{"id":"https://openalex.org/W4402346081","doi":"https://doi.org/10.48550/arxiv.2407.12821","title":"AutoFlow: Automated Workflow Generation for Large Language Model Agents","display_name":"AutoFlow: Automated Workflow Generation for Large Language Model Agents","publication_year":2024,"publication_date":"2024-07-01","ids":{"openalex":"https://openalex.org/W4402346081","doi":"https://doi.org/10.48550/arxiv.2407.12821"},"language":"en","primary_location":{"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2407.12821","pdf_url":"http://arxiv.org/pdf/2407.12821","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_indexed_in_scopus":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":["Cornell University"],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false},"type":"preprint","type_crossref":"posted-content","indexed_in":["arxiv"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://arxiv.org/pdf/2407.12821","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100685181","display_name":"Zelong Li","orcid":"https://orcid.org/0000-0002-3110-4481"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Zelong","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040605157","display_name":"Shuyuan Xu","orcid":"https://orcid.org/0000-0003-0865-5223"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xu, Shuyuan","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100929110","display_name":"Kai Mei","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mei, Kai","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042013742","display_name":"Wenyue Hua","orcid":"https://orcid.org/0009-0008-2043-2704"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hua, Wenyue","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113373219","display_name":"Balaji Rama","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Rama, Balaji","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5107077691","display_name":"Om Raheja","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Raheja, Om","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114377976","display_name":"Hao Wang","orcid":"https://orcid.org/0000-0001-5182-7938"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Hao","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100764754","display_name":"He Zhu","orcid":"https://orcid.org/0000-0003-1503-6076"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhu, He","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5100329828","display_name":"Yongfeng Zhang","orcid":"https://orcid.org/0000-0003-2633-8555"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Yongfeng","raw_affiliation_strings":[],"affiliations":[]}],"institution_assertions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":0,"max":80},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10703","display_name":"Business Process Modeling and Analysis","score":0.9845,"subfield":{"id":"https://openalex.org/subfields/1404","display_name":"Management Information Systems"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10703","display_name":"Business Process Modeling and Analysis","score":0.9845,"subfield":{"id":"https://openalex.org/subfields/1404","display_name":"Management Information Systems"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11986","display_name":"Scientific Computing and Data Management","score":0.9706,"subfield":{"id":"https://openalex.org/subfields/1802","display_name":"Information Systems and Management"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10215","display_name":"Semantic Web and Ontologies","score":0.9332,"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":[],"concepts":[{"id":"https://openalex.org/C177212765","wikidata":"https://www.wikidata.org/wiki/Q627335","display_name":"Workflow","level":2,"score":0.74831635},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.56626123},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.3782007},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.3558326},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.22972819}],"mesh":[],"locations_count":1,"locations":[{"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2407.12821","pdf_url":"http://arxiv.org/pdf/2407.12821","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_indexed_in_scopus":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":["Cornell University"],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false}],"best_oa_location":{"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2407.12821","pdf_url":"http://arxiv.org/pdf/2407.12821","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_indexed_in_scopus":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":["Cornell University"],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false},"sustainable_development_goals":[],"grants":[],"datasets":[],"versions":[],"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W45233828","https://openalex.org/W4391375266","https://openalex.org/W4255934811","https://openalex.org/W2964988449","https://openalex.org/W2748952813","https://openalex.org/W2465382974","https://openalex.org/W2397952901","https://openalex.org/W2182707996","https://openalex.org/W2029380707","https://openalex.org/W1981780420"],"abstract_inverted_index":{"Recent":[0],"advancements":[1],"in":[2,11,179],"Large":[3],"Language":[4],"Models":[5],"(LLMs)":[6],"have":[7],"shown":[8],"significant":[9],"progress":[10],"understanding":[12],"complex":[13,108,188],"natural":[14,112,180],"language.":[15],"One":[16],"important":[17],"application":[18],"of":[19,29,66,118,177,195,200],"LLM":[20,30,42],"is":[21,203],"LLM-based":[22],"AI":[23],"Agent,":[24],"which":[25],"leverages":[26],"the":[27,52,63,71,116,130,146,172,192],"ability":[28],"as":[31,33,115],"well":[32],"external":[34],"tools":[35],"for":[36,104,186],"complex-task":[37],"solving.":[38],"To":[39,90],"make":[40],"sure":[41],"Agents":[43],"follow":[44],"an":[45],"effective":[46],"and":[47,76,84,121,142,153,165,175],"reliable":[48,166],"procedure":[49,126],"to":[50,61,82,100,106,127,150],"solve":[51,107],"given":[53],"task,":[54],"manually":[55,69],"designed":[56,99],"workflows":[57,72,103,178],"are":[58],"usually":[59],"used":[60],"guide":[62],"working":[64],"mechanism":[65],"agents.":[67],"However,":[68],"designing":[70],"requires":[73],"considerable":[74],"efforts":[75],"domain":[77],"knowledge,":[78],"making":[79,145],"it":[80],"difficult":[81],"develop":[83],"deploy":[85],"agents":[86,105],"on":[87],"massive":[88],"scales.":[89],"address":[91],"these":[92],"issues,":[93],"we":[94],"propose":[95],"AutoFlow,":[96],"a":[97,123,183],"framework":[98,148,161],"automatically":[101],"generate":[102],"tasks.":[109],"AutoFlow":[110,147],"takes":[111],"language":[113,181],"program":[114],"format":[117],"agent":[119,167],"workflow":[120,124,131,138],"employs":[122],"optimization":[125],"iteratively":[128],"optimize":[129],"quality.":[132],"Besides,":[133],"this":[134,201],"work":[135,202],"offers":[136],"two":[137],"generation":[139,174],"methods:":[140],"fine-tuning-based":[141],"in-context-based":[143],"methods,":[144],"applicable":[149],"both":[151],"open-source":[152],"closed-source":[154],"LLMs.":[155,196],"Experimental":[156],"results":[157],"show":[158],"that":[159,171],"our":[160],"can":[162],"produce":[163],"robust":[164],"workflows.":[168],"We":[169],"believe":[170],"automatic":[173],"interpretation":[176],"represent":[182],"promising":[184],"paradigm":[185],"solving":[187],"tasks,":[189],"particularly":[190],"with":[191],"rapid":[193],"development":[194],"The":[197],"source":[198],"code":[199],"available":[204],"at":[205],"https://github.com/agiresearch/AutoFlow.":[206]},"abstract_inverted_index_v3":null,"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W4402346081","counts_by_year":[],"updated_date":"2025-03-01T12:27:21.272990","created_date":"2024-09-09"}