{"id":"https://openalex.org/W4412944537","doi":"https://doi.org/10.18653/v1/2025.findings-acl.1347","title":"PLAY2PROMPT: Zero-shot Tool Instruction Optimization for LLM Agents via Tool Play","display_name":"PLAY2PROMPT: Zero-shot Tool Instruction Optimization for LLM Agents via Tool Play","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4412944537","doi":"https://doi.org/10.18653/v1/2025.findings-acl.1347"},"language":"en","primary_location":{"id":"doi:10.18653/v1/2025.findings-acl.1347","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2025.findings-acl.1347","pdf_url":"https://aclanthology.org/2025.findings-acl.1347.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: ACL 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-acl.1347.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101752911","display_name":"Fang Wei","orcid":"https://orcid.org/0000-0002-5243-4682"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wei Fang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007377566","display_name":"Yang Zhang","orcid":"https://orcid.org/0000-0001-7070-081X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yang Zhang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030425371","display_name":"Kaizhi Qian","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kaizhi Qian","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112758056","display_name":"James Glass","orcid":"https://orcid.org/0000-0002-3097-360X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"James R. Glass","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":null,"display_name":"Yada Zhu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yada Zhu","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":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"26274","last_page":"26290"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10456","display_name":"Multi-Agent Systems and Negotiation","score":0.974399983882904,"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/T10456","display_name":"Multi-Agent Systems and Negotiation","score":0.974399983882904,"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/T11195","display_name":"Simulation Techniques and Applications","score":0.9405999779701233,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"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/T10703","display_name":"Business Process Modeling and Analysis","score":0.9326000213623047,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6877592206001282},{"id":"https://openalex.org/keywords/shot","display_name":"Shot (pellet)","score":0.6333247423171997},{"id":"https://openalex.org/keywords/zero","display_name":"Zero (linguistics)","score":0.5953243970870972},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.07575201988220215}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6877592206001282},{"id":"https://openalex.org/C2778344882","wikidata":"https://www.wikidata.org/wiki/Q278938","display_name":"Shot (pellet)","level":2,"score":0.6333247423171997},{"id":"https://openalex.org/C2780813799","wikidata":"https://www.wikidata.org/wiki/Q3274237","display_name":"Zero (linguistics)","level":2,"score":0.5953243970870972},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.07575201988220215},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C191897082","wikidata":"https://www.wikidata.org/wiki/Q11467","display_name":"Metallurgy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/2025.findings-acl.1347","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2025.findings-acl.1347","pdf_url":"https://aclanthology.org/2025.findings-acl.1347.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: ACL 2025","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/2025.findings-acl.1347","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2025.findings-acl.1347","pdf_url":"https://aclanthology.org/2025.findings-acl.1347.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: ACL 2025","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321920","display_name":"Innovation and Technology Commission","ror":"https://ror.org/04vf9tr09"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4412944537.pdf","grobid_xml":"https://content.openalex.org/works/W4412944537.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2074502265","https://openalex.org/W4214877189","https://openalex.org/W2773965352","https://openalex.org/W2381179799","https://openalex.org/W4411535265","https://openalex.org/W2980279061","https://openalex.org/W2334685461"],"abstract_inverted_index":{"Large":[0],"language":[1],"models":[2],"(LLMs)":[3],"are":[4],"increasingly":[5],"integrated":[6],"with":[7,18,52],"specialized":[8],"external":[9],"tools,":[10],"yet":[11],"many":[12],"tasks":[13,95],"demand":[14],"zero-shot":[15,38],"tool":[16,54,66,90,102,118],"usage":[17,70],"minimal":[19],"or":[20,28],"noisy":[21],"documentation.Existing":[22],"solutions":[23],"rely":[24],"on":[25,93],"manual":[26],"rewriting":[27],"labeled":[29,74],"data":[30],"for":[31,116],"validation,":[32],"making":[33],"them":[34],"inapplicable":[35],"in":[36],"true":[37],"settings.To":[39],"address":[40],"these":[41],"challenges,":[42],"we":[43],"propose":[44],"PLAY2PROMPT,":[45],"an":[46],"automated":[47],"framework":[48],"that":[49,97],"systematically":[50],"\"plays\"":[51],"each":[53],"to":[55,87],"explore":[56],"its":[57],"input-output":[58],"behaviors.Through":[59],"this":[60],"iterative":[61],"trial-and-error":[62],"process,":[63],"PLAY2PROMPT":[64,98],"refines":[65],"documentation":[67],"and":[68,107,113],"generates":[69],"examples":[71,76],"without":[72],"any":[73],"data.These":[75],"not":[77],"only":[78],"guide":[79],"LLM":[80],"inference":[81],"but":[82],"also":[83],"serve":[84],"as":[85],"validation":[86],"further":[88],"enhance":[89],"utilization.Extensive":[91],"experiments":[92],"real-world":[94],"demonstrate":[96],"significantly":[99],"improves":[100],"zeroshot":[101],"performance":[103],"across":[104],"both":[105],"open":[106],"closed":[108],"models,":[109],"offering":[110],"a":[111],"scalable":[112],"effective":[114],"solution":[115],"domain-specific":[117],"integration":[119],"1":[120],".":[121]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
