activity
20222026
most citedSelf-Adaptive In-Context Learning: An Information Compression Perspective for In-Context Example Selection and Ordering

14 citations · 20 across the 7 of their papers we have counts for

collaborators
Showing 2023Show all

2 papers · 1 filter

cs.CL2023

IBADR: an Iterative Bias-Aware Dataset Refinement Framework for Debiasing NLU models

Xiaoyue Wang, Xin Liu, Lijie Wang +3

As commonly-used methods for debiasing natural language understanding (NLU) models, dataset refinement approaches heavily rely on manual data analysis, and thus maybe unable to cov…

cs.CL2023★ 1 cited

OpenICL: An Open-Source Framework for In-context Learning

Zhenyu Wu, YaoXiang Wang, Jiacheng Ye +4

In recent years, In-context Learning (ICL) has gained increasing attention and emerged as the new paradigm for large language model (LLM) evaluation. Unlike traditional fine-tuning…