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cs.CL2026
EMO: Pretraining Mixture of Experts for Emergent Modularity
Ryan Wang, Akshita Bhagia, Sewon Min
Large language models are typically deployed as monolithic systems, requiring the full model even when applications need only a narrow subset of capabilities, e.g., code, math, or…
cs.CL2022★ 1 cited
Re-Examining Calibration: The Case of Question Answering
Chenglei Si, Chen Zhao, Sewon Min +1
For users to trust model predictions, they need to understand model outputs, particularly their confidence - calibration aims to adjust (calibrate) models' confidence to match expe…