{"id":"https://openalex.org/W4412376958","doi":"https://doi.org/10.1145/3726302.3730023","title":"Lightweight and Direct Document Relevance Optimization for Generative Information Retrieval","display_name":"Lightweight and Direct Document Relevance Optimization for Generative Information Retrieval","publication_year":2025,"publication_date":"2025-07-13","ids":{"openalex":"https://openalex.org/W4412376958","doi":"https://doi.org/10.1145/3726302.3730023"},"language":"en","primary_location":{"id":"doi:10.1145/3726302.3730023","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3726302.3730023","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3726302.3730023","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":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3726302.3730023","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5106343200","display_name":"Kidist Amde Mekonnen","orcid":null},"institutions":[{"id":"https://openalex.org/I4210135670","display_name":"Amsterdam University of the Arts","ror":"https://ror.org/04dde1554","country_code":"NL","type":"education","lineage":["https://openalex.org/I4210135670"]},{"id":"https://openalex.org/I887064364","display_name":"University of Amsterdam","ror":"https://ror.org/04dkp9463","country_code":"NL","type":"education","lineage":["https://openalex.org/I887064364"]}],"countries":["NL"],"is_corresponding":true,"raw_author_name":"Kidist Amde Mekonnen","raw_affiliation_strings":["University of Amsterdam, Amsterdam, Netherlands"],"affiliations":[{"raw_affiliation_string":"University of Amsterdam, Amsterdam, Netherlands","institution_ids":["https://openalex.org/I4210135670","https://openalex.org/I887064364"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101981298","display_name":"Yubao Tang","orcid":"https://orcid.org/0009-0003-8010-3404"},"institutions":[{"id":"https://openalex.org/I4210135670","display_name":"Amsterdam University of the Arts","ror":"https://ror.org/04dde1554","country_code":"NL","type":"education","lineage":["https://openalex.org/I4210135670"]},{"id":"https://openalex.org/I887064364","display_name":"University of Amsterdam","ror":"https://ror.org/04dkp9463","country_code":"NL","type":"education","lineage":["https://openalex.org/I887064364"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Yubao Tang","raw_affiliation_strings":["University of Amsterdam, Amsterdam, Netherlands"],"affiliations":[{"raw_affiliation_string":"University of Amsterdam, Amsterdam, Netherlands","institution_ids":["https://openalex.org/I4210135670","https://openalex.org/I887064364"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5031439294","display_name":"Maarten de Rijke","orcid":"https://orcid.org/0000-0002-1086-0202"},"institutions":[{"id":"https://openalex.org/I4210135670","display_name":"Amsterdam University of the Arts","ror":"https://ror.org/04dde1554","country_code":"NL","type":"education","lineage":["https://openalex.org/I4210135670"]},{"id":"https://openalex.org/I887064364","display_name":"University of Amsterdam","ror":"https://ror.org/04dkp9463","country_code":"NL","type":"education","lineage":["https://openalex.org/I887064364"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Maarten de Rijke","raw_affiliation_strings":["University of Amsterdam, Amsterdam, Netherlands"],"affiliations":[{"raw_affiliation_string":"University of Amsterdam, Amsterdam, Netherlands","institution_ids":["https://openalex.org/I4210135670","https://openalex.org/I887064364"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5106343200"],"corresponding_institution_ids":["https://openalex.org/I4210135670","https://openalex.org/I887064364"],"apc_list":null,"apc_paid":null,"fwci":7.0294,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.96610166,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1327","last_page":"1338"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9984999895095825,"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":0.9984999895095825,"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/T12016","display_name":"Web Data Mining and Analysis","score":0.9973999857902527,"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/T10286","display_name":"Information Retrieval and Search Behavior","score":0.9965000152587891,"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/relevance","display_name":"Relevance (law)","score":0.8349756598472595},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7544105052947998},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.6641190052032471},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.5376976132392883},{"id":"https://openalex.org/keywords/relevance-feedback","display_name":"Relevance