{"id":"https://openalex.org/W7166805348","doi":"https://doi.org/10.18653/v1/2026.semeval-1.178","title":"Unibuc-NLP at SemEval-2026 Task 10: Unmasking Conspiracies with Pre-Trained Language Models","display_name":"Unibuc-NLP at SemEval-2026 Task 10: Unmasking Conspiracies with Pre-Trained Language Models","publication_year":2026,"publication_date":"2026-01-01","ids":{"openalex":"https://openalex.org/W7166805348","doi":"https://doi.org/10.18653/v1/2026.semeval-1.178"},"language":"en","primary_location":{"id":"doi:10.18653/v1/2026.semeval-1.178","doi":"https://doi.org/10.18653/v1/2026.semeval-1.178","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2026.semeval-1.178","pdf_url":"https://aclanthology.org/2026.semeval-1.178.pdf","source":{"id":"https://openalex.org/S4363608670","display_name":"International Workshop on Semantic Evaluation (SemEval)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 20th International Workshop on Semantic Evaluation (2026)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://aclanthology.org/2026.semeval-1.178.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5098937181","display_name":"Teodor-George Marchitan","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I141595442","display_name":"University of Bucharest","ror":"https://ror.org/02x2v6p15","country_code":"RO","type":"education","lineage":["https://openalex.org/I141595442"]}],"countries":["RO"],"is_corresponding":false,"raw_author_name":"Teodor-George Marchitan","raw_affiliation_strings":["HLT Research Center","University of Bucharest , Faculty of Mathematics and Computer Science ,"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"HLT Research Center","institution_ids":[]},{"raw_affiliation_string":"University of Bucharest , Faculty of Mathematics and Computer Science ,","institution_ids":["https://openalex.org/I141595442"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016525601","display_name":"Liviu Dinu","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I141595442","display_name":"University of Bucharest","ror":"https://ror.org/02x2v6p15","country_code":"RO","type":"education","lineage":["https://openalex.org/I141595442"]}],"countries":["RO"],"is_corresponding":false,"raw_author_name":"Liviu Dinu","raw_affiliation_strings":["HLT Research Center","University of Bucharest , Faculty of Mathematics and Computer Science ,"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"HLT Research Center","institution_ids":[]},{"raw_affiliation_string":"University of Bucharest , Faculty of Mathematics and Computer Science ,","institution_ids":["https://openalex.org/I141595442"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I141595442"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.44302689,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1379","last_page":"1384"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11147","display_name":"Misinformation and Its Impacts","score":0.9937000274658203,"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":0.9937000274658203,"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":0.002899999963119626,"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/T12262","display_name":"Hate Speech and Cyberbullying Detection","score":0.0017000000225380063,"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/reddit-comments","display_name":"Reddit comments","score":0.8539999723434448},{"id":"https://openalex.org/keywords/pooling-strategies","display_name":"pooling strategies","score":0.6320000290870667},{"id":"https://openalex.org/keywords/mistral-7b","display_name":"Mistral-7B","score":0.8460000157356262},{"id":"https://openalex.org/keywords/qwen3","display_name":"Qwen3","score":0.7319999933242798},{"id":"https://openalex.org/keywords/readability-features","display_name":"readability features","score":0.6890000104904175},{"id":"https://openalex.org/keywords/hate-speech-detection","display_name":"hate speech detection","score":0.6150000095367432}],"concepts":[{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6561999917030334},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5845000147819519},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.48260000348091125},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.44920000433921814},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4146000146865845},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.3587000072002411},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.3319000005722046},{"id":"https://openalex.org/C46312422","wikidata":"https://www.wikidata.org/wiki/Q11024","display_name":"Communication","level":1,"score":0.31529998779296875},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.3138999938964844},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.2973000109195709},{"id":"https://openalex.org/C2983448237","wikidata":"https://www.wikidata.org/wiki/Q1078276","display_name":"Language