{"id":"https://openalex.org/W7161713999","doi":"https://doi.org/10.48550/arxiv.2605.17029","title":"Task Abstention for Large Language Models in Code Generation","display_name":"Task Abstention for Large Language Models in Code Generation","publication_year":2026,"publication_date":"2026-05-16","ids":{"openalex":"https://openalex.org/W7161713999","doi":"https://doi.org/10.48550/arxiv.2605.17029"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2605.17029","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.17029","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","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.2605.17029","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5136475870","display_name":"Yanke Zhou","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhou, Yanke","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136049246","display_name":"Yuhao Tan","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tan, Yuhao","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136460347","display_name":"Senrong Xu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xu, Senrong","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136489023","display_name":"Zenan Li","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Zenan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136502270","display_name":"Yuan Yao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yao, Yuan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136492133","display_name":"Taolue Chen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chen, Taolue","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5136481977","display_name":"Xiaoxing Ma","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ma, Xiaoxing","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/T10028","display_name":"Topic Modeling","score":0.2743000090122223,"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/T10028","display_name":"Topic Modeling","score":0.2743000090122223,"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":0.10159999877214432,"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/T10260","display_name":"Software Engineering Research","score":0.0869000032544136,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.6460999846458435},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6061999797821045},{"id":"https://openalex.org/keywords/oracle","display_name":"Oracle","score":0.5746999979019165},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.5428000092506409},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5376999974250793},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.48410001397132874}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7864000201225281},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.6460999846458435},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6061999797821045},{"id":"https://openalex.org/C55166926","wikidata":"https://www.wikidata.org/wiki/Q2892946","display_name":"Oracle","level":2,"score":0.5746999979019165},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.5428000092506409},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5376999974250793},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.48410001397132874},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.45350000262260437},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.44179999828338623},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4129999876022339},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.3864000141620636},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.3677999973297119},{"id":"https://openalex.org/C133162039","wikidata":"https://www.wikidata.org/wiki/Q1061077","display_name":"Code generation","level":3,"score":0.36239999532699585},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3546999990940094},{"id":"https://openalex.org/C55439883","wikidata":"https://www.wikidata.org/wiki/Q360812","display_name":"Correctness","level":2,"score":0.33559998869895935},{"id":"https://openalex.org/C2776654903","wikidata":"https://www.wikidata.org/wiki/Q2601463","display_name":"SAFER","level":2,"score":0.28610000014305115}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2605.17029","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.17029","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2605.17029","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.17029","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.48475149273872375}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Large":[0],"language":[1],"models":[2,132],"(LLMs)":[3],"have":[4],"revolutionized":[5],"automated":[6],"code":[7,48,76,88,123,159],"generation.":[8,160],"One":[9],"serious":[10],"concern,":[11],"however,":[12],"is":[13],"the":[14,32,64],"so-called":[15],"``hallucination'',":[16],"i.e.,":[17,36],"LLMs":[18],"may":[19],"generate":[20],"seemingly":[21],"plausible":[22],"but":[23],"functionally":[24],"incorrect":[25],"code.":[26],"In":[27],"this":[28],"paper,":[29],"we":[30],"study":[31],"task":[33,50],"abstention":[34,60,111],"problem,":[35],"determining":[37],"whether":[38],"a":[39,46,58,104,151],"given":[40],"LLM":[41],"should":[42],"abstain":[43,140],"from":[44,141],"performing":[45],"specific":[47],"generation":[49,73],"to":[51,81,133,147],"avoid":[52],"likely":[53],"hallucination.":[54],"Our":[55],"approach":[56,102],"features":[57],"calibrated":[59],"rule,":[61],"grounded":[62],"in":[63],"principles":[65],"of":[66,85],"multiple":[67],"hypothesis":[68],"testing.":[69],"The":[70],"rule":[71],"assesses":[72],"consistency":[74],"through":[75],"execution":[77],"outcomes,":[78],"allowing":[79],"it":[80],"handle":[82],"syntactic":[83],"diversity":[84],"semantically":[86],"equivalent":[87],"without":[89],"reliance":[90],"on":[91,109,117],"oracle":[92],"test":[93],"cases":[94],"or":[95],"external":[96],"databases.":[97],"We":[98,113],"prove":[99],"that":[100,127,143],"our":[101,115,128],"provides":[103],"rigorous,":[105],"distribution-free":[106],"theoretical":[107],"guarantee":[108],"its":[110],"decisions.":[112],"evaluate":[114],"method":[116,129],"benchmark":[118],"datasets":[119],"using":[120],"several":[121],"open-source":[122],"LLMs.":[124],"Results":[125],"show":[126],"allows":[130],"generative":[131],"more":[134,157],"accurately":[135],"and":[136,139,156],"efficiently":[137],"identify":[138],"tasks":[142],"induce":[144],"hallucination":[145],"compared":[146],"existing":[148],"techniques,":[149],"providing":[150],"reliable":[152],"mechanism":[153],"for":[154],"safer":[155],"robust":[158]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-05-20T00:00:00"}
