{"id":"https://openalex.org/W7166839311","doi":"https://doi.org/10.18653/v1/2026.findings-acl.1998","title":"PanoramaRAG: Enabling Consistent Global Topic Awareness in Graph-Based RAG","display_name":"PanoramaRAG: Enabling Consistent Global Topic Awareness in Graph-Based RAG","publication_year":2026,"publication_date":"2026-01-01","ids":{"openalex":"https://openalex.org/W7166839311","doi":"https://doi.org/10.18653/v1/2026.findings-acl.1998"},"language":null,"primary_location":{"id":"doi:10.18653/v1/2026.findings-acl.1998","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2026.findings-acl.1998","pdf_url":"https://aclanthology.org/2026.findings-acl.1998.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: ACL 2026","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://aclanthology.org/2026.findings-acl.1998.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5139800629","display_name":"Ding Deng","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ding Deng","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5139835804","display_name":"Xiang Lorraine Li","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xiang Li","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5139811597","display_name":"Yaqing Zhang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yaqing Zhang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5139762835","display_name":"Meng Li","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Meng Li","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5139791005","display_name":"Xiting Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xiting Wang","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":0.82883817,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"40205","last_page":"40217"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.5045999884605408,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.5045999884605408,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.2013999968767166,"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"}},{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.07670000195503235,"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/set","display_name":"Set (abstract data type)","score":0.289000004529953},{"id":"https://openalex.org/keywords/perspective","display_name":"Perspective (graphical)","score":0.2669000029563904},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.25920000672340393},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.2538999915122986}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4805000126361847},{"id":"https://openalex.org/C108827166","wikidata":"https://www.wikidata.org/wiki/Q175975","display_name":"Internet privacy","level":1,"score":0.3077000081539154},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.3028999865055084},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.289000004529953},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.2669000029563904},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.25920000672340393},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.2538999915122986},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.250900000333786},{"id":"https://openalex.org/C2778137410","wikidata":"https://www.wikidata.org/wiki/Q2732820","display_name":"Government (linguistics)","level":2,"score":0.2506999969482422},{"id":"https://openalex.org/C39549134","wikidata":"https://www.wikidata.org/wiki/Q133080","display_name":"Public relations","level":1,"score":0.25029999017715454}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/2026.findings-acl.1998","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2026.findings-acl.1998","pdf_url":"https://aclanthology.org/2026.findings-acl.1998.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: ACL 2026","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/2026.findings-acl.1998","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2026.findings-acl.1998","pdf_url":"https://aclanthology.org/2026.findings-acl.1998.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: ACL 2026","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3248486410","display_name":null,"funder_award_id":"U2436209","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6750762792","display_name":null,"funder_award_id":"62476279","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322499","display_name":"Renmin University of China","ror":"https://ror.org/041pakw92"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7166839311.pdf","grobid_xml":"https://content.openalex.org/works/W7166839311.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Graph-based":[0],"Retrieval-Augmented":[1],"Generation":[2],"(RAG),":[3],"which":[4,188],"models":[5,248],"relationships":[6,56],"between":[7],"fine-grained":[8],"semantic":[9,129,211],"units":[10],"as":[11],"a":[12,62,69,95,118,182,263,285],"graph,":[13,89],"effectively":[14],"facilitates":[15],"multi-hop":[16],"reasoning":[17],"to":[18,52,77,100,269,284],"enhance":[19],"large":[20,247],"language":[21,90],"model":[22],"generation.However,":[23],"its":[24],"design":[25],"focuses":[26],"on":[27,226],"local":[28],"relationships,":[29],"resulting":[30],"in":[31,94,288],"suboptimal":[32],"performance":[33,113],"for":[34,220],"tasks":[35],"that":[36,67,108,230,252,261],"require":[37],"global":[38,128,155,190],"context,":[39],"and":[40,92,103,117,150,167,196,223,266,276],"the":[41,49,58,75,82,87,141,158,172,186,194,227,233,237,244],"separation":[42],"of":[43,74,81,120,185,236,246],"query":[44,151,165],"refinement":[45],"from":[46],"indexing":[47,149,195],"limits":[48],"system's":[50],"ability":[51],"capture":[53],"high-level":[54],"implicit":[55],"within":[57],"graph.This":[59],"paper":[60],"proposes":[61],"Panorama-guided":[63],"RAG":[64,179],"paradigm":[65],"(PanoramaRAG)":[66],"integrates":[68,189],"light":[70],"yet":[71],"comprehensive":[72],"\"panorama\"":[73],"corpus":[76],"guide":[78],"all":[79],"stages":[80,198],"retrieval":[83,160,197,275,289],"process.This":[84],"hub":[85],"bridges":[86],"knowledge":[88],"models,":[91],"queries":[93,222],"computationally":[96],"efficient":[97,271],"manner,":[98],"applicable":[99],"both":[101,147,193,274],"open-source":[102],"closed-source":[104],"models.Experimental":[105],"results":[106],"demonstrate":[107],"our":[109],"method":[110,219],"exhibits":[111],"strong":[112],"across":[114],"five":[115],"datasets":[116],"variety":[119],"tasks.Our":[121],"code":[122],"is":[123,143],"available":[124],"at":[125,199],"https://github.com/":[126],"Deng-Dean/PanoRAG.viding":[127],"guidance":[130],"without":[131,213,279],"substantial":[132],"computational":[133,201],"overhead.By":[134],"abstracting":[135],"core":[136],"content":[137],"through":[138],"hierarchical":[139],"keywords,":[140],"panorama":[142],"seamlessly":[144],"compatible":[145],"with":[146,181],"keyword-based":[148],"expansion.We":[152],"integrate":[153],"this":[154],"perspective":[156],"throughout":[157],"entire":[159],"lifecycleencompassing":[161],"offline":[162],"indexing,":[163],"online":[164],"construction,":[166],"document":[168,257],"retrieval.Specifically,":[169],"we":[170],"introduce":[171],"following":[173],"technical":[174],"innovations:\u2022":[175],"PanoramaRAG:":[176],"A":[177,259],"novel":[178],"framework":[180],"panoramic":[183],"view":[184],"corpus,":[187],"semantics":[191],"into":[192,206],"minimal":[200],"cost.By":[202],"embedding":[203],"corpus-level":[204],"structure":[205],"retrieval-aware":[207],"representations,":[208],"PanoramaRAG":[209],"improves":[210,273],"consistency":[212],"sacrificing":[214],"efficiency.\u2022":[215],"Panorama-aware":[216,256],"keyword":[217],"construction:A":[218],"refining":[221],"keywords":[224,231],"conditioned":[225],"panorama,":[228],"ensuring":[229],"consider":[232],"full":[234],"context":[235],"data":[238],"before":[239],"retrieval,":[240],"while":[241],"not":[242],"limiting":[243],"types":[245],"(open-source":[249],"or":[250],"closedsource)":[251],"can":[253],"be":[254],"used.\u2022":[255],"retrieval:":[258],"technique":[260],"utilizes":[262],"panorama-enhanced":[264],"graph":[265],"expansion":[267],"mechanism":[268],"perform":[270],"retrieval.It":[272],"generation":[277],"effectiveness":[278],"adding":[280],"significant":[281],"overhead,":[282],"leading":[283],"notable":[286],"improvement":[287],"performance.":[290]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2026-07-02T00:00:00"}