no code implementations • 26 Mar 2024 • Linyang He, Peili Chen, Ercong Nie, Yuanning Li, Jonathan R. Brennan
4) For Transformer-based models, both embeddings and attentions capture grammatical features but show distinct patterns.
no code implementations • 4 Dec 2023 • Yan Tian, Zhaocheng Xu, Yujun Ma, Weiping Ding, Ruili Wang, Zhihong Gao, Guohua Cheng, Linyang He, Xuran Zhao
Finally, we discuss the current scope of work and provide directions for the future development of multimodal cancer detection.
no code implementations • 7 Oct 2023 • Peili Chen, Linyang He, Li Fu, Lu Fan, Edward F. Chang, Yuanning Li
Speech and language models trained through self-supervised learning (SSL) demonstrate strong alignment with brain activity during speech and language perception.