most citedNN Prompting: Beyond-Context Learning with Calibration-Free Nearest Neighbor Inference

13 citations · 13 across the 2 of their papers we have counts for

collaborators

2 papers

eess.AS2023

Towards Word-Level End-to-End Neural Speaker Diarization with Auxiliary Network

Yiling Huang, Weiran Wang, Guanlong Zhao +3

While standard speaker diarization attempts to answer the question "who spoken when", most of relevant applications in reality are more interested in determining "who spoken what".…

cs.CL2023★ 13 cited

NN Prompting: Beyond-Context Learning with Calibration-Free Nearest Neighbor Inference

Benfeng Xu, Quan Wang, Zhendong Mao +3

In-Context Learning (ICL), which formulates target tasks as prompt completion conditioned on in-context demonstrations, has become the prevailing utilization of LLMs. In this paper…