{"id":"https://openalex.org/W7140138447","doi":"https://doi.org/10.18653/v1/2026.eacl-demo.19","title":"LLM BiasScope: A Real-Time Bias Analysis Platform for Comparative LLM Evaluation","display_name":"LLM BiasScope: A Real-Time Bias Analysis Platform for Comparative LLM Evaluation","publication_year":2026,"publication_date":"2026-01-01","ids":{"openalex":"https://openalex.org/W7140138447","doi":"https://doi.org/10.18653/v1/2026.eacl-demo.19"},"language":null,"primary_location":{"id":"doi:10.18653/v1/2026.eacl-demo.19","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2026.eacl-demo.19","pdf_url":"https://aclanthology.org/2026.eacl-demo.19.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 19th Conference of the European Chapter of the Association for Computational Linguistics (Volume 3: System Demonstrations)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://aclanthology.org/2026.eacl-demo.19.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5121765245","display_name":"Himel Ghosh","orcid":null},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]},{"id":"https://openalex.org/I861853513","display_name":"Sapienza University of Rome","ror":"https://ror.org/02be6w209","country_code":"IT","type":"education","lineage":["https://openalex.org/I861853513"]}],"countries":["DE","IT"],"is_corresponding":false,"raw_author_name":"Himel Ghosh","raw_affiliation_strings":["Sapienza University of Rome , Italy","Technical University of Munich , Germany,"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sapienza University of Rome , Italy","institution_ids":["https://openalex.org/I861853513"]},{"raw_affiliation_string":"Technical University of Munich , Germany,","institution_ids":["https://openalex.org/I62916508"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5130326670","display_name":"Nick Elias Werner","orcid":null},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Nick Elias Werner","raw_affiliation_strings":["Technical University of Munich , Germany,"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Technical University of Munich , Germany,","institution_ids":["https://openalex.org/I62916508"]}]}],"institutions":[],"countries_distinct_count":2,"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":0.25255456,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"261","last_page":"270"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.24060000479221344,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.24060000479221344,"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/T10028","display_name":"Topic Modeling","score":0.08940000087022781,"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/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.05130000039935112,"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/automation","display_name":"Automation","score":0.2858999967575073},{"id":"https://openalex.org/keywords/troubleshooting","display_name":"Troubleshooting","score":0.2687999904155731},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.26260000467300415},{"id":"https://openalex.org/keywords/perspective","display_name":"Perspective (graphical)","score":0.2597000002861023},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.25850000977516174}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.45500001311302185},{"id":"https://openalex.org/C115901376","wikidata":"https://www.wikidata.org/wiki/Q184199","display_name":"Automation","level":2,"score":0.2858999967575073},{"id":"https://openalex.org/C147494362","wikidata":"https://www.wikidata.org/wiki/Q2078905","display_name":"Troubleshooting","level":2,"score":0.2687999904155731},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2667999863624573},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.26260000467300415},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.2597000002861023},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.25850000977516174},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2556000053882599},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.24660000205039978},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.23960000276565552}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.18653/v1/2026.eacl-demo.19","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2026.eacl-demo.19","pdf_url":"https://aclanthology.org/2026.eacl-demo.19.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 19th Conference of the European Chapter of the Association for Computational Linguistics (Volume 3: System Demonstrations)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2603.12522","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2603.12522","pdf_url":"https://arxiv.org/pdf/2603.12522","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"doi:10.18653/v1/2026.eacl-demo.19","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2026.eacl-demo.19","pdf_url":"https://aclanthology.org/2026.eacl-demo.19.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 19th Conference of the European Chapter of the Association for Computational Linguistics (Volume 3: System Demonstrations)","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7140138447.pdf","grobid_xml":"https://content.openalex.org/works/W7140138447.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"As":[0],"large":[1],"language":[2],"models":[3,52,101],"(LLMs)":[4],"are":[5],"deployed":[6],"widely,":[7],"detecting":[8],"and":[9,45,48,86,92,110,134,150,175],"understanding":[10],"bias":[11,31,59,65,69,73,96,108,117,132,158,173],"in":[12,116],"their":[13],"outputs":[14,28],"is":[15,120,161],"critical.We":[16],"present":[17],"LLM":[18,27,142,179],"Bi-asScope,":[19],"a":[20,63,111,169],"web":[21,166],"application":[22],"for":[23,76,131,140,157,172],"side-by-side":[24,102],"comparison":[25,112],"of":[26,95,178],"with":[29,103,124],"real-time":[30],"analysis.The":[32],"system":[33,119],"supports":[34],"multiple":[35],"providers":[36],"(Google":[37],"Gemini,":[38],"DeepSeek,":[39],"Mini-Max,":[40],"Mistral,":[41],"Meituan,":[42],"Meta":[43],"Llama)":[44],"enables":[46],"researchers":[47],"practitioners":[49],"to":[50,148],"compare":[51],"on":[53,82,122],"the":[54,136],"same":[55],"prompts":[56,85],"while":[57],"analyzing":[58],"patterns.LLM":[60],"BiasScope":[61,160],"uses":[62,135],"twostage":[64],"detection":[66,70],"pipeline:":[67],"sentence-level":[68],"followed":[71],"by":[72],"type":[74],"classification":[75],"biased":[77],"sentences.The":[78],"analysis":[79,177],"runs":[80],"automatically":[81],"both":[83],"user":[84],"model":[87],"responses,":[88,106],"providing":[89,168],"statistics,":[90],"visualizations,":[91],"detailed":[93],"breakdowns":[94],"types.The":[97],"interface":[98],"displays":[99],"two":[100],"synchronized":[104],"streaming":[105],"per-model":[107],"summaries,":[109],"view":[113],"highlighting":[114],"differences":[115],"distributions.The":[118],"built":[121],"Next.js":[123],"React,":[125],"integrates":[126],"Hugging":[127],"Face":[128],"inference":[129],"endpoints":[130],"detection,":[133],"Vercel":[137],"AI":[138],"SDK":[139],"multiprovider":[141],"access.Features":[143],"include":[144],"realtime":[145],"streaming,":[146],"export":[147],"JSON/PDF,":[149],"interactive":[151],"visualizations":[152],"(bar":[153],"charts,":[154],"radar":[155],"charts)":[156],"analysis.LLM":[159],"available":[162],"as":[163],"an":[164],"open-source":[165],"application,":[167],"practical":[170],"tool":[171],"evaluation":[174],"comparative":[176],"behaviour.":[180]},"counts_by_year":[],"updated_date":"2026-08-26T07:47:46.906454","created_date":"2026-03-24T00:00:00"}