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cs.CL2024
Scaling Laws for Discriminative Classification in Large Language Models
Dean Wyatte, Fatemeh Tahmasbi, Ming Li +1
Modern large language models (LLMs) represent a paradigm shift in what can plausibly be expected of machine learning models. The fact that LLMs can effectively generate sensible an…
cs.CL2024
Scalable Model Editing via Customized Expert Networks
Zihan Yao, Yu He, Tianyu Qi +1
Addressing the issues of hallucinations and outdated knowledge in large language models is critical for their reliable application. Model Editing presents a promising avenue for mi…