Thinking into the Future: Latent Lookahead Training for Transformers

Researchers propose Latent Lookahead Training, a new method for training transformer language models that allows exploration of multiple token continuations rather than committing to single tokens at each step. The paper was accepted at ICLR 2026's Workshop on Latent & Implicit Thinking, addressing limitations in current autoregressive language model training approaches.