{"id":"https://openalex.org/W4412886728","doi":"https://doi.org/10.18653/v1/2025.acl-long.243","title":"Learning to Generate Structured Output with Schema Reinforcement Learning","display_name":"Learning to Generate Structured Output with Schema Reinforcement Learning","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4412886728","doi":"https://doi.org/10.18653/v1/2025.acl-long.243"},"language":"en","primary_location":{"id":"doi:10.18653/v1/2025.acl-long.243","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2025.acl-long.243","pdf_url":"https://aclanthology.org/2025.acl-long.243.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":"Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://aclanthology.org/2025.acl-long.243.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5060320299","display_name":"Yue Lu","orcid":"https://orcid.org/0000-0001-9111-5943"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yaxi Lu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115588132","display_name":"H. Li","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Haolun Li","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100546036","display_name":"Xin Cong","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xin Cong","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100350965","display_name":"Zhong Zhang","orcid":"https://orcid.org/0000-0002-2993-8612"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhong Zhang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111363100","display_name":"Yesai Wu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yesai Wu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043098453","display_name":"Yankai Lin","orcid":"https://orcid.org/0000-0002-0151-6178"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yankai Lin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100320723","display_name":"Zhiyuan Liu","orcid":"https://orcid.org/0000-0002-7709-2543"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhiyuan Liu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048398271","display_name":"Fangming Liu","orcid":"https://orcid.org/0000-0002-8570-1345"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Fangming Liu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5046448314","display_name":"Maosong Sun","orcid":"https://orcid.org/0000-0002-6011-6115"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Maosong Sun","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":13,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"4905","last_page":"4918"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10462","display_name":"Reinforcement Learning in Robotics","score":0.3921000063419342,"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/T10462","display_name":"Reinforcement Learning in Robotics","score":0.3921000063419342,"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/reinforcement-learning","display_name":"Reinforcement learning","score":0.7617331147193909},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7096123695373535},{"id":"https://openalex.org/keywords/schema","display_name":"Schema (genetic algorithms)","score":0.6018984317779541},{"id":"https://openalex.org/keywords/error-driven-learning","display_name":"Error-driven learning","score":0.47830015420913696},{"id":"https://openalex.org/keywords/reinforcement","display_name":"Reinforcement","score":0.45827436447143555},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4365343153476715},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.27836257219314575},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.11619001626968384},{"id":"https://openalex.org/keywords/structural-engineering","display_name":"Structural engineering","score":0.06561857461929321}],"concepts":[{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.7617331147193909},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7096123695373535},{"id":"https://openalex.org/C52146309","wikidata":"https://www.wikidata.org/wiki/Q7431116","display_name":"Schema (genetic algorithms)","level":2,"score":0.6018984317779541},{"id":"https://openalex.org/C47932503","wikidata":"https://www.wikidata.org/wiki/Q5395689","display_name":"Error-driven learning","level":3,"score":0.47830015420913696},{"id":"https://openalex.org/C67203356","wikidata":"https://www.wikidata.org/wiki/Q1321905","display_name":"Reinforcement","level":2,"score":0.45827436447143555},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4365343153476715},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.27836257219314575},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.11619001626968384},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.06561857461929321}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/2025.acl-long.243","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2025.acl-long.243","pdf_url":"https://aclanthology.org/2025.acl-long.243.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":"Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/2025.acl-long.243","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2025.acl-long.243","pdf_url":"https://aclanthology.org/2025.acl-long.243.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":"Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4412886728.pdf","grobid_xml":"https://content.openalex.org/works/W4412886728.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2371091044","https://openalex.org/W2171010636","https://openalex.org/W87513465","https://openalex.org/W2786230833","https://openalex.org/W1966803121","https://openalex.org/W2391666574","https://openalex.org/W3203256658","https://openalex.org/W2352650970","https://openalex.org/W1544514152","https://openalex.org/W1493952344"],"abstract_inverted_index":{"Yaxi":[0],"Lu,":[1],"Haolun":[2],"Li,":[3],"Xin":[4],"Cong,":[5],"Zhong":[6],"Zhang,":[7],"Yesai":[8],"Wu,":[9],"Yankai":[10],"Lin,":[11],"Zhiyuan":[12],"Liu,":[13,15],"Fangming":[14],"Maosong":[16],"Sun.":[17],"Proceedings":[18],"of":[19,24],"the":[20,25],"63rd":[21],"Annual":[22],"Meeting":[23],"Association":[26],"for":[27],"Computational":[28],"Linguistics":[29],"(Volume":[30],"1:":[31],"Long":[32],"Papers).":[33],"2025.":[34]},"counts_by_year":[{"year":2026,"cited_by_count":12},{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-17T09:13:05.818461","created_date":"2025-10-10T00:00:00"}