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Podcast: Arxiv Papers
Episode: Are Large Language Models Reliable AI Scientists? Assessing Reverse-Engineering of Black-Box Systems
Description: This paper examines how large language models (LLMs) can better identify black-box functions through active data collection, improving their reverse-engineering capabilities and aiding scientific discovery.https://arxiv.org/abs//2505.17968YouTube: https://www.youtube.com/@ArxivPapersTikTok: https://www.tiktok.com/@arxiv_papersApple Podcasts: https://podcasts.apple.com/us/podcast/arxiv-papers/id1692476016Spotify: https://podcasters.spotify.com/pod/show/arxiv-papers