3 papers
cs.CL2026
Leveraging Turn-taking Dynamics for Intent Recognition in Multi-party Conversations
Galo Castillo-López, Alexis Lombard, Gaël de Chalendar +1
We propose a multi-task learning approach for multi-party dialogue intent recognition that leverages an auxiliary task that models turn-taking dynamics. Specifically, we introduce…
cs.CL2026
How DDAIR you? Disambiguated Data Augmentation for Intent Recognition
Galo Castillo-López, Alexis Lombard, Nasredine Semmar +1
Large Language Models (LLMs) are effective for data augmentation in classification tasks like intent detection. In some cases, they inadvertently produce examples that are ambiguou…
cs.CL2024
Benchmarks Underestimate the Readiness of Multi-lingual Dialogue Agents
Andrew H. Lee, Sina J. Semnani, Galo Castillo-López +16
Creating multilingual task-oriented dialogue (TOD) agents is challenging due to the high cost of training data acquisition. Following the research trend of improving training data…