23 citations · 63 across the 5 of their papers we have counts for
5 papers
Jais and Jais-chat: Arabic-Centric Foundation and Instruction-Tuned Open Generative Large Language Models
Neha Sengupta, Sunil Kumar Sahu, Bokang Jia +29
We introduce Jais and Jais-chat, new state-of-the-art Arabic-centric foundation and instruction-tuned open generative large language models (LLMs). The models are based on the GPT-…
Multimodal Image Synthesis and Editing: The Generative AI Era
Fangneng Zhan, Yingchen Yu, Rongliang Wu +6
As information exists in various modalities in real world, effective interaction and fusion among multimodal information plays a key role for the creation and perception of multimo…
Explaining a black-box using Deep Variational Information Bottleneck Approach
Seojin Bang, Pengtao Xie, Heewook Lee +2
Interpretable machine learning has gained much attention recently. Briefness and comprehensiveness are necessary in order to provide a large amount of information concisely when ex…
Distributed Machine Learning via Sufficient Factor Broadcasting
Pengtao Xie, Jin Kyu Kim, Yi Zhou +4
Matrix-parametrized models, including multiclass logistic regression and sparse coding, are used in machine learning (ML) applications ranging from computer vision to computational…
Discrete Temporal Models of Social Networks
Steve Hanneke, Wenjie Fu, Eric Xing
We propose a family of statistical models for social network evolution over time, which represents an extension of Exponential Random Graph Models (ERGMs). Many of the methods for…