{"id":"https://openalex.org/W4401201259","doi":"https://doi.org/10.1109/tele62556.2024.10605662","title":"Generative AI Models with Their Full Reveal*","display_name":"Generative AI Models with Their Full Reveal*","publication_year":2024,"publication_date":"2024-06-20","ids":{"openalex":"https://openalex.org/W4401201259","doi":"https://doi.org/10.1109/tele62556.2024.10605662"},"language":"en","primary_location":{"id":"doi:10.1109/tele62556.2024.10605662","doi":"https://doi.org/10.1109/tele62556.2024.10605662","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tele62556.2024.10605662","pdf_url":null,"source":{"id":"https://openalex.org/S7407087953","display_name":"International Conference on Technology Enhanced Learning in Higher Education (TELE)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 4th International Conference on Technology Enhanced Learning in Higher Education (TELE)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5091279058","display_name":"Yu. V. Chekhovich","orcid":"https://orcid.org/0000-0002-5204-5484","observed_orcids":["https://orcid.org/0000-0002-5204-5484"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yury Chekhovich","raw_affiliation_strings":["Antiplagiat Company,Moscow,Russia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Antiplagiat Company,Moscow,Russia","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057859442","display_name":"Andrey Grabovoy","orcid":"https://orcid.org/0000-0002-4031-0025","observed_orcids":["https://orcid.org/0000-0002-4031-0025"]},"institutions":[{"id":"https://openalex.org/I153845743","display_name":"Moscow Institute of Physics and Technology","ror":"https://ror.org/00v0z9322","country_code":"RU","type":"education","lineage":["https://openalex.org/I153845743"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Andrey Grabovoy","raw_affiliation_strings":["Antiplagiat Company Moscow Institute of Physics and Technology,Moscow,Russia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Antiplagiat Company Moscow Institute of Physics and Technology,Moscow,Russia","institution_ids":["https://openalex.org/I153845743"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5106066836","display_name":"German Gritsai","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I153845743","display_name":"Moscow Institute of Physics and Technology","ror":"https://ror.org/00v0z9322","country_code":"RU","type":"education","lineage":["https://openalex.org/I153845743"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"German Gritsai","raw_affiliation_strings":["Antiplagiat Company Moscow Institute of Physics and Technology,Moscow,Russia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Antiplagiat Company Moscow Institute of Physics and Technology,Moscow,Russia","institution_ids":["https://openalex.org/I153845743"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3054,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.50447172,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":93},"biblio":{"volume":null,"issue":null,"first_page":"17","last_page":"22"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9018999934196472,"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":0.9018999934196472,"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":0.07289999723434448,"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/T13904","display_name":"Artificial Intelligence Applications","score":0.008200000040233135,"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/large-language-models","display_name":"large language models","score":0.9980000257492065},{"id":"https://openalex.org/keywords/generative-ai","display_name":"generative AI","score":0.9300000071525574},{"id":"https://openalex.org/keywords/sampling-from-probability-distributions","display_name":"sampling from probability distributions","score":0.7360000014305115},{"id":"https://openalex.org/keywords/recurrent-neural-networks","display_name":"recurrent neural networks","score":1.0},{"id":"https://openalex.org/keywords/attention-mechanism","display_name":"attention mechanism","score":0.9919999837875366},{"id":"https://openalex.org/keywords/transformer","display_name":"transformer models","score":0.8889999985694885},{"id":"https://openalex.org/keywords/ai-ethics","display_name":"AI ethics","score":0.5740000009536743}],"concepts":[{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.7202520370483398},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7039321660995483},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5575759410858154},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4395168721675873},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.42251652479171753}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tele62556.2024.10605662","doi":"https://doi.org/10.1109/tele62556.2024.10605662","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tele62556.2024.10605662","pdf_url":null,"source":{"id":"https://openalex.org/S7407087953","display_name":"International Conference on Technology Enhanced Learning in Higher Education (TELE)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 4th International Conference on Technology Enhanced Learning in Higher Education (TELE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W46679369","https://openalex.org/W1816313093","https://openalex.org/W2064675550","https://openalex.org/W2107878631","https://openalex.org/W2247733540","https://openalex.org/W2626778328","https://openalex.org/W2897105542","https://openalex.org/W2962784628","https://openalex.org/W3030163527","https://openalex.org/W3097727957","https://openalex.org/W4226278401","https://openalex.org/W4254635861","https://openalex.org/W4312911047","https://openalex.org/W4322718191","https://openalex.org/W4384918448","https://openalex.org/W4387643322","https://openalex.org/W4391898954","https://openalex.org/W4392654075","https://openalex.org/W7133211372"],"related_works":["https://openalex.org/W7172212056","https://openalex.org/W7164034483","https://openalex.org/W4402928893","https://openalex.org/W4409287991","https://openalex.org/W7135241492","https://openalex.org/W4409514225","https://openalex.org/W6911811326","https://openalex.org/W4402415352","https://openalex.org/W4413023775","https://openalex.org/W4394755328"],"abstract_inverted_index":{"The":[0,20],"paper":[1,24],"deals":[2],"with":[3,102,118],"Large":[4,37],"Language":[5,38],"Models":[6,39],"(LLM).":[7],"We":[8,50,81],"present":[9],"a":[10,87],"historical":[11],"overview":[12],"of":[13,16,22,33,73,99],"the":[14,23,28,70,84,97,110,113,127],"development":[15],"text":[17],"generation":[18],"algorithms.":[19],"aim":[21],"is":[25,93],"to":[26,95,124],"show":[27],"main":[29],"properties":[30],"and":[31,47,66,78,105],"limitations":[32],"services":[34,101],"based":[35],"on":[36,52,129],"when":[40],"their":[41,130],"results":[42],"are":[43,116],"used":[44],"in":[45,76,86],"scientific":[46,77],"educational":[48],"texts.":[49],"touch":[51],"concepts":[53,115],"such":[54],"as":[55],"sampling":[56],"from":[57],"distribution,":[58],"Recurrent":[59],"Neural":[60],"Network,":[61],"Attention":[62],"mechanism,":[63],"Transformer":[64],"architecture":[65],"provide":[67],"guidelines":[68],"for":[69],"ethical":[71],"use":[72],"generated":[74],"texts":[75],"academic":[79],"papers.":[80],"have":[82],"presented":[83],"material":[85],"popular":[88],"form,":[89],"so":[90],"that":[91,120],"it":[92],"possible":[94],"understand":[96],"principles":[98],"generative":[100],"general":[103],"erudition":[104],"certain":[106],"computer":[107],"skills.":[108],"At":[109],"same":[111],"time,":[112],"key":[114],"provided":[117],"references":[119],"will":[121],"allow":[122],"readers":[123],"delve":[125],"into":[126],"area":[128],"own":[131],"if":[132],"necessary.":[133]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2026-11-10T11:39:43.021295","created_date":"2024-08-01T00:00:00"}
