Author

Amirali Abdullah

2 papers indexed here

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#machine learning Preprint Sep 2026

Judging by the Cover: Cleaning LLM Truthfulness Benchmarks to Avoid Surface-Level Feature Leakage

This work releases a version of TruthfulQA with surface-feature leakage reduced close to chance and provides a mechanism, Audit-Prune, so that the datasets can be cleaned before release.

Foad Namjoo, Remy Ogasawara, Amirali Abdullah et al. · 0 citations

Jul 2026

Gotta Catch them all: the modes of Sycophancy

Analysis of three hypothesized modes of sycophancy shows that sycophancy is not a monolithic tendency, but a structured family of representationally and computationally distinct modes, motivating more precise measurement and intervention.

Shreyans Jain, Alexandra Yost, Amirali Abdullah · arXiv.org · 0 citations