{"id":"https://openalex.org/W4412944655","doi":"https://doi.org/10.18653/v1/2025.findings-acl.1232","title":"JsonTuning: Towards Generalizable, Robust, and Controllable Instruction Tuning","display_name":"JsonTuning: Towards Generalizable, Robust, and Controllable Instruction Tuning","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4412944655","doi":"https://doi.org/10.18653/v1/2025.findings-acl.1232"},"language":"en","primary_location":{"id":"doi:10.18653/v1/2025.findings-acl.1232","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2025.findings-acl.1232","pdf_url":"https://aclanthology.org/2025.findings-acl.1232.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":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://aclanthology.org/2025.findings-acl.1232.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101624693","display_name":"Chang Gao","orcid":"https://orcid.org/0000-0002-4150-6169"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chang Gao","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111246048","display_name":"Wenxuan Zhang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wenxuan Zhang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101648428","display_name":"Guizhen Chen","orcid":"https://orcid.org/0009-0004-5270-2730"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Guizhen Chen","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5018582154","display_name":"Wai Lam","orcid":"https://orcid.org/0000-0001-5479-377X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wai Lam","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.7588,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.87844938,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"24029","last_page":"24055"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11902","display_name":"Intelligent Tutoring Systems and Adaptive Learning","score":0.8242999911308289,"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/T11902","display_name":"Intelligent Tutoring Systems and Adaptive Learning","score":0.8242999911308289,"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":0.6211181879043579},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.4115429222583771},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.3351406455039978},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.24086666107177734},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.23546770215034485}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6211181879043579},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.4115429222583771},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.3351406455039978},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.24086666107177734},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.23546770215034485},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/2025.findings-acl.1232","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2025.findings-acl.1232","pdf_url":"https://aclanthology.org/2025.findings-acl.1232.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.1232","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2025.findings-acl.1232","pdf_url":"https://aclanthology.org/2025.findings-acl.1232.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":[{"id":"https://openalex.org/G1482925484","display_name":null,"funder_award_id":"Tier 1","funder_id":"https://openalex.org/F4320320751","funder_display_name":"Ministry of Education - Singapore"}],"funders":[{"id":"https://openalex.org/F4320320751","display_name":"Ministry of Education - Singapore","ror":"https://ror.org/01kcva023"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4412944655.pdf","grobid_xml":"https://content.openalex.org/works/W4412944655.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/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"Instruction":[0],"tuning":[1],"is":[2],"vital":[3],"for":[4,115],"enhancing":[5],"the":[6,107],"performance":[7],"of":[8,34,98,109,123],"large":[9],"language":[10,85],"models":[11,86],"(LLMs),":[12],"but":[13],"existing":[14],"text-to-text":[15],"methods,":[16],"referred":[17],"to":[18,31,47],"as":[19,25],"TextTuning,":[20,110],"struggle":[21],"with":[22],"issues":[23],"such":[24],"generalization,":[26],"robustness,":[27,100],"and":[28,57,65,81,87,101,119],"controllability":[29,67,102],"due":[30],"their":[32,58],"lack":[33],"explicit":[35],"task":[36,55],"structures.We":[37],"introduce":[38],"JsonTuning,":[39],"a":[40],"structure-to-structure":[41],"approach":[42],"that":[43,91],"uses":[44],"JSON":[45],"structures":[46],"represent":[48],"tasks.This":[49],"method":[50],"improves":[51],"generalization":[52],"by":[53,62,68],"clarifying":[54],"elements":[56],"relations,":[59],"boosts":[60],"robustness":[61],"minimizing":[63],"ambiguity,":[64],"enhances":[66],"allowing":[69],"precise":[70],"control":[71],"over":[72],"outputs.We":[73],"conduct":[74],"an":[75],"extensive":[76],"comparative":[77],"analysis":[78],"between":[79],"JsonTuning":[80,111],"TextTuning":[82,95],"using":[83],"various":[84],"benchmarks.Our":[88],"findings":[89],"reveal":[90],"Json-Tuning":[92],"consistently":[93],"surpasses":[94],"in":[96],"terms":[97],"performance,":[99],"across":[103],"different":[104],"scenarios.By":[105],"overcoming":[106],"limitations":[108],"demonstrates":[112],"significant":[113],"potential":[114],"developing":[116],"more":[117],"effective":[118],"reliable":[120],"LLMs":[121],"capable":[122],"handling":[124],"diverse":[125],"scenarios":[126],"1":[127],".":[128]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
