LLMs as Annotators: Evaluating Model–Human Alignment in Detecting Contentious Language in Historical Corpora
Ya-Hui Zhao, Clemencia Siro, L. Hollink et al.
· 0 citations
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Jul 2026
Strategy-Aware Parameter-Efficient Adaptation for LLM-based Auto-Bidding
SAGE introduces a parameter-efficient multi-modal alignment framework for constrained auto-bidding with Large Language Models, demonstrating that SAGE consistently achieves superior performance while tuning less than 10% of the trainable parameters required by full fine-tuning.
Songyue Cai, Lian-Yu Wang, Shane Gu et al.
· arXiv.org · 1 citation