most citedLLM4Decompile: Decompiling Binary Code with Large Language Models

51 citations · 55 across the 9 of their papers we have counts for

collaborators

10 papers

q-fin.CP2025

PyFi: Toward Pyramid-like Financial Image Understanding for VLMs via Adversarial Agents

Yuqun Zhang, Yuxuan Zhao, Sijia Chen

This paper proposes PyFi, a novel framework for pyramid-like financial image understanding that enables vision language models (VLMs) to reason through question chains in a progres…

cs.CL2025

KAT-Coder Technical Report

Zizheng Zhan, Ken Deng, Jinghui Wang +37

Recent advances in large language models (LLMs) have enabled progress in agentic coding, where models autonomously reason, plan, and act within interactive software development wor…

cs.CL2025

HiPO: Hybrid Policy Optimization for Dynamic Reasoning in LLMs

Ken Deng, Zizheng Zhan, Wen Xiang +25

Large Language Models (LLMs) increasingly rely on Chain-of-Thought (CoT) reasoning to improve accuracy on complex tasks. However, always generating lengthy reasoning traces is inef…

cs.SE2025

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

Hanzhuo Tan, Weihao Li, Xiaolong Tian +4

Large Language Models (LLMs) have emerged as a promising approach for binary decompilation. However, the existing LLM-based decompilers still are somewhat limited in effectively pr…

cs.SE2025

Decompile-Bench: Million-Scale Binary-Source Function Pairs for Real-World Binary Decompilation

Hanzhuo Tan, Xiaolong Tian, Hanrui Qi +6

Recent advances in LLM-based decompilers have been shown effective to convert low-level binaries into human-readable source code. However, there still lacks a comprehensive benchma…

cs.CL2025

OASIS: Order-Augmented Strategy for Improved Code Search

Zuchen Gao, Zizheng Zhan, Xianming Li +6

Code embeddings capture the semantic representations of code and are crucial for various code-related large language model (LLM) applications, such as code search. Previous trainin…

cs.PL2025

Grammar-Based Code Representation: Is It a Worthy Pursuit for LLMs?

Qingyuan Liang, Zhao Zhang, Zeyu Sun +9

Grammar serves as a cornerstone in programming languages and software engineering, providing frameworks to define the syntactic space and program structure. Existing research demon…

cs.SE2024★ 2 cited

Prompt-based Code Completion via Multi-Retrieval Augmented Generation

Hanzhuo Tan, Qi Luo, Ling Jiang +4

Automated code completion, aiming at generating subsequent tokens from unfinished code, has been significantly benefited from recent progress in pre-trained Large Language Models (…

cs.PL2024★ 51 cited

LLM4Decompile: Decompiling Binary Code with Large Language Models

Hanzhuo Tan, Qi Luo, Jing Li +1

Decompilation aims to convert binary code to high-level source code, but traditional tools like Ghidra often produce results that are difficult to read and execute. Motivated by th…

cs.SE2024★ 2 cited

BinaryAI: Binary Software Composition Analysis via Intelligent Binary Source Code Matching

Ling Jiang, Junwen An, Huihui Huang +4

While third-party libraries are extensively reused to enhance productivity during software development, they can also introduce potential security risks such as vulnerability propa…