{"id":"https://openalex.org/W7154708059","doi":"https://doi.org/10.48550/arxiv.2604.14640","title":"Fact4ac at the Financial Misinformation Detection Challenge Task: Reference-Free Financial Misinformation Detection via Fine-Tuning and Few-Shot Prompting of Large Language Models","display_name":"Fact4ac at the Financial Misinformation Detection Challenge Task: Reference-Free Financial Misinformation Detection via Fine-Tuning and Few-Shot Prompting of Large Language Models","publication_year":2026,"publication_date":"2026-04-16","ids":{"openalex":"https://openalex.org/W7154708059","doi":"https://doi.org/10.48550/arxiv.2604.14640"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2604.14640","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.14640","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":"article"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2604.14640","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5133867120","display_name":"Cuong Hoang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hoang, Cuong","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5121568751","display_name":"Le-Minh Nguyen","orcid":"https://orcid.org/0000-0002-2265-1010"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Nguyen, Le-Minh","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":2,"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/T11147","display_name":"Misinformation and Its Impacts","score":0.7372999787330627,"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":0.7372999787330627,"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/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.025800000876188278,"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/T11326","display_name":"Stock Market Forecasting Methods","score":0.01940000057220459,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/misinformation","display_name":"Misinformation","score":0.7700999975204468},{"id":"https://openalex.org/keywords/heuristics","display_name":"Heuristics","score":0.5342000126838684},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.48989999294281006},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.48080000281333923},{"id":"https://openalex.org/keywords/credibility","display_name":"Credibility","score":0.36489999294281006},{"id":"https://openalex.org/keywords/financial-market","display_name":"Financial market","score":0.36149999499320984},{"id":"https://openalex.org/keywords/language-model","display_name":"Language model","score":0.35350000858306885},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.35030001401901245}],"concepts":[{"id":"https://openalex.org/C2776990098","wikidata":"https://www.wikidata.org/wiki/Q13579947","display_name":"Misinformation","level":2,"score":0.7700999975204468},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5722000002861023},{"id":"https://openalex.org/C127705205","wikidata":"https://www.wikidata.org/wiki/Q5748245","display_name":"Heuristics","level":2,"score":0.5342000126838684},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.48989999294281006},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.48080000281333923},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.453900009393692},{"id":"https://openalex.org/C2780224610","wikidata":"https://www.wikidata.org/wiki/Q1530061","display_name":"Credibility","level":2,"score":0.36489999294281006},{"id":"https://openalex.org/C19244329","wikidata":"https://www.wikidata.org/wiki/Q208697","display_name":"Financial market","level":2,"score":0.36149999499320984},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.35350000858306885},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.35030001401901245},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.3456000089645386},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3400000035762787},{"id":"https://openalex.org/C2777267654","wikidata":"https://www.wikidata.org/wiki/Q3519023","display_name":"Test (biology)","level":2,"score":0.3400000035762787},{"id":"https://openalex.org/C199033989","wikidata":"https://www.wikidata.org/wiki/Q1318295","display_name":"Narrative","level":2,"score":0.31859999895095825},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.30320000648498535},{"id":"https://openalex.org/C139043278","wikidata":"https://www.wikidata.org/wiki/Q837171","display_name":"Financial