Zobrazeno 1 - 10
of 133
pro vyhledávání: '"Kulkarni, Chinmay"'
Contributors to open source software packages often describe feeling discouraged by the lack of positive feedback from users. This paper describes a technology probe, Hug Reports, that provides users a communication affordance within their code edito
Externí odkaz:
http://arxiv.org/abs/2407.20390
Prompt-based interfaces for Large Language Models (LLMs) have made prototyping and building AI-powered applications easier than ever before. However, identifying potential harms that may arise from AI applications remains a challenge, particularly du
Externí odkaz:
http://arxiv.org/abs/2402.15350
Autor:
Park, Soya, Kulkarni, Chinmay
We introduce the concept of "thinking assistants", an approach that encourages users to engage in deep reflection and critical thinking through brainstorming and thought-provoking queries. We instantiate one such thinking assistant, Gradschool.chat,
Externí odkaz:
http://arxiv.org/abs/2312.06024
Autor:
Ma, Xiao, Mishra, Swaroop, Liu, Ariel, Su, Sophie, Chen, Jilin, Kulkarni, Chinmay, Cheng, Heng-Tze, Le, Quoc, Chi, Ed
Large language model (LLM) powered chatbots are primarily text-based today, and impose a large interactional cognitive load, especially for exploratory or sensemaking tasks such as planning a trip or learning about a new city. Because the interaction
Externí odkaz:
http://arxiv.org/abs/2312.00763
AI alignment considers the overall problem of ensuring an AI produces desired outcomes, without undesirable side effects. While often considered from the perspectives of safety and human values, AI alignment can also be considered in the context of d
Externí odkaz:
http://arxiv.org/abs/2311.00710
Autor:
Oliveira, Miguel AP, Manara, Stephane, Molé, Bruno, Muller, Thomas, Guillouche, Aurélien, Hesske, Lysann, Jordan, Bruce, Hubert, Gilles, Kulkarni, Chinmay, Jagdev, Pralipta, Berger, Cedric R.
Individuals and organizations cope with an always-growing amount of data, which is heterogeneous in its contents and formats. An adequate data management process yielding data quality and control over its lifecycle is a prerequisite to getting value
Externí odkaz:
http://arxiv.org/abs/2311.02082
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:
Kulkarni, Chinmay, Druga, Stefania, Chang, Minsuk, Fiannaca, Alex, Cai, Carrie, Terry, Michael
Recent advances in Machine-Learning have led to the development of models that generate images based on a text description.Such large prompt-based text to image models (TTIs), trained on a considerable amount of data, allow the creation of high-quali
Externí odkaz:
http://arxiv.org/abs/2303.12647
Autor:
Chang, Minsuk, Druga, Stefania, Fiannaca, Alex, Vergani, Pedro, Kulkarni, Chinmay, Cai, Carrie, Terry, Michael
This paper examines the art practices, artwork, and motivations of prolific users of the latest generation of text-to-image models. Through interviews, observations, and a user survey, we present a sampling of the artistic styles and describe the dev
Externí odkaz:
http://arxiv.org/abs/2303.12253
Initiating conversations with new people at work is often intimidating because of uncertainty about their interests. People worry others may reject their attempts to initiate conversation or that others may not enjoy the conversation. We introduce a
Externí odkaz:
http://arxiv.org/abs/2302.02223