{"id":"https://openalex.org/W7163635056","doi":"https://doi.org/10.48550/arxiv.2606.05633","title":"Answer Presence Drives RAG Rewriting Gains","display_name":"Answer Presence Drives RAG Rewriting Gains","publication_year":2026,"publication_date":"2026-06-04","ids":{"openalex":"https://openalex.org/W7163635056","doi":"https://doi.org/10.48550/arxiv.2606.05633"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2606.05633","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.05633","pdf_url":null,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2606.05633","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5123315060","display_name":"Yuejie Li","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Yuejie","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113391956","display_name":"Yueying Hua","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hua, Yueying","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5138001839","display_name":"Ke Yang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yang, Ke","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5137942737","display_name":"Li Zhang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Li","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5126122663","display_name":"Yueping He","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"He, Yueping","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5126122663","display_name":"Yueping He","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"He, Yueping","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5137923135","display_name":"Ruiqi Li","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Ruiqi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5137979316","display_name":"Bolin Chen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chen, Bolin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5137994435","display_name":"Tao Wang","orcid":"https://orcid.org/0000-0002-1152-2221"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Tao","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5137979723","display_name":"Bowen Li","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Bowen","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5065931520","display_name":"Chengjun Mao","orcid":"https://orcid.org/0009-0001-8260-8217"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mao, Chengjun","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.46619999408721924,"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":0.46619999408721924,"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":0.3483000099658966,"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/T12377","display_name":"Digital Humanities and Scholarship","score":0.027499999850988388,"subfield":{"id":"https://openalex.org/subfields/1208","display_name":"Literature and Literary Theory"},"field":{"id":"https://openalex.org/fields/12","display_name":"Arts and Humanities"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5652999877929688},{"id":"https://openalex.org/keywords/rewriting","display_name":"Rewriting","score":0.5364000201225281},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.4708000123500824},{"id":"https://openalex.org/keywords/prefix","display_name":"Prefix","score":0.44029998779296875},{"id":"https://openalex.org/keywords/callback","display_name":"Callback","score":0.42489999532699585},{"id":"https://openalex.org/keywords/compiler","display_name":"Compiler","score":0.3528999984264374},{"id":"https://openalex.org/keywords/lift","display_name":"Lift (data mining)","score":0.3522000014781952},{"id":"https://openalex.org/keywords/head-start","display_name":"Head start","score":0.33640000224113464}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6072999835014343},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5652999877929688},{"id":"https://openalex.org/C154690210","wikidata":"https://www.wikidata.org/wiki/Q1668499","display_name":"Rewriting","level":2,"score":0.5364000201225281},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.4708000123500824},{"id":"https://openalex.org/C141603448","wikidata":"https://www.wikidata.org/wiki/Q134830","display_name":"Prefix","level":2,"score":0.44029998779296875},{"id":"https://openalex.org/C204495577","wikidata":"https://www.wikidata.org/wiki/Q1205349","display_name":"Callback","level":2,"score":0.42489999532699585},{"id":"https://openalex.org/C169590947","wikidata":"https://www.wikidata.org/wiki/Q47506","display_name":"Compiler","level":2,"score":0.3528999984264374},{"id":"https://openalex.org/C139002025","wikidata":"https://www.wikidata.org/wiki/Q3001212","display_name":"Lift (data mining)","level":2,"score":0.3522000014781952},{"id":"https://openalex.org/C2994555788","wikidata":"https://www.wikidata.org/wiki/Q5689226","display_name":"Head start","level":2,"score":0.33640000224113464},{"id":"https://openalex.org/C182407805","wikidata":"https://www.wikidata.org/wiki/Q2626534","display_name":"Substring","level":3,"score":0.33090001344680786},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.3294000029563904},{"id":"https://openalex.org/C97256817","wikidata":"https://www.wikidata.org/wiki/Q1462316","display_name":"Spurious