4 papers
Dynamic Knowledge Fusion for Multi-Domain Dialogue State Tracking
Haoxiang Su, Ruiyu Fang, Liting Jiang +2
The performance of task-oriented dialogue models is strongly tied to how well they track dialogue states, which records and updates user information across multi-turn interactions.…
A benchmark for joint dialogue satisfaction, emotion recognition, and emotion state transition prediction
Jing Bian, Haoxiang Su, Liting Jiang +6
User satisfaction is closely related to enterprises, as it not only directly reflects users' subjective evaluation of service quality or products, but also affects customer loyalty…
Introducing Visual Scenes and Reasoning: A More Realistic Benchmark for Spoken Language Understanding
Di Wu, Liting Jiang, Ruiyu Fang +7
Spoken Language Understanding (SLU) consists of two sub-tasks: intent detection (ID) and slot filling (SF). Given its broad range of real-world applications, enhancing SLU for prac…
Mitigating Spurious Correlations Between Question and Answer via Chain-of-Thought Correctness Perception Distillation
Hongyan Xie, Yitong Yao, Yikun Ban +6
Large language models (LLMs) excel at reasoning tasks but are expensive to deploy. Thus small language models (SLMs) are fine-tuned on CoT data generated by LLMs to copy LLMs' abil…