{"id":"https://openalex.org/W4392490023","doi":"https://doi.org/10.48550/arxiv.2403.00839","title":"ToolNet: Connecting Large Language Models with Massive Tools via Tool Graph","display_name":"ToolNet: Connecting Large Language Models with Massive Tools via Tool Graph","publication_year":2024,"publication_date":"2024-02-29","ids":{"openalex":"https://openalex.org/W4392490023","doi":"https://doi.org/10.48550/arxiv.2403.00839"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2403.00839","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2403.00839","pdf_url":"https://arxiv.org/pdf/2403.00839","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":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":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"type":"preprint","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2403.00839","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5113373185","display_name":"Xukun Liu","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Liu, Xukun","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101313497","display_name":"Zhiyuan Peng","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Peng, Zhiyuan","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5104318678","display_name":"Xiaoyuan Yi","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yi, Xiaoyuan","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100723568","display_name":"Xing Xie","orcid":"https://orcid.org/0000-0002-1636-4816"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xie, Xing","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113134778","display_name":"Lirong Xiang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xiang, Lirong","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100373068","display_name":"Yuchen Liu","orcid":"https://orcid.org/0009-0004-0955-5624"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liu, Yuchen","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5068433690","display_name":"Dongkuan Xu","orcid":"https://orcid.org/0000-0002-1456-9658"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xu, Dongkuan","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5113373185"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10215","display_name":"Semantic Web and Ontologies","score":0.986299991607666,"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/T10215","display_name":"Semantic Web and Ontologies","score":0.986299991607666,"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/T10028","display_name":"Topic Modeling","score":0.9819999933242798,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9635000228881836,"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/computer-science","display_name":"Computer science","score":0.6326591968536377},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5163308382034302},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.4278397560119629},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.2725188732147217}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6326591968536377},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5163308382034302},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.4278397560119629},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.2725188732147217}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2403.00839","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2403.00839","pdf_url":"https://arxiv.org/pdf/2403.00839","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":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":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"doi:10.48550/arxiv.2403.00839","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2403.00839","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":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":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2403.00839","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2403.00839","pdf_url":"https://arxiv.org/pdf/2403.00839","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":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":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W2382290278","https://openalex.org/W2478288626","https://openalex.org/W4391913857","https://openalex.org/W2350741829","https://openalex.org/W2530322880"],"abstract_inverted_index":{"While":[0],"achieving":[1],"remarkable":[2],"progress":[3],"in":[4,17,127,157,183],"a":[5,31,46,58,77,93,99,111,124,134,140],"broad":[6],"range":[7],"of":[8,33,48,80,95,119],"tasks,":[9],"large":[10],"language":[11],"models":[12],"(LLMs)":[13],"remain":[14],"significantly":[15],"limited":[16,78],"properly":[18],"using":[19],"massive":[20,96],"external":[21],"tools.":[22,83],"Existing":[23],"in-context":[24],"learning":[25,187],"approaches":[26],"simply":[27],"format":[28],"tools":[29,65,120,132],"into":[30,133],"list":[32],"plain":[34],"text":[35],"descriptions":[36],"and":[37,66,142,189],"input":[38],"them":[39,74],"to":[40,51,71,76,90,121,192],"LLMs,":[41,72],"from":[42,149,166],"which,":[43],"LLMs":[44,89],"generate":[45],"sequence":[47],"tool":[49,146,152,186,193],"calls":[50],"solve":[52],"problems":[53],"step":[54],"by":[55,160],"step.":[56],"Such":[57],"paradigm":[59],"ignores":[60],"the":[61,117,158,163,170],"intrinsic":[62],"dependency":[63],"between":[64],"offloads":[67],"all":[68],"reasoning":[69],"loads":[70],"making":[73],"restricted":[75],"number":[79,118],"specifically":[81],"designed":[82],"It":[84],"thus":[85],"remains":[86],"challenging":[87,184],"for":[88],"operate":[91],"on":[92],"library":[94],"tools,":[97],"casting":[98],"great":[100],"limitation":[101],"when":[102],"confronted":[103],"with":[104,123],"real-world":[105],"scenarios.":[106],"This":[107],"paper":[108],"proposes":[109],"ToolNet,":[110],"plug-and-play":[112],"framework":[113],"that":[114,177],"scales":[115],"up":[116],"thousands":[122],"moderate":[125],"increase":[126],"token":[128],"consumption.":[129],"ToolNet":[130,178],"organizes":[131],"directed":[135],"graph.":[136],"Each":[137],"node":[138],"represents":[139],"tool,":[141],"weighted":[143],"edges":[144],"denote":[145],"transition.":[147],"Starting":[148],"an":[150,154],"initial":[151],"node,":[153],"LLM":[155],"navigates":[156],"graph":[159],"iteratively":[161],"choosing":[162],"next":[164],"one":[165],"its":[167],"successors":[168],"until":[169],"task":[171],"is":[172,190],"resolved.":[173],"Extensive":[174],"experiments":[175],"show":[176],"can":[179],"achieve":[180],"impressive":[181],"results":[182],"multi-hop":[185],"datasets":[188],"resilient":[191],"failures.":[194]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1}],"updated_date":"2026-02-09T09:26:11.010843","created_date":"2024-03-06T00:00:00"}
