{"id":"https://openalex.org/W7167954979","doi":"https://doi.org/10.1145/3805712.3809593","title":"NeurPIU: Neurobiologically Inspired Personalized Intent Understanding in Large Language Models","display_name":"NeurPIU: Neurobiologically Inspired Personalized Intent Understanding in Large Language Models","publication_year":2026,"publication_date":"2026-07-10","ids":{"openalex":"https://openalex.org/W7167954979","doi":"https://doi.org/10.1145/3805712.3809593"},"language":null,"primary_location":{"id":"doi:10.1145/3805712.3809593","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3805712.3809593","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 49th International ACM SIGIR Conference on Research and Development in Information Retrieval","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3805712.3809593","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5084081529","display_name":"Zenghua Liao","orcid":"https://orcid.org/0009-0002-3155-2353"},"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":"Zenghua Liao","raw_affiliation_strings":["National Key Laboratory of Big Data and Decision, National University of Defense Technology, Changsha, Hunan, China"],"raw_orcid":"https://orcid.org/0009-0002-3155-2353","affiliations":[{"raw_affiliation_string":"National Key Laboratory of Big Data and Decision, National University of Defense Technology, Changsha, Hunan, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052860228","display_name":"Jinzhi Liao","orcid":"https://orcid.org/0000-0002-2898-6559"},"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":"Jinzhi Liao","raw_affiliation_strings":["National Key Laboratory of Big Data and Decision, National University of Defense Technology, Changsha, Hunan, China"],"raw_orcid":"https://orcid.org/0000-0002-2898-6559","affiliations":[{"raw_affiliation_string":"National Key Laboratory of Big Data and Decision, National University of Defense Technology, Changsha, Hunan, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5014937762","display_name":"Xiang Zhao","orcid":"https://orcid.org/0000-0001-6339-0219"},"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, Changsha, Hunan, China"],"raw_orcid":"https://orcid.org/0000-0001-6339-0219","affiliations":[{"raw_affiliation_string":"National Key Laboratory of Big Data and Decision, National University of Defense Technology, Changsha, Hunan, China","institution_ids":["https://openalex.org/I170215575"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I170215575"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.95182998,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1083","last_page":"1093"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.2583000063896179,"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":0.2583000063896179,"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/T12488","display_name":"Mental Health via Writing","score":0.19670000672340393,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T13702","display_name":"Machine Learning in Healthcare","score":0.09929999709129333,"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":0.5284000039100647},{"id":"https://openalex.org/keywords/language-model","display_name":"Language model","score":0.48019999265670776},{"id":"https://openalex.org/keywords/mental-model","display_name":"Mental model","score":0.3917999863624573},{"id":"https://openalex.org/keywords/forcing","display_name":"Forcing (mathematics)","score":0.3912999927997589},{"id":"https://openalex.org/keywords/prefix","display_name":"Prefix","score":0.38179999589920044},{"id":"https://openalex.org/keywords/expression","display_name":"Expression (computer science)","score":0.3799999952316284},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.3707999885082245},{"id":"https://openalex.org/keywords/user-modeling","display_name":"User modeling","score":0.33570000529289246},{"id":"https://openalex.org/keywords/comprehension","display_name":"Comprehension","score":0.33309999108314514}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6898000240325928},{"id":"https://openalex.org/C169900460","wikidata":"https://www.wikidata.org/wiki/Q2200417","display_name":"Cognition","level":2,"score":0.5284000039100647},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.48019999265670776},{"id":"https://openalex.org/C2982912361","wikidata":"https://www.wikidata.org/wiki/Q1851867","display_name":"Mental