{"id":"https://openalex.org/W7166875359","doi":"https://doi.org/10.18653/v1/2026.findings-acl.1151","title":"LLMs as ASP Programmers: Self-Correction Enables Task-Agnostic Nonmonotonic Reasoning","display_name":"LLMs as ASP Programmers: Self-Correction Enables Task-Agnostic Nonmonotonic Reasoning","publication_year":2026,"publication_date":"2026-01-01","ids":{"openalex":"https://openalex.org/W7166875359","doi":"https://doi.org/10.18653/v1/2026.findings-acl.1151"},"language":null,"primary_location":{"id":"doi:10.18653/v1/2026.findings-acl.1151","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2026.findings-acl.1151","pdf_url":"https://aclanthology.org/2026.findings-acl.1151.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 2026","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://aclanthology.org/2026.findings-acl.1151.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5076453478","display_name":"Adam Ishay","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Adam Ishay","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5139828770","display_name":"Joohyung Lee","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Joohyung Lee","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":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.8638419,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"22964","last_page":"22993"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11010","display_name":"Logic, Reasoning, and Knowledge","score":0.5745000243186951,"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/T11010","display_name":"Logic, Reasoning, and Knowledge","score":0.5745000243186951,"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/T10126","display_name":"Logic, programming, and type systems","score":0.13210000097751617,"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/T10639","display_name":"Advanced Software Engineering Methodologies","score":0.07970000058412552,"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/non-monotonic-logic","display_name":"Non-monotonic logic","score":0.5234000086784363},{"id":"https://openalex.org/keywords/circumscription","display_name":"Circumscription","score":0.3312999904155731},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.32679998874664307},{"id":"https://openalex.org/keywords/automated-reasoning","display_name":"Automated reasoning","score":0.3124000132083893},{"id":"https://openalex.org/keywords/case-based-reasoning","display_name":"Case-based reasoning","score":0.2879999876022339}],"concepts":[{"id":"https://openalex.org/C159032336","wikidata":"https://www.wikidata.org/wiki/Q2488768","display_name":"Non-monotonic logic","level":2,"score":0.5234000086784363},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5090000033378601},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4097000062465668},{"id":"https://openalex.org/C62360110","wikidata":"https://www.wikidata.org/wiki/Q96777007","display_name":"Circumscription","level":2,"score":0.3312999904155731},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.32679998874664307},{"id":"https://openalex.org/C195344581","wikidata":"https://www.wikidata.org/wiki/Q2555318","display_name":"Automated reasoning","level":2,"score":0.3124000132083893},{"id":"https://openalex.org/C20162079","wikidata":"https://www.wikidata.org/wiki/Q1151406","display_name":"Case-based reasoning","level":2,"score":0.2879999876022339},{"id":"https://openalex.org/C161301231","wikidata":"https://www.wikidata.org/wiki/Q3478658","display_name":"Knowledge representation and reasoning","level":2,"score":0.26660001277923584},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.2578999996185303},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.24410000443458557}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/2026.findings-acl.1151","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2026.findings-acl.1151","pdf_url":"https://aclanthology.org/2026.findings-acl.1151.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 2026","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/2026.findings-acl.1151","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2026.findings-acl.1151","pdf_url":"https://aclanthology.org/2026.findings-acl.1151.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 2026","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.5487967133522034}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7166875359.pdf","grobid_xml":"https://content.openalex.org/works/W7166875359.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Recent":[0],"large":[1],"language":[2,65],"models":[3],"(LLMs)":[4],"have":[5],"achieved":[6],"impressive":[7],"reasoning":[8,109],"milestones":[9],"but":[10],"continue":[11],"to":[12,30,93,139],"struggle":[13],"with":[14,37],"high":[15],"computational":[16],"costs,":[17],"logical":[18],"inconsistencies,":[19],"and":[20,104,144],"sharp":[21],"performance":[22],"degradation":[23],"on":[24,44,75,152],"high-complexity":[25],"problems.While":[26],"neuro-symbolic":[27],"methods":[28],"attempt":[29],"mitigate":[31],"these":[32],"issues":[33],"by":[34,149],"coupling":[35],"LLMs":[36,138],"symbolic":[38],"reasoners,":[39],"existing":[40],"approaches":[41,81],"typically":[42],"rely":[43],"monotonic":[45],"logics":[46],"(e.g.,":[47],"SMT)":[48],"that":[49,62,82],"cannot":[50],"represent":[51],"defeasible":[52],"reasoning-essential":[53],"components":[54],"of":[55,162],"human":[56],"cognition.We":[57],"present":[58],"LLM+ASP,":[59],"a":[60,71,182],"framework":[61,98],"translates":[63],"natural":[64],"into":[66],"Answer":[67],"Set":[68],"Programming":[69],"(ASP),":[70],"nonmonotonic":[72,153],"formalism":[73],"based":[74],"stable":[76,134],"model":[77,135],"semantics.Unlike":[78],"prior":[79],"LLM+ASP":[80],"require":[83],"manually":[84],"authored":[85],"knowledge":[86],"modules,":[87],"domain-specific":[88],"prompts,":[89],"or":[90],"evaluation":[91],"restricted":[92],"single":[94],"problem":[95],"classes,":[96],"our":[97],"operates":[99],"without":[100],"any":[101],"per-task":[102],"engineering":[103],"applies":[105],"uniformly":[106],"across":[107,127],"diverse":[108,129],"tasks.Our":[110],"system":[111],"utilizes":[112],"an":[113],"automated":[114],"self-correction":[115,157],"loop":[116],"where":[117,186],"structured":[118],"feedback":[119],"from":[120],"the":[121,159,166],"ASP":[122],"solver":[123],"enables":[124],"iterative":[125,156],"refinement.Evaluating":[126],"six":[128],"benchmarks,":[130],"we":[131],"demonstrate":[132],"that:(1)":[133],"semantics":[136],"allow":[137],"naturally":[140],"express":[141],"default":[142],"rules":[143],"exceptions,":[145],"outperforming":[146],"SMT-based":[147],"alternatives":[148],"significant":[150],"margins":[151],"tasks;":[154],"(2)":[155],"is":[158],"primary":[160],"driver":[161],"performance,":[163],"effectively":[164],"replacing":[165],"need":[167],"for":[168],"handcrafted":[169],"domain":[170],"knowledge;":[171],"(3)":[172],"compact":[173],"in-context":[174],"reference":[175],"guides":[176],"substantially":[177],"outperform":[178],"verbose":[179],"documentation,":[180],"revealing":[181],"\"context":[183],"rot\"":[184],"phenomenon":[185],"excessive":[187],"context":[188],"hinders":[189],"constraint":[190],"adherence.":[191]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2026-07-02T00:00:00"}