{"id":"https://openalex.org/W7167239848","doi":"https://doi.org/10.48550/arxiv.2607.02502","title":"DemoPSD: Disagreement-Modulated Policy Self-Distillation","display_name":"DemoPSD: Disagreement-Modulated Policy Self-Distillation","publication_year":2026,"publication_date":"2026-07-02","ids":{"openalex":"https://openalex.org/W7167239848","doi":"https://doi.org/10.48550/arxiv.2607.02502"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2607.02502","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2607.02502","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.2607.02502","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101823426","display_name":"Yunhe Li","orcid":"https://orcid.org/0000-0002-5656-0766"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Yunhe","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5139965735","display_name":"Hao Shi","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shi, Hao","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5139983184","display_name":"Wenhao Liu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liu, Wenhao","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102808478","display_name":"M. Ruan","orcid":"https://orcid.org/0009-0008-0458-5751"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ruan, Mengzhe","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039863234","display_name":"Hanxu Hou","orcid":"https://orcid.org/0000-0001-7328-9341"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hou, Hanxu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5139996098","display_name":"Zhongxiang Dai","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dai, Zhongxiang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5139997366","display_name":"Shuang Qiu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Qiu, Shuang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5066091038","display_name":"\u5415\u677e L\u00fc Song","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Song, Linqi","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/T10028","display_name":"Topic Modeling","score":0.37049999833106995,"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"}},"topics":[{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.37049999833106995,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.0737999975681305,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.05420000106096268,"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/overfitting","display_name":"Overfitting","score":0.8507999777793884},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.5684999823570251},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.5582000017166138},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.4884999990463257},{"id":"https://openalex.org/keywords/security-token","display_name":"Security token","score":0.37940001487731934},{"id":"https://openalex.org/keywords/language-model","display_name":"Language model","score":0.3617999851703644},{"id":"https://openalex.org/keywords/test","display_name":"Test (biology)","score":0.352400004863739}],"concepts":[{"id":"https://openalex.org/C22019652","wikidata":"https://www.wikidata.org/wiki/Q331309","display_name":"Overfitting","level":3,"score":0.8507999777793884},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.5684999823570251},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.5582000017166138},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5519999861717224},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.4884999990463257},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4180999994277954},{"id":"https://openalex.org/C48145219","wikidata":"https://www.wikidata.org/wiki/Q1335365","display_name":"Security token","level":2,"score":0.37940001487731934},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.3617999851703644},{"id":"https://openalex.org/C2777267654","wikidata":"https://www.wikidata.org/wiki/Q3519023","display_name":"Test (biology)","level":2,"score":0.352400004863739},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32030001282691956},{"id":"https://openalex.org/C2987567764","wikidata":"https://www.wikidata.org/wiki/Q125421","display_name":"Second language","level":2,"score":0.28929999470710754},{"id":"https://openalex.org/C9679016","wikidata":"https://www.wikidata.org/wiki/Q1417473","display_name":"Principle of maximum entropy","level":2,"score":0.2883000075817108},{"id":"https://openalex.org/C101721835","wikidata":"https://www.wikidata.org/wiki/Q813908","display_name":"Conditional entropy","level":3,"score":0.2721000015735626},{"id":"https://openalex.org/C145420912","wikidata":"https://www.wikidata.org/wiki/Q853077","display_name":"Mathematics education","level":1,"score":0.26980000734329224},{"id":"https://openalex.org/C52622258","wikidata":"https://www.wikidata.org/wiki/Q131222","display_name":"Information theory","level":2,"score":0.267300009727478},{"id":"https://openalex.org/C2780922921","wikidata":"https://www.wikidata.org/wiki/Q255189","display_name":"Paraphrase","level":2,"score":0.2651999890804291},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.2624000012874603},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.2542000114917755}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2607.02502","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2607.02502","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.2607.02502","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2607.02502","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":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.7154110670089722}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"On-policy":[0],"self-distillation":[1],"(OPSD)":[2],"has":[3],"emerged":[4],"as":[5,22],"a":[6,18,66,88,116,120,154],"practical":[7],"method":[8],"for":[9],"training":[10,213],"large":[11],"language":[12],"models":[13],"(LLMs)":[14],"to":[15,52,54,156,218],"reason,":[16],"where":[17,73],"single":[19],"model":[20],"acts":[21],"both":[23,206],"the":[24,27,41,74,96,107,113,125,135,139,146,159],"teacher":[25,102,109,126,136],"and":[26,59,127,151,181,208,215],"student":[28,75,114,128],"with":[29,137],"different":[30],"levels":[31],"of":[32,98,101,105,124,177,187],"information":[33,71,179],"access.":[34],"However,":[35],"recent":[36],"studies":[37],"have":[38],"found":[39],"that":[40,79,91,130,168,203],"teacher's":[42],"dense":[43,191],"token-level":[44,192],"supervision,":[45],"conditioned":[46],"on":[47,196],"privileged":[48,178],"information,":[49],"can":[50],"lead":[51],"overfitting":[53],"in-domain":[55],"patterns,":[56],"suppress":[57],"exploration,":[58],"hurt":[60],"cross-domain":[61],"generalization,":[62],"while":[63,210],"also":[64],"introducing":[65],"more":[67],"fundamental":[68],"issue:":[69],"*privileged":[70],"leakage*,":[72],"encodes":[76],"answer-dependent":[77],"shortcuts":[78],"are":[80],"unavailable":[81],"at":[82,161],"test":[83],"time.":[84],"We":[85,144,165],"introduce":[86],"**DemoPSD**,":[87],"novel":[89],"framework":[90],"resolves":[92],"such":[93,153],"problems":[94],"through":[95],"idea":[97],"*selective":[99],"adoption":[100],"guidance*.":[103],"Instead":[104],"fitting":[106],"full":[108],"distribution,":[110],"DemoPSD":[111,169,204],"steers":[112],"toward":[115],"*reverse-KL":[117],"barycenter":[118],"target*,":[119],"weighted":[121],"geometric":[122],"combination":[123],"distributions,":[129],"naturally":[131],"balances":[132],"learning":[133],"from":[134],"preserving":[138],"student's":[140],"own":[141],"reasoning":[142],"capacity.":[143],"measure":[145],"difference":[147],"between":[148],"their":[149],"distributions":[150],"use":[152],"discrepancy":[155],"adaptively":[157],"control":[158],"blending":[160],"each":[162],"token":[163],"position.":[164],"provably":[166],"show":[167,202],"achieves":[170],"**(1)**":[171],"*leakage":[172],"attenuation*,":[173],"i.e.,":[174,185],"effective":[175],"mitigation":[176],"leakage;":[180],"**(2)**":[182],"*exploration":[183],"preservation*,":[184],"preservation":[186],"exploration":[188],"capacity":[189],"under":[190],"distillation.":[193],"Extensive":[194],"experiments":[195],"SciKnowEval":[197],"across":[198],"four":[199],"scientific":[200],"fields":[201],"outperforms":[205],"GRPO":[207],"SDPO":[209],"maintaining":[211],"higher":[212],"entropy":[214],"robustly":[216],"generalizing":[217],"out-of-distribution":[219],"GPQA":[220],"benchmarks.":[221]},"counts_by_year":[],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2026-07-04T00:00:00"}
