{"id":"https://openalex.org/W7164608001","doi":"https://doi.org/10.48550/arxiv.2606.12864","title":"Beyond Problem Solving: UOJ-Bench for Evaluating Code Generation, Hacking, and Repair in Competitive Programming","display_name":"Beyond Problem Solving: UOJ-Bench for Evaluating Code Generation, Hacking, and Repair in Competitive Programming","publication_year":2026,"publication_date":"2026-06-11","ids":{"openalex":"https://openalex.org/W7164608001","doi":"https://doi.org/10.48550/arxiv.2606.12864"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2606.12864","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.12864","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,"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"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2606.12864","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101282570","display_name":"Tingqiang Xu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xu, Tingqiang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113115895","display_name":"Hangrui Zhou","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhou, Hangrui","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5138502386","display_name":"Tianle Cai","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Cai, Tianle","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5138555542","display_name":"Alex Gu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gu, Alex","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5030891201","display_name":"Kaifeng Lyu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lyu, Kaifeng","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":false,"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/T10260","display_name":"Software Engineering Research","score":0.19990000128746033,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T10260","display_name":"Software Engineering Research","score":0.19990000128746033,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T10533","display_name":"Teaching and Learning Programming","score":0.13230000436306,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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":0.08370000123977661,"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/code","display_name":"Code (set theory)","score":0.7067000269889832},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6694999933242798},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.6037999987602234},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.557699978351593},{"id":"https://openalex.org/keywords/source-code","display_name":"Source code","score":0.37209999561309814},{"id":"https://openalex.org/keywords/test","display_name":"Test (biology)","score":0.3409000039100647}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7516000270843506},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.7067000269889832},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6694999933242798},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6037999987602234},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.557699978351593},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.40059998631477356},{"id":"https://openalex.org/C43126263","wikidata":"https://www.wikidata.org/wiki/Q128751","display_name":"Source code","level":2,"score":0.37209999561309814},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3513999879360199},{"id":"https://openalex.org/C2777267654","wikidata":"https://www.wikidata.org/wiki/Q3519023","display_name":"Test (biology)","level":2,"score":0.3409000039100647},{"id":"https://openalex.org/C2778571376","wikidata":"https://www.wikidata.org/wiki/Q1355821","display_name":"Frontier","level":2,"score":0.3095000088214874},{"id":"https://openalex.org/C169903167","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Test set","level":2,"score":0.30230000615119934},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.3003999888896942},{"id":"https://openalex.org/C101454708","wikidata":"https://www.wikidata.org/wiki/Q17106019","display_name":"Standard Model (mathematical formulation)","level":3,"score":0.2754000127315521},{"id":"https://openalex.org/C53942775","wikidata":"https://www.wikidata.org/wiki/Q1211721","display_name":"Code coverage","level":3,"score":0.263700008392334},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.2599000036716461},{"id":"https://openalex.org/C102408133","wikidata":"https://www.wikidata.org/wiki/Q5156350","display_name":"Competitive analysis","level":3,"score":0.2547999918460846},{"id":"https://openalex.org/C58546491","wikidata":"https://www.wikidata.org/wiki/Q1150207","display_name":"Competitive advantage","level":2,"score":0.2500999867916107}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2606.12864","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.12864","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,"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":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2606.12864","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.12864","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,"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"},"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.5593425035476685}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Despite":[0,156],"strong":[1],"performance":[2],"in":[3,13,17,49,114,171],"competitive":[4],"programming,":[5],"the":[6,18,37,87,107,142,162],"role":[7],"of":[8,40,69,118,121,174],"Large":[9],"Language":[10],"Models":[11],"(LLMs)":[12],"supporting":[14],"human":[15],"learning":[16],"same":[19],"setting":[20],"remains":[21],"largely":[22],"unexplored.":[23],"In":[24],"this":[25],"work,":[26],"we":[27,159],"introduce":[28],"UOJ-Bench,":[29],"a":[30,53,119],"benchmark":[31],"designed":[32],"to":[33,46,111,127,139],"evaluate":[34],"not":[35],"only":[36],"problem-solving":[38],"ability":[39,45],"LLMs,":[41],"but":[42],"also":[43],"their":[44],"identify":[47,112],"errors":[48,113,170],"human-written":[50],"code":[51,73,75,78,84],"--":[52],"crucial":[54],"educational":[55],"activity":[56],"traditionally":[57],"supported":[58],"by":[59,130],"running":[60],"test":[61],"cases":[62],"over":[63,172],"online":[64],"judge":[65],"systems.":[66,193],"UOJ-Bench":[67],"consists":[68],"three":[70],"distinct":[71],"tasks:":[72],"generation,":[74],"hacking,":[76],"and":[77,92],"repair,":[79],"all":[80],"constructed":[81],"from":[82,147],"real-world":[83],"submissions":[85,122,176],"on":[86],"Universal":[88],"Online":[89],"Judge":[90],"(UOJ)":[91],"evaluated":[93],"through":[94],"UOJ's":[95],"native":[96],"judging":[97,192],"infrastructure.":[98],"Our":[99],"results":[100],"show":[101],"that":[102,123,161,182],"under":[103,165],"one-shot":[104],"evaluation,":[105],"even":[106],"strongest":[108],"models":[109,164],"fail":[110],"more":[115],"than":[116],"50%":[117],"set":[120],"have":[124],"been":[125],"found":[126],"be":[128],"incorrect":[129],"UOJ":[131],"users.":[132],"While":[133],"test-time":[134,166],"scaling":[135,167],"improves":[136],"success":[137],"rates":[138],"above":[140],"90%,":[141],"substantial":[143],"computational":[144],"costs":[145],"incurred":[146],"model":[148],"inference":[149],"limit":[150],"its":[151],"practicality":[152],"for":[153],"large-scale":[154],"deployment.":[155],"these":[157],"limitations,":[158],"find":[160],"best-performing":[163],"can":[168,185],"uncover":[169],"5%":[173],"full-score":[175],"across":[177],"roughly":[178],"30":[179],"problems,":[180],"suggesting":[181],"frontier":[183],"LLMs":[184],"already":[186],"provide":[187],"complementary":[188],"signals":[189],"beyond":[190],"standard":[191]},"counts_by_year":[],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2026-06-13T00:00:00"}