{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002342946,0.001487333,0.001396706,0.0008369671,0.0004369527,0.0009924391,0.002777324,0.001697441,0.004705986],"category_scores_gemma":[0.009723947,0.0006329987,0.0009705496,0.001056112,0.0006118559,0.003951035,0.001648452,0.003265389,0.00402296],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005546269,"about_ca_system_score_gemma":0.002142708,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008705959,"about_ca_topic_score_gemma":0.01603745,"domain_scores_codex":[0.9985009,0.0004246683,0.00009335069,0.0005237266,0.0003550897,0.0001023106],"domain_scores_gemma":[0.9965093,0.001562291,0.0001744034,0.0008741588,0.0007006789,0.0001792916],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001078144,0.001183736,0.005017968,0.0007978668,0.0001970352,0.0003959044,0.0003935481,0.07729177,0.02636887,0.007807587,0.03978416,0.8396835],"study_design_scores_gemma":[0.0003070802,0.0006393649,0.001601288,0.00005444081,0.0001160953,0.0002626208,0.00008707361,0.9534582,0.01755179,0.009163429,0.01666428,0.00009440626],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03797442,0.001823632,0.9074346,0.0007459414,0.0002862487,0.0003312244,0.001664422,0.04552653,0.00421306],"genre_scores_gemma":[0.3255275,0.001024799,0.6542643,0.001409123,0.0002531564,0.0004697163,0.00516191,0.0008593573,0.0110302],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.008705959,"threshold_uncertainty_score":0.01731062,"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."}}