{"id":"https://openalex.org/W4411630234","doi":"https://doi.org/10.18653/v1/2023.inlg-genchal.2","title":"Long Story Generation Challenge","display_name":"Long Story Generation Challenge","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4411630234","doi":"https://doi.org/10.18653/v1/2023.inlg-genchal.2"},"language":"en","primary_location":{"id":"doi:10.18653/v1/2023.inlg-genchal.2","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2023.inlg-genchal.2","pdf_url":"https://aclanthology.org/2023.inlg-genchal.2.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 16th International Natural Language Generation Conference: Generation Challenges","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://aclanthology.org/2023.inlg-genchal.2.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5118625546","display_name":"Nikolay Mikhaylovskiy","orcid":null},"institutions":[{"id":"https://openalex.org/I196355604","display_name":"National Research Tomsk State University","ror":"https://ror.org/02he2nc27","country_code":"RU","type":"education","lineage":["https://openalex.org/I196355604"]},{"id":"https://openalex.org/I4210130051","display_name":"Nanomaterials & Nanofabrication Laboratories (United States)","ror":"https://ror.org/03s4b7629","country_code":"US","type":"company","lineage":["https://openalex.org/I4210130051"]}],"countries":["RU","US"],"is_corresponding":true,"raw_author_name":"Nikolay Mikhaylovskiy","raw_affiliation_strings":["Higher IT School , Tomsk State University , Tomsk , Russia , 634050","NTR Labs , Moscow , Russia , 129594"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Higher IT School , Tomsk State University , Tomsk , Russia , 634050","institution_ids":["https://openalex.org/I196355604"]},{"raw_affiliation_string":"NTR Labs , Moscow , Russia , 129594","institution_ids":["https://openalex.org/I4210130051"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5118625546"],"corresponding_institution_ids":["https://openalex.org/I196355604","https://openalex.org/I4210130051"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.44922318,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"10","last_page":"16"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13280","display_name":"Biomedical and Engineering Education","score":0.07840000092983246,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T13280","display_name":"Biomedical and Engineering Education","score":0.07840000092983246,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5642579197883606}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5642579197883606}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/2023.inlg-genchal.2","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2023.inlg-genchal.2","pdf_url":"https://aclanthology.org/2023.inlg-genchal.2.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 16th International Natural Language Generation Conference: Generation Challenges","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/2023.inlg-genchal.2","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2023.inlg-genchal.2","pdf_url":"https://aclanthology.org/2023.inlg-genchal.2.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 16th International Natural Language Generation Conference: Generation Challenges","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4411630234.pdf","grobid_xml":"https://content.openalex.org/works/W4411630234.grobid-xml"},"referenced_works_count":2,"referenced_works":["https://openalex.org/W3209374680","https://openalex.org/W4366330700"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"We":[0],"propose":[1],"a":[2,17,31,38,65,114,128,146],"shared":[3],"task":[4,109],"of":[5,33,42,60,130],"human-like":[6,104,116],"long":[7,20,98,105,117],"story":[8,21,106,118],"generation,":[9],"LSG":[10,71],"Challenge,":[11],"that":[12,70],"asks":[13,110],"models":[14,111],"to":[15,79,95,112],"output":[16,113],"consistent":[18,97,115],"humanlike":[19],"(a":[22,119],"Harry":[23,120],"Potter":[24,121],"generic":[25,122],"audience":[26,123],"fanfic":[27,124],"in":[28,125,142,151],"English),":[29,126],"given":[30,127],"prompt":[32,129],"about":[34,131],"1K":[35,132],"tokens.We":[36],"suggest":[37],"novel":[39],"statistical":[40],"metric":[41,63],"the":[43,58,93],"text":[44,88,134],"structuredness,":[45],"GloVe":[46],"Autocorrelations":[47],"Power/":[48],"Exponential":[49],"Law":[50],"Mean":[51],"Absolute":[52],"Percentage":[53],"Error":[54],"Ratio":[55],"(GAPELMAPER)":[56],"and":[57,64,86,91,145],"use":[59],"previously-known":[61],"UNION":[62],"human":[66,147],"evaluation":[67,148],"protocol.We":[68],"hope":[69],"Challenge":[72],"can":[73],"open":[74],"new":[75],"avenues":[76],"for":[77],"researchers":[78],"investigate":[80],"sampling":[81],"approaches,":[82],"prompting":[83],"strategies,":[84],"autoregressive":[85],"non-autoregressive":[87],"generation":[89,107],"architectures":[90],"break":[92],"barrier":[94],"generate":[96],"(40K+":[99],"word)":[100],"texts.":[101],"Task":[102],"OverviewThe":[103],"(LSG)":[108],"tokens.The":[133],"will":[135],"be":[136],"evaluated":[137],"by":[138],"automated":[139],"metrics":[140],"described":[141,150],"Section":[143,152],"3.1,":[144],"protocol":[149],"3.2.":[153]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