services","level":2,"score":0.30230000615119934},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.30219998955726624},{"id":"https://openalex.org/C23925645","wikidata":"https://www.wikidata.org/wiki/Q5449731","display_name":"Financial modeling","level":2,"score":0.2939999997615814},{"id":"https://openalex.org/C76073288","wikidata":"https://www.wikidata.org/wiki/Q1337875","display_name":"Financial risk","level":2,"score":0.2883000075817108},{"id":"https://openalex.org/C2778971194","wikidata":"https://www.wikidata.org/wiki/Q1664551","display_name":"Insider","level":2,"score":0.28360000252723694},{"id":"https://openalex.org/C108154423","wikidata":"https://www.wikidata.org/wiki/Q1469792","display_name":"Salience (neuroscience)","level":2,"score":0.27889999747276306},{"id":"https://openalex.org/C155092808","wikidata":"https://www.wikidata.org/wiki/Q182557","display_name":"Computational linguistics","level":2,"score":0.27459999918937683}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2604.14640","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.14640","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":"article"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2604.14640","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.14640","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":"article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"The":[0],"proliferation":[1],"of":[2,78,112,148,171,188,196],"financial":[3,79,149,201],"misinformation":[4,198],"poses":[5],"a":[6,103],"severe":[7],"threat":[8],"to":[9,74,138,193],"market":[10,16],"stability":[11],"and":[12,18,88,126,178,191,208],"investor":[13],"trust,":[14],"misleading":[15,25],"behavior":[17],"creating":[19],"critical":[20],"information":[21],"asymmetry.":[22],"Detecting":[23],"such":[24],"narratives":[26],"is":[27],"inherently":[28],"challenging,":[29],"particularly":[30],"in":[31,200],"real-world":[32],"scenarios":[33],"where":[34],"external":[35,93],"evidence":[36],"or":[37],"supplementary":[38],"references":[39],"for":[40,51],"cross-verification":[41],"are":[42,210],"strictly":[43],"unavailable.":[44],"This":[45],"paper":[46],"presents":[47],"our":[48,189],"winning":[49],"methodology":[50],"the":[52,61,76,109,141,144,159,174,181,186,194],"\"Reference-Free":[53],"Financial":[54],"Misinformation":[55],"Detection\"":[56],"shared":[57],"task.":[58],"Built":[59],"upon":[60],"recently":[62],"proposed":[63,152],"RFC-BENCH":[64],"framework":[65,105],"(Jiang":[66],"et":[67],"al.":[68],"2026),":[69],"this":[70,97],"task":[71],"challenges":[72],"models":[73,142,206],"determine":[75],"veracity":[77],"claims":[80],"by":[81],"relying":[82],"solely":[83],"on":[84,108,162,173,180],"internal":[85],"semantic":[86],"understanding":[87],"contextual":[89],"consistency,":[90],"rather":[91],"than":[92],"fact-checking.":[94],"To":[95],"address":[96],"formidable":[98],"evaluation":[99],"setup,":[100],"we":[101,167],"propose":[102],"comprehensive":[104],"that":[106],"capitalizes":[107],"reasoning":[110],"capabilities":[111],"state-of-the-art":[113],"Large":[114],"Language":[115,203],"Models":[116],"(LLMs).":[117],"Our":[118,151,205],"approach":[119],"systematically":[120],"integrates":[121],"in-context":[122],"learning,":[123],"specifically":[124],"zero-shot":[125],"few-shot":[127],"prompting":[128],"strategies,":[129],"with":[130,143],"Parameter-Efficient":[131],"Fine-Tuning":[132],"(PEFT)":[133],"via":[134],"Low-Rank":[135],"Adaptation":[136],"(LoRA)":[137],"optimally":[139],"align":[140],"subtle":[145],"linguistic":[146],"cues":[147],"manipulation.":[150],"system":[153],"demonstrated":[154],"superior":[155],"efficacy,":[156],"successfully":[157],"securing":[158],"first-place":[160],"ranking":[161],"both":[163],"official":[164],"leaderboards.":[165],"Specifically,":[166],"achieved":[168],"an":[169],"accuracy":[170],"95.4%":[172],"public":[175],"test":[176,183],"set":[177],"96.3%":[179],"private":[182],"set,":[184],"highlighting":[185],"robustness":[187],"method":[190],"contributing":[192],"acceleration":[195],"context-aware":[197],"detection":[199],"Natural":[202],"Processing.":[204],"(14B":[207],"32B)":[209],"available":[211],"at":[212],"https://huggingface.co/KaiNKaiho.":[213]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2026-04-18T00:00:00"}
