{"id":"https://openalex.org/W7160836531","doi":"https://doi.org/10.48550/arxiv.2605.07517","title":"LARAG: Link-Aware Retrieval Strategy for RAG Systems in Hyperlinked Technical Documentation","display_name":"LARAG: Link-Aware Retrieval Strategy for RAG Systems in Hyperlinked Technical Documentation","publication_year":2026,"publication_date":"2026-05-08","ids":{"openalex":"https://openalex.org/W7160836531","doi":"https://doi.org/10.48550/arxiv.2605.07517"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2605.07517","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.07517","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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2605.07517","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5135867863","display_name":"Giorgia Bolognesi","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bolognesi, Giorgia","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060137921","display_name":"Claudio Estatico","orcid":"https://orcid.org/0000-0003-0948-6687"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Estatico, Claudio","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044587957","display_name":"Ulderico Fugacci","orcid":"https://orcid.org/0000-0003-3062-997X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Fugacci, Ulderico","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076230656","display_name":"Isabella Mastroianni","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mastroianni, Isabella","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071009947","display_name":"Claudio Muselli","orcid":"https://orcid.org/0000-0002-1109-8125"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Muselli, Claudio","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5135884572","display_name":"Luca Oneto","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Oneto, Luca","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"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/T10028","display_name":"Topic Modeling","score":0.35670000314712524,"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":0.35670000314712524,"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/T10286","display_name":"Information Retrieval and Search Behavior","score":0.11580000072717667,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.08020000159740448,"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/hyperlink","display_name":"Hyperlink","score":0.9129999876022339},{"id":"https://openalex.org/keywords/metadata","display_name":"Metadata","score":0.5778999924659729},{"id":"https://openalex.org/keywords/documentation","display_name":"Documentation","score":0.5755000114440918},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4934999942779541},{"id":"https://openalex.org/keywords/hypermedia","display_name":"Hypermedia","score":0.35100001096725464},{"id":"https://openalex.org/keywords/architecture","display_name":"Architecture","score":0.3398999869823456}],"concepts":[{"id":"https://openalex.org/C30088001","wikidata":"https://www.wikidata.org/wiki/Q102014","display_name":"Hyperlink","level":3,"score":0.9129999876022339},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.805400013923645},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.6123999953269958},{"id":"https://openalex.org/C93518851","wikidata":"https://www.wikidata.org/wiki/Q180160","display_name":"Metadata","level":2,"score":0.5778999924659729},{"id":"https://openalex.org/C56666940","wikidata":"https://www.wikidata.org/wiki/Q788790","display_name":"Documentation","level":2,"score":0.5755000114440918},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4934999942779541},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.4171999990940094},{"id":"https://openalex.org/C2780126544","wikidata":"https://www.wikidata.org/wiki/Q837900","display_name":"Hypermedia","level":2,"score":0.35100001096725464},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.3398999869823456},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.3325999975204468},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.29429998993873596},{"id":"https://openalex.org/C162319229","wikidata":"https://www.wikidata.org/wiki/Q175263","display_name":"Data structure","level":2,"score":0.27489998936653137},{"id":"https://openalex.org/C25688753","wikidata":"https://www.wikidata.org/wiki/Q1413406","display_name":"Technical documentation","level":3,"score":0.2732999920845032},{"id":"https://openalex.org/C199845137","wikidata":"https://www.wikidata.org/wiki/Q145490","display_name":"Network topology","level":2,"score":0.27000001072883606},{"id":"https://openalex.org/C551230270","wikidata":"https://www.wikidata.org/wiki/Q4368942","display_name":"Data retrieval","level":2,"score":0.26980000734329224}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2605.07517","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.07517","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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2605.07517","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.07517","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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Retrieval-Augmented":[0],"Generation":[1],"(RAG)":[2],"enhances":[3],"the":[4,37,60,75,114,140],"factual":[5],"grounding":[6,172],"of":[7,33,85,88,95,144,158],"Large":[8],"Language":[9],"Models":[10],"by":[11],"conditioning":[12],"their":[13],"outputs":[14],"on":[15,43],"external":[16],"documents.":[17],"However,":[18],"standard":[19],"embedding-based":[20],"retrievers":[21],"treat":[22],"naturally":[23],"structured":[24],"corpora,":[25],"such":[26,46],"as":[27,30,72],"technical":[28,102,145],"manuals,":[29],"flat":[31],"collections":[32],"passages,":[34],"thereby":[35],"overlooking":[36],"hyperlink":[38,62,70,142],"topology":[39,143],"that":[40,58,137,161],"users":[41],"rely":[42],"when":[44],"navigating":[45],"content.":[47,91],"We":[48],"introduce":[49],"LARAG":[50,108],"(Link-Aware":[51],"RAG):":[52],"a":[53,83,93,127,163],"lightweight,":[54],"link-aware":[55],"retrieval":[56,87,160],"strategy":[57],"leverages":[59],"author-defined":[61],"structure":[63],"already":[64],"present":[65],"in":[66,74],"HTML":[67],"documentation,":[68,146],"encoding":[69],"relations":[71],"metadata":[73],"chunk":[76],"representations":[77],"and":[78,104,122,166],"exploiting":[79],"them":[80],"to":[81],"perform":[82],"form":[84,157],"graph-like":[86,159],"locally":[89],"relevant":[90],"In":[92],"benchmark":[94],"twenty":[96],"expert-designed":[97],"queries":[98],"over":[99],"Rulex":[100],"Platform":[101],"documentation":[103],"four":[105],"prompting":[106],"strategies,":[107],"consistently":[109],"improves":[110],"answer":[111],"quality,":[112],"achieving":[113],"highest":[115],"BERTScore":[116],"F1,":[117],"while":[118],"retrieving":[119],"fewer":[120,124],"chunks":[121],"generating":[123],"tokens":[125],"than":[126],"baseline":[128],"RAG":[129,168],"architecture":[130],"used":[131],"for":[132],"comparison.":[133],"These":[134],"results":[135],"show":[136],"directly":[138],"leveraging":[139],"existing":[141],"even":[147],"without":[148],"explicit":[149],"graph":[150],"construction":[151],"or":[152],"inference,":[153],"enables":[154],"an":[155],"implicit":[156],"yields":[162],"more":[164],"faithful":[165],"efficient":[167],"pipeline,":[169],"providing":[170],"better":[171],"at":[173],"lower":[174],"cost.":[175]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2026-05-12T00:00:00"}