{"id":"https://openalex.org/W7166847262","doi":"https://doi.org/10.18653/v1/2026.semeval-1.154","title":"CUET-823 at SemEval-2026 Task 9: LoRA-Based Instruction Fine-Tuning of LLMs vs. Transformer Models for Bengali Polarization Detection","display_name":"CUET-823 at SemEval-2026 Task 9: LoRA-Based Instruction Fine-Tuning of LLMs vs. Transformer Models for Bengali Polarization Detection","publication_year":2026,"publication_date":"2026-01-01","ids":{"openalex":"https://openalex.org/W7166847262","doi":"https://doi.org/10.18653/v1/2026.semeval-1.154"},"language":null,"primary_location":{"id":"doi:10.18653/v1/2026.semeval-1.154","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2026.semeval-1.154","pdf_url":"https://aclanthology.org/2026.semeval-1.154.pdf","source":null,"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"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://aclanthology.org/2026.semeval-1.154.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5038784548","display_name":"Arpita Mallik","orcid":null},"institutions":[{"id":"https://openalex.org/I102782458","display_name":"Chittagong University of Engineering & Technology","ror":"https://ror.org/052qsay17","country_code":"BD","type":"education","lineage":["https://openalex.org/I102782458"]},{"id":"https://openalex.org/I91090688","display_name":"University of Science and Technology Chittagong","ror":"https://ror.org/00w9tx359","country_code":"BD","type":"education","lineage":["https://openalex.org/I91090688"]}],"countries":["BD"],"is_corresponding":false,"raw_author_name":"Arpita Mallik","raw_affiliation_strings":["Department of Computer Science and Engineering Chittagong University of Engineering and Technology , Bangladesh"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering Chittagong University of Engineering and Technology , Bangladesh","institution_ids":["https://openalex.org/I102782458","https://openalex.org/I91090688"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5126828085","display_name":"Ratnajit Dhar","orcid":null},"institutions":[{"id":"https://openalex.org/I102782458","display_name":"Chittagong University of Engineering & Technology","ror":"https://ror.org/052qsay17","country_code":"BD","type":"education","lineage":["https://openalex.org/I102782458"]},{"id":"https://openalex.org/I91090688","display_name":"University of Science and Technology Chittagong","ror":"https://ror.org/00w9tx359","country_code":"BD","type":"education","lineage":["https://openalex.org/I91090688"]}],"countries":["BD"],"is_corresponding":false,"raw_author_name":"Ratnajit Dhar","raw_affiliation_strings":["Department of Computer Science and Engineering Chittagong University of Engineering and Technology , Bangladesh"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering Chittagong University of Engineering and Technology , Bangladesh","institution_ids":["https://openalex.org/I102782458","https://openalex.org/I91090688"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.83719013,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1128","last_page":"1135"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.2485000044107437,"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":0.2485000044107437,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.1639000028371811,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.10050000250339508,"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/bengali","display_name":"Bengali","score":0.6057000160217285},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.5663999915122986},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.48410001397132874},{"id":"https://openalex.org/keywords/polarization","display_name":"Polarization (electrochemistry)","score":0.3456999957561493}],"concepts":[{"id":"https://openalex.org/C19235068","wikidata":"https://www.wikidata.org/wiki/Q9610","display_name":"Bengali","level":2,"score":0.6057000160217285},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5701000094413757},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.5663999915122986},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.48410001397132874},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44119998812675476},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3698999881744385},{"id":"https://openalex.org/C205049153","wikidata":"https://www.wikidata.org/wiki/Q2698605","display_name":"Polarization (electrochemistry)","level":2,"score":0.3456999957561493},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.32269999384880066},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.2615000009536743},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2401999980211258}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/2026.semeval-1.154","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2026.semeval-1.154","pdf_url":"https://aclanthology.org/2026.semeval-1.154.pdf","source":null,"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-1.154","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2026.semeval-1.154","pdf_url":"https://aclanthology.org/2026.semeval-1.154.pdf","source":null,"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":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7166847262.pdf","grobid_xml":"https://content.openalex.org/works/W7166847262.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"The":[0],"rapid":[1],"growth":[2],"of":[3,100],"social":[4,69],"media":[5,70],"has":[6],"gone":[7],"hand":[8,10],"in":[9,15,124,130],"with":[11,103],"a":[12,60,68,97],"sharp":[13],"increase":[14],"heated":[16],"public":[17],"discussions,":[18],"where":[19],"debates":[20],"about":[21],"elections,":[22],"conflicts,":[23],"protests,":[24],"and":[25,31,107,112,127],"identity":[26],"often":[27],"turn":[28],"into":[29],"divisive":[30],"polarized":[32],"rhetoric.In":[33],"this":[34],"paper,":[35],"we":[36],"present":[37],"our":[38,92],"system":[39],"for":[40],"Se-mEval":[41],"2026":[42],"Task":[43],"9":[44],"Subtask":[45],"1:":[46],"Multilingual":[47],"Text":[48],"Classification":[49],"Challenge-Polarization":[50],"Detection,":[51],"focusing":[52],"specifically":[53],"on":[54],"the":[55,121],"Bengali":[56,131],"language.The":[57],"task":[58],"is":[59],"binary":[61],"classification":[62],"problem":[63],"aimed":[64],"at":[65],"determining":[66],"whether":[67],"post":[71],"exhibits":[72],"attitude":[73],"polarization,":[74],"such":[75],"as":[76],"intolerance,":[77],"dehumanization,":[78],"deindividuation,":[79],"vilification,":[80],"or":[81,87],"stereotyping":[82],"toward":[83],"others":[84],"opinions,":[85],"identities,":[86],"beliefs.Among":[88],"49":[89],"participating":[90],"teams,":[91],"approach":[93],"ranked":[94],"2nd,":[95],"achieving":[96],"macro-F1":[98],"score":[99],"0.8582.We":[101],"experimented":[102],"both":[104],"transformer-based":[105],"models":[106,110],"large":[108],"language":[109],"(LLMs),":[111],"observed":[113],"that":[114],"LoRA-based":[115],"instruction":[116],"fine-tuned":[117],"LLM-based":[118],"approaches":[119],"delivered":[120],"strongest":[122],"performance":[123],"detecting":[125],"nuanced":[126],"contextdependent":[128],"polarization":[129],"text.":[132]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2026-07-02T00:00:00"}