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20232026
most citedLibAM: An Area Matching Framework for Detecting Third-party Libraries in Binaries

1 citations · 1 across the 6 of their papers we have counts for

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cs.SE2026

Repo0: Design-Driven Zero-to-All Code Generation

Silin Chen, Haoyi Teng, Xiaodong Gu +5

Large language model agents have made substantial progress in code generation, yet most existing systems assume a predefined repository architecture. This assumption does not hold…

cs.SE2026

ClassEval-Pro: A Cross-Domain Benchmark for Class-Level Code Generation

Yeheng Chen, Chaoxiang Xie, Yuling Shi +4

LLMs have achieved strong results on both function-level code synthesis and repository-level code modification, yet a capability that falls between these two extremes -- compositio…

cs.SE2025

ALT4Decompile: Inferring C-aligned Abstract Loop Tree for LLM-Based Binary Decompilation

Yongpan Wang, Puzhuo Liu, Xin Xu +4

Decompilation refers to the process of recovering high-level (C) language code from low-level (assembly) code. Recent Large Language Model (LLM)-based methods can generate re-execu…

cs.SE2024

TransferFuzz: Fuzzing with Historical Trace for Verifying Propagated Vulnerability Code

Siyuan Li, Yuekang Li, Zuxin Chen +5

Code reuse in software development frequently facilitates the spread of vulnerabilities, making the scope of affected software in CVE reports imprecise. Traditional methods primari…

cs.SE2024

BinEnhance: An Enhancement Framework Based on External Environment Semantics for Binary Code Search

Yongpan Wang, Hong Li, Xiaojie Zhu +4

Binary code search plays a crucial role in applications like software reuse detection. Currently, existing models are typically based on either internal code semantics or a combina…

cs.SE2023★ 1 cited

LibAM: An Area Matching Framework for Detecting Third-party Libraries in Binaries

Siyuan Li, Yongpan Wang, Chaopeng Dong +8

Third-party libraries (TPLs) are extensively utilized by developers to expedite the software development process and incorporate external functionalities. Nevertheless, insecure TP…