2026
Think-at-Hard: Selective Latent Iterations to Improve Reasoning Language Models
ICML 2026poster
Improving reasoning abilities of Large Language Models (LLMs), especially under parameter constraints, is crucial for real-world applications. Looped transformers address this by performing multiple latent iterations to refine each token beyond a single forward pass. However, we identify a latent ov…