Tag: transformer models
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Priming Hybrid State Space Models with Pre-trained Transformers
Discover how Priming enhances Hybrid State Space models using pre-trained Transformers for faster, efficient AI with improved long-context reasoning.
Neuroscience Insights on Visual Interest in Multimodal AI
Explore how neuroscience principles shape visual interest representation in multimodal transformers, enhancing AI alignment with human cognition.
TTCD: Advanced Temporal Causal Discovery for Non-Stationary Data
Discover causal relationships in non-stationary time series with TTCD, a transformer-based framework enhancing accuracy and robustness in complex datasets.
CLEF: Advanced EEG Model for Clinical Semantic Analysis
Discover CLEF, the EEG foundation model enhancing clinical semantics with 3D spectrograms and Transformer tech for better neurodiagnostic insights.
PathISE: Efficient Supervision for Knowledge Graph QA
Discover PathISE, a lightweight transformer framework boosting Knowledge Graph Question Answering with efficient path-level supervision and improved accura...