{"id":"https://openalex.org/W4412394915","doi":"https://doi.org/10.1145/3726302.3731951","title":"Alleviating LLM-based Generative Retrieval Hallucination in Alipay Search","display_name":"Alleviating LLM-based Generative Retrieval Hallucination in Alipay Search","publication_year":2025,"publication_date":"2025-07-13","ids":{"openalex":"https://openalex.org/W4412394915","doi":"https://doi.org/10.1145/3726302.3731951"},"language":"en","primary_location":{"id":"doi:10.1145/3726302.3731951","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3726302.3731951","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3726302.3731951","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 48th International ACM SIGIR Conference on Research and Development in Information Retrieval","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3726302.3731951","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Yedan Shen","orcid":"https://orcid.org/0009-0008-5101-6068"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yedan Shen","raw_affiliation_strings":["Ant Group, Hangzhou, China"],"raw_orcid":"https://orcid.org/0009-0008-5101-6068","affiliations":[{"raw_affiliation_string":"Ant Group, Hangzhou, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057019623","display_name":"Kaixin Wu","orcid":"https://orcid.org/0009-0000-6450-8960"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kaixin Wu","raw_affiliation_strings":["Ant Group, Hangzhou, China"],"raw_orcid":"https://orcid.org/0009-0000-6450-8960","affiliations":[{"raw_affiliation_string":"Ant Group, Hangzhou, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113941776","display_name":"Yuechen Ding","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yuechen Ding","raw_affiliation_strings":["Ant Group, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-2091-8981","affiliations":[{"raw_affiliation_string":"Ant Group, Hangzhou, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010209907","display_name":"Jingyuan Wen","orcid":"https://orcid.org/0009-0008-1875-961X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jingyuan Wen","raw_affiliation_strings":["Ant Group, Hangzhou, China"],"raw_orcid":"https://orcid.org/0009-0008-1875-961X","affiliations":[{"raw_affiliation_string":"Ant Group, Hangzhou, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101423423","display_name":"Hong Liu","orcid":"https://orcid.org/0009-0002-2361-5721"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hong Liu","raw_affiliation_strings":["Ant Group, Hangzhou, China"],"raw_orcid":"https://orcid.org/0009-0002-2361-5721","affiliations":[{"raw_affiliation_string":"Ant Group, Hangzhou, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045837483","display_name":"Mingjie Zhong","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mingjie Zhong","raw_affiliation_strings":["Ant Group, Hangzhou, China"],"raw_orcid":"https://orcid.org/0009-0002-3183-5361","affiliations":[{"raw_affiliation_string":"Ant Group, Hangzhou, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024900991","display_name":"Zhouhan Lin","orcid":"https://orcid.org/0009-0009-7204-0689"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhouhan Lin","raw_affiliation_strings":["LUMIA Lab, Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":"https://orcid.org/0009-0009-7204-0689","affiliations":[{"raw_affiliation_string":"LUMIA Lab, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101472360","display_name":"Jia Xu","orcid":"https://orcid.org/0009-0004-1163-513X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jia Xu","raw_affiliation_strings":["Ant Group, Hangzhou, China"],"raw_orcid":"https://orcid.org/0009-0004-1163-513X","affiliations":[{"raw_affiliation_string":"Ant Group, Hangzhou, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044628261","display_name":"Linjian Mo","orcid":"https://orcid.org/0000-0002-6682-1448"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Linjian Mo","raw_affiliation_strings":["Ant Group, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-6682-1448","affiliations":[{"raw_affiliation_string":"Ant Group, Hangzhou, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"4294","last_page":"4298"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9882000088691711,"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"}},"topics":[{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9882000088691711,"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/T10028","display_name":"Topic Modeling","score":0.9789999723434448,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9765999913215637,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.631069540977478},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.5579746961593628},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.46828529238700867},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.40998440980911255}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.631069540977478},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.5579746961593628},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.46828529238700867},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40998440980911255}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3726302.3731951","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3726302.3731951","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3726302.3731951","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 48th International ACM SIGIR Conference on Research and Development in Information Retrieval","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2503.21098","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2503.21098","pdf_url":"https://arxiv.org/pdf/2503.21098","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"doi:10.1145/3726302.3731951","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3726302.3731951","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3726302.3731951","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 48th International ACM SIGIR Conference on Research and Development in Information Retrieval","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4412394915.pdf","grobid_xml":"https://content.openalex.org/works/W4412394915.grobid-xml"},"referenced_works_count":3,"referenced_works":["https://openalex.org/W4378715759","https://openalex.org/W4403577836","https://openalex.org/W4404782445"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2380075625","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890"],"abstract_inverted_index":{"Generative":[0],"retrieval":[1,6,65,82,125,140],"(GR)":[2],"has":[3],"revolutionized":[4],"document":[5],"with":[7],"the":[8,23,43,100,107,120,129,137],"advent":[9],"of":[10],"large":[11],"language":[12],"models":[13],"(LLMs),":[14],"and":[15,29,36,75,90,97,127,148,155,164,170],"LLM-based":[16,31],"GR":[17,32,60,92,108,121],"is":[18],"gradually":[19],"being":[20],"adopted":[21],"by":[22],"industry.":[24],"Despite":[25],"its":[26,50],"remarkable":[27],"advantages":[28],"potential,":[30],"suffers":[33],"from":[34,133],"hallucination":[35],"generates":[37],"documents":[38,123],"that":[39],"are":[40],"irrelevant":[41],"to":[42,63,79,88,106,118],"query":[44],"in":[45,52,72,158,166],"some":[46],"instances,":[47],"severely":[48],"challenging":[49],"credibility":[51],"practical":[53],"applications.":[54],"We":[55],"thereby":[56],"propose":[57],"an":[58],"optimized":[59],"framework":[61],"designed":[62],"alleviate":[64],"hallucination,":[66],"which":[67],"integrates":[68],"knowledge":[69,105],"distillation":[70],"reasoning":[71,101],"model":[73,126],"training":[74],"incorporate":[76],"decision":[77,114],"agent":[78,115],"further":[80],"improve":[81],"precision.":[83],"Specifically,":[84],"we":[85,111],"employ":[86],"LLMs":[87],"assess":[89],"reason":[91],"retrieved":[93,122],"query-document":[94],"(q-d)":[95],"pairs,":[96],"then":[98],"distill":[99],"data":[102],"as":[103,116,136],"transferred":[104],"model.":[109],"Moreover,":[110],"utilize":[112],"a":[113],"post-processing":[117],"extend":[119],"through":[124],"select":[128],"most":[130],"relevant":[131],"ones":[132],"multi":[134],"perspectives":[135],"final":[138],"generative":[139],"result.":[141],"Extensive":[142],"offline":[143],"experiments":[144],"on":[145,152],"real-world":[146],"datasets":[147],"online":[149],"A/B":[150],"tests":[151],"Fund":[153],"Search":[154,157],"Insurance":[156],"Alipay":[159],"demonstrate":[160],"our":[161],"framework's":[162],"superiority":[163],"effectiveness":[165],"improving":[167],"search":[168],"quality":[169],"conversion":[171],"gains.":[172]},"counts_by_year":[{"year":2026,"cited_by_count":2}],"updated_date":"2026-07-15T18:14:33.161393","created_date":"2025-10-10T00:00:00"}