{"id":"https://openalex.org/W7171503236","doi":"https://doi.org/10.48550/arxiv.2607.24255","title":"OxygenREC-v2: Internalizing Discrimination into Generative Recommendation","display_name":"OxygenREC-v2: Internalizing Discrimination into Generative Recommendation","publication_year":2026,"publication_date":"2026-07-27","ids":{"openalex":"https://openalex.org/W7171503236","doi":"https://doi.org/10.48550/arxiv.2607.24255"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2607.24255","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2607.24255","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2607.24255","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5123644821","display_name":"Guo Tang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tang, Guo","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075613112","display_name":"Hanye Wu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wu, Hanye","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5134681430","display_name":"Changjiang Han","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Han, Changjiang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5143826727","display_name":"Qingyang Li","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Qingyang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5143837903","display_name":"Ming Zhang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Ming","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5121619414","display_name":"Xiangyu Qian","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Qian, Xiangyu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042879386","display_name":"Yanchen Qiao","orcid":"https://orcid.org/0000-0002-5009-3095"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Qiao, Yanchen","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5143762520","display_name":"Huanjie Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Huanjie","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5143748950","display_name":"Zhi Ma","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ma, Zhi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5143774781","display_name":"Zhen Li","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Zhen","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5143861488","display_name":"Yaqiang Zang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zang, Yaqiang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5050867621","display_name":"Pinghua Gong","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gong, Pinghua","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.2092999964952469,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.2092999964952469,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.12099999934434891,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13702","display_name":"Machine Learning in Healthcare","score":0.10620000213384628,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.8738999962806702},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.802299976348877},{"id":"https://openalex.org/keywords/generative-model","display_name":"Generative model","score":0.545199990272522},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.4952999949455261},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.39590001106262207},{"id":"https://openalex.org/keywords/preference","display_name":"Preference","score":0.32829999923706055}],"concepts":[{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.8738999962806702},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.802299976348877},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.71670001745224},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5824000239372253},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.545199990272522},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.4952999949455261},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.49070000648498535},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.39590001106262207},{"id":"https://openalex.org/C2781249084","wikidata":"https://www.wikidata.org/wiki/Q908656","display_name":"Preference","level":2,"score":0.32829999923706055},{"id":"https://openalex.org/C154504017","wikidata":"https://www.wikidata.org/wiki/Q853614","display_name":"Identifier","level":2,"score":0.31949999928474426},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.30000001192092896},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.2980000078678131},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.29580000042915344},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.28850001096725464},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.27880001068115234}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2607.24255","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2607.24255","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2607.24255","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2607.24255","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.7471132874488831,"id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Generative":[0,68],"recommendation":[1],"unifies":[2],"retrieval":[3],"and":[4,26,36,55,85,138,160],"ranking":[5],"within":[6],"a":[7,44,48,61,74,90,126,134],"single":[8,127],"model":[9],"by":[10,158,162],"autoregressively":[11],"decoding":[12],"semantic":[13],"identifier":[14],"(SID)":[15],"sequences.":[16],"Yet":[17],"reliably":[18],"incorporating":[19],"behavior":[20,81,91],"signals":[21],"from":[22],"clicks,":[23],"cart":[24],"additions,":[25],"orders":[27],"remains":[28],"challenging.":[29],"Existing":[30],"approaches":[31],"either":[32],"jointly":[33],"optimize":[34],"generative":[35,62],"discriminative":[37,76],"objectives,":[38],"requiring":[39],"delicate":[40],"trade-offs,":[41],"or":[42],"use":[43],"separate":[45,75],"ranker":[46],"as":[47,106,133],"post-hoc":[49],"reinforcement-learning":[50],"reward,":[51],"risking":[52],"out-of-distribution":[53],"scoring":[54],"reward":[56],"misalignment.":[57],"We":[58,130],"propose":[59],"OxygenREC-v2,":[60],"recommender":[63],"that":[64],"Internalizes":[65],"Discrimination":[66],"into":[67],"Recommendation":[69],"(IDGR).":[70],"Rather":[71],"than":[72],"adding":[73],"objective,":[77],"OxygenREC-v2":[78,124,132,151],"uses":[79],"logged":[80],"to":[82],"condition":[83],"generation":[84,94],"supervise":[86],"training.":[87],"During":[88,99],"pre-training,":[89],"instruction":[92],"conditions":[93],"on":[95,141],"the":[96],"target":[97],"behavior.":[98],"post-training,":[100],"future":[101],"interaction":[102],"behaviors":[103],"are":[104],"exploited":[105],"privileged":[107],"knowledge":[108],"in":[109],"our":[110],"entropy-aware":[111],"trajectory":[112],"optimization":[113],"self-distillation":[114],"framework,":[115],"enabling":[116],"reward-model-free":[117],"policy":[118],"optimization.":[119],"Throughout":[120],"both":[121],"training":[122],"stages,":[123],"maintains":[125],"unified":[128],"backbone.":[129],"implement":[131],"3B-parameter,":[135],"1B-activated":[136],"MoE":[137],"deploy":[139],"it":[140],"JD.com's":[142],"large-scale":[143],"e-commerce":[144],"platform.":[145],"Across":[146],"multiple":[147],"online":[148],"A/B":[149],"tests,":[150],"improves":[152],"user":[153],"click-through":[154],"conversion":[155],"rate":[156],"(UCTCVR)":[157],"1.6--4.4%":[159],"GMV":[161],"2.8--6.8%":[163],"over":[164],"OxygenREC-v1.":[165]},"counts_by_year":[],"updated_date":"2026-07-29T09:40:50.615796","created_date":"2026-07-29T00:00:00"}
