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most citedTowards Informative Few-Shot Prompt with Maximum Information Gain for In-Context Learning

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cs.CL2023★ 1 cited

Towards Informative Few-Shot Prompt with Maximum Information Gain for In-Context Learning

Hongfu Liu, Ye Wang

Large Language models (LLMs) possess the capability to engage In-context Learning (ICL) by leveraging a few demonstrations pertaining to a new downstream task as conditions. Howeve…

cs.SD2023

Advancing Test-Time Adaptation in Wild Acoustic Test Settings

Hongfu Liu, Hengguan Huang, Ye Wang

Acoustic foundation models, fine-tuned for Automatic Speech Recognition (ASR), suffer from performance degradation in wild acoustic test settings when deployed in real-world scenar…