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cs.CL2024★ 1 cited
Augmenting NER Datasets with LLMs: Towards Automated and Refined Annotation
Yuji Naraki, Ryosuke Yamaki, Yoshikazu Ikeda +4
In the field of Natural Language Processing (NLP), Named Entity Recognition (NER) is recognized as a critical technology, employed across a wide array of applications. Traditional…
cs.LG2024
Towards Understanding Variants of Invariant Risk Minimization through the Lens of Calibration
Kotaro Yoshida, Hiroki Naganuma
Machine learning models traditionally assume that training and test data are independently and identically distributed. However, in real-world applications, the test distribution o…