BenSyc: Benchmarking Conversational Sycophancy and Human Alignment in LLMs for Bengali Contexts

This research introduces BenSyc, the first benchmark for studying conversational sycophancy in large language models within Bengali social contexts. It evaluates over 15 LLMs on classification and response generation tasks using a human-validated dataset derived from Reddit posts.