most citedA novel active learning framework for classification: using weighted rank aggregation to achieve multiple query criteria

2 citations · 4 across the 2 of their papers we have counts for

collaborators

2 papers

cs.CL2024★ 2 cited

Improving Retrieval Augmented Language Model with Self-Reasoning

Yuan Xia, Jingbo Zhou, Zhenhui Shi +2

The Retrieval-Augmented Language Model (RALM) has shown remarkable performance on knowledge-intensive tasks by incorporating external knowledge during inference, which mitigates th…

cs.LG2018★ 2 cited

A novel active learning framework for classification: using weighted rank aggregation to achieve multiple query criteria

Yu Zhao, Zhenhui Shi, Jingyang Zhang +2

Multiple query criteria active learning (MQCAL) methods have a higher potential performance than conventional active learning methods in which only one criterion is deployed for sa…