{"id":"https://openalex.org/W7166853454","doi":"https://doi.org/10.18653/v1/2026.findings-acl.468","title":"StoryMI: Steerable Multi-Agent Therapeutic Dialogue Generation","display_name":"StoryMI: Steerable Multi-Agent Therapeutic Dialogue Generation","publication_year":2026,"publication_date":"2026-01-01","ids":{"openalex":"https://openalex.org/W7166853454","doi":"https://doi.org/10.18653/v1/2026.findings-acl.468"},"language":null,"primary_location":{"id":"doi:10.18653/v1/2026.findings-acl.468","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2026.findings-acl.468","pdf_url":"https://aclanthology.org/2026.findings-acl.468.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.468.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5139847745","display_name":"Qingyu Meng","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Qingyu Meng","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5139844564","display_name":"Min Chen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Min Chen","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5139804258","display_name":"Dingming Liu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dingming Liu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5126695776","display_name":"Yifan Mo","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yifan Mo","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5139765193","display_name":"Yue Su","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yue Su","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5139818725","display_name":"Xin Sun","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xin Sun","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5139767784","display_name":"Koen Hindriks","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Koen Hindriks","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5061075100","display_name":"Jiahuan Pei","orcid":"https://orcid.org/0000-0001-6951-8340"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jiahuan Pei","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":0.84293542,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"9606","last_page":"9623"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12031","display_name":"Speech and dialogue systems","score":0.47119998931884766,"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":0.47119998931884766,"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":0.16930000483989716,"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":0.13429999351501465,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/perspective","display_name":"Perspective (graphical)","score":0.29109999537467957},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.26249998807907104},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.26159998774528503},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.2612000107765198},{"id":"https://openalex.org/keywords/action","display_name":"Action (physics)","score":0.24889999628067017}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.47690001130104065},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.349700003862381},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.29109999537467957},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.2847000062465668},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.26249998807907104},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.26159998774528503},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.2612000107765198},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.24889999628067017},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.23980000615119934},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.23280000686645508}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/2026.findings-acl.468","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2026.findings-acl.468","pdf_url":"https://aclanthology.org/2026.findings-acl.468.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.468","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2026.findings-acl.468","pdf_url":"https://aclanthology.org/2026.findings-acl.468.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":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7166853454.pdf","grobid_xml":"https://content.openalex.org/works/W7166853454.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Large":[0],"language":[1],"models":[2],"(LLMs)":[3],"can":[4,139],"generate":[5,57],"fluent":[6],"dialogue,":[7],"but":[8],"prior":[9],"works":[10],"lack":[11],"situational":[12,45,134],"grounding,":[13],"dynamic":[14],"strategy":[15],"control,":[16],"and":[17,54,91,100,121,125,136,143,160],"evaluation":[18,87],"aligned":[19],"with":[20],"clinical":[21,144],"standards":[22],"in":[23,113],"motivational":[24],"interviewing":[25],"(MI).We":[26],"introduce":[27],"StoryMI,":[28],"a":[29,81,85,105,150],"multi-LLM":[30],"agent":[31,72],"framework":[32],"for":[33,51,154,162],"controllable":[34],"MI":[35,62,78,110,119,141],"dialogue":[36,156],"generation,":[37],"where":[38],"questionnaire-based":[39],"client":[40,55],"profiles":[41],"are":[42],"expanded":[43],"into":[44],"stories":[46],"that":[47,133],"provide":[48,158],"narrative":[49],"context":[50],"the":[52,66,147],"dialogue.Therapist":[53],"agents":[56],"MI-coded":[58],"utterances":[59],"guided":[60],"by":[61,65],"codes":[63,120],"selected":[64],"interaction":[67,71],"agent,":[68],"while":[69],"an":[70],"dynamically":[73],"coordinates":[74],"exchanges":[75],"to":[76],"control":[77,138],"strategies":[79],"during":[80],"multi-turn":[82],"conversation.We":[83],"propose":[84],"two-level":[86],"protocol:":[88],"lexical":[89],"metrics":[90],"MI-specific":[92],"measures":[93],"of":[94,107,149],"macro-level":[95,137],"counseling":[96],"strategies,":[97],"alongside":[98],"LLM-as-judge":[99],"human":[101],"expert":[102],"assessments.We":[103],"construct":[104],"dataset":[106],"6K":[108],"simulated":[109],"dialogues":[111],"grounded":[112],"1K":[114],"questionnaire-story":[115],"pairs,":[116],"covering":[117],"12":[118],"13":[122],"symptom":[123],"domains,":[124],"benchmark":[126],"six":[127],"open-and":[128],"closed-source":[129],"LLMs.Our":[130],"results":[131],"show":[132],"grounding":[135],"improve":[140],"adherence":[142],"plausibility,":[145],"demonstrating":[146],"effectiveness":[148],"structured":[151],"multi-agent":[152],"workflow":[153],"psychotherapy":[155],"generation.We":[157],"code":[159],"data":[161],"reproducibility.":[163]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2026-07-02T00:00:00"}
