Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Quaye, Jessica"'
Autor:
Jin, Claire, Rao, Sudha, Peng, Xiangyu, Botchway, Portia, Quaye, Jessica, Brockett, Chris, Dolan, Bill
Advancements in large language models (LLMs) are revolutionizing interactive game design, enabling dynamic plotlines and interactions between players and non-player characters (NPCs). However, LLMs may exhibit flaws such as hallucinations, forgetfuln
Externí odkaz:
http://arxiv.org/abs/2406.04482
Autor:
Peng, Xiangyu, Quaye, Jessica, Rao, Sudha, Xu, Weijia, Botchway, Portia, Brockett, Chris, Jojic, Nebojsa, DesGarennes, Gabriel, Lobb, Ken, Xu, Michael, Leandro, Jorge, Jin, Claire, Dolan, Bill
Publikováno v:
IEEE Conference on Games 2024
We explore how interaction with large language models (LLMs) can give rise to emergent behaviors, empowering players to participate in the evolution of game narratives. Our testbed is a text-adventure game in which players attempt to solve a mystery
Externí odkaz:
http://arxiv.org/abs/2404.17027
Autor:
Quaye, Jessica, Parrish, Alicia, Inel, Oana, Rastogi, Charvi, Kirk, Hannah Rose, Kahng, Minsuk, van Liemt, Erin, Bartolo, Max, Tsang, Jess, White, Justin, Clement, Nathan, Mosquera, Rafael, Ciro, Juan, Reddi, Vijay Janapa, Aroyo, Lora
With the rise of text-to-image (T2I) generative AI models reaching wide audiences, it is critical to evaluate model robustness against non-obvious attacks to mitigate the generation of offensive images. By focusing on ``implicitly adversarial'' promp
Externí odkaz:
http://arxiv.org/abs/2403.12075
Autor:
Parrish, Alicia, Kirk, Hannah Rose, Quaye, Jessica, Rastogi, Charvi, Bartolo, Max, Inel, Oana, Ciro, Juan, Mosquera, Rafael, Howard, Addison, Cukierski, Will, Sculley, D., Reddi, Vijay Janapa, Aroyo, Lora
The generative AI revolution in recent years has been spurred by an expansion in compute power and data quantity, which together enable extensive pre-training of powerful text-to-image (T2I) models. With their greater capabilities to generate realist
Externí odkaz:
http://arxiv.org/abs/2305.14384
Autor:
Quaye, Jessica A.
The Internet of Things (popularly referred to as "IoT") has revolutionized our daily lives with widespread access to devices such as smart watches, voice-controlled virtual assistants, smart security systems, among others. Many of these devices are r
Externí odkaz:
https://hdl.handle.net/1721.1/145069
Autor:
Mazumder, Mark, Banbury, Colby, Yao, Xiaozhe, Karlaš, Bojan, Rojas, William Gaviria, Diamos, Sudnya, Diamos, Greg, He, Lynn, Parrish, Alicia, Kirk, Hannah Rose, Quaye, Jessica, Rastogi, Charvi, Kiela, Douwe, Jurado, David, Kanter, David, Mosquera, Rafael, Ciro, Juan, Aroyo, Lora, Acun, Bilge, Chen, Lingjiao, Raje, Mehul Smriti, Bartolo, Max, Eyuboglu, Sabri, Ghorbani, Amirata, Goodman, Emmett, Inel, Oana, Kane, Tariq, Kirkpatrick, Christine R., Kuo, Tzu-Sheng, Mueller, Jonas, Thrush, Tristan, Vanschoren, Joaquin, Warren, Margaret, Williams, Adina, Yeung, Serena, Ardalani, Newsha, Paritosh, Praveen, Bat-Leah, Lilith, Zhang, Ce, Zou, James, Wu, Carole-Jean, Coleman, Cody, Ng, Andrew, Mattson, Peter, Reddi, Vijay Janapa
Machine learning research has long focused on models rather than datasets, and prominent datasets are used for common ML tasks without regard to the breadth, difficulty, and faithfulness of the underlying problems. Neglecting the fundamental importan
Externí odkaz:
http://arxiv.org/abs/2207.10062