Neural Generation Meets Real People: Building a Social, Informative Open-Domain Dialogue Agent
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Abstract (arXiv)
We present Chirpy Cardinal, an open-domain social chatbot. Aiming to be both informative and conversational, our bot chats with users in an authentic, emotionally intelligent way. By integrating controlled neural generation with scaffolded, hand-written dialogue, we let both the user and bot take turns driving the conversation, producing an engaging and socially fluent experience. Deployed in the fourth iteration of the Alexa Prize Socialbot Grand Challenge, Chirpy Cardinal handled thousands of conversations per day, placing second out of nine bots with an average user rating of 3.58/5.
Key facts. Cited by 4 papers in the map (data through 7 Oct 2026). Builds on 44 of its 81 references that are in the map. First posted on arXiv 25 Jul 2022.
Builds on
44 of 81 references.
References · 44
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32 more
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Built on by
Citing papers per year: 2022: 1; 2023: 2; 2024: 0; 2025: 0; 2026: 1.
4 papers.
- 2023SUQL: Conversational Search over Structured and Unstructured Data with Large Language Modelscited by 13
- 2023Roll Up Your Sleeves: Working with a Collaborative and Engaging Task-Oriented Dialogue Systemcited by 5
- 2022DialGuide: Aligning Dialogue Model Behavior with Developer Guidelinescited by 3
- 2026DeepSAGE: Stage-Aware Reinforcement Learning for Structured CBT Counseling Dialoguecited by 0
- 2026DeepSAGE: Stage-Aware Reinforcement Learning for Structured CBT Counseling Dialogue23 Aug 2026
- 2023SUQL: Conversational Search over Structured and Unstructured Data with Large Language Models16 Nov 2023
- 2023Roll Up Your Sleeves: Working with a Collaborative and Engaging Task-Oriented Dialogue System29 Jul 2023
- 2022DialGuide: Aligning Dialogue Model Behavior with Developer Guidelines20 Dec 2022