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cs.CL2024
F-Eval: Assessing Fundamental Abilities with Refined Evaluation Methods
Yu Sun, Keyu Chen, Shujie Wang +6
Large language models (LLMs) garner significant attention for their unprecedented performance, leading to an increasing number of researches evaluating LLMs. However, these evaluat…
cs.CL2024
Parameter-Efficient Fine-Tuning With Adapters
Keyu Chen, Yuan Pang, Zi Yang
In the arena of language model fine-tuning, the traditional approaches, such as Domain-Adaptive Pretraining (DAPT) and Task-Adaptive Pretraining (TAPT), although effective, but com…