no code implementations • 13 Jan 2024 • Christopher Clarke, Karthik Krishnamurthy, Walter Talamonti, Yiping Kang, Lingjia Tang, Jason Mars
Conversational agents have been gaining increasing popularity in recent years.
1 code implementation • 20 Dec 2023 • Chandra Irugalbandara, Ashish Mahendra, Roland Daynauth, Tharuka Kasthuri Arachchige, Jayanaka Dantanarayana, Krisztian Flautner, Lingjia Tang, Yiping Kang, Jason Mars
Many companies use large language models (LLMs) offered as a service, like OpenAI's GPT-4, to create AI-enabled product experiences.
1 code implementation • 25 May 2023 • Christopher Clarke, Yuzhao Heng, Yiping Kang, Krisztian Flautner, Lingjia Tang, Jason Mars
In addition, depending on the aspect (sentiment, topic, etc.)
no code implementations • 17 May 2023 • Jason Mars, Yiping Kang, Roland Daynauth, Baichuan Li, Ashish Mahendra, Krisztian Flautner, Lingjia Tang
Today's production scale-out applications include many sub-application components, such as storage backends, logging infrastructure and AI models.
1 code implementation • Findings (ACL) 2022 • Christopher Clarke, Joseph Joshua Peper, Karthik Krishnamurthy, Walter Talamonti, Kevin Leach, Walter Lasecki, Yiping Kang, Lingjia Tang, Jason Mars
To address these problems, we introduce a new task BBAI: Black-Box Agent Integration, focusing on combining the capabilities of multiple black-box CAs at scale.
Ranked #1 on Multi-agent Integration on BBAI Dataset
Conversational Response Selection Multi-agent Integration +1
no code implementations • 13 Mar 2022 • Yiping Kang, Ashish Mahendra, Christopher Clarke, Lingjia Tang, Jason Mars
Personalized Intelligence (PI) is the problem of providing customized AI experiences tailored to each individual user.
no code implementations • NAACL 2018 • Yiping Kang, Yunqi Zhang, Jonathan K. Kummerfeld, Lingjia Tang, Jason Mars
In this paper, we present a study of crowdsourcing methods for a user intent classification task in our deployed dialogue system.