activity
20242026
most citedSecureVibeBench: Benchmarking Secure Vibe Coding of AI Agents via Reconstructing Vulnerability-Introducing Scenarios

2 citations · 2 across the 11 of their papers we have counts for

collaborators

33 papers

cs.SE2026

Beyond Text Matching: Towards Reference-Free Evaluation for Human-Oriented Binary Reverse Engineering

Xiuwei Shang, Li Hu, Xiao Jiang +7

Human-Oriented Binary Reverse Engineering (HOBRE) aims to transform decompiled pseudocode into a more human-friendly representation, thereby reducing the cognitive burden of revers…

cs.SE2026

How Reasoning Shapes Social Bias in LLM-Generated Code?

Weifeng Sun, Jieke Shi, Zhou Yang +4

Large language models (LLMs) are increasingly used for code generation, yet generated programs may exhibit social bias through unfair or differential treatment of sensitive demogra…

cs.SE2026

AgentChaos: Chaos Engineering for Agent Systems via Programmatic Fault Injection

Gou Tan, Zhensu Sun, Jieke Shi +10

Agent systems rely on LLM APIs for every response, but these APIs can return server errors, truncated responses, or corrupted content that propagates through downstream agents and…

cs.SE2026

Lossless Tensor Compression as Program Synthesis

Jieke Shi, Junda He, Wenjia Jiang +11

Model checkpoints are growing in both number and size, which makes archival, transfer, and deployment increasingly costly. General-purpose compressors can reduce storage requiremen…

cs.SE2026

SciCodePile: A 128GB Corpus and Executable Benchmark for Challenging Scientific Code Generation

Weifeng Sun, Ye Fan, Yuchen Chen +6

Large language models (LLMs) excel at general-purpose code generation, yet how well they handle scientific code remains an open question. Existing datasets and benchmarks are limit…

cs.SE2026

How Do Practitioners Build SE Agents? Insights from a Mixed-Methods Study

Yunbo Lyu, David Williams, Jieke Shi +5

The rise of Software Engineering (SE) agents, i.e., LLM-based agents that can understand large codebases and carry out engineering tasks with limited human intervention, has been m…