{"id":"https://openalex.org/W4400530836","doi":"https://doi.org/10.1145/3626772.3657808","title":"Adaptive In-Context Learning with Large Language Models for Bundle Generation","display_name":"Adaptive In-Context Learning with Large Language Models for Bundle Generation","publication_year":2024,"publication_date":"2024-07-10","ids":{"openalex":"https://openalex.org/W4400530836","doi":"https://doi.org/10.1145/3626772.3657808"},"language":"en","primary_location":{"id":"doi:10.1145/3626772.3657808","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3626772.3657808","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval","raw_type":"proceedings-article"},"type":"article","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/A5033957641","display_name":"Zhu Sun","orcid":"https://orcid.org/0000-0002-3350-7022"},"institutions":[{"id":"https://openalex.org/I115228651","display_name":"Agency for Science, Technology and Research","ror":"https://ror.org/036wvzt09","country_code":"SG","type":"government","lineage":["https://openalex.org/I115228651"]},{"id":"https://openalex.org/I152815399","display_name":"Singapore University of Technology and Design","ror":"https://ror.org/05j6fvn87","country_code":"SG","type":"education","lineage":["https://openalex.org/I152815399"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Zhu Sun","raw_affiliation_strings":["A*STAR Centre for Frontier AI Research & Singapore University of Technology and Design, Singapore, Singapore"],"raw_orcid":"https://orcid.org/0000-0002-3350-7022","affiliations":[{"raw_affiliation_string":"A*STAR Centre for Frontier AI Research & Singapore University of Technology and Design, Singapore, Singapore","institution_ids":["https://openalex.org/I152815399","https://openalex.org/I115228651"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101941697","display_name":"Kaidong Feng","orcid":"https://orcid.org/0009-0002-2601-5537"},"institutions":[{"id":"https://openalex.org/I39333907","display_name":"Yanshan University","ror":"https://ror.org/02txfnf15","country_code":"CN","type":"education","lineage":["https://openalex.org/I39333907"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kaidong Feng","raw_affiliation_strings":["Yanshan University, Qinhuangdao, China"],"raw_orcid":"https://orcid.org/0009-0002-2601-5537","affiliations":[{"raw_affiliation_string":"Yanshan University, Qinhuangdao, China","institution_ids":["https://openalex.org/I39333907"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029123550","display_name":"Jie Yang","orcid":"https://orcid.org/0000-0002-0350-0313"},"institutions":[{"id":"https://openalex.org/I98358874","display_name":"Delft University of Technology","ror":"https://ror.org/02e2c7k09","country_code":"NL","type":"education","lineage":["https://openalex.org/I98358874"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Jie Yang","raw_affiliation_strings":["Delft University of Technology, Delft, Netherlands"],"raw_orcid":"https://orcid.org/0000-0002-0350-0313","affiliations":[{"raw_affiliation_string":"Delft University of Technology, Delft, Netherlands","institution_ids":["https://openalex.org/I98358874"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048340011","display_name":"Xinghua Qu","orcid":"https://orcid.org/0000-0001-8072-2019"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xinghua Qu","raw_affiliation_strings":["Shanda AI-Lab & Tianqiao and Chrissy Chen Institute, Singapore, Singapore"],"raw_orcid":"https://orcid.org/0000-0001-8072-2019","affiliations":[{"raw_affiliation_string":"Shanda AI-Lab & Tianqiao and Chrissy Chen Institute, Singapore, Singapore","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101716409","display_name":"Hui Fang","orcid":"https://orcid.org/0000-0001-9788-6634"},"institutions":[{"id":"https://openalex.org/I181679659","display_name":"Shanghai University of Finance and Economics","ror":"https://ror.org/00wtvfq62","country_code":"CN","type":"education","lineage":["https://openalex.org/I181679659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hui Fang","raw_affiliation_strings":["Shanghai University of Finance and Economics, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0001-9788-6634","affiliations":[{"raw_affiliation_string":"Shanghai University of Finance and Economics, Shanghai, China","institution_ids":["https://openalex.org/I181679659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068243197","display_name":"Yew-Soon