feedback","score":0.5256684422492981},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3394274413585663},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.17237067222595215}],"concepts":[{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.8349756598472595},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7544105052947998},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.6641190052032471},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.5376976132392883},{"id":"https://openalex.org/C2779532271","wikidata":"https://www.wikidata.org/wiki/Q445558","display_name":"Relevance feedback","level":4,"score":0.5256684422492981},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3394274413585663},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.17237067222595215},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3726302.3730023","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3726302.3730023","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3726302.3730023","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:2504.05181","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2504.05181","pdf_url":"https://arxiv.org/pdf/2504.05181","source":{"id":"https://openalex.org/S4393918464","display_name":"ArXiv.org","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"doi:10.1145/3726302.3730023","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3726302.3730023","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3726302.3730023","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":[{"id":"https://openalex.org/G2289169492","display_name":"Fairness and Intersectional Non-Discrimination in Human Recommendation","funder_award_id":"101070212","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G5550786340","display_name":null,"funder_award_id":"024.004.022","funder_id":"https://openalex.org/F4320321800","funder_display_name":"Nederlandse Organisatie voor Wetenschappelijk Onderzoek"},{"id":"https://openalex.org/G6009445997","display_name":null,"funder_award_id":"unknown","funder_id":"https://openalex.org/F4320321800","funder_display_name":"Nederlandse Organisatie voor Wetenschappelijk Onderzoek"},{"id":"https://openalex.org/G6280615682","display_name":null,"funder_award_id":"NWA.1389.20.183","funder_id":"https://openalex.org/F4320321800","funder_display_name":"Nederlandse Organisatie voor Wetenschappelijk Onderzoek"},{"id":"https://openalex.org/G629491556","display_name":null,"funder_award_id":"(NWO)","funder_id":"https://openalex.org/F4320321800","funder_display_name":"Nederlandse Organisatie voor Wetenschappelijk Onderzoek"},{"id":"https://openalex.org/G6640760388","display_name":null,"funder_award_id":"KICH3.LTP.20.006","funder_id":"https://openalex.org/F4320321800","funder_display_name":"Nederlandse Organisatie voor Wetenschappelijk Onderzoek"},{"id":"https://openalex.org/G8318064016","display_name":null,"funder_award_id":"Horizon","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"}],"funders":[{"id":"https://openalex.org/F4320320300","display_name":"European Commission","ror":"https://ror.org/00k4n6c32"},{"id":"https://openalex.org/F4320321800","display_name":"Nederlandse Organisatie voor Wetenschappelijk Onderzoek","ror":"https://ror.org/04jsz6e67"},{"id":"https://openalex.org/F4320332749","display_name":"University of Massachusetts Amherst","ror":"https://ror.org/0072zz521"},{"id":"https://openalex.org/F4320334322","display_name":"HORIZON EUROPE Framework Programme","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4412376958.pdf","grobid_xml":"https://content.openalex.org/works/W4412376958.grobid-xml"},"referenced_works_count":69,"referenced_works":["https://openalex.org/W1583837637","https://openalex.org/W2016589492","https://openalex.org/W2091158010","https://openalex.org/W2108862644","https://openalex.org/W2143331230","https://openalex.org/W2507731896","https://openalex.org/W2736601468","https://openalex.org/W2785783828","https://openalex.org/W2787013146","https://openalex.org/W2898073868","https://openalex.org/W2912924812","https://openalex.org/W2973379954","https://openalex.org/W2981852735","https://openalex.org/W3034999214","https://openalex.org/W3037128914","https://openalex.org/W3038572442","https://openalex.org/W3099700870","https://openalex.org/W3102788578","https://openalex.org/W3119164154","https://openalex.org/W3154180753","https://openalex.org/W3154280800","https://openalex.org/W3173588320