3 papers
cs.CL2026
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.…
cs.CL2025
Multi-Intent Spoken Language Understanding: Methods, Trends, and Challenges
Di Wu, Ruiyu Fang, Liting Jiang +8
Multi-intent spoken language understanding (SLU) involves two tasks: multiple intent detection and slot filling, which jointly handle utterances containing more than one intent. Ow…
cs.AI2025
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…