Papers by Yung-Hui Li

2 papers
Expert Calibration Lens for Pruning Mixture of Experts (2026.acl-demo)

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Challenge: Expert pruning is a practical deployment technique for Mixture-of-Experts models . but its success depends heavily on the calibration set used for pruning .
Approach: They propose a calibration tool that compares expert activations across datasets to predict calibration perturbations without running expensive pruning procedures.
Outcome: The proposed system compares expert activations across datasets to predict calibration perturbations without running expensive pruning procedures.
Location-Aware Visual Question Generation with Lightweight Models (2023.emnlp-main)

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Challenge: a novel task aims to generate engaging questions from location-aware information . a lightweight model can be used to generate such questions .
Approach: They propose a task to generate engaging questions from location-aware data . they represent location-based information with surrounding images and a GPS coordinate .
Outcome: The proposed method outperforms baselines regarding human evaluation and evaluation metrics.

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