relationship","level":2,"score":0.319599986076355},{"id":"https://openalex.org/C2776459999","wikidata":"https://www.wikidata.org/wiki/Q2119376","display_name":"Fidelity","level":2,"score":0.31679999828338623},{"id":"https://openalex.org/C157486923","wikidata":"https://www.wikidata.org/wiki/Q1376436","display_name":"String (physics)","level":2,"score":0.3124000132083893},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.30399999022483826},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.28940001130104065},{"id":"https://openalex.org/C60048249","wikidata":"https://www.wikidata.org/wiki/Q37437","display_name":"Syntax","level":2,"score":0.2833000123500824},{"id":"https://openalex.org/C186644900","wikidata":"https://www.wikidata.org/wiki/Q194152","display_name":"Parsing","level":2,"score":0.28130000829696655},{"id":"https://openalex.org/C44291984","wikidata":"https://www.wikidata.org/wiki/Q1074173","display_name":"Question answering","level":2,"score":0.28060001134872437},{"id":"https://openalex.org/C2780129039","wikidata":"https://www.wikidata.org/wiki/Q1931107","display_name":"Section (typography)","level":2,"score":0.2700999975204468},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.266400009393692},{"id":"https://openalex.org/C2780665704","wikidata":"https://www.wikidata.org/wiki/Q959298","display_name":"Intervention (counseling)","level":2,"score":0.26100000739097595},{"id":"https://openalex.org/C2780069185","wikidata":"https://www.wikidata.org/wiki/Q7977945","display_name":"Equivalence (formal languages)","level":2,"score":0.25600001215934753},{"id":"https://openalex.org/C2986991398","wikidata":"https://www.wikidata.org/wiki/Q37437","display_name":"Syntactic structure","level":3,"score":0.25209999084472656}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2606.05633","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.05633","pdf_url":null,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2606.05633","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.05633","pdf_url":null,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Retrieval-augmented":[0],"QA":[1],"pipelines":[2],"often":[3],"route":[4],"retrieved":[5],"passages":[6],"through":[7],"an":[8,211],"LLM":[9],"\\emph{rewriter}":[10],"before":[11],"a":[12,58,86,107,195,224],"smaller":[13],"reader,":[14],"lifting":[15],"F1":[16,142,166],"by":[17,41,53,143,167],"tens":[18],"of":[19,72,174,216],"points":[20,147,171],"on":[21,152,191],"multi-hop":[22],"benchmarks;":[23],"this":[24],"gain":[25],"is":[26,38,188],"typically":[27],"credited":[28],"to":[29,76,145,169,201,203],"improved":[30],"evidence":[31],"quality.":[32],"We":[33,220],"ask":[34],"whether":[35],"that":[36,162,199,239],"lift":[37],"causally":[39],"driven":[40],"the":[42,48,68,77,81,94,103,137,149,158,184,231,235,247],"gold":[43,82,95,138,159],"answer":[44,83,139],"string":[45],"appearing":[46],"in":[47,172],"rewritten":[49,64],"context":[50,65],"rather":[51],"than":[52],"curation":[54],"per":[55],"se,":[56],"using":[57],"controlled":[59,74],"intervention":[60,116,232],"audit.":[61],"For":[62],"each":[63],"we":[66,229],"re-run":[67],"reader":[69,120,141],"after":[70],"one":[71],"four":[73,206,218],"edits":[75],"compile":[78],"output:":[79],"removing":[80,136],"span,":[84],"replacing":[85],"length-matched":[87,150],"random":[88],"non-answer":[89],"span":[90],"(placebo),":[91],"or":[92,105,227],"injecting":[93],"into":[96,160],"rewrites":[97,161],"where":[98],"it":[99,164,193],"was":[100],"absent":[101],"(at":[102],"prefix":[104],"at":[106],"midpoint":[108],"sentence":[109],"boundary).":[110],"Across":[111],"twelve":[112],"completed":[113],"(cell,":[114,176],"baseline)":[115,177],"runs":[117],"spanning":[118],"three":[119,130,215],"families":[121],"(Qwen2.5-7B,":[122],"Qwen3.5-35B,":[123],"GLM-4.7),":[124],"two":[125],"datasets":[126],"(HotpotQA,":[127],"2WikiMultihopQA),":[128],"and":[129,156,209,234],"compiler":[131],"arrangements":[132],"(MA-only,":[133],"MB-only,":[134],"MA$+$verify),":[135],"drops":[140],"$28$":[144],"$64$":[146],"beyond":[148],"placebo":[151],"paired":[153],"\\texttt{answer-in-compile}":[154],"strata,":[155],"prepending":[157],"lacked":[163],"raises":[165],"$+0.7$":[168],"$+9.7$":[170],"$10$":[173],"$12$":[175],"combinations.":[178],"A":[179],"companion":[180],"five-sentinel":[181],"audit":[182],"shows":[183],"conventional":[185],"single-\\texttt{[MASK]}":[186],"probe":[187],"itself":[189],"sentinel-fragile:":[190],"2Wiki":[192],"reports":[194],"$+4.12$~F1":[196],"``non-leakage":[197],"residual''":[198],"flips":[200],"$-3.33$":[202],"$-7.81$~F1":[204],"under":[205],"alternative":[207],"sentinels":[208],"fails":[210],"equivalence":[212],"test":[213],"for":[214],"those":[217],"($1/4$~pass).":[219],"do":[221],"not":[222],"propose":[223],"new":[225],"rewriter":[226],"mitigation;":[228],"release":[230],"runner":[233],"sentinel":[236],"panel":[237],"so":[238],"other":[240],"rewriter-gain":[241],"claims":[242],"can":[243],"be":[244],"tested":[245],"against":[246],"same":[248],"standard.":[249]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-06-06T00:00:00"}