Mingyue Liu — accepted AI-conference papers

2024

Self-Regulated Sample Diversity in Large Language Models

Mingyue Liu, Jonathan Frawley, Sarah Wyer, Hubert P. H. Shum, Sara Uckelman, Sue Black +1

NAACL 2024findings

Sample diversity depends on the task; within mathematics, precision and determinism are paramount, while storytelling thrives on creativity and surprise. This paper presents a simple self-regulating approach where we adjust sample diversity inference parameters dynamically based on the input prompt—…

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2022

Recent Advances in Concept Drift Adaptation Methods for Deep Learning

Liheng Yuan, Heng Li, Beihao Xia, Cuiying Gao, Mingyue Liu, Wei Yuan +1

IJCAI 2022poster

In the ``Big Data'' age, the amount and distribution of data have increased wildly and changed over time in various time-series-based tasks, e.g weather prediction, network intrusion detection. However, deep learning models may become outdated facing variable input data distribution, which is called…

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