{"id":"https://openalex.org/W4415966889","doi":"https://doi.org/10.1145/3774904.3792567","title":"Beyond More Context: Retrieval Diversity Boosts Multi-Turn Intent Understanding","display_name":"Beyond More Context: Retrieval Diversity Boosts Multi-Turn Intent Understanding","publication_year":2026,"publication_date":"2026-04-09","ids":{"openalex":"https://openalex.org/W4415966889","doi":"https://doi.org/10.1145/3774904.3792567"},"language":null,"primary_location":{"id":"doi:10.1145/3774904.3792567","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3774904.3792567","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM Web Conference 2026","raw_type":"proceedings-article"},"type":"article","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2510.17940","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100547263","display_name":"Zhiming Lin","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Zhiming Lin","raw_affiliation_strings":["HelloBike, Shanghai, China"],"raw_orcid":"https://orcid.org/0009-0009-7144-4825","affiliations":[{"raw_affiliation_string":"HelloBike, Shanghai, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":null,"display_name":"Canran Xiao","orcid":"https://orcid.org/0009-0001-9730-5454"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Canran Xiao","raw_affiliation_strings":["Shenzhen Campus of Sun Yat-sen University, Shenzhen, Guangdong, China"],"raw_orcid":"https://orcid.org/0009-0001-9730-5454","affiliations":[{"raw_affiliation_string":"Shenzhen Campus of Sun Yat-sen University, Shenzhen, Guangdong, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"last","author":{"id":null,"display_name":"Kai Zhao","orcid":"https://orcid.org/0009-0009-2373-4537"},"institutions":[{"id":"https://openalex.org/I63525965","display_name":"Western Sydney University","ror":"https://ror.org/03t52dk35","country_code":"AU","type":"education","lineage":["https://openalex.org/I63525965"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Kai Zhao","raw_affiliation_strings":["University of Western Sydney, Sydney, New South Wales, Australia"],"raw_orcid":"https://orcid.org/0009-0009-2373-4537","affiliations":[{"raw_affiliation_string":"University of Western Sydney, Sydney, New South Wales, Australia","institution_ids":["https://openalex.org/I63525965"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100547263"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.00236574,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2320","last_page":"2329"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10286","display_name":"Information Retrieval and Search Behavior","score":0.29179999232292175,"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":0.29179999232292175,"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/T10028","display_name":"Topic Modeling","score":0.24040000140666962,"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/T12128","display_name":"AI in Service Interactions","score":0.22920000553131104,"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/diversity","display_name":"Diversity (politics)","score":0.6930000185966492},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6886000037193298},{"id":"https://openalex.org/keywords/security-token","display_name":"Security token","score":0.6509000062942505},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.6456999778747559},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.6171000003814697},{"id":"https://openalex.org/keywords/relevance","display_name":"Relevance (law)","score":0.5947999954223633},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5303999781608582},{"id":"https://openalex.org/keywords/ask-price","display_name":"Ask price","score":0.4187999963760376}],"concepts":[{"id":"https://openalex.org/C2781316041","wikidata":"https://www.wikidata.org/wiki/Q1230584","display_name":"Diversity (politics)","level":2,"score":0.6930000185966492},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6886000037193298},{"id":"https://openalex.org/C48145219","wikidata":"https://www.wikidata.org/wiki/Q1335365","display_name":"Security token","level":2,"score":0.6509000062942505},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.6456999778747559},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6190999746322632},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.6171000003814697},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.5947999954223633},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5303999781608582},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.41940000653266907},{"id":"https://openalex.org/C90329073","wikidata":"https://www.wikidata.org/wiki/Q914232","display_name":"Ask