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cs.CL2025
Quantifying Uncertainty in Natural Language Explanations of Large Language Models for Question Answering
Yangyi Li, Mengdi Huai
Large language models (LLMs) have shown strong capabilities, enabling concise, context-aware answers in question answering (QA) tasks. The lack of transparency in complex LLMs has…
cs.CL2022
SEAT: Stable and Explainable Attention
Lijie Hu, Yixin Liu, Ninghao Liu +3
Currently, attention mechanism becomes a standard fixture in most state-of-the-art natural language processing (NLP) models, not only due to outstanding performance it could gain,…