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cs.CL2024
Enhancing Long Context Performance in LLMs Through Inner Loop Query Mechanism
Yimin Tang, Yurong Xu, Ning Yan +1
Transformers have a quadratic scaling of computational complexity with input size, which limits the input context window size of large language models (LLMs) in both training and i…
cs.AI2024
Demonstration Notebook: Finding the Most Suited In-Context Learning Example from Interactions
Yiming Tang, Bin Dong
Large language models (LLMs) benefit greatly from prompt engineering, with in-context learning standing as a pivital technique. While former approaches have provided various ways t…