{"id":"https://openalex.org/W7128906880","doi":"https://doi.org/10.1145/3797483","title":"EditCoT: A Stepwise Chain-of-Thought Reasoning Framework for Multi-Intent Text Revision","display_name":"EditCoT: A Stepwise Chain-of-Thought Reasoning Framework for Multi-Intent Text Revision","publication_year":2026,"publication_date":"2026-02-14","ids":{"openalex":"https://openalex.org/W7128906880","doi":"https://doi.org/10.1145/3797483"},"language":"en","primary_location":{"id":"doi:10.1145/3797483","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3797483","pdf_url":null,"source":{"id":"https://openalex.org/S4306421405","display_name":"ACM Transactions on Asian and Low-Resource Language Information Processing","issn_l":"2375-4699","issn":["2375-4699","2375-4702"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Asian and Low-Resource Language Information Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1145/3797483","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5038591395","display_name":"X. Li","orcid":null},"institutions":[{"id":"https://openalex.org/I165745306","display_name":"Southwest Petroleum University","ror":"https://ror.org/03h17x602","country_code":"CN","type":"education","lineage":["https://openalex.org/I165745306"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xu Li","raw_affiliation_strings":["School of Computer Science and Software Engineering, Southwest Petroleum University"],"raw_orcid":"https://orcid.org/0000-0002-5725-2677","affiliations":[{"raw_affiliation_string":"School of Computer Science and Software Engineering, Southwest Petroleum University","institution_ids":["https://openalex.org/I165745306"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006624972","display_name":"Chengkun Wei","orcid":"https://orcid.org/0000-0001-8849-8808"},"institutions":[{"id":"https://openalex.org/I168879160","display_name":"Zhejiang University of Science and Technology","ror":"https://ror.org/05mx0wr29","country_code":"CN","type":"education","lineage":["https://openalex.org/I168879160"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chengkun Wei","raw_affiliation_strings":["College of Computer Science and Technology, Zhejiang University"],"raw_orcid":"https://orcid.org/0000-0001-8849-8808","affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Zhejiang University","institution_ids":["https://openalex.org/I168879160"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5123906545","display_name":"Wenzhi Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I168879160","display_name":"Zhejiang University of Science and Technology","ror":"https://ror.org/05mx0wr29","country_code":"CN","type":"education","lineage":["https://openalex.org/I168879160"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenzhi Chen","raw_affiliation_strings":["College of Computer Science and Technology, Zhejiang University"],"raw_orcid":"https://orcid.org/0000-0003-1674-4701","affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Zhejiang University","institution_ids":["https://openalex.org/I168879160"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5038591395"],"corresponding_institution_ids":["https://openalex.org/I165745306"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.23751891,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"25","issue":"3","first_page":"1","last_page":"25"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.41100001335144043,"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":0.41100001335144043,"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/T12377","display_name":"Digital Humanities and Scholarship","score":0.3443000018596649,"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/T13629","display_name":"Text Readability and Simplification","score":0.046300001442432404,"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/process","display_name":"Process (computing)","score":0.5540000200271606},{"id":"https://openalex.org/keywords/limiting","display_name":"Limiting","score":0.5389999747276306},{"id":"https://openalex.org/keywords/language-model","display_name":"Language model","score":0.41190001368522644},{"id":"https://openalex.org/keywords/transferability","display_name":"Transferability","score":0.4117000102996826},{"id":"https://openalex.org/keywords/text-generation","display_name":"Text generation","score":0.3068000078201294},{"id":"https://openalex.org/keywords/computational-linguistics","display_name":"Computational linguistics","score":0.2924000024795532},{"id":"https://openalex.org/keywords/structured-prediction","display_name":"Structured prediction","score":0.2858000099658966}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8169999718666077},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.574999988079071},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5734000205993652},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5540000200271606},{"id":"https://openalex.org/C188198153","wikidata":"https://www.wikidata.org/wiki/Q1613840","display_name":"Limiting","level":2,"score":0.5389999747276306},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.41190001368522644},{"id":"https://openalex.org/C61272859","wikidata":"https://www.wikidata.org/wiki/Q7834031","display_name":"Transferability","level":3,"score":0.4117000102996826},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.32749998569488525},{"id":"https://openalex.org/C2985684807","wikidata":"https://www.wikidata.org/wiki/Q1513879","display_name":"Text generation","level":2,"score":0.3068000078201294},{"id":"https://openalex.org/C155092808","wikidata":"https://www.wikidata.org/wiki/Q182557","display_name":"Computational