핵심 개념
Architecture, specifically the FFN-Wider Transformer model, significantly impacts the base capabilities of language models by altering the contribution ratio of combination and transformation functions.
통계
"The FFN-Wider BERT models demonstrate a noticeable decline in base capabilities compared to the vanilla BERT models."
"The actual contribution ratio of the MHA layer is a key factor affecting the model’s base capabilities."
인용구
"The FFN-Wider BERT models with our Combination Enhanced Architecture (CEA) successfully reverse the decline in base capabilities."
"As the actual contribution ratio of the MHA layer increases, there is a general synchronous improvement in the model’s base capabilities."