2 citations · 2 across the 12 of their papers we have counts for
3 papers · 1 filter
The Illusion of Equivalency: Statistical Characterization of Quantization Effects in LLMs
Baha Rababah, Shahzeb Qamar, Lorenz Sparrenberg +4
Post-Training Quantization has become widely used to compress large language models to make them deployable on resource-constrained devices. However, the evaluation of quantization…
CourtGuard: A Model-Agnostic Framework for Zero-Shot Policy Adaptation in LLM Safety
Umid Suleymanov, Rufiz Bayramov, Suad Gafarli +4
Current safety mechanisms for Large Language Models (LLMs) rely heavily on static, fine-tuned classifiers that suffer from adaptation rigidity, the inability to enforce new governa…
Using AI Uncertainty Quantification to Improve Human Decision-Making
Laura R. Marusich, Jonathan Z. Bakdash, Yan Zhou +1
AI Uncertainty Quantification (UQ) has the potential to improve human decision-making beyond AI predictions alone by providing additional probabilistic information to users. The ma…