{"id":"https://openalex.org/W4412889244","doi":"https://doi.org/10.18653/v1/2025.bea-1.38","title":"LLMs in alliance with Edit-based models: advancing In-Context Learning for Grammatical Error Correction by Specific Example Selection","display_name":"LLMs in alliance with Edit-based models: advancing In-Context Learning for Grammatical Error Correction by Specific Example Selection","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4412889244","doi":"https://doi.org/10.18653/v1/2025.bea-1.38"},"language":"en","primary_location":{"id":"doi:10.18653/v1/2025.bea-1.38","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2025.bea-1.38","pdf_url":"https://aclanthology.org/2025.bea-1.38.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 20th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2025)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://aclanthology.org/2025.bea-1.38.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5017553001","display_name":"Alexey Sorokin","orcid":"https://orcid.org/0000-0003-3877-4223"},"institutions":[{"id":"https://openalex.org/I4210164862","display_name":"Artificial Intelligence in Medicine (Canada)","ror":"https://ror.org/05p590m36","country_code":"CA","type":"company","lineage":["https://openalex.org/I4210164862"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Alexey Sorokin","raw_affiliation_strings":["MSU Institute for Artificial Intelligence Yandex MSU Institute for Artificial Intelligence"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"MSU Institute for Artificial Intelligence Yandex MSU Institute for Artificial Intelligence","institution_ids":["https://openalex.org/I4210164862"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5093945984","display_name":"Regina Nasyrova","orcid":"https://orcid.org/0009-0008-6280-0667"},"institutions":[{"id":"https://openalex.org/I4210164862","display_name":"Artificial Intelligence in Medicine (Canada)","ror":"https://ror.org/05p590m36","country_code":"CA","type":"company","lineage":["https://openalex.org/I4210164862"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Regina Nasyrova","raw_affiliation_strings":["MSU Institute for Artificial Intelligence Yandex MSU Institute for Artificial Intelligence"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"MSU Institute for Artificial Intelligence Yandex MSU Institute for Artificial Intelligence","institution_ids":["https://openalex.org/I4210164862"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210164862"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.14583614,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"517","last_page":"534"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.9958000183105469,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9958000183105469,"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":0.9884999990463257,"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/T12031","display_name":"Speech and dialogue systems","score":0.9596999883651733,"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/selection","display_name":"Selection (genetic algorithm)","score":0.6888068318367004},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6699479222297668},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6678228974342346},{"id":"https://openalex.org/keywords/alliance","display_name":"Alliance","score":0.6272517442703247},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5192130208015442},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4873245656490326},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3953682780265808},{"id":"https://openalex.org/keywords/political-science","display_name":"Political science","score":0.10727357864379883},{"id":"https://openalex.org/keywords/history","display_name":"History","score":0.09639555215835571}],"concepts":[{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.6888068318367004},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6699479222297668},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6678228974342346},{"id":"https://openalex.org/C2778431023","wikidata":"https://www.wikidata.org/wiki/Q878249","display_name":"Alliance","level":2,"score":0.6272517442703247},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5192130208015442},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4873245656490326},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3953682780265808},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.10727357864379883},{"id":"https://openalex.org/C95457728","wikidata":"https://www.wikidata.org/wiki/Q309","display_name":"History","level":0,"score":0.09639555215835571},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/2025.bea-1.38","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2025.bea-1.38","pdf_url":"https://aclanthology.org/2025.bea-1.38.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 20th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2025)","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/2025.bea-1.38","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2025.bea-1.38","pdf_url":"https://aclanthology.org/2025.bea-1.38.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 20th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2025)","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.6200000047683716}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4412889244.pdf","grobid_xml":"https://content.openalex.org/works/W4412889244.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2096976397","https://openalex.org/W3125302265","https://openalex.org/W4242931393","https://openalex.org/W2114295463","https://openalex.org/W3124763745","https://openalex.org/W2355569436","https://openalex.org/W369672418","https://openalex.org/W2130068615","https://openalex.org/W1486494288","https://openalex.org/W2381872080"],"abstract_inverted_index":{"We":[0],"show":[1],"that":[2],"fewshot":[3,88],"Grammatical":[4],"Error":[5],"Correction":[6],"might":[7],"be":[8],"improved":[9],"by":[10,91],"using":[11],"an":[12],"encoderbased":[13],"sequence":[14],"labeling":[15],"model,":[16,118],"such":[17],"as":[18],"GEC-TOR,":[19],"to":[20,48,85],"select":[21],"similar":[22],"examples.We":[23],"demonstrate":[24],"this":[25],"on":[26,52,97],"three":[27],"Russian":[28],"GEC":[29],"corpora":[30],"and":[31,45,61,65,75],"English":[32],"BEA":[33],"corpus.The":[34],"effect":[35],"is":[36,56,70,76],"the":[37,41,53],"most":[38],"significant":[39],"for":[40,72,102],"new":[42],"LORuGEC":[43],"corpus":[44,55,69],"reaches":[46],"up":[47],"5-10%":[49],"F0.5-score":[50,120],"depending":[51],"model.The":[54],"released":[57],"in":[58],"our":[59],"paper":[60],"contains":[62],"348":[63],"train":[64],"612":[66],"test":[67],"examples.The":[68],"designed":[71],"diagnostic":[73],"purposes":[74],"also":[77],"equipped":[78],"with":[79,114],"writing":[80],"rules'":[81],"annotations.These":[82],"annotations":[83],"allow":[84],"further":[86],"improve":[87],"error":[89],"correction":[90],"contrastive":[92],"tuning":[93],"of":[94,106,121],"GECTOR-like":[95],"encoder":[96],"rule":[98],"classification":[99],"task.This":[100],"holds":[101],"a":[103],"broad":[104],"class":[105],"large":[107],"language":[108],"models.The":[109],"best":[110],"results":[111],"are":[112],"obtained":[113],"5-shot":[115],"YandexGPT-5":[116],"Pro":[117],"achieving":[119],"83%.":[122]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}