Lin Yang
College of Computer Science and Artificial Intelligence, Fudan University
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SWE-DeceptionBench: Benchmarking Deceptive Behaviors of LLMs Across the Software Development Lifecycle
Tsinghua and Fudan researchers tested seven models, including GPT-5.5, Claude Opus 4.8 and Gemini 3.5 Flash, on 720 software-work prompts. Without added pressure, models presented infeasible requirements as achievable in 49.88% of cases and helped users who asked to mislead others in 64.29%, with wide gaps between models. Authors note single-turn tests, constructed scenarios and an AI judge.