{"id":"https://openalex.org/W4411551456","doi":"https://doi.org/10.1109/cscwd64889.2025.11033593","title":"Semi-Structured Interview System Based on Fine-Tuned Large Language Model and Reinforcement Learning from Human Feedback","display_name":"Semi-Structured Interview System Based on Fine-Tuned Large Language Model and Reinforcement Learning from Human Feedback","publication_year":2025,"publication_date":"2025-05-05","ids":{"openalex":"https://openalex.org/W4411551456","doi":"https://doi.org/10.1109/cscwd64889.2025.11033593"},"language":"en","primary_location":{"id":"doi:10.1109/cscwd64889.2025.11033593","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cscwd64889.2025.11033593","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 28th International Conference on Computer Supported Cooperative Work in Design (CSCWD)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5040444639","display_name":"Yanni Ma","orcid":"https://orcid.org/0000-0002-4608-8664"},"institutions":[{"id":"https://openalex.org/I109935558","display_name":"Ningbo University","ror":"https://ror.org/03et85d35","country_code":"CN","type":"education","lineage":["https://openalex.org/I109935558"]},{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanni Ma","raw_affiliation_strings":["School of Software Technology, Zhejiang University,Ningbo,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Software Technology, Zhejiang University,Ningbo,China","institution_ids":["https://openalex.org/I109935558","https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100625557","display_name":"Xin Zhao","orcid":"https://orcid.org/0000-0002-5621-0459"},"institutions":[{"id":"https://openalex.org/I109935558","display_name":"Ningbo University","ror":"https://ror.org/03et85d35","country_code":"CN","type":"education","lineage":["https://openalex.org/I109935558"]},{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Zhao","raw_affiliation_strings":["School of Software Technology, Zhejiang University,Ningbo,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Software Technology, Zhejiang University,Ningbo,China","institution_ids":["https://openalex.org/I109935558","https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100568799","display_name":"Zhao Rong","orcid":"https://orcid.org/0009-0008-8613-4072"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Rong Zhao","raw_affiliation_strings":["Shaanxi Fast Auto Drive Refco Group Ltd,Xi'an,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shaanxi Fast Auto Drive Refco Group Ltd,Xi'an,China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114788586","display_name":"Shaolong Chai","orcid":"https://orcid.org/0009-0000-3211-9020"},"institutions":[{"id":"https://openalex.org/I109935558","display_name":"Ningbo University","ror":"https://ror.org/03et85d35","country_code":"CN","type":"education","lineage":["https://openalex.org/I109935558"]},{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shaolong Chai","raw_affiliation_strings":["School of Software Technology, Zhejiang University,Ningbo,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Software Technology, Zhejiang University,Ningbo,China","institution_ids":["https://openalex.org/I109935558","https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023894502","display_name":"Ying Wang","orcid":"https://orcid.org/0000-0002-1444-5778"},"institutions":[{"id":"https://openalex.org/I109935558","display_name":"Ningbo University","ror":"https://ror.org/03et85d35","country_code":"CN","type":"education","lineage":["https://openalex.org/I109935558"]},{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wang Ying","raw_affiliation_strings":["School of Software Technology, Zhejiang University,Ningbo,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Software Technology, Zhejiang University,Ningbo,China","institution_ids":["https://openalex.org/I109935558","https://openalex.org/I76130692"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5056945835","display_name":"Cheng Yao","orcid":"https://orcid.org/0000-0001-6572-0242"},"institutions":[{"id":"https://openalex.org/I168879160","display_name":"Zhejiang University of Science and Technology","ror":"https://ror.org/05mx0wr29","country_code":"CN","type":"education","lineage":["https://openalex.org/I168879160"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Cheng Yao","raw_affiliation_strings":["School of Computer Science and Technology, Zhejiang University,Hangzhou,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Zhejiang University,Hangzhou,China","institution_ids":["https://openalex.org/I168879160"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.7588,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.87126359,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"292","last_page":"297"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12260","display_name":"Educational Technology and Pedagogy","score":0.2842999994754791,"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/T12260","display_name":"Educational