Want to create an interactive transcript for this episode?
Podcast: Arxiv Papers
Episode: [QA] Scaling up Test-Time Compute with Latent Reasoning: A Recurrent Depth Approach
Description: This paper presents a novel language model that enhances reasoning by iterating recurrent blocks, improving performance without specialized training data, and efficiently scaling computation at test-time.https://arxiv.org/abs//2502.05171YouTube: 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