Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Chung, John Joon Young"'
Autor:
Chung, John Joon Young, Kreminski, Max
Large language models (LLMs) can help writers build story worlds by generating world elements, such as factions, characters, and locations. However, making sense of many generated elements can be overwhelming. Moreover, if the user wants to precisely
Externí odkaz:
http://arxiv.org/abs/2408.04112
Autor:
Lee, Yoonjoo, Son, Kihoon, Kim, Tae Soo, Kim, Jisu, Chung, John Joon Young, Adar, Eytan, Kim, Juho
As Large Language Models (LLMs) are nondeterministic, the same input can generate different outputs, some of which may be incorrect or hallucinated. If run again, the LLM may correct itself and produce the correct answer. Unfortunately, most LLM-powe
Externí odkaz:
http://arxiv.org/abs/2405.05581
Autor:
Lee, Mina, Gero, Katy Ilonka, Chung, John Joon Young, Shum, Simon Buckingham, Raheja, Vipul, Shen, Hua, Venugopalan, Subhashini, Wambsganss, Thiemo, Zhou, David, Alghamdi, Emad A., August, Tal, Bhat, Avinash, Choksi, Madiha Zahrah, Dutta, Senjuti, Guo, Jin L. C., Hoque, Md Naimul, Kim, Yewon, Knight, Simon, Neshaei, Seyed Parsa, Sergeyuk, Agnia, Shibani, Antonette, Shrivastava, Disha, Shroff, Lila, Stark, Jessi, Sterman, Sarah, Wang, Sitong, Bosselut, Antoine, Buschek, Daniel, Chang, Joseph Chee, Chen, Sherol, Kreminski, Max, Park, Joonsuk, Pea, Roy, Rho, Eugenia H., Shen, Shannon Zejiang, Siangliulue, Pao
In our era of rapid technological advancement, the research landscape for writing assistants has become increasingly fragmented across various research communities. We seek to address this challenge by proposing a design space as a structured way to
Externí odkaz:
http://arxiv.org/abs/2403.14117
Generative AI has the potential to create a new form of interactive media: AI-bridged creative language arts (CLA), which bridge the author and audience by personalizing the author's vision to the audience's context and taste at scale. However, it is
Externí odkaz:
http://arxiv.org/abs/2403.00439
Graphic designers often get inspiration through the recombination of references. Our formative study (N=6) reveals that graphic designers focus on conceptual keywords during this process, and want support for discovering the keywords, expanding them,
Externí odkaz:
http://arxiv.org/abs/2312.11949
Autor:
Chung, John Joon Young, Adar, Eytan
While diffusion-based text-to-image (T2I) models provide a simple and powerful way to generate images, guiding this generation remains a challenge. For concepts that are difficult to describe through language, users may struggle to create prompts. Mo
Externí odkaz:
http://arxiv.org/abs/2308.05184
Large language models (LLMs) can be used to generate text data for training and evaluating other models. However, creating high-quality datasets with LLMs can be challenging. In this work, we explore human-AI partnerships to facilitate high diversity
Externí odkaz:
http://arxiv.org/abs/2306.04140
Creating stylized visualization requires going beyond the limited, abstract, geometric marks produced by most tools. Rather, the designer builds stylized idioms where the marks are both transformed (e.g., photographs of candles instead of bars) and a
Externí odkaz:
http://arxiv.org/abs/2304.01919
Autor:
Han, Dongyoon, Choe, Junsuk, Chun, Seonghyeok, Chung, John Joon Young, Chang, Minsuk, Yun, Sangdoo, Song, Jean Y., Oh, Seong Joon
Supervised learning of image classifiers distills human knowledge into a parametric model through pairs of images and corresponding labels (X,Y). We argue that this simple and widely used representation of human knowledge neglects rich auxiliary info
Externí odkaz:
http://arxiv.org/abs/2303.17595