or morphological element implicitly expressing temporal order. By combining multi-head attention with pair-conditioned top-K pooling, the model isolates the most informative contextual tokens for eac...
utilize multi-head cross-modal attention to learn dependencies and correlations between different modalities, and subsequently fuse the multimodal features to obtain predicted top-k beams so that the...
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. Using Shapley Additive Explanations (SHAP) to interpret the top-performing LightGBM model, the... leverages multi-head attention for solar wind speed forecasting, achieving a one-day lead time MA...
View PDFAbstract:Multi-head-self-attention (MHSA)-equipped models have achieved notable perf... Top-1 accuracy of 85.0%, close to the hybrid architecture with convolution and MHSA. Other wide-r...
86.7% 85.1% 87.1% HellaSwag 70.6% 69.9% MMLU Mixtral8x7B GPT-3.5 LLaMA270B Routing top k xN L layers Liama2700 Input embeddings Attention Multi-Head FFN Feed Forward Llana2708 ...