{"id":"W4405183082","doi":"10.1145/3658644.3670334","title":"zkLLM: Zero Knowledge Proofs for Large Language Models","year":2024,"lang":"en","type":"article","venue":"","topic":"Topic Modeling","field":"Computer Science","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Zero-knowledge proof; Computer science; Mathematical proof; Zero (linguistics); Programming language; Mathematics; Linguistics; Algorithm; Philosophy; Cryptography","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002651773,0.00008968142,0.00008995695,0.00007167479,0.00005241354,0.0001999733,0.0004746905,0.00004504894,0.00002151886],"category_scores_gemma":[0.00001183164,0.00007190909,0.000068966,0.0001584842,0.000004526553,0.0004582926,0.0002016075,0.00007183853,0.0001094187],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002776762,"about_ca_system_score_gemma":0.00007468929,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008491746,"about_ca_topic_score_gemma":0.00002014956,"domain_scores_codex":[0.9991324,0.00001292954,0.0001314168,0.000360651,0.00009481815,0.000267774],"domain_scores_gemma":[0.9994385,0.00006824108,0.000009422191,0.0003924458,0.00003510212,0.00005627319],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[5.816416e-7,0.00002269182,0.000001889321,0.00006910552,0.000008188053,0.000005893715,0.002638336,0.0002659959,0.0001728683,0.933951,0.005913899,0.05694951],"study_design_scores_gemma":[0.0001071716,0.00001544661,8.770977e-7,0.00002304294,0.000002901354,0.000003908249,0.0000249367,0.9222298,0.0008634547,0.05631153,0.02031929,0.00009760191],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0008674864,0.001722776,0.9643167,0.0005992854,0.0005534242,0.0002379411,0.000004435612,0.0006539306,0.03104407],"genre_scores_gemma":[0.8381289,0.000003683635,0.140523,0.0002117451,0.000151912,0.00006325042,0.000002301896,0.00001300183,0.02090222],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9219638,"threshold_uncertainty_score":0.2932368,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03503480681345038,"score_gpt":0.3043688524513657,"score_spread":0.2693340456379153,"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."}}