{"id":"https://openalex.org/W7140074691","doi":"https://doi.org/10.18653/v1/2026.findings-eacl.12","title":"ThinkNote: Enhancing Knowledge Integration and Utilization of Large Language Models via Constructivist Cognition Modeling","display_name":"ThinkNote: Enhancing Knowledge Integration and Utilization of Large Language Models via Constructivist Cognition Modeling","publication_year":2026,"publication_date":"2026-01-01","ids":{"openalex":"https://openalex.org/W7140074691","doi":"https://doi.org/10.18653/v1/2026.findings-eacl.12"},"language":null,"primary_location":{"id":"doi:10.18653/v1/2026.findings-eacl.12","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2026.findings-eacl.12","pdf_url":"https://aclanthology.org/2026.findings-eacl.12.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: EACL 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-eacl.12.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5130359278","display_name":"Zhipeng Xu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhipeng Xu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5130380151","display_name":"Zhenghao Liu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhenghao Liu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5130363115","display_name":"Yukun Yan","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yukun Yan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5130349622","display_name":"Shuo Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shuo Wang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5130367684","display_name":"Shi Yu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shi Yu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008361378","display_name":"Zheni Zeng","orcid":"https://orcid.org/0000-0001-6901-5292"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zheni Zeng","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014699953","display_name":"Chaojun Xiao","orcid":"https://orcid.org/0000-0001-6039-0942"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chaojun Xiao","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5130394431","display_name":"Zhiyuan Liu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhiyuan Liu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5130358930","display_name":"Ge Yu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ge Yu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5130339088","display_name":"Chenyan Xiong","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chenyan Xiong","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":true,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"211","last_page":"229"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.09279999881982803,"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":0.09279999881982803,"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/T11902","display_name":"Intelligent Tutoring Systems and Adaptive Learning","score":0.08739999681711197,"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/T13629","display_name":"Text Readability and Simplification","score":0.05009999871253967,"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/cognition","display_name":"Cognition","score":0.5360000133514404},{"id":"https://openalex.org/keywords/knowledge-integration","display_name":"Knowledge integration","score":0.382999986410141},{"id":"https://openalex.org/keywords/knowledge-representation-and-reasoning","display_name":"Knowledge representation and reasoning","score":0.3330000042915344},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.2922999858856201},{"id":"https://openalex.org/keywords/knowledge-modeling","display_name":"Knowledge modeling","score":0.28780001401901245},{"id":"https://openalex.org/keywords/knowledge-based-systems","display_name":"Knowledge-based systems","score":0.2856999933719635},{"id":"https://openalex.org/keywords/perspective","display_name":"Perspective (graphical)","score":0.28380000591278076}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5950999855995178},{"id":"https://openalex.org/C169900460","wikidata":"https://www.wikidata.org/wiki/Q2200417","display_name":"Cognition","level":2,"score":0.5360000133514404},{"id":"https://openalex.org/C188147891","wikidata":"https://www.wikidata.org/wiki/Q147638","display_name":"Cognitive science","level":1,"score":0.4059999883174896},{"id":"https://openalex.org/C56289545","wikidata":"https://www.wikidata.org/wiki/Q6423376","display_name":"Knowledge integration","level":3,"score":0.382999986410141},{"id":"https://openalex.org/C56739046","wikidata":"https://www.wikidata.org/wiki/Q192060","display_name":"Knowledge management","level":1,"score":0.35269999504089355},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3456999957561493},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.33660000562667847},{"id":"https://openalex.org/C161301231","wikidata":"https://www.wikidata.org/wiki/Q3478658","display_name":"Knowledge