2 papers
cs.LG2025
ComplexFormer: Disruptively Advancing Transformer Inference Ability via Head-Specific Complex Vector Attention
Jintian Shao, Hongyi Huang, Jiayi Wu +4
Transformer models rely on self-attention to capture token dependencies but face challenges in effectively integrating positional information while allowing multi-head attention (M…
cs.CL2025
VQ-Logits: Compressing the Output Bottleneck of Large Language Models via Vector Quantized Logits
Jintian Shao, Hongyi Huang, Jiayi Wu +4
Large Language Models (LLMs) have achieved remarkable success but face significant computational and memory challenges, particularly due to their extensive output vocabularies. The…