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cs.LG2023★ 1 cited
Auto-ICL: In-Context Learning without Human Supervision
Jinghan Yang, Shuming Ma, Furu Wei
With in-context learning ability, the performance of large language models can be significantly boosted when provided with appropriate context. However, existing in-context learnin…
cs.LG2023
Relabeling Minimal Training Subset to Flip a Prediction
Jinghan Yang, Linjie Xu, Lequan Yu
When facing an unsatisfactory prediction from a machine learning model, users can be interested in investigating the underlying reasons and exploring the potential for reversing th…
cs.LG2023
How Many and Which Training Points Would Need to be Removed to Flip this Prediction?
Jinghan Yang, Sarthak Jain, Byron C. Wallace
We consider the problem of identifying a minimal subset of training data such that if the instances comprising had been removed prior to training, t…