{"id":"https://openalex.org/W7138065075","doi":"https://doi.org/10.1609/aaai.v40i38.40460","title":"NeSTR: A Neuro-Symbolic Abductive Framework for Temporal Reasoning in Large Language Models","display_name":"NeSTR: A Neuro-Symbolic Abductive Framework for Temporal Reasoning in Large Language Models","publication_year":2026,"publication_date":"2026-03-14","ids":{"openalex":"https://openalex.org/W7138065075","doi":"https://doi.org/10.1609/aaai.v40i38.40460"},"language":"en","primary_location":{"id":"doi:10.1609/aaai.v40i38.40460","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v40i38.40460","pdf_url":null,"source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://doi.org/10.1609/aaai.v40i38.40460","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5129683290","display_name":"Feng Liang","orcid":null},"institutions":[{"id":"https://openalex.org/I68581759","display_name":"China Academy of Launch Vehicle Technology","ror":"https://ror.org/012z62f48","country_code":"CN","type":"facility","lineage":["https://openalex.org/I68581759"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feng Liang","raw_affiliation_strings":["China Academy of Launch Vehicle Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"China Academy of Launch Vehicle Technology","institution_ids":["https://openalex.org/I68581759"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039575548","display_name":"Weixin Zeng","orcid":"https://orcid.org/0000-0002-2690-3190"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weixin Zeng","raw_affiliation_strings":["National Key Laboratory of Big Data and Decision, National University of Defense Technology, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Key Laboratory of Big Data and Decision, National University of Defense Technology, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075960252","display_name":"Runhao Zhao","orcid":"https://orcid.org/0009-0005-5980-178X"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Runhao Zhao","raw_affiliation_strings":["National Key Laboratory of Big Data and Decision, National University of Defense Technology, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Key Laboratory of Big Data and Decision, National University of Defense Technology, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5129645005","display_name":"Xiang Zhao","orcid":null},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiang Zhao","raw_affiliation_strings":["National Key Laboratory of Big Data and Decision, National University of Defense Technology, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Key Laboratory of Big Data and Decision, National University of Defense Technology, China","institution_ids":["https://openalex.org/I170215575"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.19749441,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"40","issue":"38","first_page":"31907","last_page":"31915"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.5601000189781189,"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":0.5601000189781189,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.11959999799728394,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T11596","display_name":"Constraint Satisfaction and Optimization","score":0.043699998408555984,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/hallucinating","display_name":"Hallucinating","score":0.5654000043869019},{"id":"https://openalex.org/keywords/temporal-database","display_name":"Temporal database","score":0.5515999794006348},{"id":"https://openalex.org/keywords/abductive-reasoning","display_name":"Abductive reasoning","score":0.5422999858856201},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.48089998960494995},{"id":"https://openalex.org/keywords/temporal-logic","display_name":"Temporal logic","score":0.43939998745918274},{"id":"https://openalex.org/keywords/deductive-reasoning","display_name":"Deductive reasoning","score":0.3707999885082245},{"id":"https://openalex.org/keywords/language-understanding","display_name":"Language understanding","score":0.3555999994277954},{"id":"https://openalex.org/keywords/reasoning-system","display_name":"Reasoning system","score":0.3431999981403351}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6985999941825867},{"id":"https://openalex.org/C2911011789","wikidata":"https://www.wikidata.org/wiki/Q130741","display_name":"Hallucinating","level":2,"score":0.5654000043869019},{"id":"https://openalex.org/C77277458","wikidata":"https://www.wikidata.org/wiki/Q1969246","display_name":"Temporal database","level":2,"score":0.5515999794006348},{"id":"https://openalex.org/C166088908","wikidata":"https://www.wikidata.org/wiki/Q308495","display_name":"Abductive reasoning","level":2,"score":0.5422999858856201},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5274999737739563},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.48089998960494995},{"id":"https://openalex.org/C25016198","wikidata":"https://www.wikidata.org/wiki/Q781833","display_name":"Temporal logic","level":2,"score":0.43939998745918274},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.38960000872612},{"id":"https://openalex.org/C97364631","wikidata":"https://www.wikidata.org/wiki/Q484284","display_name":"Deductive reasoning","level":2,"score":0.3707999885082245},{"id":"https://openalex.org/C2983448237","wikidata":"https://www.wikidata.org/wiki/Q1078276","display_name":"Language