{"id":"W7130549209","doi":"10.1109/fllm67465.2025.11390932","title":"Explainable AI via Large Language Models: Translating Neural Network Behavior into Interpretable Decision Trees","year":2025,"lang":"","type":"article","venue":"","topic":"Explainable Artificial Intelligence (XAI)","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Mila - Quebec Artificial Intelligence Institute; Artificial Intelligence in Medicine (Canada); Université TÉLUQ","funders":"","keywords":"Artificial neural network; Decision tree; Fidelity; Deep neural networks; Audit; Deep learning; Language model; Language understanding","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001046924,0.0009298176,0.000477478,0.0004554344,0.0002856832,0.001211004,0.001495112,0.001109116,0.00268048],"category_scores_gemma":[0.009710164,0.0004114009,0.0007926388,0.0004242083,0.0008283309,0.002040102,0.001229541,0.002992738,0.0008697979],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008098083,"about_ca_system_score_gemma":0.0009099594,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003115567,"about_ca_topic_score_gemma":0.005869939,"domain_scores_codex":[0.9994998,0.00020641,0.00002591618,0.0001304089,0.0001013403,0.00003596493],"domain_scores_gemma":[0.9962242,0.002812541,0.0001953524,0.0004747486,0.0002201621,0.00007304159],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001552682,0.0001401788,0.001765929,0.0002119506,0.00007649892,0.0003647516,0.000390438,0.7948838,0.007273132,0.0345558,0.008425145,0.1517571],"study_design_scores_gemma":[0.000007073348,0.000009118516,0.00004267606,0.000006675066,0.000003715571,0.00001084075,0.000009878345,0.9752211,0.001088204,0.02316566,0.0004312732,0.000003818159],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03846074,0.0003115678,0.9498912,0.0009563547,0.00009741193,0.00008088203,0.0007286426,0.007213793,0.002259387],"genre_scores_gemma":[0.6524188,0.0002720001,0.3417381,0.0005386126,0.00006595019,0.0001882572,0.001799711,0.0007340431,0.002244534],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003115567,"threshold_uncertainty_score":0.008967102,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01935430610804568,"score_gpt":0.3086205793526522,"score_spread":0.2892662732446065,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}