Yeskendir Koishekenov

Encode, Think, Decode: Scaling test-time reasoning with recursive latent thoughts

2025 · arXiv (Cornell University)

Most efforts to improve the reasoning capabilities of large language models (LLMs) involve either scaling the number of parameters and the size of training data, or scaling inference computation by letting models generate complex chains …