Length Value Model is a token-level framework that predicts remaining generation length during decoding. The method frames length modeling as a value estimation problem by applying constant negative rewards at each decoding step. This approach gives developers fine-grained control over inference costs and reasoning performance compared to traditional sequence-level methods.
Opening Kapyn…