Dynamic Positional Attention Modulation for Parameter-Efficient Fine-Tuning of Large Language Models
DyPAM (Dynamic Positional Attention Modulation) is proposed, a PEFT method that adapts how positional information contributes to attention by operating directly on the query and key representations, performing fine-grained adaptation of positional attention aligned with the RoPE-induced structure without modifying the...