Summary of Mitigating Boundary Ambiguity and Inherent Bias For Text Classification in the Era Of Large Language Models, by Zhenyi Lu et al.
Mitigating Boundary Ambiguity and Inherent Bias for Text Classification in the Era of Large Language…
Mitigating Boundary Ambiguity and Inherent Bias for Text Classification in the Era of Large Language…
BEADs: Bias Evaluation Across Domainsby Shaina Raza, Mizanur Rahman, Michael R. ZhangFirst submitted to arxiv…
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Evaluating Subword Tokenization: Alien Subword Composition and OOV Generalization Challengeby Khuyagbaatar Batsuren, Ekaterina Vylomova, Verna…
Small Language Models are Good Too: An Empirical Study of Zero-Shot Classificationby Pierre Lepagnol, Thomas…
Cross-lingual Text Classification Transfer: The Case of Ukrainianby Daryna Dementieva, Valeriia Khylenko, Georg GrohFirst submitted…
Adverb Is the Key: Simple Text Data Augmentation with Adverb Deletionby Juhwan Choi, YoungBin KimFirst…
A Large Language Model Guided Topic Refinement Mechanism for Short Text Modelingby Shuyu Chang, Rui…
Language Models for Text Classification: Is In-Context Learning Enough?by Aleksandra Edwards, Jose Camacho-ColladosFirst submitted to…