model","level":2,"score":0.3917999863624573},{"id":"https://openalex.org/C197115733","wikidata":"https://www.wikidata.org/wiki/Q1003136","display_name":"Forcing (mathematics)","level":2,"score":0.3912999927997589},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.38339999318122864},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3822999894618988},{"id":"https://openalex.org/C141603448","wikidata":"https://www.wikidata.org/wiki/Q134830","display_name":"Prefix","level":2,"score":0.38179999589920044},{"id":"https://openalex.org/C90559484","wikidata":"https://www.wikidata.org/wiki/Q778379","display_name":"Expression (computer science)","level":2,"score":0.3799999952316284},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.3707999885082245},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.33809998631477356},{"id":"https://openalex.org/C67712803","wikidata":"https://www.wikidata.org/wiki/Q7901853","display_name":"User modeling","level":3,"score":0.33570000529289246},{"id":"https://openalex.org/C511192102","wikidata":"https://www.wikidata.org/wiki/Q5156948","display_name":"Comprehension","level":2,"score":0.33309999108314514},{"id":"https://openalex.org/C188147891","wikidata":"https://www.wikidata.org/wiki/Q147638","display_name":"Cognitive science","level":1,"score":0.3271999955177307},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.31619998812675476},{"id":"https://openalex.org/C66024118","wikidata":"https://www.wikidata.org/wiki/Q1122506","display_name":"Computational model","level":2,"score":0.31200000643730164},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.3118000030517578},{"id":"https://openalex.org/C89611455","wikidata":"https://www.wikidata.org/wiki/Q6804646","display_name":"Mechanism (biology)","level":2,"score":0.29670000076293945},{"id":"https://openalex.org/C161407221","wikidata":"https://www.wikidata.org/wiki/Q4382939","display_name":"Cognitive model","level":3,"score":0.28519999980926514},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.2840999960899353},{"id":"https://openalex.org/C2778496695","wikidata":"https://www.wikidata.org/wiki/Q254128","display_name":"Dilemma","level":2,"score":0.2768999934196472},{"id":"https://openalex.org/C18591518","wikidata":"https://www.wikidata.org/wiki/Q1920928","display_name":"Mentalization","level":2,"score":0.274399995803833},{"id":"https://openalex.org/C20854674","wikidata":"https://www.wikidata.org/wiki/Q4386060","display_name":"Cognitive architecture","level":3,"score":0.2694999873638153},{"id":"https://openalex.org/C86658582","wikidata":"https://www.wikidata.org/wiki/Q1432778","display_name":"Social cognition","level":3,"score":0.26739999651908875},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.263700008392334},{"id":"https://openalex.org/C159423971","wikidata":"https://www.wikidata.org/wiki/Q177251","display_name":"Associative property","level":2,"score":0.2635999917984009},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.2563000023365021},{"id":"https://openalex.org/C134362201","wikidata":"https://www.wikidata.org/wiki/Q317309","display_name":"Mental health","level":2,"score":0.2549999952316284},{"id":"https://openalex.org/C45235069","wikidata":"https://www.wikidata.org/wiki/Q278425","display_name":"Table (database)","level":2,"score":0.2515999972820282}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3805712.3809593","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3805712.3809593","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 49th International ACM SIGIR Conference on Research and Development in Information Retrieval","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3805712.3809593","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3805712.3809593","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 49th International ACM SIGIR Conference on