dailyai.report

The LACE framework replaces isolated reasoning paths with a coordinated process using cross-thread attention. It utilizes a synthetic data pipeline to teach models how to share intermediate insights and correct errors during inference. This architecture prevents redundant failures common in parallel sampling. Practitioners can now synchronize multiple reasoning trajectories to improve accuracy.