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cs.CL2024
Chip-Tuning: Classify Before Language Models Say
Fangwei Zhu, Dian Li, Jiajun Huang +3
The rapid development in the performance of large language models (LLMs) is accompanied by the escalation of model size, leading to the increasing cost of model training and infere…
cs.CL2024
MetaTool: Facilitating Large Language Models to Master Tools with Meta-task Augmentation
Xiaohan Wang, Dian Li, Yilin Zhao +2
Utilizing tools with Large Language Models (LLMs) is essential for grounding AI agents in real-world applications. The prevailing approach involves few-shot prompting with demonstr…