4 code implementations • 12 Oct 2022 • Hongyu Wang, Shuming Ma, Shaohan Huang, Li Dong, Wenhui Wang, Zhiliang Peng, Yu Wu, Payal Bajaj, Saksham Singhal, Alon Benhaim, Barun Patra, Zhun Liu, Vishrav Chaudhary, Xia Song, Furu Wei
A big convergence of model architectures across language, vision, speech, and multimodal is emerging.
1 code implementation • 28 Jan 2022 • Shaden Smith, Mostofa Patwary, Brandon Norick, Patrick Legresley, Samyam Rajbhandari, Jared Casper, Zhun Liu, Shrimai Prabhumoye, George Zerveas, Vijay Korthikanti, Elton Zhang, Rewon Child, Reza Yazdani Aminabadi, Julie Bernauer, Xia Song, Mohammad Shoeybi, Yuxiong He, Michael Houston, Saurabh Tiwary, Bryan Catanzaro
Next, we detail the training process, the design of our training corpus, and our data curation techniques, which we believe is a key ingredient to the success of the model.
Ranked #33 on Sentence Completion on HellaSwag
no code implementations • ACL 2020 • Tian Jin, Zhun Liu, Shengjia Yan, Alex Eichenberger, re, Louis-Philippe Morency
In this paper, we propose \textbf{N3} (\textbf{N}eural \textbf{N}etworks from \textbf{N}atural Language) - a new paradigm of synthesizing task-specific neural networks from language descriptions and a generic pre-trained model.
no code implementations • ACL 2019 • Paul Pu Liang, Zhun Liu, Yao-Hung Hubert Tsai, Qibin Zhao, Ruslan Salakhutdinov, Louis-Philippe Morency
Our method is based on the observation that high-dimensional multimodal time series data often exhibit correlations across time and modalities which leads to low-rank tensor representations.
4 code implementations • 23 Nov 2018 • Yansen Wang, Ying Shen, Zhun Liu, Paul Pu Liang, Amir Zadeh, Louis-Philippe Morency
Humans convey their intentions through the usage of both verbal and nonverbal behaviors during face-to-face communication.
3 code implementations • ACL 2018 • Zhun Liu, Ying Shen, Varun Bharadhwaj Lakshminarasimhan, Paul Pu Liang, Amir Zadeh, Louis-Philippe Morency
Previous research in this field has exploited the expressiveness of tensors for multimodal representation.