context for Code Language Models
by: Shi, Yuling, et al.
Published: (2025)

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

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

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

Zero-Shot Code Representation Learning via Prompt Tuning
by: Cui, Nan, et al.
Published: (2024)

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

Defusing Logic Bombs in Symbolic Execution with LLM-Generated Ghost Code
by: Bouras, Dimitrios Stamatios, et al.
Published: (2026)

Inferring Non-Failure Conditions for Declarative Programs
by: Hanus, Michael
Published: (2024)

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

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

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

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

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

TypePro: Boosting LLM-Based Type Inference via Inter-Procedural Slicing
by: Lin, Teyu, et al.
Published: (2026)

Neuron-Guided Interpretation of Code LLMs: Where, Why, and How?
by: Yin, Zhe, et al.
Published: (2025)

Just-In-Time Software Defect Prediction via Bi-modal Change Representation Learning
by: Jiang, Yuze, 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)

Revisiting Code Similarity Evaluation with Abstract Syntax Tree Edit Distance
by: Song, Yewei, et al.
Published: (2024)

Rethinking Code Complexity Through the Lens of Large Language Models
by: Xie, Chen, et al.
Published: (2026)

APIRAT: Integrating Multi-source API Knowledge for Enhanced Code Translation with LLMs
by: Wang, Chaofan, et al.
Published: (2025)

Unraveling the Potential of Large Language Models in Code Translation: How Far Are We?
by: Tao, Qingxiao, et al.
Published: (2024)

CatchAll: Repository-Aware Exception Handling with Knowledge-Guided LLMs
by: Tao, Qingxiao, et al.
Published: (2026)

Beyond Language Boundaries: Uncovering Programming Language Families for Code Language Models
by: Yun, Shangbo, et al.
Published: (2025)

Cross-Domain Deep Code Search with Meta Learning
by: Chai, Yitian, et al.
Published: (2022)

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