{"id":"https://openalex.org/W7164320292","doi":"https://doi.org/10.3390/make8060161","title":"Scenario-Adaptive Evaluation of Trustworthy Fine-Tuned Text Models Across Knowledge-Grounded Generation and Misinformation Detection","display_name":"Scenario-Adaptive Evaluation of Trustworthy Fine-Tuned Text Models Across Knowledge-Grounded Generation and Misinformation Detection","publication_year":2026,"publication_date":"2026-06-11","ids":{"openalex":"https://openalex.org/W7164320292","doi":"https://doi.org/10.3390/make8060161"},"language":"en","primary_location":{"id":"doi:10.3390/make8060161","is_oa":true,"landing_page_url":"https://doi.org/10.3390/make8060161","pdf_url":null,"source":{"id":"https://openalex.org/S4210213891","display_name":"Machine Learning and Knowledge Extraction","issn_l":"2504-4990","issn":["2504-4990"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Machine Learning and Knowledge Extraction","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.3390/make8060161","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5059818498","display_name":"Khrystyna Lipianina-Honcharenko","orcid":"https://orcid.org/0000-0002-2441-6292"},"institutions":[{"id":"https://openalex.org/I160977438","display_name":"West Ukrainian National University","ror":"https://ror.org/047988g19","country_code":"UA","type":"education","lineage":["https://openalex.org/I160977438"]}],"countries":["UA"],"is_corresponding":false,"raw_author_name":"Khrystyna Lipianina-Honcharenko","raw_affiliation_strings":["Department of Information Computer Systems and Control, West Ukrainian National University, 11 Lvivska Str., 46009 Ternopil, Ukraine"],"raw_orcid":"https://orcid.org/0000-0002-2441-6292","affiliations":[{"raw_affiliation_string":"Department of Information Computer Systems and Control, West Ukrainian National University, 11 Lvivska Str., 46009 Ternopil, Ukraine","institution_ids":["https://openalex.org/I160977438"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075650835","display_name":"Pavlo Bykovyy","orcid":"https://orcid.org/0000-0002-5705-5702"},"institutions":[{"id":"https://openalex.org/I160977438","display_name":"West Ukrainian National University","ror":"https://ror.org/047988g19","country_code":"UA","type":"education","lineage":["https://openalex.org/I160977438"]}],"countries":["UA"],"is_corresponding":false,"raw_author_name":"Pavlo Bykovyy","raw_affiliation_strings":["Department of Information Computer Systems and Control, West Ukrainian National University, 11 Lvivska Str., 46009 Ternopil, Ukraine"],"raw_orcid":"https://orcid.org/0000-0002-5705-5702","affiliations":[{"raw_affiliation_string":"Department of Information Computer Systems and Control, West Ukrainian National University, 11 Lvivska Str., 46009 Ternopil, Ukraine","institution_ids":["https://openalex.org/I160977438"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135981144","display_name":"Andriy Krysovatyy","orcid":null},"institutions":[{"id":"https://openalex.org/I160977438","display_name":"West Ukrainian National University","ror":"https://ror.org/047988g19","country_code":"UA","type":"education","lineage":["https://openalex.org/I160977438"]}],"countries":["UA"],"is_corresponding":false,"raw_author_name":"Andriy Krysovatyy","raw_affiliation_strings":["S. I. Yuriy Department of Finance, West Ukrainian National University, 11 Lvivska Str., 46009 Ternopil, Ukraine"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"S. I. Yuriy Department of Finance, West Ukrainian National University, 11 Lvivska Str., 46009 Ternopil, Ukraine","institution_ids":["https://openalex.org/I160977438"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014067711","display_name":"Myroslav Komar","orcid":"https://orcid.org/0000-0001-6541-0359"},"institutions":[{"id":"https://openalex.org/I160977438","display_name":"West Ukrainian National University","ror":"https://ror.org/047988g19","country_code":"UA","type":"education","lineage":["https://openalex.org/I160977438"]}],"countries":["UA"],"is_corresponding":false,"raw_author_name":"Myroslav Komar","raw_affiliation_strings":["Department of Information Computer Systems and Control, West Ukrainian National University, 11 Lvivska Str., 46009 Ternopil, Ukraine"],"raw_orcid":"https://orcid.org/0000-0001-6541-0359","affiliations":[{"raw_affiliation_string":"Department of Information Computer