task-oriented-dialogue

ReacTOD proposes a bounded neuro-symbolic architecture for zero-shot dialogue state tracking, using a self-correcting ReAct loop with deterministic validation. It achieves state-of-the-art results on MultiWOZ and Schema-Guided Dialogue benchmarks, improving joint goal accuracy by up to 14 percentage points.