Zobrazeno 1 - 10
of 46
pro vyhledávání: '"BRAGG, JONATHAN"'
Autor:
Feng, K. J. Kevin, Pu, Kevin, Latzke, Matt, August, Tal, Siangliulue, Pao, Bragg, Jonathan, Weld, Daniel S., Zhang, Amy X., Chang, Joseph Chee
We present Cocoa, a system that implements a novel interaction design pattern -- interactive plans -- for users to collaborate with an AI agent on complex, multi-step tasks in a document editor. Cocoa harmonizes human and AI efforts and enables flexi
Externí odkaz:
http://arxiv.org/abs/2412.10999
AI agents are increasingly tasked with making proactive suggestions in online spaces where groups collaborate, but can be unhelpful or even annoying, due to not fitting the group's preferences or behaving in socially inappropriate ways. Fortunately,
Externí odkaz:
http://arxiv.org/abs/2411.02353
Autor:
Pu, Kevin, Feng, K. J. Kevin, Grossman, Tovi, Hope, Tom, Mishra, Bhavana Dalvi, Latzke, Matt, Bragg, Jonathan, Chang, Joseph Chee, Siangliulue, Pao
Research ideation involves broad exploring and deep refining ideas. Both require deep engagement with literature. Existing tools focus primarily on idea broad generation, yet offer little support for iterative specification, refinement, and evaluatio
Externí odkaz:
http://arxiv.org/abs/2410.04025
Research-paper blog posts help scientists to disseminate their work to a larger audience, but translating scientific long documents into long-form summaries like blog posts raises unique challenges: 1) planning what paper content to include in the bl
Externí odkaz:
http://arxiv.org/abs/2406.10370
Autor:
Lee, Yoonjoo, Kang, Hyeonsu B., Latzke, Matt, Kim, Juho, Bragg, Jonathan, Chang, Joseph Chee, Siangliulue, Pao
With the rapid growth of scholarly archives, researchers subscribe to "paper alert" systems that periodically provide them with recommendations of recently published papers that are similar to previously collected papers. However, researchers sometim
Externí odkaz:
http://arxiv.org/abs/2403.02939
Autor:
Soliman, Nouran, Kang, Hyeonsu B, Latzke, Matthew, Bragg, Jonathan, Chang, Joseph Chee, Zhang, Amy X., Karger, David R
In communities with social hierarchies, fear of judgment can discourage communication. While anonymity may alleviate some social pressure, fully anonymous spaces enable toxic behavior and hide the social context that motivates people to participate a
Externí odkaz:
http://arxiv.org/abs/2402.17847
Research consumption has been traditionally limited to the reading of academic papers-a static, dense, and formally written format. Alternatively, pre-recorded conference presentation videos, which are more dynamic, concise, and colloquial, have rece
Externí odkaz:
http://arxiv.org/abs/2308.15224
Publikováno v:
Transactions on Machine Learning Research (TMLR) 2023
Confounding is a significant obstacle to unbiased estimation of causal effects from observational data. For settings with high-dimensional covariates -- such as text data, genomics, or the behavioral social sciences -- researchers have proposed metho
Externí odkaz:
http://arxiv.org/abs/2307.15176
Autor:
D'Arcy, Mike, Ross, Alexis, Bransom, Erin, Kuehl, Bailey, Bragg, Jonathan, Hope, Tom, Downey, Doug
We introduce the task of automatically revising scientific papers based on peer feedback and release ARIES, a dataset of review comments and their corresponding paper edits. The data is drawn from real reviewer-author interactions from computer scien
Externí odkaz:
http://arxiv.org/abs/2306.12587
Autor:
Shen, Zejiang, August, Tal, Siangliulue, Pao, Lo, Kyle, Bragg, Jonathan, Hammerbacher, Jeff, Downey, Doug, Chang, Joseph Chee, Sontag, David
Large language models have introduced exciting new opportunities and challenges in designing and developing new AI-assisted writing support tools. Recent work has shown that leveraging this new technology can transform writing in many scenarios such
Externí odkaz:
http://arxiv.org/abs/2304.02623