{"id":"https://openalex.org/W4408355103","doi":"https://doi.org/10.1109/icassp49660.2025.10890064","title":"SUGAR: Leveraging Contextual Confidence for Smarter Retrieval","display_name":"SUGAR: Leveraging Contextual Confidence for Smarter Retrieval","publication_year":2025,"publication_date":"2025-03-12","ids":{"openalex":"https://openalex.org/W4408355103","doi":"https://doi.org/10.1109/icassp49660.2025.10890064"},"language":"en","primary_location":{"id":"doi:10.1109/icassp49660.2025.10890064","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49660.2025.10890064","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5115843748","display_name":"Hanna Zubkova","orcid":null},"institutions":[{"id":"https://openalex.org/I197347611","display_name":"Korea University","ror":"https://ror.org/047dqcg40","country_code":"KR","type":"education","lineage":["https://openalex.org/I197347611"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Hanna Zubkova","raw_affiliation_strings":["Korea University,Department of Artificial Intelligence,Seoul,Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Korea University,Department of Artificial Intelligence,Seoul,Korea","institution_ids":["https://openalex.org/I197347611"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111978986","display_name":"Ji-Hoon Park","orcid":null},"institutions":[{"id":"https://openalex.org/I197347611","display_name":"Korea University","ror":"https://ror.org/047dqcg40","country_code":"KR","type":"education","lineage":["https://openalex.org/I197347611"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Ji-Hoon Park","raw_affiliation_strings":["Korea University,Department of Artificial Intelligence,Seoul,Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Korea University,Department of Artificial Intelligence,Seoul,Korea","institution_ids":["https://openalex.org/I197347611"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108203384","display_name":"Seong-Whan Lee","orcid":null},"institutions":[{"id":"https://openalex.org/I197347611","display_name":"Korea University","ror":"https://ror.org/047dqcg40","country_code":"KR","type":"education","lineage":["https://openalex.org/I197347611"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Seong-Whan Lee","raw_affiliation_strings":["Korea University,Department of Artificial Intelligence,Seoul,Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Korea University,Department of Artificial Intelligence,Seoul,Korea","institution_ids":["https://openalex.org/I197347611"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":5.2763,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.94738299,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9872000217437744,"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":0.9872000217437744,"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/T10203","display_name":"Recommender Systems and Techniques","score":0.9686999917030334,"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/T11719","display_name":"Data Quality and Management","score":0.9555000066757202,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7166893482208252},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.412636935710907},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.40902531147003174}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7166893482208252},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.412636935710907},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40902531147003174}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp49660.2025.10890064","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49660.2025.10890064","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321373","display_name":"Korea University","ror":"https://ror.org/047dqcg40"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W1973181164","https://openalex.org/W2104558951","https://openalex.org/W2889787757","https://openalex.org/W2912924812","https://openalex.org/W2963339397","https://openalex.org/W2963748441","https://openalex.org/W2989793251","https://openalex.org/W3082414409","https://openalex.org/W3088811935","https://openalex.org/W3115947671","https://openalex.org/W4205857304","https://openalex.org/W4385570777","https://openalex.org/W4385571271","https://openalex.org/W4385571655","https://openalex.org/W4389518895","https://openalex.org/W4389519118","https://openalex.org/W4389519963","https://openalex.org/W4401042418","https://openalex.org/W4401042753","https://openalex.org/W4402670688","https://openalex.org/W4402671287","https://openalex.org/W6774222543","https://openalex.org/W6777615688","https://openalex.org/W6778883912","https://openalex.org/W6810738896","https://openalex.org/W6849413121","https://openalex.org/W6849921291","https://openalex.org/W6850423384","https://openalex.org/W6858095362"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"Bearing":[0],"in":[1],"mind":[2],"the":[3,19,30,49,117],"limited":[4],"parametric":[5],"knowledge":[6,22],"of":[7,32],"Large":[8],"Language":[9],"Models":[10],"(LLMs),":[11],"retrieval-augmented":[12],"generation":[13,45],"(RAG)":[14],"which":[15],"supplies":[16],"them":[17],"with":[18],"relevant":[20],"external":[21],"has":[23],"served":[24],"as":[25,47,124,126],"an":[26,69],"approach":[27],"to":[28,34,89,93,96],"mitigate":[29],"issue":[31],"hallucinations":[33],"a":[35,59,128],"certain":[36],"extent.":[37],"However,":[38],"uniformly":[39],"retrieving":[40],"supporting":[41],"context":[42],"makes":[43],"response":[44],"source-inefficient,":[46],"triggering":[48],"retriever":[50],"is":[51],"not":[52],"always":[53],"necessary,":[54],"or":[55],"even":[56],"inaccurate,":[57],"when":[58],"model":[60],"gets":[61],"distracted":[62],"by":[63,73,112],"noisy":[64],"retrieved":[65],"content":[66],"and":[67,95,101],"produces":[68],"unhelpful":[70],"answer.":[71],"Motivated":[72],"these":[74],"issues,":[75],"we":[76,85],"introduce":[77],"Semantic":[78],"Uncertainty":[79],"Guided":[80],"Adaptive":[81],"Retrieval":[82],"(SUGAR),":[83],"where":[84],"leverage":[86],"context-based":[87],"entropy":[88],"actively":[90],"decide":[91],"whether":[92],"retrieve":[94],"further":[97],"determine":[98],"between":[99],"single-step":[100],"multi-step":[102],"retrieval.":[103],"Our":[104],"empirical":[105],"results":[106],"show":[107],"that":[108],"selective":[109],"retrieval":[110],"guided":[111],"semantic":[113],"uncertainty":[114],"estimation":[115],"improves":[116],"performance":[118],"across":[119],"diverse":[120],"question":[121],"answering":[122],"tasks,":[123],"well":[125],"achieves":[127],"more":[129],"efficient":[130],"inference.":[131]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
