{"id":"https://openalex.org/W4415108694","doi":"https://doi.org/10.48550/arxiv.2506.13358","title":"Socratic RL: A Novel Framework for Efficient Knowledge Acquisition through Iterative Reflection and Viewpoint Distillation","display_name":"Socratic RL: A Novel Framework for Efficient Knowledge Acquisition through Iterative Reflection and Viewpoint Distillation","publication_year":2025,"publication_date":"2025-06-16","ids":{"openalex":"https://openalex.org/W4415108694","doi":"https://doi.org/10.48550/arxiv.2506.13358"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2506.13358","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2506.13358","pdf_url":"https://arxiv.org/pdf/2506.13358","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"type":"preprint","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2506.13358","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5112801766","display_name":"Xiaoguang Wu","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Wu, Xiangfan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5112801766"],"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/T10320","display_name":"Neural Networks and Applications","score":0.9082000255584717,"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/T10320","display_name":"Neural Networks and Applications","score":0.9082000255584717,"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/process","display_name":"Process (computing)","score":0.6197999715805054},{"id":"https://openalex.org/keywords/iterative-and-incremental-development","display_name":"Iterative and incremental development","score":0.5450999736785889},{"id":"https://openalex.org/keywords/viewpoints","display_name":"Viewpoints","score":0.5418000221252441},{"id":"https://openalex.org/keywords/reflection","display_name":"Reflection (computer programming)","score":0.5414000153541565},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.5300999879837036},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.490200012922287},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.4205999970436096}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.724399983882904},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.6197999715805054},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.546999990940094},{"id":"https://openalex.org/C143587482","wikidata":"https://www.wikidata.org/wiki/Q1543216","display_name":"Iterative and incremental development","level":2,"score":0.5450999736785889},{"id":"https://openalex.org/C2776035091","wikidata":"https://www.wikidata.org/wiki/Q7928819","display_name":"Viewpoints","level":2,"score":0.5418000221252441},{"id":"https://openalex.org/C65682993","wikidata":"https://www.wikidata.org/wiki/Q1056451","display_name":"Reflection (computer programming)","level":2,"score":0.5414000153541565},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.5300999879837036},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.490200012922287},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.4205999970436096},{"id":"https://openalex.org/C204030448","wikidata":"https://www.wikidata.org/wiki/Q101017","display_name":"Distillation","level":2,"score":0.36739999055862427},{"id":"https://openalex.org/C2781181686","wikidata":"https://www.wikidata.org/wiki/Q4226068","display_name":"Coherence (philosophical gambling strategy)","level":2,"score":0.3411000072956085},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3325999975204468},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32760000228881836},{"id":"https://openalex.org/C77967617","wikidata":"https://www.wikidata.org/wiki/Q4677561","display_name":"Active learning (machine learning)","level":2,"score":0.31839999556541443},{"id":"https://openalex.org/C2777220311","wikidata":"https://www.wikidata.org/wiki/Q6423340","display_name":"Knowledge acquisition","level":2,"score":0.30399999022483826},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.272599995136261},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.2587999999523163},{"id":"https://openalex.org/C89611455","wikidata":"https://www.wikidata.org/wiki/Q6804646","display_name":"Mechanism (biology)","level":2,"score":0.2531000077724457}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2506.13358","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2506.13358","pdf_url":"https://arxiv.org/pdf/2506.13358","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.2506.13358","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2506.13358","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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":"public-domain","license_id":"https://openalex.org/licenses/public-domain","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2506.13358","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2506.13358","pdf_url":"https://arxiv.org/pdf/2506.13358","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"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":{"Current":[0],"Reinforcement":[1,34],"Learning":[2,35],"(RL)":[3],"methodologies":[4],"for":[5,62,172,191],"Large":[6],"Language":[7],"Models":[8],"(LLMs)":[9],"often":[10],"rely":[11],"on":[12,48,58,151],"simplistic,":[13],"outcome-based":[14],"reward":[15],"signals":[16],"(e.g.,":[17],"final":[18],"answer":[19],"correctness),":[20],"which":[21],"limits":[22],"the":[23,49,59,67,116,120,135,146,179],"depth":[24],"of":[25,119,137],"learning":[26],"from":[27],"each":[28],"interaction.":[29],"This":[30,176],"paper":[31,177],"introduces":[32],"Socratic":[33],"(Socratic-RL),":[36],"a":[37,74,79,104,130,139,159,168,187],"novel,":[38],"process-oriented":[39],"framework":[40,72],"designed":[41],"to":[42,107,127],"address":[43],"this":[44,192],"limitation.":[45],"Socratic-RL":[46,157],"operates":[47],"principle":[50],"that":[51],"deeper":[52],"understanding":[53],"is":[54,115],"achieved":[55],"by":[56,103],"reflecting":[57],"causal":[60,86],"reasons":[61],"errors":[63],"and":[64,88,167,186],"successes":[65],"within":[66],"reasoning":[68],"process":[69,152],"itself.":[70],"The":[71],"employs":[73],"decoupled":[75],"\"Teacher-Student\"":[76],"architecture,":[77],"where":[78],"\"Teacher":[80],"AI\"":[81,106],"analyzes":[82],"interaction":[83],"histories,":[84],"extracts":[85],"insights,":[87],"formulates":[89],"them":[90],"into":[91,145],"structured":[92],"\"viewpoints.\"":[93],"These":[94],"viewpoints,":[95],"acting":[96],"as":[97],"distilled":[98],"guidance,":[99],"are":[100],"then":[101],"used":[102],"\"Student":[105],"enhance":[108],"its":[109,124],"subsequent":[110],"reasoning.":[111],"A":[112],"key":[113],"innovation":[114],"iterative":[117],"self-improvement":[118],"Teacher":[121],"AI,":[122],"enabling":[123],"reflective":[125],"capabilities":[126],"evolve":[128],"through":[129],"meta-learning":[131],"loop.":[132],"To":[133],"manage":[134],"accumulation":[136],"knowledge,":[138],"distillation":[140],"mechanism":[141],"compresses":[142],"learned":[143],"viewpoints":[144],"Student's":[147],"parameters.":[148],"By":[149],"focusing":[150],"rather":[153],"than":[154],"just":[155],"outcome,":[156],"presents":[158],"pathway":[160],"toward":[161],"enhanced":[162],"sample":[163],"efficiency,":[164],"superior":[165],"interpretability,":[166],"more":[169],"scalable":[170],"architecture":[171],"self-improving":[173],"AI":[174],"systems.":[175],"details":[178],"foundational":[180],"concepts,":[181],"formal":[182],"mechanisms,":[183],"synergies,":[184],"challenges,":[185],"concrete":[188],"research":[189],"roadmap":[190],"proposed":[193],"framework.":[194]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2025-10-13T00:00:00"}