","https://openalex.org/W3177765786","https://openalex.org/W3185146124","https://openalex.org/W3194782062","https://openalex.org/W3212725701","https://openalex.org/W4221146749","https://openalex.org/W4223512675","https://openalex.org/W4223908421","https://openalex.org/W4224438163","https://openalex.org/W4224865658","https://openalex.org/W4225156005","https://openalex.org/W4252076394","https://openalex.org/W4283315779","https://openalex.org/W4284665012","https://openalex.org/W4286969177","https://openalex.org/W4288089799","https://openalex.org/W4292215729","https://openalex.org/W4292761107","https://openalex.org/W4293791267","https://openalex.org/W4300427681","https://openalex.org/W4304686742","https://openalex.org/W4309088836","https://openalex.org/W4322718191","https://openalex.org/W4367628274","https://openalex.org/W4372279027","https://openalex.org/W4378468487","https://openalex.org/W4378771755","https://openalex.org/W4379137333","https://openalex.org/W4385567756","https://openalex.org/W4385569809","https://openalex.org/W4385570369","https://openalex.org/W4385571319","https://openalex.org/W4385572521","https://openalex.org/W4386302269","https://openalex.org/W4387848863","https://openalex.org/W4388955883","https://openalex.org/W4389520393","https://openalex.org/W4389520743","https://openalex.org/W4393096553","https://openalex.org/W4393153307","https://openalex.org/W4396723267","https://openalex.org/W4396843611","https://openalex.org/W4399301659","https://openalex.org/W4400528921","https://openalex.org/W4400529053","https://openalex.org/W4402670065","https://openalex.org/W4409150075","https://openalex.org/W6604381581"],"related_works":["https://openalex.org/W1921936017","https://openalex.org/W2001985945","https://openalex.org/W2009716188","https://openalex.org/W1518380457","https://openalex.org/W1971071004","https://openalex.org/W1973132420","https://openalex.org/W2460037195","https://openalex.org/W2142731558","https://openalex.org/W2077213532","https://openalex.org/W2157408137"],"abstract_inverted_index":{"Generative":[0],"information":[1],"retrieval":[2,8,13,29,175],"(GenIR)":[3],"is":[4,91],"a":[5,15,26,153,162,178,186,201],"promising":[6],"neural":[7],"paradigm":[9],"that":[10,146],"formulates":[11],"document":[12,16,104,141],"as":[14,59,185],"identifier":[17],"(docid)":[18],"generation":[19,112],"task,":[20],"allowing":[21],"for":[22,126,158,165],"end-to-end":[23],"optimization":[24,80,106,119,180,188,194],"toward":[25],"unified":[27],"global":[28],"objective.":[30],"However,":[31],"existing":[32],"GenIR":[33,197],"models":[34,40,198],"suffer":[35],"from":[36,62],"token-level":[37,110],"misalignment,":[38],"where":[39],"trained":[41],"to":[42,49,67,173,204],"predict":[43],"the":[44,79,124,192],"next":[45],"token":[46],"often":[47,95],"fail":[48],"capture":[50],"document-level":[51,114],"relevance":[52,63,105,115],"effectively.":[53],"While":[54],"reinforcement":[55,60,88,131,149,205],"learning-based":[56,150,206],"methods,":[57,151],"such":[58],"learning":[61],"feedback":[64],"(RLRF),":[65],"aim":[66],"address":[68,98],"this":[69],"misalignment":[70],"through":[71,117],"reward":[72,84,128],"modeling,":[73],"they":[74],"introduce":[75],"significant":[76],"complexity,":[77],"requiring":[78],"of":[81,196],"an":[82],"auxiliary":[83],"function":[85],"followed":[86],"by":[87],"fine-tuning,":[89],"which":[90,108],"computationally":[92],"expensive":[93],"and":[94,130,142,161],"unstable.":[96],"To":[97],"these":[99],"challenges,":[100],"we":[101],"propose":[102],"direct":[103,118,187],"(DDRO),":[107],"aligns":[109],"docid":[111],"with":[113,177],"estimation":[116],"via":[120],"pairwise":[121],"ranking,":[122],"eliminating":[123],"need":[125],"explicit":[127],"modeling":[129],"learning.":[132],"Experimental":[133],"results":[134],"on":[135],"benchmark":[136],"datasets,":[137],"including":[138],"MS":[139,159],"MARCO":[140,160],"Natural":[143,166],"Questions,":[144],"show":[145],"DDRO":[147,190],"outperforms":[148],"achieving":[152],"7.4%":[154],"improvement":[155,164],"in":[156],"MRR@10":[157],"19.9%":[163],"Questions.":[167],"These":[168],"findings":[169],"highlight":[170],"DDRO's":[171],"potential":[172],"enhance":[174],"effectiveness":[176],"simplified":[179],"approach.":[181],"By":[182],"framing":[183],"alignment":[184],"problem,":[189],"simplifies":[191],"ranking":[193],"pipeline":[195],"while":[199],"offering":[200],"viable":[202],"alternative":[203],"methods":[207]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":1}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}