Task-oriented Dialogue Systems: performance vs. quality-optima, a review
원문 초록
Task-oriented dialogue systems (TODS) are continuing to rise in popularity as various industries find ways to effectively harness their capabilities, saving both time and money. However, even state-of-the-art TODS are not yet reaching their full potential. TODS typically have a primary design focus on completing the task at hand, so the metric of task-resolution should take priority. Other conversational quality attributes that may point to the success, or otherwise, of the dialogue, may be ignored. This can cause interactions between human and dialogue system that leave the user dissatisfied or frustrated. This paper explores the literature on evaluative frameworks of dialogue systems and the role of conversational quality attributes in dialogue systems, looking at if, how, and where they are utilised, and examining their correlation with the performance of the dialogue system.
함께 살펴볼 논문
공통 태그를 근거로 연결했습니다. 실제 인용 관계나 논문의 우수성을 뜻하지 않습니다.
WHEN TO ACT, WHEN TO WAIT: Modeling Structural Trajectories for Intent Triggerability in Task-Oriented Dialogue
EnSToM: Enhancing Dialogue Systems with Entropy-Scaled Steering Vectors for Topic Maintenance
LANID: LLM-assisted New Intent Discovery
Leveraging Graph Structures and Large Language Models for End-to-End Synthetic Task-Oriented Dialogues
Pseudo-Label Enhanced Prototypical Contrastive Learning for Uniformed Intent Discovery
Confidence Estimation for LLM-Based Dialogue State Tracking
토론
이 논문과 연결된 포럼 글이 아직 없습니다.