{"id":"https://openalex.org/W7166805344","doi":"https://doi.org/10.18653/v1/2026.acl-long.1705","title":"Rethinking Reasoning-Intensive Retrieval: Evaluating and Advancing Retrievers in Agentic Search Systems","display_name":"Rethinking Reasoning-Intensive Retrieval: Evaluating and Advancing Retrievers in Agentic Search Systems","publication_year":2026,"publication_date":"2026-01-01","ids":{"openalex":"https://openalex.org/W7166805344","doi":"https://doi.org/10.18653/v1/2026.acl-long.1705"},"language":null,"primary_location":{"id":"doi:10.18653/v1/2026.acl-long.1705","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2026.acl-long.1705","pdf_url":"https://aclanthology.org/2026.acl-long.1705.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":"Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://aclanthology.org/2026.acl-long.1705.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5139773668","display_name":"Yilun Zhao","orcid":null},"institutions":[{"id":"https://openalex.org/I4210107866","display_name":"National University Heart Centre Singapore","ror":"https://ror.org/01vvdem88","country_code":"SG","type":"healthcare","lineage":["https://openalex.org/I4210107866"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Yilun Zhao","raw_affiliation_strings":["Yale NLP Lab S National University of Singapore N NYU Shanghai RTriever BRIGHT-PRO"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Yale NLP Lab S National University of Singapore N NYU Shanghai RTriever BRIGHT-PRO","institution_ids":["https://openalex.org/I4210107866"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135441848","display_name":"Jinbiao Wei","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jinbiao Wei","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5139726968","display_name":"Tingyu Song","orcid":null},"institutions":[{"id":"https://openalex.org/I4210107866","display_name":"National University Heart Centre Singapore","ror":"https://ror.org/01vvdem88","country_code":"SG","type":"healthcare","lineage":["https://openalex.org/I4210107866"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Tingyu Song","raw_affiliation_strings":["Yale NLP Lab S National University of Singapore N NYU Shanghai RTriever BRIGHT-PRO"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Yale NLP Lab S National University of Singapore N NYU Shanghai RTriever BRIGHT-PRO","institution_ids":["https://openalex.org/I4210107866"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5139811067","display_name":"Siyue Zhang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Siyue Zhang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5139755431","display_name":"\u8d75\u6668 Chen Zhao","orcid":null},"institutions":[{"id":"https://openalex.org/I4210107866","display_name":"National University Heart Centre Singapore","ror":"https://ror.org/01vvdem88","country_code":"SG","type":"healthcare","lineage":["https://openalex.org/I4210107866"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Chen Zhao","raw_affiliation_strings":["Yale NLP Lab S National University of Singapore N NYU Shanghai RTriever BRIGHT-PRO"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Yale NLP Lab S National University of Singapore N NYU Shanghai RTriever BRIGHT-PRO","institution_ids":["https://openalex.org/I4210107866"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5139769256","display_name":"Arman Cohan","orcid":null},"institutions":[{"id":"https://openalex.org/I4210107866","display_name":"National University Heart Centre Singapore","ror":"https://ror.org/01vvdem88","country_code":"SG","type":"healthcare","lineage":["https://openalex.org/I4210107866"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Arman Cohan","raw_affiliation_strings":["Yale NLP Lab S National University of Singapore N NYU Shanghai RTriever BRIGHT-PRO"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Yale NLP Lab S National University of Singapore N NYU Shanghai RTriever BRIGHT-PRO","institution_ids":["https://openalex.org/I4210107866"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"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":0.84065886,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"36776","last_page":"36806"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10286","display_name":"Information Retrieval and Search Behavior","score":0.6915000081062317,"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"}},"topics":[{"id":"https://openalex.org/T10286","display_name":"Information Retrieval and Search Behavior","score":0.6915000081062317,"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/T10906","display_name":"AI-based Problem Solving and Planning","score":0.07620000094175339,"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":0.01979999989271164,"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/agency","display_name":"Agency (philosophy)","score":0.36250001192092896},{"id":"https://openalex.org/keywords/perspective","display_name":"Perspective (graphical)","score":0.2915000021457672},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.2849999964237213},{"id":"https://openalex.org/keywords/work","display_name":"Work (physics)","score":0.2736000120639801},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.27160000801086426}],"concepts":[{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.38190001249313354},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3691999912261963},{"id":"https://openalex.org/C108170787","wikidata":"https://www.wikidata.org/wiki/Q3951828","display_name":"Agency (philosophy)","level":2,"score":0.36250001192092896},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.351500004529953},{"id":"https://openalex.org/C39549134","wikidata":"https://www.wikidata.org/wiki/Q133080","display_name":"Public relations","level":1,"score":0.33329999446868896},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.3269999921321869},{"id":"https://openalex.org/C55587333","wikidata":"https://www.wikidata.org/wiki/Q1133029","display_name":"Engineering ethics","level":1,"score":0.32499998807907104},{"id":"https://openalex.org/C56739046","wikidata":"https://www.wikidata.org/wiki/Q192060","display_name":"Knowledge management","level":1,"score":0.29809999465942383},{"id":"https://openalex.org/C539667460","wikidata":"https://www.wikidata.org/wiki/Q2414942","display_name":"Management science","level":1,"score":0.29649999737739563},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.2915000021457672},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.2849999964237213},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.2736000120639801},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.27160000801086426},{"id":"https://openalex.org/C2778137410","wikidata":"https://www.wikidata.org/wiki/Q2732820","display_name":"Government (linguistics)","level":2,"score":0.2694000005722046},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.26499998569488525},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.259799987077713},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.2596000134944916},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.25949999690055847}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/2026.acl-long.1705","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2026.acl-long.1705","pdf_url":"https://aclanthology.org/2026.acl-long.1705.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":"Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/2026.acl-long.1705","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2026.acl-long.1705","pdf_url":"https://aclanthology.org/2026.acl-long.1705.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":"Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.6008726358413696,"display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7166805344.pdf","grobid_xml":"https://content.openalex.org/works/W7166805344.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Reasoning-intensive":[0],"retrieval":[1],"aims":[2],"to":[3,111],"surface":[4],"evidence":[5,29,67,82],"that":[6,75,100,124],"supports":[7],"downstream":[8],"reasoning":[9],"rather":[10,65],"than":[11,66],"merely":[12],"matching":[13],"topical":[14],"similarity.This":[15],"capability":[16],"is":[17],"increasingly":[18],"important":[19],"for":[20],"agentic":[21,90,127],"search":[22,32,91],"systems,":[23],"where":[24],"retrievers":[25,54,85,122],"must":[26],"provide":[27,48],"complementary":[28,102],"across":[30,117],"iterative":[31],"and":[33,42,52,83,89,104,108,120,126],"synthesis.However,":[34],"existing":[35],"work":[36],"remains":[37],"limited":[38],"on":[39],"both":[40,87],"evaluation":[41,128],"training:":[43],"benchmarks":[44],"such":[45],"as":[46],"BRIGHT":[47,147],"narrow":[49],"gold":[50,81],"sets":[51],"evaluate":[53],"in":[55],"isolation,":[56],"while":[57,135],"synthetic":[58,98],"training":[59],"corpora":[60],"often":[61],"optimize":[62],"single-passage":[63],"relevance":[64],"portfolio":[68],"construction.We":[69],"introduce":[70],"BRIGHT-PRO,":[71],"an":[72,96],"expert-annotated":[73],"benchmark":[74],"expands":[76],"each":[77],"query":[78],"with":[79],"multi-aspect":[80],"evaluates":[84],"under":[86],"static":[88],"protocols.We":[92],"further":[93],"construct":[94],"RTriever-Synth,":[95],"aspect-decomposed":[97],"corpus":[99],"generates":[101],"positives":[103],"positive-conditioned":[105],"hard":[106],"negatives,":[107],"use":[109],"it":[110],"LoRA":[112],"fine-tune":[113],"RTriever-4B":[114,136],"from":[115],"Qwen3-Embedding-4B.Experiments":[116],"lexical,":[118],"general-purpose,":[119],"reasoningintensive":[121],"show":[123],"aspect-aware":[125],"expose":[129],"behaviors":[130],"hidden":[131],"by":[132],"standard":[133],"metrics,":[134],"substantially":[137],"improves":[138],"over":[139],"its":[140],"base":[141],"model.":[142],"Preliminary":[143],"(":[144],"\u00a73.1)Build":[145],"upon":[146],"StackExchange":[148]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2026-07-02T00:00:00"}