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pro vyhledávání: '"P Bain"'
Autor:
Dutta, Biswanath, Bain, Debanjali
Publikováno v:
Journal of Information and Knowledge, Vol. 61, no. 5, pp. 245-253 (2024)
Artificial intelligence (AI) has become indispensable for managing and processing the vast amounts of data generated during the COVID-19 pandemic. Ontology, which formalizes knowledge within a domain using standardized vocabularies and relationships,
Externí odkaz:
http://arxiv.org/abs/2411.02423
Autor:
Bain, Nicolas, Wilen, Lawrence A., Gerber, Dominic, Zu, Mengjie, Goodrich, Carl P., Duraivel, Senthilkumar, Varma, Kaarthik, Koganti, Harsha, Style, Robert W., Dufresne, Eric R.
The softer a material is, the more its mechanics are sensitive to interfaces. In soft gels, an elastic polymeric network is filled with free-flowing molecules. In theory, either of these components could dominate the material interfacial properties.
Externí odkaz:
http://arxiv.org/abs/2410.09158
Autor:
Xie, Junyu, Han, Tengda, Bain, Max, Nagrani, Arsha, Varol, Gül, Xie, Weidi, Zisserman, Andrew
Our objective is to generate Audio Descriptions (ADs) for both movies and TV series in a training-free manner. We use the power of off-the-shelf Visual-Language Models (VLMs) and Large Language Models (LLMs), and develop visual and text prompting str
Externí odkaz:
http://arxiv.org/abs/2407.15850
Autor:
Hua, Yuncheng, Huang, Yujin, Huang, Shuo, Feng, Tao, Qu, Lizhen, Bain, Chris, Bassed, Richard, Haffari, Gholamreza
This paper tackles the task of emotion-cause pair extraction in the unsupervised domain adaptation setting. The problem is challenging as the distributions of the events causing emotions in target domains are dramatically different than those in sour
Externí odkaz:
http://arxiv.org/abs/2406.15490
Autor:
Padlewski, Piotr, Bain, Max, Henderson, Matthew, Zhu, Zhongkai, Relan, Nishant, Pham, Hai, Ong, Donovan, Aleksiev, Kaloyan, Ormazabal, Aitor, Phua, Samuel, Yeo, Ethan, Lamprecht, Eugenie, Liu, Qi, Wang, Yuqi, Chen, Eric, Fu, Deyu, Li, Lei, Zheng, Che, d'Autume, Cyprien de Masson, Yogatama, Dani, Artetxe, Mikel, Tay, Yi
We introduce Vibe-Eval: a new open benchmark and framework for evaluating multimodal chat models. Vibe-Eval consists of 269 visual understanding prompts, including 100 of hard difficulty, complete with gold-standard responses authored by experts. Vib
Externí odkaz:
http://arxiv.org/abs/2405.02287
Mapping traversal costs in an environment and planning paths based on this map are important for autonomous navigation. We present a neurobotic navigation system that utilizes a Spiking Neural Network Wavefront Planner and E-prop learning to concurre
Externí odkaz:
http://arxiv.org/abs/2404.15524
Generating Audio Description (AD) for movies is a challenging task that requires fine-grained visual understanding and an awareness of the characters and their names. Currently, visual language models for AD generation are limited by a lack of suitab
Externí odkaz:
http://arxiv.org/abs/2404.14412
Autor:
Reka Team, Ormazabal, Aitor, Zheng, Che, d'Autume, Cyprien de Masson, Yogatama, Dani, Fu, Deyu, Ong, Donovan, Chen, Eric, Lamprecht, Eugenie, Pham, Hai, Ong, Isaac, Aleksiev, Kaloyan, Li, Lei, Henderson, Matthew, Bain, Max, Artetxe, Mikel, Relan, Nishant, Padlewski, Piotr, Liu, Qi, Chen, Ren, Phua, Samuel, Yang, Yazheng, Tay, Yi, Wang, Yuqi, Zhu, Zhongkai, Xie, Zhihui
We introduce Reka Core, Flash, and Edge, a series of powerful multimodal language models trained from scratch by Reka. Reka models are able to process and reason with text, images, video, and audio inputs. This technical report discusses details of t
Externí odkaz:
http://arxiv.org/abs/2404.12387
Autor:
Shu, Yuyang, Bain, Michael E.
Humans see low and high spatial frequency components at the same time, and combine the information from both to form a visual scene. Drawing on this neuroscientific inspiration, we propose an altered Vision Transformer architecture where patches from
Externí odkaz:
http://arxiv.org/abs/2403.13677
Autor:
Yang, Shaohua, Gerber, Dominic, Feng, Yanxia, Bain, Nicolas, Kuster, Matthias, de Lorenzis, Laura, Xu, Ye, Dufresne, Eric R., Style, Robert W.
It is widely known that freezing breaks soft, wet materials. However, the mechanism underlying this damage is still not clear. To understand this process, we freeze model, brittle hydrogel samples, while observing the growth of ice-filled cracks that
Externí odkaz:
http://arxiv.org/abs/2401.12871