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cs.CL2026
GRASS: Gradient-based Adaptive Layer-wise Importance Sampling for Memory-efficient Large Language Model Fine-tuning
Kaiyuan Tian, Yu Tang, Gongqingjian Jiang +5
Full-parameter fine-tuning of large language models is constrained by substantial GPU memory requirements. Low-rank adaptation methods mitigate this challenge by updating only a su…
cs.CL2024★ 3 cited
Two-stage Generative Question Answering on Temporal Knowledge Graph Using Large Language Models
Yifu Gao, Linbo Qiao, Zhigang Kan +3
Temporal knowledge graph question answering (TKGQA) poses a significant challenge task, due to the temporal constraints hidden in questions and the answers sought from dynamic stru…