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cs.SE2026
UXBench: Measuring the Actionability of LLM-Generated UX Critiques
Wenjie Wang, Yue Huang, Zipeng Ling +11
Large language models (LLMs) are increasingly deployed as UX judges that inspect interfaces, diagnose usability problems, and propose repairs. Yet no controlled benchmark measures…
cs.SE2026
ADK Arena: Evaluating Agent Development Kits via LLM-as-a-Developer
Jintao Huang, Xiaomin Li, Gaurav Mittal +1
The rapid proliferation of Agent Development Kits (ADKs), SDK-level frameworks for building LLM-powered autonomous agents, has outpaced any empirical understanding of how framework…
cs.SE2026
AgentLens: Revealing The Lucky Pass Problem in SWE-Agent Evaluation
Priyam Sahoo, Gaurav Mittal, Xiaomin Li +4
Evaluation of software engineering (SWE) agents is dominated by a binary signal: whether the final patch passes the tests. This outcome-only view treats a principled solution and a…