3 papers
cs.CL2026
Investigating the Influence of Language on Sycophantic Behavior of Multilingual LLMs
Bayan Abdullah Aldahlawi, A. B. M. Ashikur Rahman, Irfan Ahmad
Large language models (LLMs) have achieved strong performance across a wide range of tasks, but they are also prone to sycophancy, the tendency to agree with user statements regard…
cs.AI2026
Moral Sycophancy in Vision Language Models
Shadman Rabby, Md. Hefzul Hossain Papon, Sabbir Ahmed +3
Sycophancy in Vision-Language Models (VLMs) refers to their tendency to align with user opinions, often at the expense of moral or factual accuracy. While prior studies have explor…
cs.AI2025
PENDULUM: A Benchmark for Assessing Sycophancy in Multimodal Large Language Models
A. B. M. Ashikur Rahman, Saeed Anwar, Muhammad Usman +2
Sycophancy, an excessive tendency of AI models to agree with user input at the expense of factual accuracy or in contradiction of visual evidence, poses a critical and underexplore…