Dynamic In-Context Learning from Nearest Neighbors for Bundle Generation

no code implementations • 26 Dec 2023 • Zhu Sun, Kaidong Feng, Jie Yang, Xinghua Qu, Hui Fang, Yew-Soon Ong, Wenyuan Liu

To enhance reliability and mitigate the hallucination issue, we develop (1) a self-correction strategy to foster mutual improvement in both tasks without supervision signals; and (2) an auto-feedback mechanism to recurrently offer dynamic supervision based on the distinct mistakes made by ChatGPT on various neighbor sessions.

Hallucination In-Context Learning +2

Using Machine Learning to Predict the Evolution of Physics Research

no code implementations • 29 Oct 2018 • Wenyuan Liu, Stanisław Saganowski, Przemysław Kazienko, Siew Ann Cheong

The advancement of science as outlined by Popper and Kuhn is largely qualitative, but with bibliometric data it is possible and desirable to develop a quantitative picture of scientific progress.

BIG-bench Machine Learning Descriptive