{"id":"https://openalex.org/W7220714925","doi":"https://doi.org/10.48550/arxiv.2610.06347","title":"ImproveAnyTask: An Autonomous Post-Training Harness for Iterative Model Self-Improvement","display_name":"ImproveAnyTask: An Autonomous Post-Training Harness for Iterative Model Self-Improvement","publication_year":2026,"publication_date":"2026-10-05","ids":{"openalex":"https://openalex.org/W7220714925","doi":"https://doi.org/10.48550/arxiv.2610.06347"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2610.06347","doi":null,"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2610.06347","pdf_url":"https://arxiv.org/pdf/2610.06347","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":null,"raw_type":"text"},"volume":null,"type":"preprint","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2610.06347","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5122927567","display_name":"Xingbo Yao","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Yao, Xingbo","raw_affiliation_strings":["NTU"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NTU","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5157682779","display_name":"Xiaoman Wang","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Wang, Xiaoman","raw_affiliation_strings":["NTU"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NTU","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035712150","display_name":"Zhengwu Lei","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Lei, Zhengwu","raw_affiliation_strings":["NTU"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NTU","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5157779932","display_name":"Tinghui Luo","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Luo, Tinghui","raw_affiliation_strings":["NTU"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NTU","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5157780415","display_name":"YiLin Zhang","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Zhang, YiLin","raw_affiliation_strings":["NTU"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NTU","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5157657964","display_name":"Yuefeng Wu","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Wu, Yuefeng","raw_affiliation_strings":["NTU"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NTU","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5157744811","display_name":"Yijie Xu","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Xu, Yijie","raw_affiliation_strings":["NTU"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NTU","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5157712165","display_name":"Tianfu Wang","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Wang, Tianfu","raw_affiliation_strings":["NTU"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NTU","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5157662725","display_name":"Qingyuan Zhan","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Zhan, Qingyuan","raw_affiliation_strings":["NTU"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NTU","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5157746140","display_name":"Ye Guo","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Guo, Ye","raw_affiliation_strings":["NTU"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NTU","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5137065651","display_name":"Daoxin Zhang","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Zhang, Daoxin","raw_affiliation_strings":["NTU"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NTU","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5157707630","display_name":"Zhe Xu","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Xu, Zhe","raw_affiliation_strings":["NTU"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NTU","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5157715508","display_name":"Jian Liu","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Liu, Jian","raw_affiliation_strings":["NTU"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NTU","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101862104","display_name":"Hui Xiong","orcid":"https://orcid.org/0000-0001-6016-6465","observed_orcids":["https://orcid.org/0000-0001-6016-6465","https://orcid.org/0000-0002-4665-9850","https://orcid.org/0000-0001-5759-3001"]},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Xiong, Hui","raw_affiliation_strings":["NTU"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NTU","institution_ids":["https://openalex.org/I172675005"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I172675005"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":0,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.4731000065803528,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.4731000065803528,"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":0.4699999988079071,"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":0.01209999993443489,"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/post-training-adaptation","display_name":"post-training adaptation","score":0.6899999976158142},{"id":"https://openalex.org/keywords/large-language-models","display_name":"large language models","score":0.8109999895095825},{"id":"https://openalex.org/keywords/error-attribution","display_name":"error attribution","score":0.8059999942779541},{"id":"https://openalex.org/keywords/task-specific-fine-tuning","display_name":"task-specific fine-tuning","score":0.609000027179718}],"concepts":[{"id":"https://openalex.org/C160145156","wikidata":"https://www.wikidata.org/wiki/Q778586","display_name":"Executable","level":2,"score":0.7548999786376953},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7451000213623047},{"id":"https://openalex.org/C61423126","wikidata":"https://www.wikidata.org/wiki/Q187432","display_name":"Scripting