ReacTOD: Bounded Neuro-Symbolic Agentic NLU for Zero-Shot Dialogue State Tracking

In three linesReacTOD combines neuro-symbolic and ReAct for task-oriented dialogue. A bounded ReAct loop with symbolic validation iteratively corrects dialogue errors (93.1% self-correction rate), eliminating hallucinations and format errors. On MultiWOZ 2.1: gpt-oss-20B reaches 52.71% JGA (+14pp), Qwen3-8B 47.34%. On SGD: Claude-Opus 80.68%, Qwen3-32B 64.09%.

Summary generated by Claude — human-verified