{"id":"https://openalex.org/W4416034089","doi":"https://doi.org/10.18653/v1/2025.findings-emnlp.1022","title":"UniRAG: A Unified RAG Framework for Knowledge-Intensive Queries with Decomposition, Break-Down Reasoning, and Iterative Rewriting","display_name":"UniRAG: A Unified RAG Framework for Knowledge-Intensive Queries with Decomposition, Break-Down Reasoning, and Iterative Rewriting","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4416034089","doi":"https://doi.org/10.18653/v1/2025.findings-emnlp.1022"},"language":null,"primary_location":{"id":"doi:10.18653/v1/2025.findings-emnlp.1022","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2025.findings-emnlp.1022","pdf_url":"https://aclanthology.org/2025.findings-emnlp.1022.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Findings of the Association for Computational Linguistics: EMNLP 2025","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://aclanthology.org/2025.findings-emnlp.1022.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5065358792","display_name":"Gun Il Kim","orcid":"https://orcid.org/0009-0005-7126-1245"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gun Il Kim","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100726106","display_name":"Jong Wook Kim","orcid":"https://orcid.org/0000-0001-8373-1893"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jong Wook Kim","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5067151609","display_name":"Beakcheol Jang","orcid":"https://orcid.org/0000-0002-3911-5935"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Beakcheol Jang","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":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.39573583,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"18795","last_page":"18810"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11596","display_name":"Constraint Satisfaction and Optimization","score":0.1662999987602234,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T11596","display_name":"Constraint Satisfaction and Optimization","score":0.1662999987602234,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T11010","display_name":"Logic, Reasoning, and Knowledge","score":0.149399995803833,"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/T10215","display_name":"Semantic Web and Ontologies","score":0.11879999935626984,"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/rewriting","display_name":"Rewriting","score":0.545799970626831},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.2996000051498413},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.28839999437332153},{"id":"https://openalex.org/keywords/order","display_name":"Order (exchange)","score":0.27320000529289246},{"id":"https://openalex.org/keywords/algebra-over-a-field","display_name":"Algebra over a field","score":0.26420000195503235}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.632099986076355},{"id":"https://openalex.org/C154690210","wikidata":"https://www.wikidata.org/wiki/Q1668499","display_name":"Rewriting","level":2,"score":0.545799970626831},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.41609999537467957},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.36149999499320984},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.34119999408721924},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.2996000051498413},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.28839999437332153},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.27889999747276306},{"id":"https://openalex.org/C182306322","wikidata":"https://www.wikidata.org/wiki/Q1779371","display_name":"Order (exchange)","level":2,"score":0.27320000529289246},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2662999927997589},{"id":"https://openalex.org/C136119220","wikidata":"https://www.wikidata.org/wiki/Q1000660","display_name":"Algebra over a field","level":2,"score":0.26420000195503235},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.2533000111579895},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.2531000077724457},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.2515000104904175}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/2025.findings-emnlp.1022","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2025.findings-emnlp.1022","pdf_url":"https://aclanthology.org/2025.findings-emnlp.1022.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Findings of the Association for Computational Linguistics: EMNLP 2025","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/2025.findings-emnlp.1022","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2025.findings-emnlp.1022","pdf_url":"https://aclanthology.org/2025.findings-emnlp.1022.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Findings of the Association for Computational Linguistics: EMNLP 2025","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320320671","display_name":"National Research Foundation","ror":"https://ror.org/05s0g1g46"},{"id":"https://openalex.org/F4320322120","display_name":"National Research Foundation of Korea","ror":"https://ror.org/013aysd81"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4416034089.pdf","grobid_xml":"https://content.openalex.org/works/W4416034089.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Knowledge-intensive":[0],"queries":[1,60,77],"require":[2],"accurate":[3],"answers":[4],"that":[5,47,110],"are":[6],"explicitly":[7,65],"grounded":[8],"in":[9],"retrieved":[10,67],"evidence.However,":[11],"existing":[12],"retrievalaugmented":[13],"generation":[14],"(RAG)":[15],"approaches":[16],"often":[17],"struggle":[18],"with":[19],"query":[20,50,56],"complexity,":[21],"suffer":[22],"from":[23],"propagated":[24],"reasoning":[25,72],"errors,":[26],"or":[27,31],"rely":[28],"on":[29,79,91],"incomplete":[30],"noisy":[32],"retrieval,":[33],"limiting":[34],"their":[35],"effectiveness.To":[36],"address":[37],"these":[38],"limitations,":[39],"we":[40],"introduce":[41],"UniRAG,":[42],"a":[43,70],"unified":[44],"RAG":[45],"framework":[46],"integrates":[48],"entity-grounded":[49],"decomposition,":[51],"break-down":[52],"reasoning,":[53],"and":[54,74,87,98,102,104,107],"iterative":[55],"rewriting.Specifically,":[57],"UniRAG":[58,111],"decomposes":[59],"into":[61],"semantically":[62],"coherent":[63],"sub-queries,":[64],"verifies":[66],"sub-facts":[68],"through":[69],"dedicated":[71],"module,":[73],"adaptively":[75],"refines":[76],"based":[78],"identified":[80],"knowledge":[81],"gaps,":[82],"significantly":[83],"improving":[84],"answer":[85],"completeness":[86],"reliability.Extensive":[88],"benchmark":[89],"evaluations":[90],"complex":[92],"question-answering":[93],"datasets,":[94],"including":[95],"multi-hop":[96],"HotPotQA":[97],"2WikiMultihopQA,":[99],"biomedical":[100],"MedMCQA":[101],"MedQA,":[103],"fact-verification":[105],"FEVER":[106],"SciFact,":[108],"demonstrate":[109],"consistently":[112],"achieves":[113],"performance":[114],"improvements":[115],"across":[116],"various":[117],"state-of-the-art":[118],"LLMs,":[119],"such":[120],"as":[121],"LLaMA-3.1-8B,":[122]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-11-08T00:00:00"}