{"id":"W4416236655","doi":"10.1007/978-981-95-3349-7_15","title":"Continual Learning for Multilingual Neural Machine Translation via Meta-Contrastive Memory Replay","year":2025,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Domain Adaptation and Few-Shot Learning","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Forgetting; Machine translation; Focus (optics); Adaptation (eye); Stability (learning theory); Translation (biology); State (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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001662469,0.0006320433,0.0008860865,0.0008356716,0.0005171323,0.0005125428,0.001738708,0.0003220769,0.00003349796],"category_scores_gemma":[0.0004397186,0.0005745313,0.0004119264,0.000500117,0.0004109864,0.0006566258,0.0003580977,0.001245416,0.000008774902],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001520094,"about_ca_system_score_gemma":0.0003957577,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002992173,"about_ca_topic_score_gemma":0.0001025717,"domain_scores_codex":[0.9958982,0.0001264534,0.0007573325,0.001725184,0.0008039622,0.0006888612],"domain_scores_gemma":[0.9960503,0.002230378,0.0004674818,0.000681887,0.0004091038,0.0001608789],"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":[0.00003404998,0.00001595243,0.000009227136,0.00003176257,0.00008731634,0.00002338756,0.001636032,0.1491338,0.0001891121,0.001372528,0.000006707818,0.8474602],"study_design_scores_gemma":[0.000828225,0.0002105559,0.00003625885,0.00009381564,0.0001107018,0.00002856606,0.000001064166,0.9883235,0.0007925348,0.005666707,0.003347578,0.0005605626],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00003344924,0.001785075,0.9924526,0.0006720552,0.001668502,0.0008492026,0.00000940233,0.0002818686,0.002247909],"genre_scores_gemma":[0.4097516,0.00001846339,0.5846848,0.001859256,0.0004381527,0.00005247496,0.00004350473,0.00005338719,0.003098269],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.8468996,"threshold_uncertainty_score":0.9996706,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02990343520155037,"score_gpt":0.2801117572392014,"score_spread":0.250208322037651,"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."}}