{"id":"https://openalex.org/W7155043743","doi":"https://doi.org/10.48550/arxiv.2604.17972","title":"Modeling Multiple Support Strategies within a Single Turn for Emotional Support Conversations","display_name":"Modeling Multiple Support Strategies within a Single Turn for Emotional Support Conversations","publication_year":2026,"publication_date":"2026-04-20","ids":{"openalex":"https://openalex.org/W7155043743","doi":"https://doi.org/10.48550/arxiv.2604.17972"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2604.17972","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.17972","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":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2604.17972","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5134159731","display_name":"Jie Zhu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhu, Jie","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5129947341","display_name":"Huaixia Dou","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dou, Huaixia","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5134192545","display_name":"Junhui Li","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Junhui","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5134148714","display_name":"Lifan Guo","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Guo, Lifan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5134180880","display_name":"Feng Chen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chen, Feng","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5134175574","display_name":"Jinsong Su","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Su, Jinsong","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5134136056","display_name":"Chi Zhang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Chi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5134183040","display_name":"Fang Kong","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kong, Fang","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":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":0.6019999980926514,"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":0.6019999980926514,"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/T12488","display_name":"Mental Health via Writing","score":0.05429999902844429,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.05000000074505806,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/utterance","display_name":"Utterance","score":0.8381999731063843},{"id":"https://openalex.org/keywords/conversation","display_name":"Conversation","score":0.732200026512146},{"id":"https://openalex.org/keywords/turn-taking","display_name":"Turn-taking","score":0.651199996471405},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.5019999742507935},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.47920000553131104},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.4399999976158142},{"id":"https://openalex.org/keywords/cognition","display_name":"Cognition","score":0.4253000020980835},{"id":"https://openalex.org/keywords/conversation-analysis","display_name":"Conversation analysis","score":0.3765000104904175}],"concepts":[{"id":"https://openalex.org/C2775852435","wikidata":"https://www.wikidata.org/wiki/Q258403","display_name":"Utterance","level":2,"score":0.8381999731063843},{"id":"https://openalex.org/C2777200299","wikidata":"https://www.wikidata.org/wiki/Q52943","display_name":"Conversation","level":2,"score":0.732200026512146},{"id":"https://openalex.org/C2776352735","wikidata":"https://www.wikidata.org/wiki/Q2313343","display_name":"Turn-taking","level":3,"score":0.651199996471405},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5770000219345093},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5019999742507935},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.49900001287460327},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.47920000553131104},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.4756999909877777},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.4399999976158142},{"id":"https://openalex.org/C169900460","wikidata":"https://www.wikidata.org/wiki/Q2200417","display_name":"Cognition","level":2,"score":0.4253000020980835},{"id":"https://openalex.org/C2780829048","wikidata":"https://www.wikidata.org/wiki/Q1624720","display_name":"Conversation analysis","level":3,"score":0.3765000104904175},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.35839998722076416},{"id":"https://openalex.org/C120936955","wikidata":"https://www.wikidata.org/wiki/Q2155640","display_name":"Empirical research","level":2,"score":0.3294999897480011},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.32010000944137573},{"id":"https://openalex.org/C164850336","wikidata":"https://www.wikidata.org/wiki/Q3685487","display_name":"Interpersonal communication","level":2,"score":0.3188000023365021},{"id":"https://openalex.org/C166052673","wikidata":"https://www.wikidata.org/wiki/Q83021","display_name":"Empirical evidence","level":2,"score":0.30329999327659607},{"id":"https://openalex.org/C107327155","wikidata":"https://www.wikidata.org/wiki/Q330268","display_name":"Decision support system","level":2,"score":0.2980000078678131},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.2962000072002411},{"id":"https://openalex.org/C139265228","wikidata":"https://www.wikidata.org/wiki/Q5283089","display_name":"Distress","level":2,"score":0.29319998621940613},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.29100000858306885},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.2851000130176544},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2816999852657318},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.27889999747276306},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.2777000069618225},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.2653999924659729}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2604.17972","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.17972","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":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2604.17972","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.17972","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":"Preprint"},"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":{"Emotional":[0],"Support":[1],"Conversation":[2],"(ESC)":[3],"aims":[4],"to":[5,26,103,136],"assist":[6],"individuals":[7],"experiencing":[8],"distress":[9],"by":[10,49,100],"generating":[11],"empathetic":[12],"and":[13,82,107,121,134,140,166,174],"supportive":[14,31,138],"dialogue.":[15],"While":[16],"prior":[17],"work":[18,147],"typically":[19],"assumes":[20],"that":[21,127,154],"each":[22,57],"supporter":[23],"turn":[24],"corresponds":[25],"a":[27,38,78,160],"single":[28,39,79,161],"strategy,":[29],"real-world":[30],"communication":[32],"often":[33],"involves":[34],"multiple":[35,156],"strategies":[36,158],"within":[37,159],"utterance.":[40],"In":[41],"this":[42,146],"paper,":[43],"we":[44],"revisit":[45],"the":[46,115,149],"ESC":[47],"task":[48],"formulating":[50],"it":[51],"as":[52],"multi-strategy":[53,132],"utterance":[54,58,162],"generation,":[55],"where":[56],"may":[59],"contain":[60],"one":[61],"or":[62],"more":[63],"strategy-response":[64,75,87],"pairs.":[65],"We":[66,110],"propose":[67],"two":[68],"generation":[69],"methods:":[70],"All-in-One,":[71],"which":[72,84],"predicts":[73],"all":[74],"pairs":[76,88],"in":[77],"decoding":[80],"step,":[81],"One-by-One,":[83],"iteratively":[85],"generates":[86],"until":[89],"completion.":[90],"Both":[91],"methods":[92,129],"are":[93],"further":[94],"enhanced":[95],"with":[96],"cognitive":[97],"reasoning":[98],"guided":[99],"reinforcement":[101],"learning":[102],"improve":[104],"strategy":[105],"selection":[106],"response":[108],"composition.":[109],"evaluate":[111],"our":[112,128,144],"models":[113],"on":[114],"ESConv":[116],"dataset":[117],"under":[118],"both":[119,164],"utterance-level":[120],"dialogue-level":[122],"settings.":[123],"Experimental":[124],"results":[125],"show":[126],"effectively":[130],"model":[131],"utterances":[133],"lead":[135],"improved":[137],"quality":[139],"dialogue":[141],"success.":[142],"To":[143],"knowledge,":[145],"provides":[148],"first":[150],"systematic":[151],"empirical":[152],"evidence":[153],"allowing":[155],"support":[157,170],"is":[163],"feasible":[165],"beneficial":[167],"for":[168],"emotional":[169],"conversations.":[171],"All":[172],"code":[173],"data":[175],"will":[176],"be":[177],"publicly":[178],"available":[179],"at":[180],"https://github.com/aliyun/qwen-dianjin.":[181]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-04-22T00:00:00"}