2026
CROSS-EXAMINER: EVALUATING CONSISTENCY OF LARGE LANGUAGE MODEL-GENERATED EXPLANATIONS
ICASSP 2026poster
Large Language Models (LLMs) are often asked to explain their outputs to enhance accuracy and transparency. However, evidence suggests that these explanations can misrepresent the models' true reasoning processes. One effective way to identify inaccuracies or omissions in these explanations is throu…