{"id":"https://openalex.org/W4416033942","doi":"https://doi.org/10.18653/v1/2025.findings-emnlp.1297","title":"EoT: Evolution of Thoughts for Complex Reasoning Tasks","display_name":"EoT: Evolution of Thoughts for Complex Reasoning Tasks","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4416033942","doi":"https://doi.org/10.18653/v1/2025.findings-emnlp.1297"},"language":null,"primary_location":{"id":"doi:10.18653/v1/2025.findings-emnlp.1297","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2025.findings-emnlp.1297","pdf_url":"https://aclanthology.org/2025.findings-emnlp.1297.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.1297.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5038446514","display_name":"Hua Qin","orcid":"https://orcid.org/0000-0002-4056-7154"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Qin Hua","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100638207","display_name":"Jiaqi Sun","orcid":"https://orcid.org/0009-0004-8165-5478"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jiaqi Sun","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041333646","display_name":"Shiyou Qian","orcid":"https://orcid.org/0000-0001-7775-1740"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shiyou Qian","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030881704","display_name":"Dingyu Yang","orcid":"https://orcid.org/0000-0002-8156-3926"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dingyu Yang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111720561","display_name":"Jian Cao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jian Cao","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5101490654","display_name":"Guangtao Xue","orcid":"https://orcid.org/0000-0002-1617-3593"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Guangtao Xue","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":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.29679496,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"23864","last_page":"23886"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10906","display_name":"AI-based Problem Solving and Planning","score":0.11299999803304672,"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/T10906","display_name":"AI-based Problem Solving and Planning","score":0.11299999803304672,"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/T11010","display_name":"Logic, Reasoning, and Knowledge","score":0.09719999879598618,"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/T10656","display_name":"Child and Animal Learning Development","score":0.0723000019788742,"subfield":{"id":"https://openalex.org/subfields/3204","display_name":"Developmental and Educational Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.2946000099182129},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.2921999990940094},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.257999986410141},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.23739999532699585}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5274999737739563},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4115000069141388},{"id":"https://openalex.org/C188147891","wikidata":"https://www.wikidata.org/wiki/Q147638","display_name":"Cognitive science","level":1,"score":0.3619999885559082},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.3497999906539917},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.2946000099182129},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.2921999990940094},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.26919999718666077},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.257999986410141},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.24969999492168427},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.23739999532699585}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/2025.findings-emnlp.1297","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2025.findings-emnlp.1297","pdf_url":"https://aclanthology.org/2025.findings-emnlp.1297.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.1297","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2025.findings-emnlp.1297","pdf_url":"https://aclanthology.org/2025.findings-emnlp.1297.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/G8625111089","display_name":null,"funder_award_id":"22DZ1100103","funder_id":"https://openalex.org/F4320321885","funder_display_name":"Science and Technology Commission of Shanghai Municipality"}],"funders":[{"id":"https://openalex.org/F4320321885","display_name":"Science and Technology Commission of Shanghai Municipality","ror":"https://ror.org/03kt66j61"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4416033942.pdf","grobid_xml":"https://content.openalex.org/works/W4416033942.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Knowledge-based":[0],"complex":[1,146],"reasoning":[2,30,89,134,155,166],"remains":[3],"a":[4,92,97,127,138],"significant":[5],"challenge":[6],"for":[7,50,144],"large":[8],"language":[9],"models":[10],"(LLMs)":[11],"with":[12],"in-context":[13],"learning.To":[14],"tackle":[15],"this":[16],"issue,":[17],"previous":[18],"studies":[19,39],"focus":[20],"on":[21,45],"ensuring":[22],"behavior":[23,123],"fidelity,":[24,81],"factuality,":[25,80],"or":[26],"reliability":[27,83],"in":[28,87,137],"generated":[29],"processes":[31,156],"that":[32,101],"guide":[33],"LLMs":[34],"to":[35,104,112,131],"produce":[36],"solutions.However,":[37],"these":[38,47],"often":[40],"neglect":[41],"the":[42,56,63,71,79,88,150],"simultaneous":[43],"optimization":[44],"all":[46],"three":[48,110],"aspects":[49],"each":[51,85,114,133],"thought.The":[52],"main":[53],"challenges":[54],"are":[55],"lack":[57],"of":[58,65,73,84,154],"comprehensive":[59],"assessment":[60,99],"mechanisms":[61],"and":[62,82,106,122,152,160],"difficulty":[64],"efficient":[66],"thought-level":[67],"optimization.This":[68],"paper":[69],"introduces":[70],"Evolution":[72],"Thoughts":[74],"(EoT)":[75],"framework,":[76],"which":[77],"enhances":[78],"thought":[86,98,115],"process":[90,135],"through":[91],"few":[93],"LLM":[94,107,165],"inferences.We":[95],"propose":[96],"method":[100],"is":[102],"sensitive":[103],"knowledge":[105],"behaviors,":[108],"using":[109],"scorers":[111],"evaluate":[113],"by":[116,157,168],"considering":[117],"domain":[118],"context,":[119],"semantic":[120],"alignment,":[121],"impact.Additionally,":[124],"we":[125],"establish":[126],"self-reflective":[128],"evolution":[129],"mechanism":[130],"facilitate":[132],"generation":[136],"single-forward":[139],"inference.Extensive":[140],"experiments":[141],"demonstrate":[142],"that,":[143],"knowledge-based":[145],"tasks,":[147],"EoT":[148],"improves":[149],"factuality":[151],"fidelity":[153],"approximately":[158],"16.5%":[159],"48.8%,":[161],"respectively,":[162],"while":[163],"enhancing":[164],"capability":[167],"about":[169],"6.2%,":[170],"outperforming":[171],"advanced":[172],"approaches.":[173]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-11-08T00:00:00"}