{"id":"https://openalex.org/W4403577811","doi":"https://doi.org/10.1145/3627673.3679688","title":"ITIU: Intention Understanding via Interactive Table in Large Language Models","display_name":"ITIU: Intention Understanding via Interactive Table in Large Language Models","publication_year":2024,"publication_date":"2024-10-20","ids":{"openalex":"https://openalex.org/W4403577811","doi":"https://doi.org/10.1145/3627673.3679688"},"language":"en","primary_location":{"id":"doi:10.1145/3627673.3679688","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3627673.3679688","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 33rd ACM International Conference on Information and Knowledge Management","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"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":["Laboratory for 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":"Laboratory for 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 Information Systems Engineering, 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 Information Systems Engineering, 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":["Laboratory for 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":"Laboratory for 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":1.4224,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.84324739,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1378","last_page":"1388"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9987999796867371,"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":0.9987999796867371,"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/T11719","display_name":"Data Quality and Management","score":0.9957000017166138,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.9950000047683716,"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/computer-science","display_name":"Computer science","score":0.771858274936676},{"id":"https://openalex.org/keywords/table","display_name":"Table (database)","score":0.7413275837898254},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4191238284111023},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.40103521943092346},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.32360154390335083},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.13476145267486572}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.771858274936676},{"id":"https://openalex.org/C45235069","wikidata":"https://www.wikidata.org/wiki/Q278425","display_name":"Table (database)","level":2,"score":0.7413275837898254},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4191238284111023},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.40103521943092346},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.32360154390335083},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.13476145267486572}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3627673.3679688","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3627673.3679688","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 33rd ACM International Conference on Information and Knowledge Management","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W3094554104","https://openalex.org/W3126145531","https://openalex.org/W4224253361","https://openalex.org/W4311991106","https://openalex.org/W4380136478","https://openalex.org/W4382618605","https://openalex.org/W4385568396","https://openalex.org/W4385572634","https://openalex.org/W4386437475","https://openalex.org/W4388555285","https://openalex.org/W4388787507","https://openalex.org/W4391835913","https://openalex.org/W4392669753","https://openalex.org/W4393970649"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W3204019825"],"abstract_inverted_index":{"Large":[0],"language":[1],"models":[2],"(LLMs)":[3],"have":[4],"shown":[5],"impressive":[6],"success":[7],"in":[8,15,87,98,181],"various":[9],"applications.":[10],"However,":[11],"they":[12],"encounter":[13],"issues":[14],"accurately":[16],"understanding":[17,32,77,151,178,188],"user":[18,63,114],"intentions,":[19],"thereby":[20],"impeding":[21],"the":[22,47,52,99,125,131,138,160,194,210],"successful":[23],"accomplishment":[24],"of":[25,92,127,183],"tasks.":[26],"The":[27,153],"pioneering":[28],"study":[29],"tackles":[30],"intention":[31,76,93,110,150,177,187],"through":[33],"iteratively":[34],"interacting":[35,101],"with":[36,51],"users":[37],"to":[38,45,82,113,123,144],"enhance":[39,124],"response":[40],"quality;":[41],"however,":[42],"it":[43],"fails":[44],"identify":[46],"notorious":[48],"challenges":[49],"associated":[50],"task,":[53],"where":[54],"efficiency":[55,166,185],"and":[56,83,116,186,202,212],"accuracy":[57,126],"are":[58,94,214],"paramount":[59],"for":[60,164],"ensuring":[61],"optimal":[62],"experience.":[64],"To":[65],"address":[66],"these":[67],"challenges,":[68],"we":[69,136],"introduce":[70],"a":[71,107,119,146],"new":[72],"interactive":[73,149],"table":[74,100,111],"based":[75],"(ITIU)":[78],"framework,":[79],"which":[80],"refers":[81],"implements":[84],"non-linear":[85],"thinking":[86],"psychology":[88],"such":[89],"that":[90,172],"details":[91],"parallelly":[95],"generated.":[96],"Specifically,":[97],"design":[102,163],"phase,":[103,135],"ITIU":[104,143,173,204],"first":[105],"brainstorms":[106],"more":[108],"concrete":[109],"relevant":[112],"instructions":[115],"subsequently":[117],"incorporates":[118],"rule-based":[120],"supervision":[121],"mechanism":[122],"its":[128],"content.":[129],"In":[130],"specialized":[132,147,154],"model":[133,155],"training":[134],"obtain":[137],"procedural":[139],"records":[140],"generated":[141],"by":[142],"develop":[145],"upstream":[148],"model.":[152],"replaces":[156],"internal":[157],"steps":[158],"within":[159],"original":[161],"interaction":[162,184],"further":[165],"improvement.":[167],"Comprehensive":[168],"experimental":[169],"results":[170],"demonstrate":[171],"significantly":[174],"outperforms":[175],"existing":[176],"methods,":[179],"particularly":[180],"terms":[182],"accuracy.":[189],"Furthermore,":[190],"whether":[191],"integrated":[192],"into":[193],"open-source":[195],"LLaMA":[196],"or":[197],"powerful":[198],"LLMs":[199],"like":[200],"GPT-4":[201],"Claude-3,":[203],"shows":[205],"significant":[206],"performance":[207],"improvements.":[208],"All":[209],"data":[211],"codes":[213],"released.":[215]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
