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Se2: Sequential Example Selection for In-Context Learning
The paper proposes a novel approach to the sequential example selection paradigm for in-context learning. -
bAbI dataset
The bAbI dataset is a benchmark for in-context learning of chat-based Large Language Models (LLMs). It consists of a sequence of stories that give the model new information, and... -
PRIVACY-PRESERVING IN-CONTEXT LEARNING FOR LARGE LANGUAGE MODELS
In-context learning (ICL) is an important capability of Large Language Models (LLMs), enabling these models to dynamically adapt based on specific, in-context exemplars, thereby... -
Evol-Instruct-70k
The dataset used in the paper for in-context learning task -
Video In-Context Learning
Video In-Context Learning (Vid-ICL) is a novel framework that extends in-context learning to video data.
