{"id":"https://openalex.org/W4407244774","doi":"https://doi.org/10.48550/arxiv.2502.03678","title":"Reflection-Window Decoding: Text Generation with Selective Refinement","display_name":"Reflection-Window Decoding: Text Generation with Selective Refinement","publication_year":2025,"publication_date":"2025-02-05","ids":{"openalex":"https://openalex.org/W4407244774","doi":"https://doi.org/10.48550/arxiv.2502.03678"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2502.03678","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2502.03678","pdf_url":"https://arxiv.org/pdf/2502.03678","source":{"id":"https://openalex.org/S4393918464","display_name":"ArXiv.org","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","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/2502.03678","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5006403327","display_name":"Zeyu Tang","orcid":"https://orcid.org/0000-0002-4423-4728"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Tang, Zeyu","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5106669775","display_name":"Zhenhao Chen","orcid":"https://orcid.org/0009-0004-0560-728X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chen, Zhenhao","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088884102","display_name":"Xiangchen Song","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Song, Xiangchen","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101307847","display_name":"Loka Li","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Loka","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063510660","display_name":"Deng Yun-long","orcid":"https://orcid.org/0000-0003-2544-8146"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Deng, Yunlong","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000183853","display_name":"Yifan Shen","orcid":"https://orcid.org/0009-0001-9593-2665"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shen, Yifan","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088257057","display_name":"Guangyi Chen","orcid":"https://orcid.org/0000-0001-7542-5378"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chen, Guangyi","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047533473","display_name":"Peter Spirtes","orcid":"https://orcid.org/0000-0002-1385-190X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Spirtes, Peter","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5100342309","display_name":"Kun Zhang","orcid":"https://orcid.org/0000-0002-0738-9958"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Kun","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":9,"corresponding_author_ids":["https://openalex.org/A5006403327"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9480000138282776,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9480000138282776,"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/window","display_name":"Window (computing)","score":0.8032445907592773},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.7925577163696289},{"id":"https://openalex.org/keywords/reflection","display_name":"Reflection (computer programming)","score":0.762955367565155},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.49050968885421753},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.23758667707443237},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.09484449028968811},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.05890733003616333}],"concepts":[{"id":"https://openalex.org/C2778751112","wikidata":"https://www.wikidata.org/wiki/Q835016","display_name":"Window (computing)","level":2,"score":0.8032445907592773},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.7925577163696289},{"id":"https://openalex.org/C65682993","wikidata":"https://www.wikidata.org/wiki/Q1056451","display_name":"Reflection (computer programming)","level":2,"score":0.762955367565155},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.49050968885421753},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.23758667707443237},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.09484449028968811},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.05890733003616333}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2502.03678","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2502.03678","pdf_url":"https://arxiv.org/pdf/2502.03678","source":{"id":"https://openalex.org/S4393918464","display_name":"ArXiv.org","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.2502.03678","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2502.03678","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2502.03678","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2502.03678","pdf_url":"https://arxiv.org/pdf/2502.03678","source":{"id":"https://openalex.org/S4393918464","display_name":"ArXiv.org","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3497591915","display_name":null,"funder_award_id":"(NIH)","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"},{"id":"https://openalex.org/G7735959302","display_name":null,"funder_award_id":"R01HL159805","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"},{"id":"https://openalex.org/G826810440","display_name":null,"funder_award_id":"2229881","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320332161","display_name":"National Institutes of Health","ror":"https://ror.org/01cwqze88"}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4407244774.pdf"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390901981","https://openalex.org/W2390279801","https://openalex.org/W2109115373","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109"],"abstract_inverted_index":{"The":[0],"autoregressive":[1,111],"decoding":[2,112,142],"for":[3,113],"text":[4,95,114],"generation":[5,104,134],"in":[6,40],"large":[7],"language":[8],"models":[9],"(LLMs),":[10],"while":[11],"widely":[12],"used,":[13],"is":[14,76],"inherently":[15],"suboptimal":[16],"due":[17],"to":[18,25,87],"the":[19,31,43,47,56,62,66,78,100,103,108,141,161],"lack":[20],"of":[21,30,42,65,77,102,110,163],"a":[22,122,127,149],"built-in":[23],"mechanism":[24],"perform":[26],"refinement":[27,132,146],"and/or":[28],"correction":[29],"generated":[32,48,68],"content.":[33],"In":[34],"this":[35],"paper,":[36],"we":[37,85,116],"consider":[38],"optimality":[39],"terms":[41],"joint":[44],"probability":[45],"over":[46],"response,":[49],"when":[50,90],"jointly":[51],"considering":[52],"all":[53],"tokens":[54],"at":[55],"same":[57,79],"time.":[58],"We":[59],"theoretically":[60],"characterize":[61],"potential":[63],"deviation":[64],"autoregressively":[67],"response":[69],"from":[70],"its":[71],"globally":[72],"optimal":[73],"counterpart":[74],"that":[75,84,120,131],"length.":[80],"Our":[81,144],"analysis":[82],"suggests":[83],"need":[86],"be":[88,136],"cautious":[89],"noticeable":[91],"uncertainty":[92],"arises":[93],"during":[94],"generation,":[96,115],"which":[97],"may":[98],"signal":[99],"sub-optimality":[101],"history.":[105],"To":[106],"address":[107],"pitfall":[109],"propose":[117],"an":[118],"approach":[119],"incorporates":[121],"sliding":[123],"reflection":[124],"window":[125],"and":[126,133,153,155],"pausing":[128],"criterion,":[129],"such":[130],"can":[135],"carried":[137],"out":[138],"interchangeably":[139],"as":[140],"proceeds.":[143],"selective":[145],"framework":[147],"strikes":[148],"balance":[150],"between":[151],"efficiency":[152],"optimality,":[154],"our":[156,164],"extensive":[157],"experimental":[158],"results":[159],"demonstrate":[160],"effectiveness":[162],"approach.":[165]},"counts_by_year":[],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2025-10-10T00:00:00"}