{"id":"https://openalex.org/W4412673558","doi":"https://doi.org/10.1145/3731120.3744590","title":"Oreo: A Plug-in Context Reconstructor to Enhance Retrieval-Augmented Generation","display_name":"Oreo: A Plug-in Context Reconstructor to Enhance Retrieval-Augmented Generation","publication_year":2025,"publication_date":"2025-07-18","ids":{"openalex":"https://openalex.org/W4412673558","doi":"https://doi.org/10.1145/3731120.3744590"},"language":"en","primary_location":{"id":"doi:10.1145/3731120.3744590","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3731120.3744590","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2025 International ACM SIGIR Conference on Innovative Concepts and Theories in Information Retrieval (ICTIR)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://hdl.handle.net/10919/136950","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5033660393","display_name":"Sha Li","orcid":"https://orcid.org/0000-0003-4393-9977"},"institutions":[{"id":"https://openalex.org/I859038795","display_name":"Virginia Tech","ror":"https://ror.org/02smfhw86","country_code":"US","type":"education","lineage":["https://openalex.org/I859038795"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sha Li","raw_affiliation_strings":["Virginia Tech, Blacksburg, VA, USA"],"raw_orcid":"https://orcid.org/0000-0003-4393-9977","affiliations":[{"raw_affiliation_string":"Virginia Tech, Blacksburg, VA, USA","institution_ids":["https://openalex.org/I859038795"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035052603","display_name":"Naren Ramakrishnan","orcid":"https://orcid.org/0000-0002-1821-9743"},"institutions":[{"id":"https://openalex.org/I859038795","display_name":"Virginia Tech","ror":"https://ror.org/02smfhw86","country_code":"US","type":"education","lineage":["https://openalex.org/I859038795"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Naren Ramakrishnan","raw_affiliation_strings":["Virginia Tech, Alexandria, VA, USA"],"raw_orcid":"https://orcid.org/0000-0002-1821-9743","affiliations":[{"raw_affiliation_string":"Virginia Tech, Alexandria, VA, USA","institution_ids":["https://openalex.org/I859038795"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I859038795"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"238","last_page":"253"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":0.9902999997138977,"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/T10201","display_name":"Speech Recognition and Synthesis","score":0.9902999997138977,"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":0.9901999831199646,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9878000020980835,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7037944197654724},{"id":"https://openalex.org/keywords/plug-in","display_name":"Plug-in","score":0.6435900926589966},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5849254131317139},{"id":"https://openalex.org/keywords/software-engineering","display_name":"Software engineering","score":0.38979828357696533},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.33062314987182617},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.09372451901435852}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7037944197654724},{"id":"https://openalex.org/C4924752","wikidata":"https://www.wikidata.org/wiki/Q184148","display_name":"Plug-in","level":2,"score":0.6435900926589966},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5849254131317139},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.38979828357696533},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.33062314987182617},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.09372451901435852},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3731120.3744590","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3731120.3744590","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2025 International ACM SIGIR Conference on Innovative Concepts and Theories in Information Retrieval (ICTIR)","raw_type":"proceedings-article"},{"id":"pmh:oai:vtechworks.lib.vt.edu:10919/136950","is_oa":true,"landing_page_url":"https://hdl.handle.net/10919/136950","pdf_url":null,"source":{"id":"https://openalex.org/S4306400248","display_name":"VTechWorks (Virginia Tech)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I859038795","host_organization_name":"Virginia Tech","host_organization_lineage":["https://openalex.org/I859038795"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":null,"raw_type":"Article - Refereed"}],"best_oa_location":{"id":"pmh:oai:vtechworks.lib.vt.edu:10919/136950","is_oa":true,"landing_page_url":"https://hdl.handle.net/10919/136950","pdf_url":null,"source":{"id":"https://openalex.org/S4306400248","display_name":"VTechWorks (Virginia Tech)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I859038795","host_organization_name":"Virginia Tech","host_organization_lineage":["https://openalex.org/I859038795"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":null,"raw_type":"Article - Refereed"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":52,"referenced_works":["https://openalex.org/W2069065514","https://openalex.org/W2889787757","https://openalex.org/W2912924812","https://openalex.org/W2963339397","https://openalex.org/W2981852735","https://openalex.org/W3021397474","https://openalex.org/W3034383590","https://openalex.org/W3099700870","https://openalex.org/W3115947671","https://openalex.org/W3173343821","https://openalex.org/W3175515348","https://openalex.org/W3176626464","https://openalex.org/W3217305727","https://openalex.org/W4226369848","https://openalex.org/W4251326898","https://openalex.org/W4281759695","https://openalex.org/W4285254025","https://openalex.org/W4287887100","https://openalex.org/W4288089799","https://openalex.org/W4307079201","https://openalex.org/W4382202847","https://openalex.org/W4384890816","https://openalex.org/W4385569963","https://openalex.org/W4385570777","https://openalex.org/W4385573003","https://openalex.org/W4385573912","https://openalex.org/W4387322976","https://openalex.org/W4389518782","https://openalex.org/W4389518789","https://openalex.org/W4389519226","https://openalex.org/W4389520460","https://openalex.org/W4389520468","https://openalex.org/W4389520758","https://openalex.org/W4389524398","https://openalex.org/W4389524473","https://openalex.org/W4391376033","https://openalex.org/W4391836235","https://openalex.org/W4400525811","https://openalex.org/W4400529966","https://openalex.org/W4401042773","https://openalex.org/W4402670727","https://openalex.org/W4402670850","https://openalex.org/W4402671663","https://openalex.org/W4402671835","https://openalex.org/W4402671977","https://openalex.org/W4404688462","https://openalex.org/W4404781906","https://openalex.org/W4404781911","https://openalex.org/W4404782813","https://openalex.org/W4411638747","https://openalex.org/W6811284106","https://openalex.org/W6838860814"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W47352601","https://openalex.org/W4286950177","https://openalex.org/W4285337522","https://openalex.org/W3203498468","https://openalex.org/W2464866501","https://openalex.org/W2289852464","https://openalex.org/W2788261136"],"abstract_inverted_index":{"Retrieval-Augmented":[0],"Generation":[1],"(RAG)":[2],"aims":[3,64],"to":[4,22,53,65,108],"augment":[5],"the":[6,37,69,101],"capabilities":[7],"of":[8,39],"Large":[9],"Language":[10],"Models":[11],"(LLMs)":[12],"by":[13],"retrieving":[14],"and":[15,49,67,72,90,97,116],"incorporating":[16],"external":[17],"documents":[18],"or":[19,32],"chunks":[20,56],"prior":[21],"generation.":[23,61],"However,":[24],"even":[25],"improved":[26],"retriever":[27],"relevance":[28],"can":[29],"bring":[30],"erroneous":[31],"contextually":[33,117],"distracting":[34],"information,":[35],"undermining":[36],"effectiveness":[38],"RAG":[40],"in":[41],"downstream":[42],"tasks.":[43],"We":[44],"introduce":[45],"a":[46,76,81],"compact,":[47],"efficient,":[48],"pluggable":[50],"module":[51,63],"designed":[52],"refine":[54],"retrieved":[55],"before":[57],"using":[58],"them":[59],"for":[60],"The":[62],"extract":[66],"reorganize":[68],"most":[70],"relevant":[71],"supportive":[73],"information":[74],"into":[75],"concise,":[77],"query-specific,":[78],"format.":[79],"Through":[80],"three-stage":[82],"training":[83],"paradigm--comprising":[84],"supervised":[85],"fine-tuning,":[86],"contrastive":[87],"multi-task":[88],"learning,":[89],"reinforcement":[91],"learning-based":[92],"alignment--it":[93],"prioritizes":[94],"critical":[95],"knowledge":[96],"aligns":[98],"it":[99],"with":[100],"generator's":[102],"preferences.":[103],"This":[104],"approach":[105],"enables":[106],"LLMs":[107],"produce":[109],"outputs":[110],"that":[111],"are":[112],"more":[113],"accurate,":[114],"reliable,":[115],"appropriate.":[118]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}