Robust Knowledge Extraction from Large Language Models using Social Choice Theory

no code implementations • 22 Dec 2023 • Nico Potyka, Yuqicheng Zhu, Yunjie He, Evgeny Kharlamov, Steffen Staab

Large-language models (LLMs) can support a wide range of applications like conversational agents, creative writing or general query answering.

Active Transfer Prototypical Network: An Efficient Labeling Algorithm for Time-Series Data

no code implementations • 28 Sep 2022 • Yuqicheng Zhu, Mohamed-Ali Tnani, Timo Jahnz, Klaus Diepold

However, the learning efficiency strongly relies on the initial model, resulting in the trade-off between the size of the initial dataset and the query number.

Active Learning Few-Shot Learning +2