{"id":"https://openalex.org/W7140141597","doi":"https://doi.org/10.18653/v1/2026.eacl-long.187","title":"TempViz: On the Evaluation of Temporal Knowledge in Text-to-Image Models","display_name":"TempViz: On the Evaluation of Temporal Knowledge in Text-to-Image Models","publication_year":2026,"publication_date":"2026-01-01","ids":{"openalex":"https://openalex.org/W7140141597","doi":"https://doi.org/10.18653/v1/2026.eacl-long.187"},"language":null,"primary_location":{"id":"doi:10.18653/v1/2026.eacl-long.187","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2026.eacl-long.187","pdf_url":"https://aclanthology.org/2026.eacl-long.187.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 1: Long Papers)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://aclanthology.org/2026.eacl-long.187.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5030047993","display_name":"Carolin Holtermann","orcid":"https://orcid.org/0000-0003-0449-1348"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Carolin Holtermann","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5123623534","display_name":"Nina Krebs","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Nina Krebs","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5130357558","display_name":"Anne lauscher","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Anne Lauscher","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"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":0.38897861,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"4006","last_page":"4028"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11714","display_name":"Multimodal Machine Learning Applications","score":0.5830000042915344,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.5830000042915344,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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":0.07410000264644623,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.0608999989926815,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/feature","display_name":"Feature (linguistics)","score":0.28439998626708984},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.24320000410079956},{"id":"https://openalex.org/keywords/knowledge-based-systems","display_name":"Knowledge-based systems","score":0.24199999868869781},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.2410999983549118},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.23149999976158142}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5683000087738037},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4560000002384186},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.28439998626708984},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2718999981880188},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2637999951839447},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.24320000410079956},{"id":"https://openalex.org/C115925183","wikidata":"https://www.wikidata.org/wiki/Q1412694","display_name":"Knowledge-based systems","level":2,"score":0.24199999868869781},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.2410999983549118},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.23149999976158142},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.22519999742507935}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/2026.eacl-long.187","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2026.eacl-long.187","pdf_url":"https://aclanthology.org/2026.eacl-long.187.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 1: Long Papers)","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/2026.eacl-long.187","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2026.eacl-long.187","pdf_url":"https://aclanthology.org/2026.eacl-long.187.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 1: Long Papers)","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320315885","display_name":"Australian Government","ror":"https://ror.org/0314h5y94"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7140141597.pdf","grobid_xml":"https://content.openalex.org/works/W7140141597.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Time":[0],"alters":[1],"the":[2,72,97,152],"visual":[3],"appearance":[4],"of":[5,85,99,140,147],"entities":[6],"in":[7,33,36,48,61,81,161],"our":[8],"world,":[9],"like":[10],"objects,":[11],"places,":[12],"and":[13,21,44,58,88],"animals.Thus,":[14],"for":[15,29,155],"accurately":[16],"generating":[17,30],"contextuallyrelevant":[18],"images,":[19],"knowledge":[20,47,80,106,160],"reasoning":[22],"about":[23],"time":[24],"can":[25],"be":[26],"crucial":[27],"(e.g.,":[28],"a":[31,144],"landscape":[32],"spring":[34],"vs.":[35],"winter).Yet,":[37],"although":[38],"substantial":[39],"work":[40],"exists":[41],"on":[42,53,158],"understanding":[43],"improving":[45],"temporal":[46,55,79,105,111,148,159],"natural":[49],"language":[50],"processing,":[51],"research":[52,157],"how":[54],"phenomena":[56],"appear":[57],"are":[59],"handled":[60],"text-to-image":[62],"(T2I)":[63],"models":[64,102],"remains":[65],"scarce.We":[66],"address":[67],"this":[68],"gap":[69],"with":[70,116],"TEMPVIZ,":[71,94],"first":[73],"data":[74],"set":[75],"to":[76],"holistically":[77],"evaluate":[78],"image":[82],"generation,":[83],"consisting":[84],"7.9k":[86],"prompts":[87],"more":[89],"than":[90],"600":[91],"reference":[92],"images.Using":[93],"we":[95,126],"study":[96],"capabilities":[98],"five":[100,104],"T2I":[101],"across":[103,122],"categories.Human":[107],"evaluation":[108,130],"shows":[109],"that":[110],"competence":[112],"is":[113],"generally":[114],"weak,":[115],"no":[117],"model":[118],"exceeding":[119],"75%":[120],"accuracy":[121],"categories.Towards":[123],"larger-scale":[124],"studies,":[125],"also":[127],"examine":[128],"automated":[129],"methods,":[131],"comparing":[132],"several":[133],"established":[134],"approaches":[135,142],"against":[136],"human":[137],"judgments.However,":[138],"none":[139],"these":[141],"provides":[143],"reliable":[145],"assessment":[146],"cues":[149],"-further":[150],"indicating":[151],"pressing":[153],"need":[154],"future":[156],"T2I.":[162]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2026-03-24T00:00:00"}