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From the 1 of 8 linked papers with an AI index.

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8 papers

cs.SE2026

Are Performance-Optimization Benchmarks Reliably Measuring Coding Agents?

Zhi Chen, Zhensu Sun, Yuling Shi +2

The paper audits three repository-level performance‑optimization benchmarks (GSO, SWE‑Perf, SWE‑efficiency) to assess how reliably they measure coding agents, revealing issues with…

cs.PL2026

Executing as You Generate: Hiding Execution Latency in LLM Code Interpreters

Zhensu Sun, Zhihao Lin, Zhi Chen +4

Current LLM systems are increasingly equipped with a code interpreter that executes generated code to obtain results. This works serially: the model first generates the complete co…

cs.SE2026

Same Signal, Different Semantics: A Cross-Framework Behavioral Analysis of Software Engineering Agents

Wei Ma, Zhi Chen, Jingxu Gu +3

Behavioral studies of LLM-based software engineering agents extract operational rules about which trajectory shapes correlate with higher resolution rates: that a test step follows…

cs.SE2026

Rethinking the Value of Agent-Generated Tests for LLM-Based Software Engineering Agents

Zhi Chen, Zhensu Sun, Yuling Shi +4

Large Language Model (LLM) code agents increasingly resolve repository-level issues by iteratively editing code, invoking tools, and validating candidate patches. In these workflow…

cs.SE2026

Beyond Final Code: A Process-Oriented Error Analysis of Software Development Agents in Real-World GitHub Scenarios

Zhi Chen, Wei Ma, Lingxiao Jiang

AI-driven software development has rapidly advanced with the emergence of software development agents that leverage large language models (LLMs) to tackle complex, repository-level…

cs.SE2026

AgentGuard: A Multi-Agent Framework for Robust Package Confusion Detection via Hybrid Search and Metadata-Content Fusion

Yu Li, Wei Ma, Zhi Chen +6

The proliferation of open-source software (OSS) has made software supply chains prime targets for attacks like Package Confusion, where adversaries publish malicious packages with…