{"id":"https://openalex.org/W4409657237","doi":"https://doi.org/10.1145/3696410.3714717","title":"Understand What LLM Needs: Dual Preference Alignment for Retrieval-Augmented Generation","display_name":"Understand What LLM Needs: Dual Preference Alignment for Retrieval-Augmented Generation","publication_year":2025,"publication_date":"2025-04-22","ids":{"openalex":"https://openalex.org/W4409657237","doi":"https://doi.org/10.1145/3696410.3714717"},"language":"en","primary_location":{"id":"doi:10.1145/3696410.3714717","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3696410.3714717","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3696410.3714717","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM on Web Conference 2025","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3696410.3714717","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5008320336","display_name":"Guanting Dong","orcid":"https://orcid.org/0000-0002-2318-0281"},"institutions":[{"id":"https://openalex.org/I78988378","display_name":"Renmin University of China","ror":"https://ror.org/041pakw92","country_code":"CN","type":"education","lineage":["https://openalex.org/I78988378"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Guanting Dong","raw_affiliation_strings":["Gaoling School of Artificial Intelligence, Renmin University of China, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Gaoling School of Artificial Intelligence, Renmin University of China, Beijing, China","institution_ids":["https://openalex.org/I78988378"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007186741","display_name":"Yutao Zhu","orcid":"https://orcid.org/0000-0002-9432-3251"},"institutions":[{"id":"https://openalex.org/I78988378","display_name":"Renmin University of China","ror":"https://ror.org/041pakw92","country_code":"CN","type":"education","lineage":["https://openalex.org/I78988378"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yutao Zhu","raw_affiliation_strings":["Gaoling School of Artificial Intelligence, Renmin University of China, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Gaoling School of Artificial Intelligence, Renmin University of China, Beijing, China","institution_ids":["https://openalex.org/I78988378"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009883812","display_name":"Chenghao Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I78988378","display_name":"Renmin University of China","ror":"https://ror.org/041pakw92","country_code":"CN","type":"education","lineage":["https://openalex.org/I78988378"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chenghao Zhang","raw_affiliation_strings":["Gaoling School of Artificial Intelligence, Renmin University of China, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Gaoling School of Artificial Intelligence, Renmin University of China, Beijing, China","institution_ids":["https://openalex.org/I78988378"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052319258","display_name":"Zechen Wang","orcid":"https://orcid.org/0009-0005-8624-1634"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zechen Wang","raw_affiliation_strings":["Beijing University of Posts and Telecommunications, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025631695","display_name":"Ji-Rong Wen","orcid":"https://orcid.org/0000-0002-9777-9676"},"institutions":[{"id":"https://openalex.org/I78988378","display_name":"Renmin University of China","ror":"https://ror.org/041pakw92","country_code":"CN","type":"education","lineage":["https://openalex.org/I78988378"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ji-Rong Wen","raw_affiliation_strings":["Gaoling School of Artificial Intelligence, Renmin University of China, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Gaoling School of Artificial Intelligence, Renmin University of China, Beijing, China","institution_ids":["https://openalex.org/I78988378"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010558184","display_name":"Zhicheng Dou","orcid":"https://orcid.org/0000-0002-9781-948X"},"institutions":[{"id":"https://openalex.org/I78988378","display_name":"Renmin University of China","ror":"https://ror.org/041pakw92","country_code":"CN","type":"education","lineage":["https://openalex.org/I78988378"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhicheng Dou","raw_affiliation_strings":["Gaoling School of Artificial Intelligence, Renmin University of China, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Gaoling School of Artificial Intelligence, Renmin University of China, Beijing, China","institution_ids":["https://openalex.org/I78988378"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5008320336"],"corresponding_institution_ids":["https://openalex.org/I78988378"],"apc_list":null,"apc_paid":null,"fwci":53.2892,"has_fulltext":true,"cited_by_count":23,"citation_normalized_percentile":{"value":0.99834303,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"4206","last_page":"4225"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9994999766349792,"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":0.9994999766349792,"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/T10181","display_name":"Natural Language Processing Techniques","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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9983999729156494,"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/dual","display_name":"Dual (grammatical number)","score":0.7397692203521729},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7005773782730103},{"id":"https://openalex.org/keywords/preference","display_name":"Preference","score":0.6388176679611206},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.4413611888885498},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.37645500898361206},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.0678931176662445},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.05368342995643616}],"concepts":[{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.7397692203521729},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7005773782730103},{"id":"https://openalex.org/C2781249084","wikidata":"https://www.wikidata.org/wiki/Q908656","display_name":"Preference","level":2,"score":0.6388176679611206},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4413611888885498},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37645500898361206},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0678931176662445},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.05368342995643616},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3696410.3714717","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3696410.3714717","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3696410.3714717","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM