Thilo Hagendorff

Benchmarking latent-space reasoning abilities in large language models through forced response-language selection

Abstract Large language models (LLMs) can perform reasoning computations both internally within their latent space and externally by generating explicit token sequences like chains of thought. Significant progress in enhancing reasoning abilities has been made by scaling test-tim...