language","level":2,"score":0.6578999757766724},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6442999839782715},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.5914999842643738},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5095000267028809},{"id":"https://openalex.org/C42058472","wikidata":"https://www.wikidata.org/wiki/Q810214","display_name":"Base (topology)","level":2,"score":0.42289999127388},{"id":"https://openalex.org/C93959086","wikidata":"https://www.wikidata.org/wiki/Q6888345","display_name":"Model selection","level":2,"score":0.3935000002384186},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3928999900817871},{"id":"https://openalex.org/C2777211547","wikidata":"https://www.wikidata.org/wiki/Q17141490","display_name":"Training (meteorology)","level":2,"score":0.3788999915122986},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.37220001220703125},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.36629998683929443},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.35179999470710754},{"id":"https://openalex.org/C115901376","wikidata":"https://www.wikidata.org/wiki/Q184199","display_name":"Automation","level":2,"score":0.3285999894142151},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.30820000171661377},{"id":"https://openalex.org/C2779982483","wikidata":"https://www.wikidata.org/wiki/Q6094420","display_name":"Iterative refinement","level":2,"score":0.30809998512268066},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.27950000762939453},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.27639999985694885},{"id":"https://openalex.org/C103088060","wikidata":"https://www.wikidata.org/wiki/Q1062839","display_name":"Error detection and correction","level":2,"score":0.263700008392334},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.2621999979019165},{"id":"https://openalex.org/C177212765","wikidata":"https://www.wikidata.org/wiki/Q627335","display_name":"Workflow","level":2,"score":0.2614000141620636},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.26080000400543213},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.2603999972343445},{"id":"https://openalex.org/C2778915421","wikidata":"https://www.wikidata.org/wiki/Q3643177","display_name":"Performance improvement","level":2,"score":0.2549999952316284},{"id":"https://openalex.org/C169806903","wikidata":"https://www.wikidata.org/wiki/Q5937752","display_name":"Human error","level":2,"score":0.251800000667572}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2610.06347","doi":null,"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2610.06347","pdf_url":"https://arxiv.org/pdf/2610.06347","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.2610.06347","doi":"https://doi.org/10.48550/arxiv.2610.06347","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2610.06347","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":false,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2610.06347","doi":null,"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2610.06347","pdf_url":"https://arxiv.org/pdf/2610.06347","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":null,"raw_type":"text"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7220714925.pdf","grobid_xml":"https://content.openalex.org/works/W7220714925.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W7165636148","https://openalex.org/W7166800968","https://openalex.org/W7168795792","https://openalex.org/W7213488950","https://openalex.org/W7214030525","https://openalex.org/W7221748937","https://openalex.org/W7222755715","https://openalex.org/W4417114108","https://openalex.org/W7154282829","https://openalex.org/W4402605296"],"abstract_inverted_index":{"Adapting":[0],"general-purpose":[1],"large":[2],"language":[3],"models":[4],"to":[5,32,77,164],"specific":[6],"tasks":[7],"requires":[8],"substantial":[9],"human":[10],"effort":[11],"in":[12],"designing":[13],"data":[14,101],"and":[15,67,74,86,91,102,118,124,139,146],"training":[16,100,104],"strategies.":[17],"Sustaining":[18],"improvement":[19],"is":[20,97],"especially":[21],"challenging":[22],"because":[23],"model":[24,69,116],"updates":[25],"change":[26],"the":[27,58,144],"error":[28,63],"distribution,":[29],"requiring":[30],"strategies":[31,85,123],"be":[33],"continually":[34],"refined.":[35],"We":[36],"introduce":[37],"ImproveAnyTask,":[38],"an":[39],"autonomous":[40],"post-training":[41],"harness":[42,59],"that":[43],"improves":[44],"task":[45],"performance":[46],"under":[47,157],"a":[48,79,103,151,158],"limited":[49],"compute":[50],"budget.":[51],"Drawing":[52],"inspiration":[53],"from":[54],"gradient-based":[55],"parameter":[56],"optimization,":[57],"organizes":[60],"adaptation":[61],"into":[62,99],"attribution,":[64],"update-direction":[65],"selection,":[66],"executable":[68],"updates.":[70],"It":[71],"combines":[72],"metric-level":[73],"case-level":[75],"analysis":[76],"identify":[78],"focal":[80],"problem,":[81],"then":[82],"investigates":[83],"research-backed":[84],"compares":[87],"their":[88],"reported":[89],"gains":[90,136],"reproduction":[92],"difficulty.":[93],"The":[94],"selected":[95],"strategy":[96],"translated":[98],"configuration,":[105],"with":[106,150,161],"small-scale":[107],"execution":[108],"checks":[109],"preceding":[110],"full":[111],"post-training.":[112],"Subsequent":[113],"evaluation":[114],"guides":[115],"selection":[117],"further":[119],"adaptation,":[120],"while":[121],"validated":[122],"scripts":[125],"are":[126],"retained":[127],"for":[128],"reuse.":[129],"Across":[130],"11":[131],"tasks,":[132],"ImproveAnyTask":[133],"achieves":[134],"mean":[135],"of":[137,154],"18.29":[138],"11.97":[140],"percentage":[141],"points":[142],"on":[143],"Base":[145],"Instruct":[147],"models,":[148],"respectively,":[149],"maximum":[152],"gain":[153],"41.96":[155],"points,":[156],"24-hour":[159],"budget":[160],"resources":[162],"equivalent":[163],"eight":[165],"H20":[166],"GPUs.":[167]},"counts_by_year":[],"updated_date":"2026-10-28T10:33:24.094632","created_date":"2026-10-07T00:00:00"}
