4 accepted papers
Hallucination remains a key challenge in applying large language models (LLMs) to structured query generation, especially for semi-private or domain-specific languages underrepresented in public training data. In this work, we focus on hallucination detection in these low-resource structured languag
This paper tackles the challenges presented by Automatic Speech Recognition (ASR) errors in voice-based dialog systems, specifically, their adverse impact on Entity Resolution (ER) as a downstream task. Navigating the equilibrium between accuracy and online retrieval’s speed requirement proves chall…
In recent years, incorporating external knowledge for response generation in open-domain conversation systems has attracted great interest. To improve the relevancy of retrieved knowledge, we propose a neural entity linking (NEL) approach. Different from formal documents, such as news, conversationa…
In dialog systems, the Natural Language Understanding (NLU) component typically makes the interpretation decision (including domain, intent and slots) for an utterance before the mentioned entities are resolved. This may result in intent classification and slot tagging errors. In this work, we propo…