linguistics","level":2,"score":0.2924000024795532},{"id":"https://openalex.org/C22367795","wikidata":"https://www.wikidata.org/wiki/Q7625208","display_name":"Structured prediction","level":2,"score":0.2858000099658966},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2732999920845032},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.26919999718666077},{"id":"https://openalex.org/C171686336","wikidata":"https://www.wikidata.org/wiki/Q3532085","display_name":"Topic model","level":2,"score":0.26739999651908875},{"id":"https://openalex.org/C2778012447","wikidata":"https://www.wikidata.org/wiki/Q1034415","display_name":"Scope (computer science)","level":2,"score":0.26489999890327454},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.25929999351501465},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.25870001316070557},{"id":"https://openalex.org/C44291984","wikidata":"https://www.wikidata.org/wiki/Q1074173","display_name":"Question answering","level":2,"score":0.25780001282691956}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3797483","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3797483","pdf_url":null,"source":{"id":"https://openalex.org/S4306421405","display_name":"ACM Transactions on Asian and Low-Resource Language Information Processing","issn_l":"2375-4699","issn":["2375-4699","2375-4702"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Asian and Low-Resource Language Information Processing","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1145/3797483","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3797483","pdf_url":null,"source":{"id":"https://openalex.org/S4306421405","display_name":"ACM Transactions on Asian and Low-Resource Language Information Processing","issn_l":"2375-4699","issn":["2375-4699","2375-4702"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Asian and Low-Resource Language Information Processing","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1996290308","https://openalex.org/W2001496424","https://openalex.org/W2171759076","https://openalex.org/W2534253848","https://openalex.org/W2739591798","https://openalex.org/W2758097047","https://openalex.org/W2979826702","https://openalex.org/W3033129824","https://openalex.org/W3037162118","https://openalex.org/W3099852471","https://openalex.org/W3153128515","https://openalex.org/W3164464178","https://openalex.org/W3169858337","https://openalex.org/W4285142661","https://openalex.org/W4285178342","https://openalex.org/W4385567241","https://openalex.org/W4385569882","https://openalex.org/W4385571452","https://openalex.org/W4385572068","https://openalex.org/W4385572845","https://openalex.org/W4385573568","https://openalex.org/W4387156890","https://openalex.org/W4402671211","https://openalex.org/W4402683949","https://openalex.org/W4402684020"],"related_works":[],"abstract_inverted_index":{"Text":[0],"revision":[1,38,86,124,208],"is":[2],"necessary":[3],"to":[4,20,33,48,55,171,201],"harness":[5],"the":[6,24,34,64,85,117,203],"written-text":[7],"following":[8],"human-acceptable":[9],"requirements.":[10],"Multi-intent":[11],"text":[12,37,80,96,123,189,207],"revision,":[13],"however,":[14],"requires":[15],"all":[16],"potential":[17],"textual":[18],"defects":[19],"be":[21],"addressed":[22],"in":[23,205],"same":[25],"computational":[26],"model,":[27],"which":[28],"poses":[29],"a":[30,75,94,112,134,140,152,193],"new":[31,172],"challenge":[32],"traditional":[35],"single-intent-based":[36],"modeling":[39,186],"approach.":[40],"Conventional":[41],"approaches":[42],"often":[43],"rely":[44],"on":[45,121],"models":[46],"tailored":[47],"specific":[49,95],"edit":[50,60,173],"intents,":[51],"limiting":[52],"their":[53],"ability":[54],"address":[56],"diverse":[57],"or":[58,165],"unseen":[59],"intents.":[61],"Inspired":[62],"by":[63,106],"reasoning":[65,90],"strengths":[66],"of":[67,119,137,142],"Large":[68],"Language":[69],"Models":[70],"(LLMs),":[71],"we":[72],"introduce":[73],"EditCoT,":[74,147],"novel":[76],"framework":[77,184],"for":[78,185],"multi-intent":[79,127,194],"revision.":[81],"EditCoT":[82,120,129,167],"breaks":[83],"down":[84],"process":[87],"into":[88],"sequential":[89],"steps,":[91],"each":[92],"targeting":[93],"defect.":[97],"The":[98],"structured":[99],"approach":[100],"can":[101],"enhance":[102],"LLMs\u2019":[103],"editing":[104,190],"capabilities":[105],"enabling":[107],"precise,":[108],"intent-specific":[109],"revisions":[110],"within":[111],"unified":[113],"model.":[114],"We":[115],"evaluate":[116],"effect":[118],"multi-/single-intent":[122],"tasks.":[125],"For":[126,144],"tasks,":[128,146,191],"achieves":[130],"state-of-the-art":[131],"results,":[132],"with":[133,149,156,163],"SARI":[135],"score":[136],"65.80":[138],"and":[139,187,196],"BERTScore":[141],"88.27.":[143],"single-intent":[145,199],"paired":[148],"GPT-o1,":[150],"presents":[151],"competitive":[153],"performance":[154],"compared":[155],"specifically":[157],"fine-tuned":[158],"models.":[159],"Furthermore,":[160],"when":[161],"combined":[162],"GPT-o1":[164],"DeepSeek,":[166],"demonstrates":[168],"impressive":[169],"transferability":[170],"intents":[174],"via":[175],"custom":[176],"edit-chains.":[177],"Overall,":[178],"this":[179],"study":[180],"offers":[181],"an":[182,197],"effective":[183],"resolving":[188],"contributing":[192],"dataset":[195,200],"augmented":[198],"support":[202],"community":[204],"advancing":[206],"research.":[209]},"counts_by_year":[],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2026-02-15T00:00:00"}