Systems and Control, West Ukrainian National University, 11 Lvivska Str., 46009 Ternopil, Ukraine","institution_ids":["https://openalex.org/I160977438"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5135955644","display_name":"Borys Yazlyuk","orcid":null},"institutions":[{"id":"https://openalex.org/I160977438","display_name":"West Ukrainian National University","ror":"https://ror.org/047988g19","country_code":"UA","type":"education","lineage":["https://openalex.org/I160977438"]}],"countries":["UA"],"is_corresponding":false,"raw_author_name":"Borys Yazlyuk","raw_affiliation_strings":["Department of Economic Expertise and Land Management, West Ukrainian National University, 11 Lvivska Str., 46009 Ternopil, Ukraine"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Economic Expertise and Land Management, West Ukrainian National University, 11 Lvivska Str., 46009 Ternopil, Ukraine","institution_ids":["https://openalex.org/I160977438"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I160977438"],"apc_list":{"value":1400,"currency":"CHF","value_usd":1559},"apc_paid":{"value":1400,"currency":"CHF","value_usd":1559},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.73351232,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"8","issue":"6","first_page":"161","last_page":"161"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11147","display_name":"Misinformation and Its Impacts","score":0.8867999911308289,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11147","display_name":"Misinformation and Its Impacts","score":0.8867999911308289,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.05429999902844429,"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/T13910","display_name":"Computational and Text Analysis Methods","score":0.006800000090152025,"subfield":{"id":"https://openalex.org/subfields/3300","display_name":"General Social Sciences"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.7811999917030334},{"id":"https://openalex.org/keywords/trustworthiness","display_name":"Trustworthiness","score":0.5097000002861023},{"id":"https://openalex.org/keywords/misinformation","display_name":"Misinformation","score":0.4805000126361847},{"id":"https://openalex.org/keywords/imperfect","display_name":"Imperfect","score":0.46970000863075256},{"id":"https://openalex.org/keywords/language-model","display_name":"Language model","score":0.3993000090122223},{"id":"https://openalex.org/keywords/viewpoints","display_name":"Viewpoints","score":0.3393999934196472},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.31220000982284546}],"concepts":[{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7811999917030334},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7444999814033508},{"id":"https://openalex.org/C153701036","wikidata":"https://www.wikidata.org/wiki/Q659974","display_name":"Trustworthiness","level":2,"score":0.5097000002861023},{"id":"https://openalex.org/C2776990098","wikidata":"https://www.wikidata.org/wiki/Q13579947","display_name":"Misinformation","level":2,"score":0.4805000126361847},{"id":"https://openalex.org/C2780310539","wikidata":"https://www.wikidata.org/wiki/Q12547192","display_name":"Imperfect","level":2,"score":0.46970000863075256},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4440000057220459},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.3993000090122223},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.39910000562667847},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3619000017642975},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3564999997615814},{"id":"https://openalex.org/C2776035091","wikidata":"https://www.wikidata.org/wiki/Q7928819","display_name":"Viewpoints","level":2,"score":0.3393999934196472},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.31220000982284546},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.31029999256134033},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.30550000071525574},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.30000001192092896},{"id":"https://openalex.org/C95318506","wikidata":"https://www.wikidata.org/wiki/Q6588467","display_name":"Textual entailment","level":3,"score":0.28790000081062317},{"id":"https://openalex.org/C2985684807","wikidata":"https://www.wikidata.org/wiki/Q1513879","display_name":"Text