{"id":"https://openalex.org/W4412945465","doi":"https://doi.org/10.18653/v1/2025.acl-long.527","title":"GainRAG: Preference Alignment in Retrieval-Augmented Generation through Gain Signal Synthesis","display_name":"GainRAG: Preference Alignment in Retrieval-Augmented Generation through Gain Signal Synthesis","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4412945465","doi":"https://doi.org/10.18653/v1/2025.acl-long.527"},"language":"en","primary_location":{"id":"doi:10.18653/v1/2025.acl-long.527","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2025.acl-long.527","pdf_url":"https://aclanthology.org/2025.acl-long.527.pdf","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 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://aclanthology.org/2025.acl-long.527.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5054949861","display_name":"Yi Jiang","orcid":"https://orcid.org/0000-0002-5746-7301"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi Jiang","raw_affiliation_strings":["Research Center for Social Computing and Interactive Robotics , Harbin Institute of Technology , China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Research Center for Social Computing and Interactive Robotics , Harbin Institute of Technology , China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067025788","display_name":"Sendong Zhao","orcid":"https://orcid.org/0000-0002-4676-1812"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sendong Zhao","raw_affiliation_strings":["Research Center for Social Computing and Interactive Robotics , Harbin Institute of Technology , China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Research Center for Social Computing and Interactive Robotics , Harbin Institute of Technology , China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100361580","display_name":"Jianbo Li","orcid":"https://orcid.org/0000-0001-5000-2619"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianbo Li","raw_affiliation_strings":["Research Center for Social Computing and Interactive Robotics , Harbin Institute of Technology , China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Research Center for Social Computing and Interactive Robotics , Harbin Institute of Technology , China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075514969","display_name":"Haochun Wang","orcid":"https://orcid.org/0000-0003-2908-9750"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haochun Wang","raw_affiliation_strings":["Research Center for Social Computing and Interactive Robotics , Harbin Institute of Technology , China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Research Center for Social Computing and Interactive Robotics , Harbin Institute of Technology , China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005181083","display_name":"Bing Qin","orcid":null},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bing Qin","raw_affiliation_strings":["Research Center for Social Computing and Interactive Robotics , Harbin Institute of Technology , China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Research Center for Social Computing and Interactive Robotics , Harbin Institute of Technology , China","institution_ids":["https://openalex.org/I204983213"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I204983213"],"apc_list":null,"apc_paid":null,"fwci":14.0349,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.99198068,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"10746","last_page":"10757"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9235000014305115,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9235000014305115,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12611","display_name":"Neural Networks and Reservoir Computing","score":0.902400016784668,"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":0.6422052383422852},{"id":"https://openalex.org/keywords/preference","display_name":"Preference","score":0.5804393887519836},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.4887361526489258},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3712145686149597},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10097232460975647},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.07776123285293579}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6422052383422852},{"id":"https://openalex.org/C2781249084","wikidata":"https://www.wikidata.org/wiki/Q908656","display_name":"Preference","level":2,"score":0.5804393887519836},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.4887361526489258},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3712145686149597},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10097232460975647},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.07776123285293579},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/2025.acl-long.527","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2025.acl-long.527","pdf_url":"https://aclanthology.org/2025.acl-long.527.pdf","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 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/2025.acl-long.527","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2025.acl-long.527","pdf_url":"https://aclanthology.org/2025.acl-long.527.pdf","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 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G6081050233","display_name":null,"funder_award_id":"62206079","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"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4412945465.pdf","grobid_xml":"https://content.openalex.org/works/W4412945465.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"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":{"The":[0],"Retrieval-Augmented":[1],"Generation":[2],"(RAG)":[3],"framework":[4],"introduces":[5],"a":[6,40,101,113,130,139,158],"retrieval":[7],"module":[8],"to":[9,125,132,161],"dynamically":[10],"inject":[11],"retrieved":[12],"information":[13,92],"into":[14],"the":[15,32,48,53,106,143,146,149,170],"input":[16,122],"context":[17],"of":[18,56,145,172],"large":[19],"language":[20],"models":[21],"(LLMs),":[22],"and":[23,45,108,137,148],"has":[24],"demonstrated":[25],"significant":[26],"success":[27],"in":[28,47],"various":[29],"NLP":[30],"tasks.However,":[31],"current":[33],"study":[34],"points":[35],"out":[36],"that":[37,104,141],"there":[38],"is":[39],"preference":[41],"gap":[42],"between":[43],"retrievers":[44],"LLMs":[46],"RAG":[49],"framework,":[50],"which":[51,117],"limit":[52],"further":[54],"improvement":[55],"system":[57],"performance.Some":[58],"highly":[59],"relevant":[60],"passages":[61],"may":[62,82],"interfere":[63],"with":[64],"LLM":[65,84,150],"reasoning":[66],"because":[67],"they":[68],"contain":[69],"complex":[70],"or":[71,78,93],"contradictory":[72],"information;":[73],"while":[74],"some":[75],"indirectly":[76],"related":[77],"even":[79],"inaccurate":[80],"content":[81],"help":[83],"generate":[85],"more":[86],"accurate":[87],"answers":[88],"by":[89,111],"providing":[90],"suggestive":[91],"logical":[94],"clues.To":[95],"solve":[96],"this,":[97],"we":[98,128,156],"propose":[99,129],"GainRAG,":[100],"novel":[102],"approach":[103],"aligns":[105,142],"retriever's":[107],"LLM's":[109],"preferences":[110,144],"defining":[112],"new":[114],"metric,":[115],"\"gain\",":[116],"measure":[118],"how":[119],"well":[120],"an":[121],"passage":[123],"contributes":[124],"correct":[126],"outputs.Specifically,":[127],"method":[131],"estimate":[133],"these":[134],"gain":[135],"signals":[136],"train":[138],"middleware":[140],"retriever":[147],"using":[151],"only":[152],"limited":[153],"data.In":[154],"addition,":[155],"introduce":[157],"pseudo-passage":[159],"strategy":[160],"mitigate":[162],"degradation.The":[163],"experimental":[164],"results":[165],"on":[166],"6":[167],"datasets":[168],"verify":[169],"effectiveness":[171],"GainRAG":[173],"1":[174],".":[175]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":1}],"updated_date":"2026-08-19T15:00:24.278416","created_date":"2025-10-10T00:00:00"}