{"id":"https://openalex.org/W4389724689","doi":"https://doi.org/10.1109/clei60451.2023.10346136","title":"Exploring the Limits of Large Language Models for Word Definition Generation: A Comparative Analysis","display_name":"Exploring the Limits of Large Language Models for Word Definition Generation: A Comparative Analysis","publication_year":2023,"publication_date":"2023-10-16","ids":{"openalex":"https://openalex.org/W4389724689","doi":"https://doi.org/10.1109/clei60451.2023.10346136"},"language":"en","primary_location":{"id":"doi:10.1109/clei60451.2023.10346136","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/clei60451.2023.10346136","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 XLIX Latin American Computer Conference (CLEI)","raw_type":"proceedings-article"},"type":"article","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/A5093489205","display_name":"Esteban Rodr\u00edguez-Betancourt","orcid":null},"institutions":[{"id":"https://openalex.org/I31944674","display_name":"Universidad de Costa Rica","ror":"https://ror.org/02yzgww51","country_code":"CR","type":"education","lineage":["https://openalex.org/I31944674"]}],"countries":["CR"],"is_corresponding":true,"raw_author_name":"Esteban Rodr\u00edguez-Betancourt","raw_affiliation_strings":["Universidad de Costa Rica,Posgrado en Computaci&#x00F3;n e Inform&#x00E1;tica"],"affiliations":[{"raw_affiliation_string":"Universidad de Costa Rica,Posgrado en Computaci&#x00F3;n e Inform&#x00E1;tica","institution_ids":["https://openalex.org/I31944674"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103748298","display_name":"\u00c9dgar Casasola Murillo","orcid":"https://orcid.org/0000-0002-4863-1640"},"institutions":[{"id":"https://openalex.org/I31944674","display_name":"Universidad de Costa Rica","ror":"https://ror.org/02yzgww51","country_code":"CR","type":"education","lineage":["https://openalex.org/I31944674"]}],"countries":["CR"],"is_corresponding":false,"raw_author_name":"Edgar Casasola-Murillo","raw_affiliation_strings":["Escuela de Ciencias de la Computaci&#x00F3;n, Universidad de Costa Rica"],"affiliations":[{"raw_affiliation_string":"Escuela de Ciencias de la Computaci&#x00F3;n, Universidad de Costa Rica","institution_ids":["https://openalex.org/I31944674"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5093489205"],"corresponding_institution_ids":["https://openalex.org/I31944674"],"apc_list":null,"apc_paid":null,"fwci":0.1744,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.59449245,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9993000030517578,"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/T13629","display_name":"Text Readability and Simplification","score":0.9922999739646912,"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/computer-science","display_name":"Computer science","score":0.7171279191970825},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6286605596542358},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6133989095687866},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5884002447128296},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.5732925534248352},{"id":"https://openalex.org/keywords/strengths-and-weaknesses","display_name":"Strengths and weaknesses","score":0.5089492797851562},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5012490749359131},{"id":"https://openalex.org/keywords/meaning","display_name":"Meaning (existential)","score":0.4633949398994446},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.4584777355194092},{"id":"https://openalex.org/keywords/language-model","display_name":"Language model","score":0.4496963620185852},{"id":"https://openalex.org/keywords/cosine-similarity","display_name":"Cosine similarity","score":0.4418943226337433},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.4384104311466217},{"id":"https://openalex.org/keywords/natural-language","display_name":"Natural language","score":0.4301183819770813},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3325446844100952},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.27606093883514404},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.16251197457313538},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.11648017168045044},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08613291382789612},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.08507761359214783}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7171279191970825},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6286605596542358},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6133989095687866},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5884002447128296},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.5732925534248352},{"id":"https://openalex.org/C63882131","wikidata":"https://www.wikidata.org/wiki/Q17122954","display_name":"Strengths