Don't Commit Alone: Joint Token Commitment in Diffusion Language Models
The episode examines the paper 'Don't Commit Alone,' which addresses the flaw in current parallel token prediction methods that assume independence, leading to global incoherence. The solution, COCOMMIT, is a marker-gated coordination pass that forces related tokens to coordinate their predictions before commitment. This structural fix improves internal coherence and model reliability.