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cs.HC2025
CafGa: Customizing Feature Attributions to Explain Language Models
Alan Boyle, Furui Cheng, Vilém Zouhar +1
Feature attribution methods, such as SHAP and LIME, explain machine learning model predictions by quantifying the influence of each input component. When applying feature attributi…
cs.HC2025★ 1 cited
DxHF: Providing High-Quality Human Feedback for LLM Alignment via Interactive Decomposition
Danqing Shi, Furui Cheng, Tino Weinkauf +2
Human preferences are widely used to align large language models (LLMs) through methods such as reinforcement learning from human feedback (RLHF). However, the current user interfa…