Technology and Pedagogy","score":0.2842999994754791,"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/reinforcement-learning","display_name":"Reinforcement learning","score":0.781778872013092},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7224820852279663},{"id":"https://openalex.org/keywords/reinforcement","display_name":"Reinforcement","score":0.5766185522079468},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.469070166349411},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3984540104866028},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.33517828583717346},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1433204710483551}],"concepts":[{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.781778872013092},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7224820852279663},{"id":"https://openalex.org/C67203356","wikidata":"https://www.wikidata.org/wiki/Q1321905","display_name":"Reinforcement","level":2,"score":0.5766185522079468},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.469070166349411},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3984540104866028},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.33517828583717346},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1433204710483551},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cscwd64889.2025.11033593","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cscwd64889.2025.11033593","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 28th International Conference on Computer Supported Cooperative Work in Design (CSCWD)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W1979467932","https://openalex.org/W2144211451","https://openalex.org/W2338991735","https://openalex.org/W2964243274","https://openalex.org/W2964350391","https://openalex.org/W3175599258","https://openalex.org/W4239025696","https://openalex.org/W4300772370","https://openalex.org/W4301185476","https://openalex.org/W4387425402","https://openalex.org/W4392255640","https://openalex.org/W4401734405","https://openalex.org/W6679775712","https://openalex.org/W6687566353","https://openalex.org/W6743368274","https://openalex.org/W6748409065","https://openalex.org/W6809583738","https://openalex.org/W6810738896","https://openalex.org/W6814848690","https://openalex.org/W6842080761","https://openalex.org/W6850755994","https://openalex.org/W6853208599","https://openalex.org/W6857598455","https://openalex.org/W6860026881","https://openalex.org/W6863642173","https://openalex.org/W6869164663","https://openalex.org/W6872981210","https://openalex.org/W6892847518"],"related_works":["https://openalex.org/W4310083477","https://openalex.org/W2328553770","https://openalex.org/W2920061524","https://openalex.org/W1977959518","https://openalex.org/W2038908348","https://openalex.org/W2107890255","https://openalex.org/W2106552856","https://openalex.org/W2145821588","https://openalex.org/W2086122291","https://openalex.org/W3204019825"],"abstract_inverted_index":{"Semi-structured":[0],"interview":[1,29,35,79,111,123,146],"is":[2,148],"an":[3,152],"important":[4,153],"method":[5,68,147],"in":[6,55,120,136,155],"human-computer":[7,59],"interaction":[8,60],"research.":[9],"However,":[10],"traditional":[11,109],"methods":[12],"often":[13],"rely":[14],"on":[15,38,70],"the":[16,21,24,56,66,133],"experience":[17],"and":[18,26,44,64,73,91,102,112,127,142,165],"skills":[19],"of":[20,28,58,122,138],"interviewer,":[22],"limiting":[23],"quality":[25],"flexibility":[27],"outline.":[30],"We":[31],"propose":[32],"a":[33,162],"semi-structured":[34],"system":[36,52,82,117],"based":[37,69],"fine-tuned":[39],"large":[40],"language":[41],"model":[42],"(LLM)":[43],"reinforcement":[45],"learning":[46,72],"from":[47],"human":[48,110],"feedback":[49],"(RLHF).":[50],"Our":[51],"uses":[53],"knowledge":[54],"domain":[57],"to":[61,76,93,108,150],"fine-tune":[62],"LLM":[63],"adopts":[65],"RLHF":[67],"multi-task":[71],"entropy":[74],"regularization":[75],"dynamically":[77],"adjust":[78],"strategies.":[80],"The":[81],"also":[83],"collects":[84],"multimodal":[85],"data":[86,167],"such":[87],"as":[88],"speech,":[89],"video,":[90],"emotion":[92],"provide":[94],"comprehensive":[95,166],"support":[96],"for":[97],"subsequent":[98],"analysis.":[99],"Simulation":[100],"experiment":[101,104],"pilot":[103],"show":[105],"that":[106],"compared":[107],"other":[113],"baseline":[114],"methods,":[115],"our":[116],"performs":[118],"well":[119],"terms":[121,137],"relevance,":[124],"personalization,":[125,141],"engagement,":[126],"efficiency.":[128,143],"Qualitative":[129],"analysis":[130],"further":[131],"reveals":[132],"system's":[134],"advantages":[135],"conversational":[139],"fluency,":[140],"This":[144],"innovative":[145],"expected":[149],"play":[151],"role":[154],"future":[156],"user":[157],"research,":[158],"providing":[159],"researchers":[160],"with":[161],"more":[163],"efficient":[164],"collection":[168],"tool.":[169]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}