4 papers
Auto Review: Second Stage Error Detection for Highly Accurate Information Extraction from Phone Conversations
Ayesha Qamar, Arushi Raghuvanshi, Conal Sathi +1
Automating benefit verification phone calls saves time in healthcare and helps patients receive treatment faster. It is critical to obtain highly accurate information in these phon…
Multimodal Contextual Dialogue Breakdown Detection for Conversational AI Models
Md Messal Monem Miah, Ulie Schnaithmann, Arushi Raghuvanshi +1
Detecting dialogue breakdown in real time is critical for conversational AI systems, because it enables taking corrective action to successfully complete a task. In spoken dialog s…
Graph Integrated Language Transformers for Next Action Prediction in Complex Phone Calls
Amin Hosseiny Marani, Ulie Schnaithmann, Youngseo Son +3
Current Conversational AI systems employ different machine learning pipelines, as well as external knowledge sources and business logic to predict the next action. Maintaining vari…
Leveraging Explicit Procedural Instructions for Data-Efficient Action Prediction
Julia White, Arushi Raghuvanshi, Yada Pruksachatkun
Task-oriented dialogues often require agents to enact complex, multi-step procedures in order to meet user requests. While large language models have found success automating these…