representation and reasoning","level":2,"score":0.3330000042915344},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.32100000977516174},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.2922999858856201},{"id":"https://openalex.org/C2775966667","wikidata":"https://www.wikidata.org/wiki/Q6423384","display_name":"Knowledge modeling","level":3,"score":0.28780001401901245},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.2870999872684479},{"id":"https://openalex.org/C115925183","wikidata":"https://www.wikidata.org/wiki/Q1412694","display_name":"Knowledge-based systems","level":2,"score":0.2856999933719635},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.28380000591278076},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.28119999170303345},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.27900001406669617},{"id":"https://openalex.org/C161407221","wikidata":"https://www.wikidata.org/wiki/Q4382939","display_name":"Cognitive model","level":3,"score":0.26899999380111694},{"id":"https://openalex.org/C511192102","wikidata":"https://www.wikidata.org/wiki/Q5156948","display_name":"Comprehension","level":2,"score":0.26840001344680786},{"id":"https://openalex.org/C179603123","wikidata":"https://www.wikidata.org/wiki/Q1941921","display_name":"Modeling language","level":3,"score":0.2662999927997589},{"id":"https://openalex.org/C2777220311","wikidata":"https://www.wikidata.org/wiki/Q6423340","display_name":"Knowledge acquisition","level":2,"score":0.25949999690055847},{"id":"https://openalex.org/C65682993","wikidata":"https://www.wikidata.org/wiki/Q1056451","display_name":"Reflection (computer programming)","level":2,"score":0.257999986410141},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.2556000053882599},{"id":"https://openalex.org/C25260931","wikidata":"https://www.wikidata.org/wiki/Q5164510","display_name":"Constructivist teaching methods","level":3,"score":0.2547999918460846}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/2026.findings-eacl.12","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2026.findings-eacl.12","pdf_url":"https://aclanthology.org/2026.findings-eacl.12.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: EACL 2026","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/2026.findings-eacl.12","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2026.findings-eacl.12","pdf_url":"https://aclanthology.org/2026.findings-eacl.12.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: EACL 2026","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.6144876480102539,"display_name":"Quality Education"}],"awards":[{"id":"https://openalex.org/G3078953789","display_name":null,"funder_award_id":"202403","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7140074691.pdf","grobid_xml":"https://content.openalex.org/works/W7140074691.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Large":[0],"Language":[1],"Models":[2],"(LLMs)":[3],"have":[4],"demonstrated":[5],"strong":[6,104],"performance":[7],"across":[8],"a":[9,43,55,75,100],"wide":[10],"range":[11],"of":[12,52],"NLP":[13],"tasks.However,":[14],"they":[15],"often":[16],"exhibit":[17],"suboptimal":[18],"behaviors":[19],"and":[20,91,117,127,132],"inconsistencies":[21],"when":[22],"exposed":[23],"to":[24,65,83,121],"unfamiliar":[25],"external":[26,49,119],"information,":[27],"underscoring":[28],"their":[29,129],"limitations":[30],"in":[31],"effectively":[32,115],"leveraging":[33],"such":[34],"knowledge.Inspired":[35],"by":[36],"constructivist":[37,57],"learning":[38],"theory,":[39],"we":[40],"propose":[41],"THINKNOTE,":[42],"novel":[44],"framework":[45],"that":[46,97,113],"enhances":[47],"the":[48,70],"knowledge":[50,63,120],"utilization":[51],"LLMs":[53,123],"through":[54],"twostage":[56],"cognitive":[58],"modeling":[59],"process.Specifically,":[60],"THINKNOTE":[61,98,114],"performs":[62],"assimilation":[64],"align":[66],"new":[67],"information":[68],"with":[69],"model's":[71],"parametric":[72],"memory,":[73],"forming":[74],"coherent":[76],"internal":[77,85],"representation.It":[78],"then":[79],"applies":[80],"thought":[81],"accommodation":[82],"adapt":[84],"reasoning,":[86],"thereby":[87],"promoting":[88],"more":[89],"consistent":[90],"reliable":[92],"outputs.Extensive":[93],"experimental":[94],"results":[95],"demonstrate":[96],"achieves":[99],"10%":[101],"improvement":[102],"over":[103],"baseline":[105],"methods":[106],"on":[107],"various":[108],"question-answering":[109],"benchmarks.Further":[110],"analysis":[111],"indicates":[112],"integrates":[116],"utilizes":[118],"help":[122],"generate":[124],"accurate":[125],"responses":[126],"improve":[128],"self-consistency.All":[130],"data":[131],"codes":[133],"are":[134],"available":[135],"at":[136],"https://github.com/":[137],"OpenMatch/ThinkNote.":[138]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2026-03-24T00:00:00"}
