Zobrazeno 1 - 10
of 4 379
pro vyhledávání: '"Vered P."'
Publikováno v:
Технологія виробництва і переробки продуктів тваринництва, Vol 2, Iss 166, Pp 78-85 (2021)
The Ros River is polluted with heavy metals, petroleumproducts and organic matter due to the activities of variousindustries, including agriculture (washing away pesticides and fertilizers), food, light and petrochemical industries, etc.Intake of dri
Externí odkaz:
https://doaj.org/article/bc9acbb52f6c405b830e276ced0555da
Autor:
Alavi, Seyed Hossein, Xu, Weijia, Jojic, Nebojsa, Kennett, Daniel, Ng, Raymond T., Rao, Sudha, Zhang, Haiyan, Dolan, Bill, Shwartz, Vered
We introduce GamePlot, an LLM-powered assistant that supports game designers in crafting immersive narratives for turn-based games, and allows them to test these games through a collaborative game play and refine the plot throughout the process. Our
Externí odkaz:
http://arxiv.org/abs/2411.02714
Autor:
Alavi, Seyed Hossein, Rao, Sudha, Adhikari, Ashutosh, DesGarennes, Gabriel A, Malhotra, Akanksha, Brockett, Chris, Adada, Mahmoud, Ng, Raymond T., Shwartz, Vered, Dolan, Bill
We propose a novel approach that uses large language models (LLMs) to generate persona-driven conversations between Players and Non-Player Characters (NPC) in games. Showcasing the application of our methodology, we introduce the Minecraft Persona-dr
Externí odkaz:
http://arxiv.org/abs/2410.21627
Facial expression recognition (FER) has emerged as a promising approach to the development of emotion-aware intelligent systems. The performance of FER in multiple domains is continuously being improved, especially through advancements in data-driven
Externí odkaz:
http://arxiv.org/abs/2410.09743
Curating datasets that span multiple languages is challenging. To make the collection more scalable, researchers often incorporate one or more imperfect classifiers in the process, like language identification models. These models, however, are prone
Externí odkaz:
http://arxiv.org/abs/2410.04292
To explain social phenomena and identify systematic biases, much research in computational social science focuses on comparative text analyses. These studies often rely on coarse corpus-level statistics or local word-level analyses, mainly in English
Externí odkaz:
http://arxiv.org/abs/2410.04282
Autor:
Chiu, Yu Ying, Jiang, Liwei, Lin, Bill Yuchen, Park, Chan Young, Li, Shuyue Stella, Ravi, Sahithya, Bhatia, Mehar, Antoniak, Maria, Tsvetkov, Yulia, Shwartz, Vered, Choi, Yejin
To make large language models (LLMs) more helpful across diverse cultures, it is essential to have effective cultural knowledge benchmarks to measure and track our progress. Effective benchmarks need to be robust, diverse, and challenging. We introdu
Externí odkaz:
http://arxiv.org/abs/2410.02677
In this paper, we study the task of detecting the edge dependency between two weighted random graphs. We formulate this task as a simple hypothesis testing problem, where under the null hypothesis, the two observed graphs are statistically independen
Externí odkaz:
http://arxiv.org/abs/2409.14870
Goal recognition (GR) involves inferring an agent's unobserved goal from a sequence of observations. This is a critical problem in AI with diverse applications. Traditionally, GR has been addressed using 'inference to the best explanation' or abducti
Externí odkaz:
http://arxiv.org/abs/2409.11675
Autor:
Cai, Zhixi, Cardenas, Cristian Rojas, Leo, Kevin, Zhang, Chenyuan, Backman, Kal, Li, Hanbing, Li, Boying, Ghorbanali, Mahsa, Datta, Stavya, Qu, Lizhen, Santiago, Julian Gutierrez, Ignatiev, Alexey, Li, Yuan-Fang, Vered, Mor, Stuckey, Peter J, de la Banda, Maria Garcia, Rezatofighi, Hamid
This paper addresses the problem of autonomous UAV search missions, where a UAV must locate specific Entities of Interest (EOIs) within a time limit, based on brief descriptions in large, hazard-prone environments with keep-out zones. The UAV must pe
Externí odkaz:
http://arxiv.org/abs/2409.10196