understanding","level":2,"score":0.3555999994277954},{"id":"https://openalex.org/C89288958","wikidata":"https://www.wikidata.org/wiki/Q7301504","display_name":"Reasoning system","level":2,"score":0.3431999981403351},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.3424000144004822},{"id":"https://openalex.org/C83725634","wikidata":"https://www.wikidata.org/wiki/Q7268699","display_name":"Qualitative reasoning","level":2,"score":0.3375000059604645},{"id":"https://openalex.org/C44291984","wikidata":"https://www.wikidata.org/wiki/Q1074173","display_name":"Question answering","level":2,"score":0.3239000141620636},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.32190001010894775},{"id":"https://openalex.org/C162670838","wikidata":"https://www.wikidata.org/wiki/Q6057295","display_name":"Interval temporal logic","level":3,"score":0.3172999918460846},{"id":"https://openalex.org/C188147891","wikidata":"https://www.wikidata.org/wiki/Q147638","display_name":"Cognitive science","level":1,"score":0.31470000743865967},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.31189998984336853},{"id":"https://openalex.org/C11648818","wikidata":"https://www.wikidata.org/wiki/Q2403081","display_name":"Temporal logic of actions","level":4,"score":0.29100000858306885},{"id":"https://openalex.org/C159032336","wikidata":"https://www.wikidata.org/wiki/Q2488768","display_name":"Non-monotonic logic","level":2,"score":0.28940001130104065},{"id":"https://openalex.org/C183521366","wikidata":"https://www.wikidata.org/wiki/Q7256422","display_name":"Psychology of reasoning","level":4,"score":0.2705000042915344},{"id":"https://openalex.org/C161301231","wikidata":"https://www.wikidata.org/wiki/Q3478658","display_name":"Knowledge representation and reasoning","level":2,"score":0.26460000872612},{"id":"https://openalex.org/C2779439875","wikidata":"https://www.wikidata.org/wiki/Q1078276","display_name":"Natural language understanding","level":3,"score":0.25920000672340393}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1609/aaai.v40i38.40460","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v40i38.40460","pdf_url":null,"source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},{"id":"pmh:oai:ojs.aaai.org:article/40460","is_oa":false,"landing_page_url":"https://ojs.aaai.org/index.php/AAAI/article/view/40460","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"2159-5399","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"doi:10.1609/aaai.v40i38.40460","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v40i38.40460","pdf_url":null,"source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.6703466176986694}],"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],"(LLMs)":[3],"have":[4,34],"demonstrated":[5],"remarkable":[6],"performance":[7,171],"across":[8],"a":[9,26,80,117],"wide":[10],"range":[11],"of":[12,61,134,183],"natural":[13],"language":[14,192],"processing":[15],"tasks.":[16],"However,":[17],"temporal":[18,23,40,69,86,132,140,161,175,188],"reasoning,":[19],"particularly":[20],"under":[21],"complex":[22],"constraints,":[24],"remains":[25],"major":[27],"challenge.":[28],"To":[29,104],"this":[30,109],"end,":[31],"existing":[32],"approaches":[33,55],"explored":[35],"symbolic":[36,54,123,143],"methods,":[37],"which":[38,46,71],"encode":[39],"structure":[41],"explicitly,":[42],"and":[43,150,172],"reflective":[44,64,127],"mechanisms,":[45],"revise":[47],"reasoning":[48,59,128,176],"errors":[49],"through":[50,142],"multi-step":[51],"inference.":[52,136],"Nonetheless,":[53],"often":[56],"underutilize":[57],"the":[58,84,131,181],"capabilities":[60],"LLMs,":[62],"while":[63],"methods":[65],"typically":[66],"lack":[67],"structured":[68,122],"representations,":[70],"can":[72],"result":[73],"in":[74,108,186,190],"inconsistent":[75],"or":[76,94,101],"hallucinated":[77],"reasoning.":[78],"As":[79],"result,":[81],"even":[82],"when":[83],"correct":[85],"context":[87],"is":[88],"available,":[89],"LLMs":[90],"may":[91],"still":[92],"misinterpret":[93],"misapply":[95],"time-related":[96],"information,":[97],"leading":[98],"to":[99,129],"incomplete":[100],"inaccurate":[102],"answers.":[103],"address":[105],"these":[106],"limitations,":[107],"work,":[110],"we":[111],"propose":[112],"Neuro-Symbolic":[113],"Temporal":[114],"Reasoning":[115],"(NeSTR),":[116],"novel":[118],"framework":[119],"that":[120,166],"integrates":[121],"representations":[124],"with":[125],"hybrid":[126],"enhance":[130],"sensitivity":[133],"LLM":[135],"NeSTR":[137,167],"preserves":[138],"explicit":[139],"relations":[141],"encoding,":[144],"enforces":[145],"logical":[146],"consistency":[147],"via":[148],"verification,":[149],"corrects":[151],"flawed":[152],"inferences":[153],"using":[154],"abductive":[155],"reflection.":[156],"Extensive":[157],"experiments":[158],"on":[159],"diverse":[160],"question":[162],"answering":[163],"benchmarks":[164],"demonstrate":[165],"achieves":[168],"superior":[169],"zero-shot":[170],"consistently":[173],"improves":[174],"without":[177],"any":[178],"fine-tuning,":[179],"showcasing":[180],"advantage":[182],"neuro-symbolic":[184],"integration":[185],"enhancing":[187],"understanding":[189],"large":[191],"models.":[193]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2026-03-18T00:00:00"}