activity
20242026
most citedLeveraging Explicit Reasoning for Inference Integration in Commonsense-Augmented Dialogue Models

1 citations · 1 across the 5 of their papers we have counts for

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5 papers

cs.CL2026

Why Are We Lonely? Leveraging LLMs to Measure and Understand Loneliness in Caregivers and Non-caregivers

Michelle Damin Kim, Ellie S. Paek, Yufen Lin +3

This paper presents an LLM-driven approach for constructing diverse social media datasets to measure and compare loneliness in the caregiver and non-caregiver populations. We intro…

cs.HC2026

Tinker Tales: A Tangible Dialogue System for Child-AI Co-Creative Storytelling

Nayoung Choi, Jiseung Hong, Peace Cyebukayire +2

Conversational AI agents are increasingly explored as creative partners, yet how conversation design shapes child-AI dialogue in co-creative settings remains underexplored. We pres…

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…