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cs.CL2026
Judging by the Cover: Cleaning LLM Truthfulness Benchmarks to Avoid Surface-Level Feature Leakage
Foad Namjoo, Remy Ogasawara, Amirali Abdullah +3
Binary-choice truth benchmarks ask models to choose between a correct and an incorrect answer, but if the two answers differ systematically in surface-level features, models can ex…
cs.CL2026
Gotta Catch them all: the modes of Sycophancy
Shreyans Jain, Alexandra Yost, Amirali Abdullah
Large language models often align with users' beliefs at the expense of factual accuracy, a behavior known as sycophancy. Prior mechanistic studies largely treat sycophancy as a si…