understanding","level":2,"score":0.28380000591278076},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.2782000005245209},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.2712000012397766},{"id":"https://openalex.org/C188147891","wikidata":"https://www.wikidata.org/wiki/Q147638","display_name":"Cognitive science","level":1,"score":0.26010000705718994},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.25189998745918274}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/2026.semeval-1.178","doi":"https://doi.org/10.18653/v1/2026.semeval-1.178","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2026.semeval-1.178","pdf_url":"https://aclanthology.org/2026.semeval-1.178.pdf","source":{"id":"https://openalex.org/S4363608670","display_name":"International Workshop on Semantic Evaluation (SemEval)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 20th International Workshop on Semantic Evaluation (2026)","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/2026.semeval-1.178","doi":"https://doi.org/10.18653/v1/2026.semeval-1.178","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2026.semeval-1.178","pdf_url":"https://aclanthology.org/2026.semeval-1.178.pdf","source":{"id":"https://openalex.org/S4363608670","display_name":"International Workshop on Semantic Evaluation (SemEval)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 20th International Workshop on Semantic Evaluation (2026)","raw_type":"proceedings-article"},"sustainable_development_goals":[],"sustainable_development_goals_aurora":[{"display_name":"Reduced inequalities","score":0.5614554286003113,"id":"https://metadata.un.org/sdg/10"}],"study_designs":[],"awards":[{"id":"https://openalex.org/G1008782263","display_name":null,"funder_award_id":"351416","funder_id":"https://openalex.org/F4320311068","funder_display_name":"Health Resources in Action"}],"funders":[{"id":"https://openalex.org/F4320311068","display_name":"Health Resources in Action","ror":"https://ror.org/01ctnwa22"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7166805348.pdf","grobid_xml":"https://content.openalex.org/works/W7166805348.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W7166817366","https://openalex.org/W7166800512","https://openalex.org/W7166838657","https://openalex.org/W7166886127","https://openalex.org/W7166832552","https://openalex.org/W7166801833","https://openalex.org/W7166829416","https://openalex.org/W7166822301","https://openalex.org/W7166871859","https://openalex.org/W7166824089"],"abstract_inverted_index":{"The":[0],"paper":[1],"describes":[2],"the":[3,95,109,136],"system":[4],"submitted":[5],"by":[6,45,113],"team":[7],"Unibuc-NLP":[8],"to":[9],"SemEval-2026":[10],"Task":[11],"10":[12],"(PsyCoMark)":[13],"Subtask":[14],"2:":[15],"detecting":[16],"whether":[17],"a":[18,22,60,83,87,102,116],"Reddit":[19],"comment":[20],"expresses":[21],"conspiracy":[23],"belief.We":[24],"investigate":[25],"three":[26],"modeling":[27],"paradigms:":[28],"(A)":[29],"an":[30],"embedding-and-classify":[31],"pipeline":[32],"using":[33],"Jina-embeddings-v3,":[34],"HateBERT":[35],"and":[36,65,69],"BERT-Sentiment":[37],"with":[38,59,82],"Optuna-tuned":[39],"classical":[40],"ML":[41],"models,":[42],"optionally":[43],"enriched":[44],"19":[46],"readability":[47],"features":[48,126],"from":[49],"textstat;":[50],"(B)":[51],"end-to-end":[52],"fine-tuning":[53,73],"of":[54,74,90,119],"encoder":[55],"transformers":[56],"(DeBERTa-v3-base,":[57],"DistilBERT)":[58],"compact":[61],"128-unit":[62],"classifier":[63],"head":[64],"multiple":[66],"pooling":[67,104],"strategies;":[68],"(C)":[70],"parameter-efficient":[71],"QLoRA":[72],"large":[75],"decoder-only":[76],"models":[77],"(Mistral-7B-v0.3,Qwen3-0.6B).Our":[78],"best":[79],"system,":[80],"DeBERTa-v3base":[81],"128-dimensional":[84],"classifier,":[85],"achieves":[86],"weighted":[88,103,117],"F1":[89,118],"0.74,":[91],"ranking":[92],"29/52":[93],"on":[94,108],"official":[96,110],"leaderboard.Post-submission":[97],"analysis":[98],"further":[99],"reveals":[100],"that":[101,124],"strategy":[105],"outperforms":[106],"[CLS]":[107],"validation":[111],"split":[112],"+0.04,":[114],"achieving":[115],"0.78":[120],"(rank":[121],"8/52),":[122],"suggesting":[123],"conspiracy-relevant":[125],"are":[127],"distributed":[128],"across":[129],"transformer":[130],"layers":[131],"rather":[132],"than":[133],"concentrated":[134],"at":[135],"final":[137],"output.":[138]},"counts_by_year":[],"updated_date":"2026-10-28T10:33:24.094632","created_date":"2026-07-02T00:00:00"}