{"id":"https://openalex.org/W4416034554","doi":"https://doi.org/10.18653/v1/2025.findings-emnlp.1090","title":"Beyond Single-User Dialogue: Assessing Multi-User Dialogue State Tracking Capabilities of Large Language Models","display_name":"Beyond Single-User Dialogue: Assessing Multi-User Dialogue State Tracking Capabilities of Large Language Models","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4416034554","doi":"https://doi.org/10.18653/v1/2025.findings-emnlp.1090"},"language":null,"primary_location":{"id":"doi:10.18653/v1/2025.findings-emnlp.1090","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2025.findings-emnlp.1090","pdf_url":"https://aclanthology.org/2025.findings-emnlp.1090.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.1090.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5110784571","display_name":"Sangmin Song","orcid":null},"institutions":[{"id":"https://openalex.org/I67900169","display_name":"Chung-Ang University","ror":"https://ror.org/01r024a98","country_code":"KR","type":"education","lineage":["https://openalex.org/I67900169"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Sangmin Song","raw_affiliation_strings":["Chung-Ang University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chung-Ang University","institution_ids":["https://openalex.org/I67900169"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101772444","display_name":"Juhwan Choi","orcid":"https://orcid.org/0000-0003-0657-581X"},"institutions":[{"id":"https://openalex.org/I67900169","display_name":"Chung-Ang University","ror":"https://ror.org/01r024a98","country_code":"KR","type":"education","lineage":["https://openalex.org/I67900169"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Juhwan Choi","raw_affiliation_strings":["Chung-Ang University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chung-Ang University","institution_ids":["https://openalex.org/I67900169"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111276563","display_name":"JungMin Yun","orcid":null},"institutions":[{"id":"https://openalex.org/I67900169","display_name":"Chung-Ang University","ror":"https://ror.org/01r024a98","country_code":"KR","type":"education","lineage":["https://openalex.org/I67900169"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"JungMin Yun","raw_affiliation_strings":["Chung-Ang University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chung-Ang University","institution_ids":["https://openalex.org/I67900169"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016930939","display_name":"Youngbin Kim","orcid":"https://orcid.org/0000-0002-2114-0120"},"institutions":[{"id":"https://openalex.org/I67900169","display_name":"Chung-Ang University","ror":"https://ror.org/01r024a98","country_code":"KR","type":"education","lineage":["https://openalex.org/I67900169"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"YoungBin Kim","raw_affiliation_strings":["Chung-Ang University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chung-Ang University","institution_ids":["https://openalex.org/I67900169"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I67900169"],"apc_list":null,"apc_paid":null,"fwci":2.9161,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.92352977,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"20018","last_page":"20029"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12031","display_name":"Speech and dialogue systems","score":0.8061000108718872,"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/T12031","display_name":"Speech and dialogue systems","score":0.8061000108718872,"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/T10028","display_name":"Topic Modeling","score":0.0340999998152256,"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/T11902","display_name":"Intelligent Tutoring Systems and Adaptive Learning","score":0.017100000753998756,"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/state","display_name":"State (computer science)","score":0.5012999773025513},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.3458999991416931},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.2840000092983246},{"id":"https://openalex.org/keywords/natural-language","display_name":"Natural language","score":0.28369998931884766},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.2630000114440918}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6226999759674072},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.5012999773025513},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44859999418258667},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.3458999991416931},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.32690000534057617},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.2840000092983246},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.28369998931884766},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.2630000114440918},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.2621000111103058},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.2583000063896179}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/2025.findings-emnlp.1090","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2025.findings-emnlp.1090","pdf_url":"https://aclanthology.org/2025.findings-emnlp.1090.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.1090","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2025.findings-emnlp.1090","pdf_url":"https://aclanthology.org/2025.findings-emnlp.1090.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":[{"id":"https://openalex.org/G13572568","display_name":null,"funder_award_id":"RS-2021-II211341","funder_id":"https://openalex.org/F4320335489","funder_display_name":"Institute for Information and Communications Technology Promotion"}],"funders":[{"id":"https://openalex.org/F4320320671","display_name":"National Research Foundation","ror":"https://ror.org/05s0g1g46"},{"id":"https://openalex.org/F4320321202","display_name":"Chung-Ang University","ror":"https://ror.org/01r024a98"},{"id":"https://openalex.org/F4320322120","display_name":"National Research Foundation of Korea","ror":"https://ror.org/013aysd81"},{"id":"https://openalex.org/F4320328359","display_name":"Ministry of Science and ICT, South Korea","ror":"https://ror.org/01wpjm123"},{"id":"https://openalex.org/F4320335489","display_name":"Institute for Information and Communications Technology Promotion","ror":"https://ror.org/01g0hqq23"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4416034554.pdf","grobid_xml":"https://content.openalex.org/works/W4416034554.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Large":[0],"language":[1],"models":[2],"(LLMs)":[3],"have":[4],"demonstrated":[5],"remarkable":[6],"performance":[7,101],"in":[8,46,57,94,113],"zero-shot":[9],"dialogue":[10,117],"state":[11],"tracking":[12,116],"(DST),":[13],"reducing":[14],"the":[15,32,42,108,124,137],"need":[16,125],"for":[17,126,132,139],"task-specific":[18],"training.However,":[19],"conventional":[20],"DST":[21,48,65,134,144],"benchmarks":[22],"primarily":[23],"focus":[24],"on":[25,75],"structured":[26],"user-agent":[27],"conversations,":[28,87],"failing":[29],"to":[30,104,129],"capture":[31],"complexities":[33],"of":[34,44,70,92,110],"real-world":[35],"multiuser":[36],"interactions.In":[37],"this":[38],"study,":[39],"we":[40,61],"assess":[41],"robustness":[43],"LLMs":[45,93,112,131],"multi-user":[47,95,133],"while":[49],"minimizing":[50],"dataset":[51,66],"construction":[52],"costs.Inspired":[53],"by":[54,67],"recent":[55],"advances":[56],"LLM-based":[58],"data":[59],"annotation,":[60],"extend":[62],"an":[63],"existing":[64],"generating":[68],"utterances":[69,85],"a":[71,82,89,99],"second":[72,83],"user":[73],"based":[74],"speech":[76],"act":[77],"theory.Our":[78],"methodology":[79],"systematically":[80],"incorporates":[81],"user's":[84],"into":[86],"enabling":[88],"controlled":[90],"evaluation":[91],"settings.Experimental":[96],"results":[97],"reveal":[98],"significant":[100],"drop":[102],"compared":[103],"single-user":[105],"DST,":[106],"highlighting":[107],"limitations":[109],"current":[111],"extracting":[114],"and":[115,142],"states":[118],"amidst":[119],"multiple":[120],"speakers.Our":[121],"findings":[122],"emphasize":[123],"future":[127],"research":[128],"enhance":[130],"scenarios,":[135],"paving":[136],"way":[138],"more":[140],"realistic":[141],"robust":[143],"models.":[145]},"counts_by_year":[{"year":2026,"cited_by_count":2}],"updated_date":"2026-08-18T07:49:30.821534","created_date":"2025-11-08T00:00:00"}