on Web Conference 2025","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3696410.3714717","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3696410.3714717","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3696410.3714717","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM on Web Conference 2025","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1899978318","display_name":null,"funder_award_id":"L233008","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G228125052","display_name":null,"funder_award_id":"62272467","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2884910486","display_name":null,"funder_award_id":"Technology","funder_id":"https://openalex.org/F4320322724","funder_display_name":"Ministry of Education, India"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5939423041","display_name":null,"funder_award_id":"Technology","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6809183074","display_name":null,"funder_award_id":"Project No.","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"},{"id":"https://openalex.org/F4320322499","display_name":"Renmin University of China","ror":"https://ror.org/041pakw92"},{"id":"https://openalex.org/F4320322724","display_name":"Ministry of Education, India","ror":"https://ror.org/048xjjh50"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4409657237.pdf","grobid_xml":"https://content.openalex.org/works/W4409657237.grobid-xml"},"referenced_works_count":51,"referenced_works":["https://openalex.org/W2080133951","https://openalex.org/W2912924812","https://openalex.org/W2913340405","https://openalex.org/W2973171206","https://openalex.org/W3021397474","https://openalex.org/W3154498239","https://openalex.org/W3185341429","https://openalex.org/W4205809757","https://openalex.org/W4226433344","https://openalex.org/W4313680149","https://openalex.org/W4318719006","https://openalex.org/W4319453300","https://openalex.org/W4365211596","https://openalex.org/W4368755400","https://openalex.org/W4377121468","https://openalex.org/W4380993527","https://openalex.org/W4383046915","https://openalex.org/W4384890816","https://openalex.org/W4384918448","https://openalex.org/W4385007455","https://openalex.org/W4385262268","https://openalex.org/W4385889714","https://openalex.org/W4386044080","https://openalex.org/W4386501849","https://openalex.org/W4386794805","https://openalex.org/W4386977634","https://openalex.org/W4386978002","https://openalex.org/W4387561528","https://openalex.org/W4387635600","https://openalex.org/W4387841511","https://openalex.org/W4387848790","https://openalex.org/W4387849038","https://openalex.org/W4388274718","https://openalex.org/W4388717437","https://openalex.org/W4389519118","https://openalex.org/W4390306697","https://openalex.org/W4391985607","https://openalex.org/W4391988146","https://openalex.org/W4392678293","https://openalex.org/W4392930030","https://openalex.org/W4393160410","https://openalex.org/W4398795713","https://openalex.org/W4399399152","https://openalex.org/W4399912938","https://openalex.org/W4400434332","https://openalex.org/W4402670807","https://openalex.org/W4402671745","https://openalex.org/W4403569901","https://openalex.org/W6600292188","https://openalex.org/W6603484964","https://openalex.org/W6851092083"],"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/W4396696052"],"abstract_inverted_index":{"Retrieval-augmented":[0],"generation":[1],"(RAG)":[2],"has":[3],"effectively":[4],"mitigated":[5],"the":[6,15,19,22,101],"hallucination":[7],"problem":[8],"of":[9,17],"large":[10],"language":[11],"models":[12],"(LLMs).":[13],"However,":[14],"difficulty":[16],"aligning":[18],"retriever":[20],"with":[21,129],"LLMs'":[23,134],"diverse":[24,50],"knowledge":[25,51,62,127],"preferences":[26,52],"inevitably":[27],"poses":[28],"a":[29,33,44,60,114],"challenge":[30],"in":[31],"developing":[32],"reliable":[34,169],"RAG":[35,54,108,170],"system.":[36],"To":[37],"address":[38],"this":[39],"issue,":[40],"we":[41,57],"propose":[42],"DPA-RAG,":[43],"universal":[45],"framework":[46],"designed":[47],"to":[48,72,124],"align":[49],"within":[53],"systems.":[55,171],"Specifically,":[56],"initially":[58],"introduce":[59],"preference":[61,74,79,87,97,105],"construction":[63],"pipeline":[64],"and":[65,85,95,150,155,162,174],"incorporate":[66],"five":[67],"novel":[68],"query":[69],"augmentation":[70],"strategies":[71],"alleviate":[73],"data":[75],"scarcity.":[76],"Based":[77],"on":[78],"data,":[80],"DPA-RAG":[81,146],"accomplishes":[82],"both":[83,153],"external":[84,104],"internal":[86,135],"alignment:":[88],"1)":[89],"It":[90,111],"jointly":[91],"integrates":[92,152],"pairwise,":[93],"pointwise,":[94],"contrastive":[96],"alignment":[98,106],"abilities":[99],"into":[100],"reranker,":[102],"achieving":[103,133,168],"among":[107],"components.":[109],"2)":[110],"further":[112],"introduces":[113],"pre-aligned":[115],"stage":[116],"before":[117],"vanilla":[118],"Supervised":[119],"Fine-tuning":[120],"(SFT),":[121],"enabling":[122],"LLMs":[123],"implicitly":[125],"capture":[126],"aligned":[128],"their":[130],"reasoning":[131],"preferences,":[132],"alignment.":[136],"Experimental":[137],"results":[138],"across":[139],"four":[140],"knowledge-intensive":[141],"QA":[142],"datasets":[143],"demonstrate":[144],"that":[145],"outperforms":[147],"all":[148],"baselines":[149],"seamlessly":[151],"black-box":[154],"open-sourced":[156],"LLM":[157],"readers.":[158],"Further":[159],"qualitative":[160],"analysis":[161],"discussions":[163],"provide":[164],"empirical":[165],"guidance":[166],"for":[167],"Our":[172],"code":[173],"example":[175],"dataset":[176],"are":[177],"available":[178],"at":[179],"https://github.com/dongguanting/DPA-RAG.":[180]},"counts_by_year":[{"year":2026,"cited_by_count":8},{"year":2025,"cited_by_count":15}],"updated_date":"2026-04-13T07:58:08.660418","created_date":"2025-10-10T00:00:00"}