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cs.CL2024
IAPT: Instruction-Aware Prompt Tuning for Large Language Models
Wei Zhu, Aaron Xuxiang Tian, Congrui Yin +3
Soft prompt tuning is a widely studied parameter-efficient fine-tuning method. However, it has a clear drawback: many soft tokens must be inserted into the input sequences to guara…
cs.CL2024
TCMBench: A Comprehensive Benchmark for Evaluating Large Language Models in Traditional Chinese Medicine
Wenjing Yue, Xiaoling Wang, Wei Zhu +5
Large language models (LLMs) have performed remarkably well in various natural language processing tasks by benchmarking, including in the Western medical domain. However, the prof…