9 citations · 12 across the 6 of their papers we have counts for
6 papers
Speech Retrieval-Augmented Generation without Automatic Speech Recognition
Do June Min, Karel Mundnich, Andy Lapastora +3
One common approach for question answering over speech data is to first transcribe speech using automatic speech recognition (ASR) and then employ text-based retrieval-augmented ge…
Dynamic Reward Adjustment in Multi-Reward Reinforcement Learning for Counselor Reflection Generation
Do June Min, Veronica Perez-Rosas, Kenneth Resnicow +1
In this paper, we study the problem of multi-reward reinforcement learning to jointly optimize for multiple text qualities for natural language generation. We focus on the task of…
Workflow-Guided Response Generation for Task-Oriented Dialogue
Do June Min, Paloma Sodhi, Ramya Ramakrishnan
Task-oriented dialogue (TOD) systems aim to achieve specific goals through interactive dialogue. Such tasks usually involve following specific workflows, i.e. executing a sequence…
VERVE: Template-based ReflectiVE Rewriting for MotiVational IntErviewing
Do June Min, Verónica Pérez-Rosas, Kenneth Resnicow +1
Reflective listening is a fundamental skill that counselors must acquire to achieve proficiency in motivational interviewing (MI). It involves responding in a manner that acknowled…
Has It All Been Solved? Open NLP Research Questions Not Solved by Large Language Models
Oana Ignat, Zhijing Jin, Artem Abzaliev +19
Recent progress in large language models (LLMs) has enabled the deployment of many generative NLP applications. At the same time, it has also led to a misleading public discourse t…
Adaptive Endpointing with Deep Contextual Multi-armed Bandits
Do June Min, Andreas Stolcke, Anirudh Raju +4
Current endpointing (EP) solutions learn in a supervised framework, which does not allow the model to incorporate feedback and improve in an online setting. Also, it is a common pr…