most citedIntactKV: Improving Large Language Model Quantization by Keeping Pivot Tokens Intact

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cs.LG2026

Efficient Analytic Uncertainty Quantification for Multi-Modal Regression

Kun Jin, James Harrison, Jiawei Li +8

Efficient uncertainty quantification (UQ) is essential for trustworthy large-scale learning. Existing UQ methods for regression tasks mainly operate under the assumption that the c…

cs.LG2024★ 1 cited

Wisdom of Committee: Diverse Distillation from Large Foundation Models and Domain Experts

Zichang Liu, Qingyun Liu, Yuening Li +6

Knowledge distillation from foundation models to compact domain models is challenging due to substantial gaps in capacity, architecture, and modality. For example, in our experimen…