{"id":"https://openalex.org/W7160927010","doi":"https://doi.org/10.48550/arxiv.2605.09922","title":"Team-Based Self-Play With Dual Adaptive Weighting for Fine-Tuning LLMs","display_name":"Team-Based Self-Play With Dual Adaptive Weighting for Fine-Tuning LLMs","publication_year":2026,"publication_date":"2026-05-11","ids":{"openalex":"https://openalex.org/W7160927010","doi":"https://doi.org/10.48550/arxiv.2605.09922"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2605.09922","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.09922","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","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.2605.09922","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5135996553","display_name":"Wu Li","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Wu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5123973721","display_name":"Yigeng Zhou","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhou, Yigeng","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135916700","display_name":"Zesheng Shi","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shi, Zesheng","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135976584","display_name":"Yequan Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Yequan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135991992","display_name":"Min Zhang","orcid":"https://orcid.org/0000-0002-6771-007X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Min","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5135916505","display_name":"Jing Li","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Jing","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/T11719","display_name":"Data Quality and Management","score":0.5763000249862671,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11719","display_name":"Data Quality and Management","score":0.5763000249862671,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.11739999800920486,"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/T10028","display_name":"Topic Modeling","score":0.05700000002980232,"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/weighting","display_name":"Weighting","score":0.8931000232696533},{"id":"https://openalex.org/keywords/dual","display_name":"Dual (grammatical number)","score":0.554099977016449},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.5020999908447266},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.4875999987125397},{"id":"https://openalex.org/keywords/stability","display_name":"Stability (learning theory)","score":0.44209998846054077},{"id":"https://openalex.org/keywords/a-weighting","display_name":"A-weighting","score":0.39899998903274536},{"id":"https://openalex.org/keywords/iterative-method","display_name":"Iterative method","score":0.3928000032901764},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.387800008058548}],"concepts":[{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.8931000232696533},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6097999811172485},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.554099977016449},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.5020999908447266},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.4875999987125397},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.44209998846054077},{"id":"https://openalex.org/C70136482","wikidata":"https://www.wikidata.org/wiki/Q13583781","display_name":"A-weighting","level":3,"score":0.39899998903274536},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3928000032901764},{"id":"https://openalex.org/C159694833","wikidata":"https://www.wikidata.org/wiki/Q2321565","display_name":"Iterative method","level":2,"score":0.3928000032901764},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.387800008058548},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.38350000977516174},{"id":"https://openalex.org/C21200559","wikidata":"https://www.wikidata.org/wiki/Q7451068","display_name":"Sensitivity (control systems)","level":2,"score":0.3824000060558319},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.37459999322891235},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.36970001459121704},{"id":"https://openalex.org/C160920958","wikidata":"https://www.wikidata.org/wiki/Q7662746","display_name":"Synthetic data","level":2,"score":0.35190001130104065},{"id":"https://openalex.org/C203595873","wikidata":"https://www.wikidata.org/wiki/Q25389927","display_name":"Change detection","level":2,"score":0.3434000015258789},{"id":"https://openalex.org/C43126263","wikidata":"https://www.wikidata.org/wiki/Q128751","display_name":"Source code","level":2,"score":0.32429999113082886},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3156999945640564},{"id":"https://openalex.org/C42058472","wikidata":"https://www.wikidata.org/wiki/Q810214","display_name":"Base (topology)","level":2,"score":0.30970001220703125},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.30970001220703125},{"id":"https://openalex.org/C149672232","wikidata":"https://www.wikidata.org/wiki/Q337048","display_name":"Adaptive optimization","level":2,"score":0.2919999957084656},{"id":"https://openalex.org/C80478641","wikidata":"https://www.wikidata.org/wiki/Q195771","display_name":"Sequential analysis","level":2,"score":0.2809999883174896},{"id":"https://openalex.org/C167393769","wikidata":"https://www.wikidata.org/wiki/Q4680768","display_name":"Adaptive strategies","level":2,"score":0.27129998803138733},{"id":"https://openalex.org/C2982777018","wikidata":"https://www.wikidata.org/wiki/Q99268086","display_name":"Adaptive design","level":3,"score":0.2689000070095062},{"id":"https://openalex.org/C2776003309","wikidata":"https://www.wikidata.org/wiki/Q1988072","display_name":"Adaptive algorithm","level":2,"score":0.2669000029563904},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.257999986410141}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2605.09922","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.09922","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2605.09922","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.09922","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"While":[0],"recent":[1],"self-training":[2],"approaches":[3],"have":[4],"reduced":[5],"reliance":[6],"on":[7],"human-labeled":[8],"data":[9,22],"for":[10],"aligning":[11],"LLMs,":[12],"they":[13],"still":[14],"face":[15],"critical":[16],"limitations:":[17],"(i)":[18,110],"sensitivity":[19],"to":[20,25,37,67],"synthetic":[21],"quality,":[23],"leading":[24],"instability":[26],"and":[27,43,89,97,122,164],"bias":[28],"amplification":[29],"in":[30,70,80],"iterative":[31],"training;":[32],"(ii)":[33,123],"ineffective":[34],"optimization":[35],"due":[36],"a":[38,62,71,77,111,124,139],"diminishing":[39],"gap":[40],"between":[41],"positive":[42],"negative":[44],"responses":[45],"over":[46],"successive":[47],"training":[48],"iterations.":[49],"In":[50],"this":[51],"paper,":[52],"we":[53,104],"propose":[54],"Team-based":[55],"self-Play":[56],"with":[57,88],"dual":[58],"Adaptive":[59],"Weighting":[60],"(TPAW),":[61],"novel":[63],"self-play":[64],"algorithm":[65],"designed":[66],"improve":[68],"alignment":[69,145],"fully":[72],"self-supervised":[73],"setting.":[74],"TPAW":[75,142,155],"adopts":[76],"team-based":[78],"framework":[79],"which":[81],"the":[82,117],"current":[83],"policy":[84],"model":[85],"both":[86],"collaborates":[87],"competes":[90],"against":[91],"historical":[92],"checkpoints,":[93],"promoting":[94],"more":[95],"stable":[96],"efficient":[98],"optimization.":[99],"To":[100],"further":[101],"enhance":[102],"learning,":[103],"design":[105],"two":[106],"adaptive":[107],"weighting":[108,126],"mechanisms:":[109],"response":[112],"reweighting":[113],"scheme":[114],"that":[115,128,154],"adjusts":[116],"importance":[118],"of":[119],"target":[120],"responses,":[121],"player":[125],"strategy":[127],"dynamically":[129],"modulates":[130],"each":[131],"team":[132],"member's":[133],"contribution":[134],"during":[135],"training.":[136],"Initialized":[137],"from":[138],"SFT":[140],"model,":[141],"iteratively":[143],"refines":[144],"without":[146],"requiring":[147],"additional":[148],"human":[149],"supervision.":[150],"Experimental":[151],"results":[152],"demonstrate":[153],"consistently":[156],"outperforms":[157],"existing":[158],"baselines":[159],"across":[160],"various":[161],"base":[162],"models":[163],"LLM":[165],"benchmarks.":[166],"Our":[167],"code":[168],"is":[169],"publicly":[170],"available":[171],"at":[172],"https://github.com/lab-klc/TPAW.":[173]},"counts_by_year":[],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2026-05-13T00:00:00"}