Author

K. Asif

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Jul 2026

Mitigating LLM Sycophancy in Code Smell Detection Using Evidence-Guided Reasoning Prompts

This paper presents the first systematic empirical study of sycophancy bias in LLM-based code smell detection, and proposes Evidence-Guided Debiasing Prompting (EGDP), a structured prompting strategy that enforces evidence-first reasoning and reduces decision instability and improves robustness.

Istiaq Ahmed Fahad, K. Asif, Mohammad A. Tawhid · arXiv.org · 0 citations