3 citations · 5 across the 4 of their papers we have counts for
5 papers
Anisotropic Modality Align
Xiaomin Yu, Yijiang Li, Yuhui Zhang +8
Training multimodal large language models has long been limited by the scarcity of high-quality paired multimodal data. Recent studies show that the shared representation space of…
NeuGPT: Unified multi-modal Neural GPT
Yiqian Yang, Yiqun Duan, Hyejeong Jo +6
This paper introduces NeuGPT, a groundbreaking multi-modal language generation model designed to harmonize the fragmented landscape of neural recording research. Traditionally, stu…
MAD: Multi-Alignment MEG-to-Text Decoding
Yiqian Yang, Hyejeong Jo, Yiqun Duan +6
Deciphering language from brain activity is a crucial task in brain-computer interface (BCI) research. Non-invasive cerebral signaling techniques including electroencephalography (…
Are EEG-to-Text Models Working?
Hyejeong Jo, Yiqian Yang, Juhyeok Han +3
This work critically analyzes existing models for open-vocabulary EEG-to-Text translation. We identify a crucial limitation: previous studies often employed implicit teacher-forcin…
NeuSpeech: Decode Neural signal as Speech
Yiqian Yang, Yiqun Duan, Qiang Zhang +5
Decoding language from brain dynamics is an important open direction in the realm of brain-computer interface (BCI), especially considering the rapid growth of large language model…