Research and Development in Information Retrieval","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.654771089553833}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1968372229","https://openalex.org/W2028175314","https://openalex.org/W2069870183","https://openalex.org/W2101105183","https://openalex.org/W3142744039","https://openalex.org/W4285300946","https://openalex.org/W4387636003","https://openalex.org/W4389523826","https://openalex.org/W4391835913","https://openalex.org/W4400118952","https://openalex.org/W4402671743","https://openalex.org/W4402671855","https://openalex.org/W4402726973","https://openalex.org/W4403577811","https://openalex.org/W4404569548","https://openalex.org/W4407759090","https://openalex.org/W4409657352","https://openalex.org/W4411113092","https://openalex.org/W4412944870","https://openalex.org/W4415110204","https://openalex.org/W4415797504","https://openalex.org/W4416436435","https://openalex.org/W7133211372"],"related_works":[],"abstract_inverted_index":{"Large":[0],"language":[1],"models":[2],"(LLMs)":[3],"excel":[4],"when":[5],"user":[6,33,193,222,238],"goals":[7],"are":[8,14,247],"clearly":[9],"specified,":[10],"yet":[11],"real-world":[12],"queries":[13],"often":[15],"vague":[16],"and":[17,23,50,91,117,162,212,217,245],"evolving,":[18],"forcing":[19],"LLMs":[20,127],"to":[21,25,31,46,55,97,178,190,214],"guess":[22],"leading":[24],"misaligned":[26],"responses.":[27],"Existing":[28],"approaches":[29],"attempt":[30],"clarify":[32],"intents":[34],"through":[35,172],"iterative":[36],"questioning.":[37],"While":[38],"effective":[39],"in":[40,82,102,113],"alleviating":[41],"disambiguation,":[42],"this":[43,103],"paradigm":[44],"tends":[45],"merely":[47],"provide":[48],"standard":[49],"normal":[51],"responses,":[52],"which":[53,83],"fails":[54],"meet":[56],"the":[57,68,76,84,99,107,110,114],"growing":[58],"demand":[59],"for":[60,132],"diverse":[61],"personalized":[62,133],"expression":[63],"of":[64,78,109],"users.":[65],"Based":[66],"on":[67,197],"observation,":[69],"we":[70,105],"first":[71],"identify":[72],"its":[73,209],"problem":[74],"as":[75],"ignore":[77],"users'":[79,144],"mental":[80,86,93,146,218],"states,":[81],"complicated":[85],"elements,":[87],"unclear":[88],"functional":[89],"rules,":[90],"evolving":[92,192],"states":[94,147,154],"pose":[95],"obstacles":[96],"approach":[98],"problem.":[100],"Therefore,":[101],"paper,":[104],"introduce":[106],"theory":[108],"mentalizing":[111,130],"network":[112,141,183],"human":[115],"brain":[116],"propose":[118],"a":[119,149,169,173],"neurobiologically":[120],"inspired":[121],"framework,":[122],"i.e.,":[123],"NeurPIU,":[124],"that":[125,142,201,229],"endows":[126],"with":[128,159,224],"human-like":[129],"capabilities":[131],"intent":[134,139],"understanding.":[135],"NeurPIU":[136,202,230],"constructs":[137],"an":[138,164],"neural":[140],"organizes":[143],"long-term":[145,205],"into":[148,168],"three-layer":[150],"graph;":[151],"retrieves":[152],"query-relevant":[153],"via":[155],"spreading":[156],"activation":[157],"mechanism":[158],"temporal":[160],"decay;":[161],"injects":[163],"encoded":[165],"cognitive":[166,176],"prefix":[167],"frozen":[170],"LLM":[171],"lightweight":[174],"LoRA-based":[175],"model":[177],"guide":[179],"response":[180],"generation.":[181],"The":[182],"is":[184],"incrementally":[185],"updated":[186],"after":[187],"each":[188],"interaction":[189,232],"track":[191],"cognition.":[194],"Extensive":[195],"experiments":[196],"four":[198],"benchmarks":[199],"show":[200],"consistently":[203],"improves":[204],"dialogue":[206],"quality,":[207],"especially":[208],"plug-and-play":[210],"feature,":[211],"generalizes":[213],"conversational":[215],"recommendation":[216],"health":[219],"counseling.":[220],"A":[221],"study":[223],"physiological":[225],"measurements":[226],"further":[227],"indicates":[228],"reduces":[231],"time":[233],"by":[234,241],"53.95%":[235],"while":[236],"improving":[237],"experience":[239],"ratings":[240],"22.38%.":[242],"All":[243],"data":[244],"code":[246],"released.":[248]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2026-07-11T00:00:00"}
