{"id":"W4410049377","doi":"10.1145/3680256.3721304","title":"AIPerfLLM: 3rd International Workshop on Performance Optimization in the LLM world","year":2025,"lang":"en","type":"article","venue":"","topic":"Scheduling and Optimization Algorithms","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; York University","funders":"","keywords":"Computer science","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":[0.007566602,0.001871213,0.001293672,0.001976537,0.0007313469,0.004706317,0.003059714,0.002693136,0.03753451],"category_scores_gemma":[0.009155441,0.0006062969,0.001204305,0.001826484,0.001188963,0.005032526,0.003528569,0.004800672,0.01403872],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003355555,"about_ca_system_score_gemma":0.003089553,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003940697,"about_ca_topic_score_gemma":0.004682682,"domain_scores_codex":[0.9967701,0.001081683,0.0001392592,0.0005315543,0.001081677,0.0003957837],"domain_scores_gemma":[0.9953964,0.001667709,0.0001454586,0.00088432,0.001208384,0.0006975701],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003128694,0.0003514836,0.0005922757,0.0004542937,0.00007604053,0.0001856744,0.0002411414,0.022328,0.003473609,0.03658096,0.4688271,0.4665765],"study_design_scores_gemma":[0.00008316763,0.0002550688,0.001432378,0.0007151238,0.00004312734,0.0002694326,0.0002074834,0.09238771,0.005102446,0.04661179,0.8528172,0.00007506257],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.01854805,0.06962023,0.6540274,0.07039785,0.01891997,0.0005215899,0.003931526,0.01323552,0.1507978],"genre_scores_gemma":[0.1857051,0.03484009,0.4607579,0.008879583,0.01058554,0.001091874,0.01299581,0.007962156,0.2771821],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.03753451,"threshold_uncertainty_score":0.1255654,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01066047285804053,"score_gpt":0.2391064313096158,"score_spread":0.2284459584515752,"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."}}