Ong","orcid":"https://orcid.org/0000-0002-4480-169X"},"institutions":[{"id":"https://openalex.org/I115228651","display_name":"Agency for Science, Technology and Research","ror":"https://ror.org/036wvzt09","country_code":"SG","type":"government","lineage":["https://openalex.org/I115228651"]},{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Yew-Soon Ong","raw_affiliation_strings":["A*STAR Centre for Frontier AI Research & Nanyang Technological University, Singapore, Singapore"],"raw_orcid":"https://orcid.org/0000-0002-4480-169X","affiliations":[{"raw_affiliation_string":"A*STAR Centre for Frontier AI Research & Nanyang Technological University, Singapore, Singapore","institution_ids":["https://openalex.org/I172675005","https://openalex.org/I115228651"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100616413","display_name":"Wenyuan Liu","orcid":"https://orcid.org/0000-0002-8728-2703"},"institutions":[{"id":"https://openalex.org/I39333907","display_name":"Yanshan University","ror":"https://ror.org/02txfnf15","country_code":"CN","type":"education","lineage":["https://openalex.org/I39333907"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenyuan Liu","raw_affiliation_strings":["Yanshan University, Qinhuangdao, China"],"raw_orcid":"https://orcid.org/0000-0002-8728-2703","affiliations":[{"raw_affiliation_string":"Yanshan University, Qinhuangdao, China","institution_ids":["https://openalex.org/I39333907"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":7,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.1372,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.94447071,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"966","last_page":"976"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9962000250816345,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T10203","display_name":"Recommender Systems and Techniques","score":0.9962000250816345,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9858999848365784,"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/T13194","display_name":"ICT in Developing Communities","score":0.983299970626831,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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":0.746705949306488},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6214152574539185},{"id":"https://openalex.org/keywords/bundle","display_name":"Bundle","score":0.5273227095603943},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.47331416606903076},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.45858287811279297},{"id":"https://openalex.org/keywords/history","display_name":"History","score":0.09397295117378235}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.746705949306488},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6214152574539185},{"id":"https://openalex.org/C2778134712","wikidata":"https://www.wikidata.org/wiki/Q1047307","display_name":"Bundle","level":2,"score":0.5273227095603943},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47331416606903076},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.45858287811279297},{"id":"https://openalex.org/C95457728","wikidata":"https://www.wikidata.org/wiki/Q309","display_name":"History","level":0,"score":0.09397295117378235},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3626772.3657808","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3626772.3657808","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G7471894013","display_name":null,"funder_award_id":"Grant No. 72371148 and 72192832","funder_id":"https://openalex.org/F4320323817","funder_display_name":"Universitas Brawijaya"},{"id":"https://openalex.org/G8103650428","display_name":null,"funder_award_id":"Grant No. 21ZR1421900","funder_id":"https://openalex.org/F4320323817","funder_display_name":"Universitas Brawijaya"},{"id":"https://openalex.org/G8803613736","display_name":null,"funder_award_id":"Grant No. 23QA1403100","funder_id":"https://openalex.org/F4320323817","funder_display_name":"Universitas Brawijaya"}],"funders":[{"id":"https://openalex.org/F4320323817","display_name":"Universitas