AI RESEARCH
More Human, More Efficient: Aligning Annotations with Quantized SLMs
arXiv CS.CL
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ArXi:2604.00586v1 Announce Type: new As Large Language Model (LLM) capabilities advance, the demand for high-quality annotation of exponentially increasing text corpora has outpaced human capacity, leading to the widespread adoption of LLMs in automatic evaluation and annotation. However,