{"id":"W4404782247","doi":"10.18653/v1/2024.emnlp-main.995","title":"PepRec: Progressive Enhancement of Prompting for Recommendation","year":2024,"lang":"en","type":"article","venue":"","topic":"Recommender Systems and Techniques","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Computer graphics (images)","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003428798,0.00006039504,0.00008969691,0.00006595955,0.00003091206,0.0001079041,0.0001944991,0.00002417216,0.00003720756],"category_scores_gemma":[0.00000911219,0.00004584603,0.00004694708,0.0001234351,0.000006030097,0.0002975973,0.00007474878,0.00003115931,0.000004007128],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002371102,"about_ca_system_score_gemma":0.00003050694,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001356166,"about_ca_topic_score_gemma":0.000001530598,"domain_scores_codex":[0.9993793,0.00001821569,0.0002133892,0.0002112253,0.00007014225,0.0001076943],"domain_scores_gemma":[0.9996451,0.00006692598,0.00005883189,0.0001495273,0.00006108313,0.00001849037],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000001428474,0.00003458832,0.00002475146,0.0002386634,0.00002530177,5.817141e-7,0.0005018272,1.670954e-7,0.002742065,0.1347581,0.0120004,0.8496721],"study_design_scores_gemma":[0.0001751599,0.0004908439,0.0000355267,0.0004258054,0.000008020177,0.00001261689,0.00007292793,0.1355643,0.6655831,0.01952324,0.1778858,0.0002227127],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0005494434,0.0001514332,0.9881358,0.001757561,0.0003665111,0.000544465,0.000001665113,0.0002740393,0.00821905],"genre_scores_gemma":[0.6481711,0.00000755918,0.3506534,0.00005020696,0.0000567247,0.0003442377,0.0000063583,0.000006131831,0.0007042828],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8494494,"threshold_uncertainty_score":0.1869547,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03041895987872982,"score_gpt":0.3246514676078662,"score_spread":0.2942325077291364,"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."}}