activity
20202025
most citedLeveraging Explicit Reasoning for Inference Integration in Commonsense-Augmented Dialogue Models

1 citations · 1 across the 9 of their papers we have counts for

collaborators

9 papers

cs.CL2025

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…

cs.CL2024★ 1 cited

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…

cs.CL2024

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…

cs.CL2023

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…

cs.CL2023

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…

cs.CL2022

Don't Forget Your ABC's: Evaluating the State-of-the-Art in Chat-Oriented Dialogue Systems

Sarah E. Finch, James D. Finch, Jinho D. Choi

Despite tremendous advancements in dialogue systems, stable evaluation still requires human judgments producing notoriously high-variance metrics due to their inherent subjectivity…

cs.CL2021

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…

cs.CL2021

An Approach to Inference-Driven Dialogue Management within a Social Chatbot

Sarah E. Finch, James D. Finch, Daniil Huryn +4

We present a chatbot implementing a novel dialogue management approach based on logical inference. Instead of framing conversation a sequence of response generation tasks, we model…

cs.CL2020

Towards Unified Dialogue System Evaluation: A Comprehensive Analysis of Current Evaluation Protocols

Sarah E. Finch, Jinho D. Choi

As conversational AI-based dialogue management has increasingly become a trending topic, the need for a standardized and reliable evaluation procedure grows even more pressing. The…