{"id":"https://openalex.org/W4402667102","doi":"https://doi.org/10.18653/v1/2024.acl-demos.17","title":"IMGTB: A Framework for Machine-Generated Text Detection Benchmarking","display_name":"IMGTB: A Framework for Machine-Generated Text Detection Benchmarking","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4402667102","doi":"https://doi.org/10.18653/v1/2024.acl-demos.17"},"language":"en","primary_location":{"id":"doi:10.18653/v1/2024.acl-demos.17","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2024.acl-demos.17","pdf_url":"https://aclanthology.org/2024.acl-demos.17.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 62nd Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://aclanthology.org/2024.acl-demos.17.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5104202378","display_name":"Michal Spiegel","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Michal Spiegel","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5079722422","display_name":"Dominik Macko","orcid":"https://orcid.org/0000-0002-8235-2004"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dominik Macko","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5104202378"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.13452014,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"172","last_page":"179"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.3005000054836273,"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":0.3005000054836273,"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/benchmarking","display_name":"Benchmarking","score":0.9058256149291992},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7536963224411011},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4466995298862457},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4035723805427551}],"concepts":[{"id":"https://openalex.org/C86251818","wikidata":"https://www.wikidata.org/wiki/Q816754","display_name":"Benchmarking","level":2,"score":0.9058256149291992},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7536963224411011},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4466995298862457},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4035723805427551},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.0},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.18653/v1/2024.acl-demos.17","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2024.acl-demos.17","pdf_url":"https://aclanthology.org/2024.acl-demos.17.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 62nd Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations)","raw_type":"proceedings-article"},{"id":"pmh:oai:zenodo.org:13630211","is_oa":true,"landing_page_url":"https://arxiv.org/abs/arXiv:2311.12574","pdf_url":"http://arxiv.org/pdf/2311.12574","source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"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":"ACL 2024, Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations), Bangkok, Thailand, 11-16 August 2024","raw_type":"info:eu-repo/semantics/conferencePaper"}],"best_oa_location":{"id":"doi:10.18653/v1/2024.acl-demos.17","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2024.acl-demos.17","pdf_url":"https://aclanthology.org/2024.acl-demos.17.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 62nd Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations)","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2151224667","display_name":null,"funder_award_id":"101070093","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G4947509900","display_name":null,"funder_award_id":"10107009","funder_id":"https://openalex.org/F4320334322","funder_display_name":"HORIZON EUROPE Framework Programme"},{"id":"https://openalex.org/G5915888644","display_name":"Vital IntelliGence to Investigate ILlegAl DisiNformaTion","funder_award_id":"101073921","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"}],"funders":[{"id":"https://openalex.org/F4320320300","display_name":"European Commission","ror":"https://ror.org/00k4n6c32"},{"id":"https://openalex.org/F4320334322","display_name":"HORIZON EUROPE Framework Programme","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4402667102.pdf","grobid_xml":"https://content.openalex.org/works/W4402667102.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W4238897586","https://openalex.org/W435179959","https://openalex.org/W2619091065","https://openalex.org/W2059640416","https://openalex.org/W1490753184","https://openalex.org/W2284465472","https://openalex.org/W2291782699","https://openalex.org/W3204019825"],"abstract_inverted_index":{"In":[0],"the":[1,79,84,138,151,154],"era":[2],"of":[3,20,56,86,94,129,144,157],"large":[4],"language":[5],"models":[6],"generating":[7],"high":[8],"quality":[9],"texts,":[10],"it":[11,105],"is":[12,60],"a":[13,45],"necessity":[14],"to":[15,23,37,102,107,137],"develop":[16],"methods":[17,59,65,90,97,132],"for":[18,30,51],"detection":[19,58,89,131,160],"machine-generated":[21,87,158],"text":[22,88,159],"avoid":[24],"their":[25,135],"harmful":[26],"use":[27],"or":[28],"simply":[29],"annotation":[31],"purposes.It":[32],"is,":[33],"however,":[34,54],"also":[35],"important":[36],"properly":[38],"evaluate":[39],"and":[40,69,98,117,123,127,147],"compare":[41,109],"such":[42],"developed":[43],"methods.Recently,":[44],"few":[46],"benchmarks":[47],"have":[48],"been":[49],"proposed":[50],"this":[52,75],"purpose;":[53],"integration":[55,93],"newest":[57],"rather":[61],"challenging,":[62],"since":[63],"new":[64,130],"appear":[66],"each":[67],"month":[68],"provide":[70],"slightly":[71],"different":[72],"evaluation":[73,99],"pipelines.In":[74],"paper,":[76],"we":[77],"present":[78],"IMGTB":[80],"framework,":[81],"which":[82],"simplifies":[83],"benchmarking":[85,161],"by":[91,150],"easy":[92],"custom":[95],"(new)":[96],"datasets.In":[100],"comparison":[101,136],"existing":[103,139],"frameworks,":[104],"enables":[106],"objectively":[108],"statistical":[110],"metricbased":[111],"zero-shot":[112],"detectors":[113,116],"with":[114,118],"classificationbased":[115],"differently":[119],"fine-tuned":[120],"detectors.Its":[121],"configurability":[122],"flexibility":[124],"makes":[125],"research":[126],"development":[128],"easier,":[133],"especially":[134],"state-of-the-art":[140],"detectors.The":[141],"default":[142],"set":[143],"analyses,":[145],"metrics":[146],"visualizations":[148],"offered":[149],"tool":[152],"follows":[153],"established":[155],"practices":[156],"found":[162],"in":[163],"state-of-theart":[164],"literature.":[165]},"counts_by_year":[],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2025-10-10T00:00:00"}