Summary of Brainchat: Decoding Semantic Information From Fmri Using Vision-language Pretrained Models, by Wanaiu Huang
BrainChat: Decoding Semantic Information from fMRI using Vision-language Pretrained Modelsby Wanaiu HuangFirst submitted to arxiv…
BrainChat: Decoding Semantic Information from fMRI using Vision-language Pretrained Modelsby Wanaiu HuangFirst submitted to arxiv…
A Non-autoregressive Generation Framework for End-to-End Simultaneous Speech-to-Speech Translationby Zhengrui Ma, Qingkai Fang, Shaolei Zhang,…
Paying More Attention to Source Context: Mitigating Unfaithful Translations from Large Language Modelby Hongbin Zhang,…
SUBLLM: A Novel Efficient Architecture with Token Sequence Subsampling for LLMby Quandong Wang, Yuxuan Yuan,…
LCS: A Language Converter Strategy for Zero-Shot Neural Machine Translationby Zengkui Sun, Yijin Liu, Fandong…
3D WholeBody Pose Estimation based on Semantic Graph Attention Network and Distance Informationby Sihan Wen,…
MDS-ViTNet: Improving saliency prediction for Eye-Tracking with Vision Transformerby Polezhaev Ignat, Goncharenko Igor, Iurina NatalyaFirst…
Vision-and-Language Navigation Generative Pretrained Transformerby Wen HanlinFirst submitted to arxiv on: 27 May 2024CategoriesMain: Artificial…
Language-Driven Interactive Traffic Trajectory Generationby Junkai Xia, Chenxin Xu, Qingyao Xu, Chen Xie, Yanfeng Wang,…
How Many Bytes Can You Take Out Of Brain-To-Text Decoding?by Richard Antonello, Nihita Sarma, Jerry…