2 papers
cs.CL2026
More Human, More Efficient: Aligning Annotations with Quantized SLMs
Jiayu Wang, Junyoung Lee
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 wide…
cs.CL2025
Decoding-Free Sampling Strategies for LLM Marginalization
David Pohl, Marco Cognetta, Junyoung Lee +1
Modern language models operate on subword-tokenized text in order to make a trade-off between model size, inference speed, and vocabulary coverage. A side effect of this is that, d…