{"id":"https://openalex.org/W4416035869","doi":"https://doi.org/10.18653/v1/2025.findings-emnlp.118","title":"Bridging the Editing Gap in LLMs: FineEdit for Precise and Targeted Text Modifications","display_name":"Bridging the Editing Gap in LLMs: FineEdit for Precise and Targeted Text Modifications","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4416035869","doi":"https://doi.org/10.18653/v1/2025.findings-emnlp.118"},"language":null,"primary_location":{"id":"doi:10.18653/v1/2025.findings-emnlp.118","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2025.findings-emnlp.118","pdf_url":"https://aclanthology.org/2025.findings-emnlp.118.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":"Findings of the Association for Computational Linguistics: EMNLP 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.findings-emnlp.118.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5116337289","display_name":"Yiming Zeng","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yiming Zeng","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100782151","display_name":"Yu Wang","orcid":"https://orcid.org/0000-0003-1163-2284"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wanhao Yu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057519244","display_name":"Zheren Li","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zexin Li","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035191553","display_name":"Tao Ren","orcid":"https://orcid.org/0000-0003-0087-1730"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tao Ren","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013229709","display_name":"Yue Ma","orcid":"https://orcid.org/0000-0002-6107-4455"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yu Ma","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Jinghan Cao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jinghan Cao","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110446628","display_name":"Xiyan Chen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xiyan Chen","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5013072335","display_name":"T.X. Yu","orcid":"https://orcid.org/0009-0004-6001-9026"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tingting Yu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":11,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2193","last_page":"2206"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12377","display_name":"Digital Humanities and Scholarship","score":0.2134000062942505,"subfield":{"id":"https://openalex.org/subfields/1208","display_name":"Literature and Literary Theory"},"field":{"id":"https://openalex.org/fields/12","display_name":"Arts and Humanities"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T12377","display_name":"Digital Humanities and Scholarship","score":0.2134000062942505,"subfield":{"id":"https://openalex.org/subfields/1208","display_name":"Literature and Literary Theory"},"field":{"id":"https://openalex.org/fields/12","display_name":"Arts and Humanities"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11710","display_name":"Biomedical Text Mining and Ontologies","score":0.07580000162124634,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T13523","display_name":"Mathematics, Computing, and Information Processing","score":0.06889999657869339,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/bridging","display_name":"Bridging (networking)","score":0.78329998254776},{"id":"https://openalex.org/keywords/automation","display_name":"Automation","score":0.23479999601840973},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.22419999539852142},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.21240000426769257}],"concepts":[{"id":"https://openalex.org/C174348530","wikidata":"https://www.wikidata.org/wiki/Q188635","display_name":"Bridging (networking)","level":2,"score":0.78329998254776},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5889000296592712},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.29089999198913574},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.26019999384880066},{"id":"https://openalex.org/C115901376","wikidata":"https://www.wikidata.org/wiki/Q184199","display_name":"Automation","level":2,"score":0.23479999601840973},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.22599999606609344},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.22419999539852142},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.21770000457763672},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.21240000426769257},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.20520000159740448}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/2025.findings-emnlp.118","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2025.findings-emnlp.118","pdf_url":"https://aclanthology.org/2025.findings-emnlp.118.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":"Findings of the Association for Computational Linguistics: EMNLP 2025","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/2025.findings-emnlp.118","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2025.findings-emnlp.118","pdf_url":"https://aclanthology.org/2025.findings-emnlp.118.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":"Findings of the Association for Computational Linguistics: EMNLP 2025","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G7807652348","display_name":"Collaborative Research: SHF: Medium: Improving Software Quality by Automatically Reproducing Failures from Bug Reports","funder_award_id":"2403747","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4416035869.pdf","grobid_xml":"https://content.openalex.org/works/W4416035869.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Large":[0],"Language":[1],"Models":[2],"(LLMs)":[3],"have":[4],"significantly":[5],"advanced":[6],"natural":[7],"language":[8],"processing,":[9],"demonstrating":[10],"strong":[11],"capabilities":[12],"in":[13],"tasks":[14,29,82],"such":[15,33],"as":[16,34],"text":[17,27,110],"generation,":[18],"summarization,":[19],"and":[20,38,59,93,135,161],"reasoning.Recently,":[21],"their":[22],"potential":[23],"for":[24,107],"automating":[25],"precise":[26],"editing":[28,81,103,144,152],"across":[30],"specialized":[31,102],"domains,":[32,85],"programming":[35],"code,":[36,92],"LaTeX,":[37],"structured":[39,80],"database":[40,94],"languages,":[41],"has":[42],"gained":[43],"attention.However,":[44],"current":[45],"state-of-the-art":[46],"LLMs":[47],"still":[48],"struggle":[49],"with":[50],"executing":[51],"precise,":[52],"instructiondriven":[53],"edits,":[54,129],"particularly":[55],"when":[56],"structural":[57],"accuracy":[58],"strict":[60],"adherence":[61],"to":[62,131,149],"domain":[63],"conventions":[64],"are":[65],"required.To":[66],"address":[67],"these":[68],"challenges,":[69],"we":[70,98,163],"introduce":[71],"InstrEditBench,":[72],"an":[73],"automated":[74],"benchmark":[75],"dataset":[76],"comprising":[77],"over":[78,124,133,140],"30,000":[79],"spanning":[83],"diverse":[84],"including":[86],"Wikipedia":[87],"articles,":[88],"LaTeX":[89],"documents,":[90],"source":[91],"languages.Using":[95],"this":[96],"benchmark,":[97],"develop":[99],"FineEdit,":[100],"a":[101],"model":[104],"explicitly":[105],"trained":[106],"accurate,":[108],"context-aware":[109],"modifications.Experimental":[111],"evaluations":[112],"demonstrate":[113],"that":[114],"FineEdit":[115],"outperforms":[116],"stateof-the-art":[117],"models,":[118],"achieving":[119],"improvements":[120],"of":[121],"approximately":[122],"10%":[123],"Gemini":[125],"models":[126],"on":[127,142],"single-turn":[128],"up":[130],"30%":[132],"Llama-3.2-3B,":[134],"exceeding":[136],"Mistral-7B-OpenOrca":[137],"performance":[138],"by":[139],"40%":[141],"direct":[143],"tasks.FineEdit":[145],"also":[146],"effectively":[147],"generalizes":[148],"realistic":[150],"multi-turn":[151],"scenarios,":[153],"highlighting":[154],"its":[155],"practical":[156],"applicability.To":[157],"facilitate":[158],"further":[159],"research":[160],"reproducibility,":[162],"release":[164],"Fi-neEdit":[165],"at":[166],"https:/":[167]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":7}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-11-08T00:00:00"}
