8 papers · 1 filter
Finding A Voice: Exploring the Potential of African American Dialect and Voice Generation for Chatbots
Sarah E. Finch, Ellie S. Paek, Ikseon Choi +1
As chatbots become integral to daily life, personalizing systems is key for fostering trust, engagement, and inclusivity. This study examines how linguistic similarity affects chat…
Leveraging Explicit Reasoning for Inference Integration in Commonsense-Augmented Dialogue Models
Sarah E. Finch, Jinho D. Choi
Open-domain dialogue systems need to grasp social commonsense to understand and respond effectively to human users. Commonsense-augmented dialogue models have been proposed that ai…
ConvoSense: Overcoming Monotonous Commonsense Inferences for Conversational AI
Sarah E. Finch, Jinho D. Choi
Mastering commonsense understanding and reasoning is a pivotal skill essential for conducting engaging conversations. While there have been several attempts to create datasets that…
Exploring the Impact of Human Evaluator Group on Chat-Oriented Dialogue Evaluation
Sarah E. Finch, James D. Finch, Jinho D. Choi
Human evaluation has been widely accepted as the standard for evaluating chat-oriented dialogue systems. However, there is a significant variation in previous work regarding who ge…
Leveraging Large Language Models for Automated Dialogue Analysis
Sarah E. Finch, Ellie S. Paek, Jinho D. Choi
Developing high-performing dialogue systems benefits from the automatic identification of undesirable behaviors in system responses. However, detecting such behaviors remains chall…
What Went Wrong? Explaining Overall Dialogue Quality through Utterance-Level Impacts
James D. Finch, Sarah E. Finch, Jinho D. Choi
Improving user experience of a dialogue system often requires intensive developer effort to read conversation logs, run statistical analyses, and intuit the relative importance of…