Tag
Context-Agent proposes a novel framework that models multi-turn dialogue history as dynamic tree structures rather than flat sequences, better capturing the hierarchical and branching nature of natural conversation. The paper introduces the NTM benchmark for evaluating non-linear dialogue scenarios and demonstrates improved task completion rates and token efficiency across various LLMs.