generation","level":2,"score":0.27970001101493835},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.27549999952316284},{"id":"https://openalex.org/C155092808","wikidata":"https://www.wikidata.org/wiki/Q182557","display_name":"Computational linguistics","level":2,"score":0.27300000190734863},{"id":"https://openalex.org/C62230096","wikidata":"https://www.wikidata.org/wiki/Q275969","display_name":"Crowdsourcing","level":2,"score":0.26589998602867126}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3390/make8060161","is_oa":true,"landing_page_url":"https://doi.org/10.3390/make8060161","pdf_url":null,"source":{"id":"https://openalex.org/S4210213891","display_name":"Machine Learning and Knowledge Extraction","issn_l":"2504-4990","issn":["2504-4990"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Machine Learning and Knowledge Extraction","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:3df0a5a439e74ed2b26edfb3343e90b2","is_oa":false,"landing_page_url":"https://doaj.org/article/3df0a5a439e74ed2b26edfb3343e90b2","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"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":"Machine Learning and Knowledge Extraction, Vol 8, Iss 6, p 161 (2026)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/make8060161","is_oa":true,"landing_page_url":"https://doi.org/10.3390/make8060161","pdf_url":null,"source":{"id":"https://openalex.org/S4210213891","display_name":"Machine Learning and Knowledge Extraction","issn_l":"2504-4990","issn":["2504-4990"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Machine Learning and Knowledge Extraction","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.7859417796134949}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Large":[0],"language":[1,184],"models":[2,35,79,185],"(LLMs)":[3],"increasingly":[4],"require":[5],"robust":[6],"evaluation":[7,26,59],"under":[8,186],"realistic":[9],"instruction-following":[10],"conditions,":[11],"particularly":[12],"for":[13,28,181],"fine-tuned":[14,33,183],"task-specific":[15,112],"adapters":[16,164],"operating":[17],"in":[18,60],"multilingual":[19,160],"environments.":[20],"This":[21],"study":[22],"proposes":[23],"a":[24,99,141,149,175],"scenario-adaptive":[25],"framework":[27,50,173],"assessing":[29],"the":[30,64,72,119,124,129,137,157,172],"reliability":[31],"of":[32,54,104,159],"text":[34],"across":[36],"two":[37],"application":[38],"regimes:":[39],"misinformation":[40],"detection":[41],"(disinfo)":[42],"and":[43,62,67,84,94,132,144,177],"knowledge-grounded":[44],"factual":[45],"biography":[46],"generation":[47,53],"(heroes).":[48],"The":[49,88,153],"integrates":[51],"automated":[52],"balanced":[55],"risk-oriented":[56],"scenarios,":[57],"bilingual":[58,101],"English":[61],"Ukrainian,":[63],"LLM-as-a-Judge":[65],"paradigm,":[66],"multidimensional":[68,145],"robustness":[69,116],"analysis":[70],"through":[71],"Alignment":[73],"Robustness":[74],"Index":[75],"(ARI).":[76],"Six":[77],"LoRA-adapted":[78],"based":[80],"on":[81],"Qwen2.5-3B-Instruct,":[82],"SmolLM2-1.7B-Instruct,":[83],"TinyLlama-1.1B-Chat-v1.0":[85],"were":[86],"evaluated.":[87],"implemented":[89],"pipeline":[90],"generated":[91],"2052":[92],"scenarios":[93],"6156":[95],"model":[96],"responses,":[97],"producing":[98],"final":[100],"analytical":[102],"subset":[103],"4104":[105],"judged":[106],"records.":[107],"Experimental":[108],"results":[109,154],"show":[110],"that":[111],"adaptation":[113],"produces":[114],"task-dependent":[115],"profiles.":[117],"In":[118,135],"disinfo":[120],"case,":[121],"Qwen2.5-3B":[122],"achieved":[123],"strongest":[125],"overall":[126],"performance,":[127],"combining":[128],"highest":[130],"safety":[131,169],"classification":[133],"accuracy.":[134],"contrast,":[136],"heroes":[138],"case":[139],"revealed":[140],"more":[142,166],"compressed":[143],"vulnerability":[146],"space":[147],"without":[148],"single":[150],"dominant":[151],"model.":[152],"further":[155],"demonstrate":[156],"importance":[158],"evaluation,":[161],"as":[162],"weaker":[163],"exhibited":[165],"pronounced":[167],"cross-lingual":[168],"gaps.":[170],"Overall,":[171],"provides":[174],"reproducible":[176],"practically":[178],"applicable":[179],"methodology":[180],"evaluating":[182],"imperfect":[187],"instruction":[188],"conditions.":[189]},"counts_by_year":[],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2026-06-12T00:00:00"}