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The recent advent of large language models (LLM) has resulted in high-performing conversational agents such as chatGPT.
Language models are few-shot learners
Tom Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared D Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, et al · 1901
Earlier work this paper cites.
Contributing to discourse
Herbert H Clark and Edward F Schaefer. 1989 · 1989
Earlier work this paper cites.
An experimental study of common ground in text-based communication. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems . 209–215
John C McCarthy, Victoria C Miles, and Andrew F Monk. 1991 · 1991
Earlier work this paper cites.
Toolglass and magic lenses: the see-through interface. In Proceedings of the 20th annual conference on Computer graphics and interactive techniques . 73–80
Eric A Bier, Maureen C Stone, Ken Pier, William Buxton, and Tony D DeRose. 1993 · 1993
Earlier work this paper cites.
Local tools: An alternative to tool palettes. In Proceedings of the 9th annual ACM symposium on User interface software and technology . 169–170
Benjamin B Bederson, James D Hollan, Allison Druin, Jason Stewart, David Rogers, and David Proft. 1996 · 1996
Earlier work this paper cites.
Principles of Mixed-Initiative User Interfaces. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (Pittsburgh, Pennsylvania, USA) (CHI ’99) . Association for Computing Machinery, New York, NY, USA, 159–166
Eric Horvitz. 1999 · 1999
Earlier work this paper cites.
Object-oriented drawing. In Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems . 4610–4621
Haijun Xia, Bruno Araujo, Tovi Grossman, and Daniel Wigdor. 2016 · 2016
Earlier work this paper cites.
Bringing transparency design into practice. In 23rd international conference on intelligent user interfaces . 211–223
Malin Eiband, Hanna Schneider, Mark Bilandzic, Julian Fazekas-Con, Mareike Haug, and Heinrich Hussmann. 2018 · 2018
Earlier work this paper cites.
Agency plus automation: Designing artificial intelligence into interactive systems
Jeffrey Heer. 2019 · 2019
Cited alongside, same era.
Considerations on explainable AI and users’ mental models. In CHI 2019 Workshop: Where is the Human? Bridging the Gap Between AI and HCI . Association for Computing Machinery, Inc
Heleen Rutjes, Martijn Willemsen, and Wijnand IJsselsteijn. 2019 · 2019
Cited alongside, same era.
Effect of confidence and explanation on accuracy and trust calibration in AI-assisted decision making. In Proceedings of the 2020 conference on fairness, accountability, and transparency . 295–305
Yunfeng Zhang, Q Vera Liao, and Rachel KE Bellamy. 2020 · 2020
Cited alongside, same era.
One chatbot per person: Creating personalized chatbots based on implicit user profiles. In Proceedings of the 44th international ACM SIGIR conference on research and development in information retrieval . 555–564
Zhengyi Ma, Zhicheng Dou, Yutao Zhu, Hanxun Zhong, and Ji-Rong Wen. 2021 · 2021
Cited alongside, same era.
Ai chains: Transparent and controllable human-ai interaction by chaining large language model prompts. In Proceedings of the 2022 CHI conference on human factors in computing systems
Tongshuang Wu, Michael Terry, and Carrie Jun Cai. 2022 · 2022
Later among the works it cites.
Long Time No See! Open-Domain Conversation with Long-Term Persona Memory. In Findings of the Association for Computational Linguistics: ACL 2022 . Association for Computational Linguistics, Dublin, Ireland, 2639–2650
Xinchao Xu, Zhibin Gou, Wenquan Wu, Zheng-Yu Niu, Hua Wu, Haifeng Wang, and Shihang Wang. 2022 · 2022
Later among the works it cites.
Less is more: Learning to refine dialogue history for personalized dialogue generation
Hanxun Zhong, Zhicheng Dou, Yutao Zhu, Hongjin Qian, and Ji-Rong Wen. 2022 · 2022
Later among the works it cites.
CausalMapper: Challenging designers to think in systems with Causal Maps and Large Language Model. In Proceedings of the 15th Conference on Creativity and Cognition . 325–329
Ziheng Huang, Kexin Quan, Joel Chan, and Stephen MacNeil. 2023 · 2023
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Cited alongside, same era.
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Cited alongside, same era.
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Cited alongside, same era.
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Cited alongside, same era.
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