price","level":2,"score":0.4187999963760376},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36559998989105225},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.3239000141620636},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.321399986743927},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3149999976158142},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.30079999566078186},{"id":"https://openalex.org/C2780385302","wikidata":"https://www.wikidata.org/wiki/Q367158","display_name":"Protocol (science)","level":3,"score":0.27549999952316284},{"id":"https://openalex.org/C44291984","wikidata":"https://www.wikidata.org/wiki/Q1074173","display_name":"Question answering","level":2,"score":0.26759999990463257},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.26649999618530273},{"id":"https://openalex.org/C2777267654","wikidata":"https://www.wikidata.org/wiki/Q3519023","display_name":"Test (biology)","level":2,"score":0.26109999418258667},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2597000002861023},{"id":"https://openalex.org/C155108698","wikidata":"https://www.wikidata.org/wiki/Q1231081","display_name":"Randomized experiment","level":2,"score":0.2540999948978424},{"id":"https://openalex.org/C2776505523","wikidata":"https://www.wikidata.org/wiki/Q4785468","display_name":"Plan (archaeology)","level":2,"score":0.2506999969482422}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1145/3774904.3792567","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3774904.3792567","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM Web Conference 2026","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2510.17940","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2510.17940","pdf_url":"https://arxiv.org/pdf/2510.17940","source":{"id":"https://openalex.org/S4393918464","display_name":"ArXiv.org","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.2510.17940","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2510.17940","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":"pmh:oai:arXiv.org:2510.17940","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2510.17940","pdf_url":"https://arxiv.org/pdf/2510.17940","source":{"id":"https://openalex.org/S4393918464","display_name":"ArXiv.org","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Multi":[0],"turn":[1,165],"intent":[2,52,71,166],"understanding":[3,53],"is":[4],"central":[5],"to":[6,69,134],"task":[7],"oriented":[8],"chatbots,":[9],"yet":[10],"real":[11],"deployments":[12],"face":[13],"tight":[14],"token":[15,121],"budgets":[16],"and":[17,20,31,73,76,90,93,102,108,136,143,152],"noisy":[18],"contexts,":[19],"most":[21],"retrieval":[22,43,62,151],"pipelines":[23],"emphasize":[24],"relevance":[25],"while":[26],"overlooking":[27],"set":[28],"level":[29],"diversity":[30,60,100,149],"confounds":[32],"such":[33],"as":[34],"more":[35],"context":[36,67],"or":[37],"exemplar":[38,98],"order.":[39],"We":[40,57],"ask":[41],"whether":[42],"diversity,":[44],"rather":[45],"than":[46],"longer":[47],"prompts,":[48],"systematically":[49],"improves":[50],"LLM":[51,82],"under":[54,119],"fixed":[55],"budgets.":[56],"present":[58],"a":[59,154],"aware":[61],"framework":[63],"that":[64],"selects":[65],"in":[66,115,150],"exemplars":[68],"balance":[70],"coverage":[72],"linguistic":[74],"variety,":[75],"integrates":[77],"this":[78],"selection":[79,157],"with":[80,127],"standard":[81],"decoders;":[83],"the":[84,110,140,145],"evaluation":[85],"enforces":[86],"budget":[87,162],"matched":[88],"prompts":[89],"randomized":[91],"positions,":[92],"includes":[94],"sensitivity":[95],"analyses":[96],"over":[97],"count,":[99],"strength,":[101],"backbone":[103],"size.":[104],"On":[105],"MultiWOZ":[106],"2.4":[107],"SGD,":[109],"approach":[111],"achieves":[112],"strong":[113,124],"gains":[114],"Joint":[116],"Goal":[117],"Accuracy":[118],"equal":[120],"budgets,":[122],"surpassing":[123],"LLM/DST":[125],"baselines,":[126],"consistent":[128],"improvements":[129],"across":[130],"K":[131],"from":[132],"4":[133],"7":[135],"moderate":[137],"latency.":[138],"Overall,":[139],"study":[141],"isolates":[142],"validates":[144],"impact":[146],"of":[147],"content":[148],"offers":[153],"simple,":[155],"deployable":[156],"principle":[158],"for":[159],"building":[160],"accurate,":[161],"constrained":[163],"multi":[164],"systems.":[167]},"counts_by_year":[],"updated_date":"2026-04-11T06:13:24.991567","created_date":"2025-10-24T00:00:00"}