{"id":"W4402704582","doi":"10.1109/cvpr52733.2024.00572","title":"Permutation Equivariance of Transformers and its Applications","year":2024,"lang":"en","type":"article","venue":"","topic":"Computability, Logic, AI Algorithms","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"National Science and Technology Major Project","keywords":"Permutation (music); Transformer; Computer science; Mathematics; Engineering; Electrical engineering; Physics","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":[0.002674305,0.0007085709,0.0008949294,0.0009990594,0.0008571,0.00235378,0.001718565,0.001275998,0.006750627],"category_scores_gemma":[0.01654148,0.0005625922,0.001240342,0.001039033,0.004102867,0.005797292,0.003436273,0.003600788,0.0009944172],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002000483,"about_ca_system_score_gemma":0.001843607,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002485597,"about_ca_topic_score_gemma":0.001783744,"domain_scores_codex":[0.9979823,0.000705983,0.0001081227,0.000500055,0.0004784342,0.0002250326],"domain_scores_gemma":[0.9932521,0.003805507,0.0004833222,0.001636988,0.0005891868,0.0002328603],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001762026,0.00005337122,0.001352029,0.00008117195,0.00004540732,0.0002020288,0.0001430379,0.195125,0.002092215,0.7567315,0.002467314,0.04153058],"study_design_scores_gemma":[0.00001169723,0.00003598295,0.0001033297,0.00001545923,0.00001476778,0.0001335125,0.00002228202,0.4550269,0.002068453,0.5405238,0.002027333,0.00001653659],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04666834,0.0005357861,0.9370115,0.001237642,0.00008412832,0.00006207127,0.000261335,0.001026004,0.01311303],"genre_scores_gemma":[0.9337891,0.0006376702,0.05745056,0.000491197,0.000107833,0.00007814444,0.0003168124,0.0004304918,0.006698196],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006750627,"threshold_uncertainty_score":0.02258307,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01450708286133448,"score_gpt":0.2681906487009137,"score_spread":0.2536835658395793,"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."}}