and weaknesses","level":2,"score":0.5089492797851562},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5012490749359131},{"id":"https://openalex.org/C2780876879","wikidata":"https://www.wikidata.org/wiki/Q3054749","display_name":"Meaning (existential)","level":2,"score":0.4633949398994446},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.4584777355194092},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.4496963620185852},{"id":"https://openalex.org/C2780762811","wikidata":"https://www.wikidata.org/wiki/Q1784941","display_name":"Cosine similarity","level":3,"score":0.4418943226337433},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.4384104311466217},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.4301183819770813},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3325446844100952},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.27606093883514404},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.16251197457313538},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.11648017168045044},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08613291382789612},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.08507761359214783},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.0},{"id":"https://openalex.org/C542102704","wikidata":"https://www.wikidata.org/wiki/Q183257","display_name":"Psychotherapist","level":1,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/clei60451.2023.10346136","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/clei60451.2023.10346136","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 XLIX Latin American Computer Conference (CLEI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.8500000238418579}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W2740887992","https://openalex.org/W2774772126","https://openalex.org/W2810140910","https://openalex.org/W2882319491","https://openalex.org/W2946748737","https://openalex.org/W2964303159","https://openalex.org/W2970641574","https://openalex.org/W2999905431","https://openalex.org/W3001279689","https://openalex.org/W3017887871","https://openalex.org/W3082712696","https://openalex.org/W3166200734","https://openalex.org/W4226278401","https://openalex.org/W4307079201","https://openalex.org/W6744086694","https://openalex.org/W6752453260","https://openalex.org/W6770035053","https://openalex.org/W6772383348","https://openalex.org/W6778883912","https://openalex.org/W6782985736"],"related_works":["https://openalex.org/W4295769391","https://openalex.org/W2972220648","https://openalex.org/W2332667808","https://openalex.org/W1997921863","https://openalex.org/W3112960490","https://openalex.org/W93605524","https://openalex.org/W2021145421","https://openalex.org/W821271700","https://openalex.org/W2183009720","https://openalex.org/W2100785378"],"abstract_inverted_index":{"In":[0],"this":[1,56],"paper,":[2],"we":[3,62],"explore":[4],"the":[5,23,38,50,124,127],"ability":[6],"of":[7,25,32,52,66,97,126,140],"large":[8],"language":[9,162],"models":[10,54,114,128],"(LLMs)":[11],"to":[12,36,40,116,137],"generate":[13,117],"word":[14],"definitions":[15,74,119,147],"for":[16,55,148,155],"newly":[17],"invented":[18],"words":[19],"in":[20,75,145,160],"Spanish":[21],"through":[22],"task":[24],"Unknown":[26],"Definition":[27],"Modeling.":[28],"The":[29],"main":[30],"goal":[31],"our":[33,60,138],"study":[34,135],"is":[35],"determine":[37],"extent":[39],"which":[41],"LLMs":[42],"can":[43],"abstract":[44],"meaning":[45],"from":[46],"context":[47],"and":[48,72,87,100,143,151,158],"compare":[49],"performance":[51,125],"different":[53],"task.":[57],"To":[58],"conduct":[59],"analysis,":[61],"created":[63],"a":[64,105],"dataset":[65],"20":[67],"made-up":[68],"words,":[69,150],"usage":[70],"examples,":[71],"their":[73,132],"Spanish.":[76],"We":[77],"then":[78],"evaluated":[79],"several":[80],"LLMs,":[81],"including":[82],"OpenAI":[83,85],"GPT-3.5-turbo,":[84],"GPT-3,":[86],"Google":[88],"Flan-T5,":[89],"using":[90],"automatic":[91],"evaluation":[92,103],"based":[93],"on":[94,104],"cosine":[95],"similarity":[96],"sentence":[98],"embeddings":[99],"qualitative":[101],"human":[102],"4-point":[106],"Likert":[107],"scale.":[108],"Our":[109],"findings":[110],"indicate":[111],"that":[112],"larger":[113],"tend":[115],"better":[118],"than":[120],"smaller":[121],"models,":[122],"with":[123,131],"generally":[129],"aligning":[130],"size.":[133],"This":[134],"contributes":[136],"understanding":[139],"LLMs'":[141],"strengths":[142],"weaknesses":[144],"generating":[146],"unknown":[149],"offers":[152],"valuable":[153],"insights":[154],"future":[156],"research":[157],"applications":[159],"natural":[161],"processing.":[163]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-03-25T13:04:00.132906","created_date":"2025-10-10T00:00:00"}
