{"id":"https://openalex.org/W4382703364","doi":"https://doi.org/10.1007/978-3-031-36021-3_15","title":"Fine-Tuning Large Language Models for\u00a0Answering Programming Questions with\u00a0Code Snippets","display_name":"Fine-Tuning Large Language Models for\u00a0Answering Programming Questions with\u00a0Code Snippets","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4382703364","doi":"https://doi.org/10.1007/978-3-031-36021-3_15"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-031-36021-3_15","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-031-36021-3_15","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"book-chapter","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/A5042582888","display_name":"Vadim Lomshakov","orcid":"https://orcid.org/0000-0001-8991-9264"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Vadim Lomshakov","raw_affiliation_strings":["Huawei, St. Petersburg, Russia"],"affiliations":[{"raw_affiliation_string":"Huawei, St. Petersburg, Russia","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029904389","display_name":"Sergey V. Kovalchuk","orcid":"https://orcid.org/0000-0001-8828-4615"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sergey Kovalchuk","raw_affiliation_strings":["Huawei, St. Petersburg, Russia"],"affiliations":[{"raw_affiliation_string":"Huawei, St. Petersburg, Russia","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045620555","display_name":"M. O. Omelchenko","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Maxim Omelchenko","raw_affiliation_strings":["Huawei, St. Petersburg, Russia"],"affiliations":[{"raw_affiliation_string":"Huawei, St. Petersburg, Russia","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045523675","display_name":"Sergey Nikolenko","orcid":"https://orcid.org/0000-0001-7787-2251"},"institutions":[{"id":"https://openalex.org/I12003341","display_name":"National University of Science and Technology","ror":"https://ror.org/019vsm959","country_code":"RU","type":"education","lineage":["https://openalex.org/I12003341"]},{"id":"https://openalex.org/I2800906181","display_name":"St. Petersburg Department of Steklov Institute of Mathematics","ror":"https://ror.org/030h9s280","country_code":"RU","type":"facility","lineage":["https://openalex.org/I1313323035","https://openalex.org/I2800906181","https://openalex.org/I4210124601"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Sergey Nikolenko","raw_affiliation_strings":["AI Center, National University of Science and Technology MISIS, Moscow, Russia","St. Petersburg Department of the Steklov Institute of Mathematics, St. Petersburg, Russia"],"affiliations":[{"raw_affiliation_string":"AI Center, National University of Science and Technology MISIS, Moscow, Russia","institution_ids":["https://openalex.org/I12003341"]},{"raw_affiliation_string":"St. Petersburg Department of the Steklov Institute of Mathematics, St. Petersburg, Russia","institution_ids":["https://openalex.org/I2800906181"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102913643","display_name":"Artem Aliev","orcid":"https://orcid.org/0000-0001-7984-4721"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Artem Aliev","raw_affiliation_strings":["Huawei, St. Petersburg, Russia"],"affiliations":[{"raw_affiliation_string":"Huawei, St. Petersburg, Russia","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5042582888"],"corresponding_institution_ids":[],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":2.6662,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.90944832,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"171","last_page":"179"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9994999766349792,"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":0.9994999766349792,"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/T10260","display_name":"Software Engineering Research","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.993399977684021,"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/computer-science","display_name":"Computer science","score":0.8992048501968384},{"id":"https://openalex.org/keywords/question-answering","display_name":"Question answering","score":0.8372747898101807},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.7431004643440247},{"id":"https://openalex.org/keywords/language-model","display_name":"Language model","score":0.692266047000885},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.6640434861183167},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6227548718452454},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.604239284992218},{"id":"https://openalex.org/keywords/source-code","display_name":"Source code","score":0.5947248339653015},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5507378578186035},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5376786589622498},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5262474417686462},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.3589945137500763}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8992048501968384},{"id":"https://openalex.org/C44291984","wikidata":"https://www.wikidata.org/wiki/Q1074173","display_name":"Question answering","level":2,"score":0.8372747898101807},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.7431004643440247},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.692266047000885},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.6640434861183167},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6227548718452454},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.604239284992218},{"id":"https://openalex.org/C43126263","wikidata":"https://www.wikidata.org/wiki/Q128751","display_name":"Source code","level":2,"score":0.5947248339653015},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5507378578186035},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5376786589622498},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5262474417686462},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.3589945137500763},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-031-36021-3_15","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-031-36021-3_15","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.6200000047683716,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W2068903499","https://openalex.org/W2890867094","https://openalex.org/W2911293880","https://openalex.org/W2936695845","https://openalex.org/W2950599942","https://openalex.org/W2964315653","https://openalex.org/W2970198659","https://openalex.org/W3089307846","https://openalex.org/W3104907093","https://openalex.org/W3119492251","https://openalex.org/W3161457214","https://openalex.org/W3210129272","https://openalex.org/W3212496002","https://openalex.org/W4221141536","https://openalex.org/W4226287673","https://openalex.org/W4226485558","https://openalex.org/W4285108092","https://openalex.org/W4287761100","https://openalex.org/W4287869352","https://openalex.org/W4288055861","https://openalex.org/W4288116810","https://openalex.org/W4292779060","https://openalex.org/W4297926917","https://openalex.org/W4309700390","https://openalex.org/W6600050674","https://openalex.org/W6836479860"],"related_works":["https://openalex.org/W2384605597","https://openalex.org/W2378211422","https://openalex.org/W2745001401","https://openalex.org/W2387743295","https://openalex.org/W4321353415","https://openalex.org/W3204607391","https://openalex.org/W4249277012","https://openalex.org/W2964413124","https://openalex.org/W4388937922","https://openalex.org/W3113264705"],"abstract_inverted_index":null,"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2023,"cited_by_count":3}],"updated_date":"2026-01-21T23:30:37.877113","created_date":"2025-10-10T00:00:00"}