Brawijaya","ror":"https://ror.org/01wk3d929"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":61,"referenced_works":["https://openalex.org/W1509825211","https://openalex.org/W1986025018","https://openalex.org/W1990648752","https://openalex.org/W2005653178","https://openalex.org/W2010127467","https://openalex.org/W2015035514","https://openalex.org/W2045563097","https://openalex.org/W2058436802","https://openalex.org/W2066653584","https://openalex.org/W2124509324","https://openalex.org/W2150597317","https://openalex.org/W2295594781","https://openalex.org/W2338907098","https://openalex.org/W2741359394","https://openalex.org/W2741544350","https://openalex.org/W2809307135","https://openalex.org/W2893979288","https://openalex.org/W2912011540","https://openalex.org/W2946617802","https://openalex.org/W2964044287","https://openalex.org/W2964694324","https://openalex.org/W2966827122","https://openalex.org/W2972652735","https://openalex.org/W2984760942","https://openalex.org/W2997329666","https://openalex.org/W2997864604","https://openalex.org/W3012772192","https://openalex.org/W3021402147","https://openalex.org/W3034471508","https://openalex.org/W3036120435","https://openalex.org/W3093646793","https://openalex.org/W3099845332","https://openalex.org/W3100230417","https://openalex.org/W3106433415","https://openalex.org/W3156237268","https://openalex.org/W3200377484","https://openalex.org/W3207036918","https://openalex.org/W3207553988","https://openalex.org/W4225868472","https://openalex.org/W4281731230","https://openalex.org/W4281747803","https://openalex.org/W4284686273","https://openalex.org/W4284686601","https://openalex.org/W4288096824","https://openalex.org/W4292943140","https://openalex.org/W4296591855","https://openalex.org/W4297971002","https://openalex.org/W4368755500","https://openalex.org/W4384644538","https://openalex.org/W4384890880","https://openalex.org/W4385283760","https://openalex.org/W4386081001","https://openalex.org/W4386728930","https://openalex.org/W4386728933","https://openalex.org/W4386729641","https://openalex.org/W4386729952","https://openalex.org/W4386730022","https://openalex.org/W4387427108","https://openalex.org/W4387969535","https://openalex.org/W4389519118","https://openalex.org/W6600266142"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052","https://openalex.org/W2382290278","https://openalex.org/W3204019825"],"abstract_inverted_index":{"Most":[0],"existing":[1],"bundle":[2,46],"generation":[3,25,47,99],"approaches":[4],"fall":[5],"short":[6],"in":[7,23,28,113],"generating":[8],"fixed-size":[9],"bundles.":[10,31],"Furthermore,":[11],"they":[12],"often":[13],"neglect":[14],"the":[15,21,24,38,49,60,88,138,154,165,177,189],"underlying":[16,50],"user":[17,56],"intents":[18],"reflected":[19],"by":[20,59,158,175],"bundles":[22],"process,":[26],"resulting":[27],"less":[29],"intelligible":[30],"This":[32],"paper":[33],"addresses":[34],"these":[35,118],"limitations":[36],"through":[37],"exploration":[39],"of":[40,63,137,179,191],"two":[41,139],"interrelated":[42],"tasks,":[43],"i.e.,":[44],"personalized":[45],"and":[48,105,124,144],"intent":[51],"inference,":[52],"based":[53,152],"on":[54,90,117,153,160,184],"different":[55,161],"sessions.":[57,92,120,163,182],"Inspired":[58],"reasoning":[61],"capabilities":[62],"large":[64],"language":[65],"models":[66],"(LLMs),":[67],"we":[68,94,127],"propose":[69],"an":[70,146],"adaptive":[71,150],"in-context":[72],"learning":[73],"paradigm,":[74],"which":[75],"allows":[76],"LLMs":[77,112,159],"to":[78,100,110],"draw":[79],"tailored":[80],"lessons":[81,171],"from":[82],"related":[83],"sessions":[84],"as":[85],"demonstrations,":[86],"enhancing":[87],"performance":[89,174],"target":[91,166],"Specifically,":[93],"first":[95],"employ":[96],"retrieval":[97],"augmented":[98],"identify":[101],"nearest":[102],"neighbor":[103,119,162,181],"sessions,":[104],"then":[106],"carefully":[107],"design":[108],"prompts":[109],"guide":[111],"executing":[114],"both":[115],"tasks":[116,140],"To":[121],"tackle":[122],"reliability":[123],"hallucination":[125],"challenges,":[126],"further":[128],"introduce":[129],"(1)":[130],"a":[131],"self-correction":[132],"strategy":[133],"promoting":[134],"mutual":[135],"improvements":[136],"without":[141],"supervision":[142,151],"signals":[143],"(2)":[145],"auto-feedback":[147],"mechanism":[148],"for":[149,172],"distinct":[155],"mistakes":[156],"made":[157],"Thereby,":[164],"session":[167],"can":[168],"gain":[169],"customized":[170],"improved":[173],"observing":[176],"demonstrations":[178],"its":[180],"Experiments":[183],"three":[185],"real-world":[186],"datasets":[187],"demonstrate":[188],"effectiveness":[190],"our":[192],"proposed":[193],"method.":[194]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":4}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}