Fausto Giunchiglia

Although studies have demonstrated that Large Language Models (LLMs) can perform well on Out-of-Distribution (OOD) tasks, their advantage tends to diminish as the distribution shift becomes more severe. Consequently, researchers aim to retrieve distributionally similar and informative demonstrati...

With the rapid development of Large Language Models (LLMs), In-Context Learning (ICL) has emerged as one of the universal paradigms for unleashing the capabilities of LLMs. However, LLMs are generally plagued by various biases in context example selection, which can distort the model’s prediction...