Want to create an interactive transcript for this episode?
Podcast: Arxiv Papers
Episode: TokenSkip: Controllable Chain-of-Thought Compression in LLMs
Description: TokenSkip enhances LLM reasoning by selectively skipping less important tokens in Chain-of-Thought outputs, reducing inference latency while maintaining performance, demonstrated through extensive experiments. Code available online.https://arxiv.org/abs//2502.12067YouTube: 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