Zobrazeno 1 - 10
of 29
pro vyhledávání: '"Cai, Carrie J"'
Autor:
Petridis, Savvas, Liu, Michael Xieyang, Fiannaca, Alexander J., Tsai, Vivian, Terry, Michael, Cai, Carrie J.
Recent advances in multimodal large language models (LLMs) have made it easier to rapidly prototype AI-powered features, especially for mobile use cases. However, gathering early, mobile-situated user feedback on these AI prototypes remains challengi
Externí odkaz:
http://arxiv.org/abs/2405.03806
Autor:
Liu, Michael Xieyang, Liu, Frederick, Fiannaca, Alexander J., Koo, Terry, Dixon, Lucas, Terry, Michael, Cai, Carrie J.
Publikováno v:
"We Need Structured Output": Towards User-centered Constraints on LLM Output. In Extended Abstracts of the CHI Conference on Human Factors in Computing Systems (CHI EA '24), May 11-16, 2024, Honolulu, HI, USA
Large language models can produce creative and diverse responses. However, to integrate them into current developer workflows, it is essential to constrain their outputs to follow specific formats or standards. In this work, we surveyed 51 experience
Externí odkaz:
http://arxiv.org/abs/2404.07362
Prototyping AI applications is notoriously difficult. While large language model (LLM) prompting has dramatically lowered the barriers to AI prototyping, designers are still prototyping AI functionality and UI separately. We investigate how coupling
Externí odkaz:
http://arxiv.org/abs/2310.15435
Autor:
Petridis, Savvas, Wedin, Ben, Wexler, James, Donsbach, Aaron, Pushkarna, Mahima, Goyal, Nitesh, Cai, Carrie J., Terry, Michael
Large language model (LLM) prompting is a promising new approach for users to create and customize their own chatbots. However, current methods for steering a chatbot's outputs, such as prompt engineering and fine-tuning, do not support users in conv
Externí odkaz:
http://arxiv.org/abs/2310.15428
Publikováno v:
NeurIps 2022 Human-Centered AI Workshop
Card et al.'s classic paper "The Design Space of Input Devices" established the value of design spaces as a tool for HCI analysis and invention. We posit that developing design spaces for emerging pre-trained, generative AI models is necessary for su
Externí odkaz:
http://arxiv.org/abs/2304.10547
Autor:
Park, Joon Sung, O'Brien, Joseph C., Cai, Carrie J., Morris, Meredith Ringel, Liang, Percy, Bernstein, Michael S.
Believable proxies of human behavior can empower interactive applications ranging from immersive environments to rehearsal spaces for interpersonal communication to prototyping tools. In this paper, we introduce generative agents--computational softw
Externí odkaz:
http://arxiv.org/abs/2304.03442
Autor:
Park, Joon Sung, Popowski, Lindsay, Cai, Carrie J., Morris, Meredith Ringel, Liang, Percy, Bernstein, Michael S.
Social computing prototypes probe the social behaviors that may arise in an envisioned system design. This prototyping practice is currently limited to recruiting small groups of people. Unfortunately, many challenges do not arise until a system is p
Externí odkaz:
http://arxiv.org/abs/2208.04024
Autor:
Wu, Tongshuang, Jiang, Ellen, Donsbach, Aaron, Gray, Jeff, Molina, Alejandra, Terry, Michael, Cai, Carrie J
While LLMs can effectively help prototype single ML functionalities, many real-world applications involve complex tasks that cannot be easily handled via a single run of an LLM. Recent work has found that chaining multiple LLM runs together (with the
Externí odkaz:
http://arxiv.org/abs/2203.06566
Although large language models (LLMs) have demonstrated impressive potential on simple tasks, their breadth of scope, lack of transparency, and insufficient controllability can make them less effective when assisting humans on more complex tasks. In
Externí odkaz:
http://arxiv.org/abs/2110.01691
Autor:
Huang, Cheng-Zhi Anna, Koops, Hendrik Vincent, Newton-Rex, Ed, Dinculescu, Monica, Cai, Carrie J.
Publikováno v:
ISMIR 2020
Machine learning is challenging the way we make music. Although research in deep generative models has dramatically improved the capability and fluency of music models, recent work has shown that it can be challenging for humans to partner with this
Externí odkaz:
http://arxiv.org/abs/2010.05388