Brain-CLIPLM: Semantic Compression for EEG-to-Text Decoding 事件

Brain-CLIPLM: Semantic Compression for EEG-to-Text Decoding arXiv:2604.16370v2 Announce Type: replace-cross Abstract: Decoding natural language from non-invasive electroencephalography (EEG) remains constrained by low signal-to-noise ratio and limited information bandwidth. This raises a central question: can sentence-level language be reliably recovered from such signals? Under realistic information constraints, this direct-recovery assumption may be too strong. We introduce a semantic compres