Search Results for author: Sheng Lu

Found 4 papers, 3 papers with code

Measuring Pointwise $\mathcal{V}$-Usable Information In-Context-ly

1 code implementation18 Oct 2023 Sheng Lu, Shan Chen, Yingya Li, Danielle Bitterman, Guergana Savova, Iryna Gurevych

In-context learning (ICL) is a new learning paradigm that has gained popularity along with the development of large language models.

In-Context Learning

Are Emergent Abilities in Large Language Models just In-Context Learning?

1 code implementation4 Sep 2023 Sheng Lu, Irina Bigoulaeva, Rachneet Sachdeva, Harish Tayyar Madabushi, Iryna Gurevych

Large language models have exhibited emergent abilities, demonstrating exceptional performance across diverse tasks for which they were not explicitly trained, including those that require complex reasoning abilities.

In-Context Learning Instruction Following

Evaluation of ChatGPT Family of Models for Biomedical Reasoning and Classification

1 code implementation5 Apr 2023 Shan Chen, Yingya Li, Sheng Lu, Hoang Van, Hugo JWL Aerts, Guergana K. Savova, Danielle S. Bitterman

The first task is classifying whether statements of clinical and policy recommendations in scientific literature constitute health advice.

domain classification GPT-4 +2

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