Potemkin Understanding in Large Language Models

This paper introduces a framework to evaluate large language models, revealing that their benchmark success often reflects superficial understanding, with pervasive internal incoherence in concept representations. https://arxiv.org/abs//2506.21521 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@arxiv_papers Apple Podcasts: https://podcasts.apple.com/us/podcast/arxiv-papers/id1692476016 Spotify: https://podcasters.spotify.com/pod/show/arxiv-papers