33 citations · 45 across the 40 of their papers we have counts for
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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.HC2023★ 33 cited
RELIC: Investigating Large Language Model Responses using Self-Consistency
Furui Cheng, Vilém Zouhar, Simran Arora +3
Large Language Models (LLMs) are notorious for blending fact with fiction and generating non-factual content, known as hallucinations. To address this challenge, we propose an inte…