{"id":"https://openalex.org/W7154104639","doi":"https://doi.org/10.48550/arxiv.2604.08952","title":"MAB-DQA: Addressing Query Aspect Importance in Document Question Answering with Multi-Armed Bandits","display_name":"MAB-DQA: Addressing Query Aspect Importance in Document Question Answering with Multi-Armed Bandits","publication_year":2026,"publication_date":"2026-04-10","ids":{"openalex":"https://openalex.org/W7154104639","doi":"https://doi.org/10.48550/arxiv.2604.08952"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2604.08952","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.08952","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":null,"license_id":null,"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.2604.08952","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5133548360","display_name":"Yixin Xiang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xiang, Yixin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133515442","display_name":"Yunshan Ma","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ma, Yunshan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133493897","display_name":"Xiaoyu Du","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Du, Xiaoyu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101645078","display_name":"Yibing Chen","orcid":"https://orcid.org/0000-0001-9916-2824"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chen, Yibing","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133517281","display_name":"Yanxin Zhang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Yanxin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5133499260","display_name":"Jinhui Tang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tang, Jinhui","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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9717000126838684,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9717000126838684,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.008999999612569809,"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":0.0034000000450760126,"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/question-answering","display_name":"Question answering","score":0.7861999869346619},{"id":"https://openalex.org/keywords/salient","display_name":"Salient","score":0.6776000261306763},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.6636999845504761},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.650600016117096},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.5817000269889832},{"id":"https://openalex.org/keywords/document-retrieval","display_name":"Document retrieval","score":0.450300008058548},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.3944000005722046},{"id":"https://openalex.org/keywords/query-expansion","display_name":"Query expansion","score":0.38940000534057617}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.791700005531311},{"id":"https://openalex.org/C44291984","wikidata":"https://www.wikidata.org/wiki/Q1074173","display_name":"Question answering","level":2,"score":0.7861999869346619},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.7394999861717224},{"id":"https://openalex.org/C2780719617","wikidata":"https://www.wikidata.org/wiki/Q1030752","display_name":"Salient","level":2,"score":0.6776000261306763},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.6636999845504761},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.650600016117096},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.5817000269889832},{"id":"https://openalex.org/C161156560","wikidata":"https://www.wikidata.org/wiki/Q1638872","display_name":"Document retrieval","level":2,"score":0.450300008058548},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.3944000005722046},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3930000066757202},{"id":"https://openalex.org/C99016210","wikidata":"https://www.wikidata.org/wiki/Q5488129","display_name":"Query expansion","level":2,"score":0.38940000534057617},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3285999894142151},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.304500013589859},{"id":"https://openalex.org/C43126263","wikidata":"https://www.wikidata.org/wiki/Q128751","display_name":"Source code","level":2,"score":0.30250000953674316},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.29350000619888306},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.2847999930381775},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.28200000524520874},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.2750000059604645},{"id":"https://openalex.org/C135798126","wikidata":"https://www.wikidata.org/wiki/Q2167279","display_name":"Top-down and bottom-up design","level":2,"score":0.2728999853134155},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.26969999074935913},{"id":"https://openalex.org/C118689300","wikidata":"https://www.wikidata.org/wiki/Q7978614","display_name":"Web query classification","level":4,"score":0.25850000977516174},{"id":"https://openalex.org/C2778371909","wikidata":"https://www.wikidata.org/wiki/Q3771738","display_name":"Historical document","level":2,"score":0.25690001249313354},{"id":"https://openalex.org/C195807954","wikidata":"https://www.wikidata.org/wiki/Q1662562","display_name":"Information extraction","level":2,"score":0.25380000472068787}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2604.08952","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.08952","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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2604.08952","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.08952","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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.5107132792472839}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Document":[0],"Question":[1],"Answering":[2],"(DQA)":[3],"involves":[4],"generating":[5],"answers":[6],"from":[7,144],"a":[8,12,16,55,68,97,114,119,145],"document":[9,20,200],"based":[10],"on":[11],"user's":[13],"query,":[14],"representing":[15],"key":[17],"task":[18,23],"in":[19,47,84,113],"understanding.":[21,201],"This":[22],"requires":[24],"interpreting":[25],"visual":[26,50],"layouts,":[27],"which":[28],"has":[29],"prompted":[30],"recent":[31],"studies":[32],"to":[33,53,81,103,154],"adopt":[34],"multimodal":[35,48],"Retrieval-Augmented":[36],"Generation":[37],"(RAG)":[38],"that":[39],"processes":[40],"page":[41],"images":[42,59],"for":[43,130],"answer":[44],"generation.":[45],"However,":[46],"RAG,":[49],"DQA":[51,100],"struggles":[52],"utilize":[54],"large":[56],"number":[57,147],"of":[58,86,109,148,192],"effectively,":[60],"as":[61,136,151],"the":[62,106,172,181,195],"retrieval":[63,166],"stage":[64],"often":[65],"retains":[66],"only":[67],"few":[69],"candidate":[70,128],"pages":[71,150,175],"(e.g.,":[72],"Top-4),":[73],"causing":[74],"informative":[75,174],"but":[76],"less":[77],"visually":[78],"salient":[79],"content":[80],"be":[82],"overlooked":[83],"favor":[85],"common":[87],"yet":[88],"low-information":[89],"pages.":[90],"To":[91],"address":[92],"this":[93],"issue,":[94],"we":[95],"propose":[96],"Multi-Armed":[98],"Bandit-based":[99],"framework":[101],"(MAB-DQA)":[102],"explicitly":[104],"model":[105],"varying":[107],"importance":[108],"multiple":[110],"implicit":[111],"aspects":[112],"query.":[115],"Specifically,":[116],"MAB-DQA":[117,163,179,187],"decomposes":[118],"query":[120],"into":[121],"aspect-aware":[122],"subqueries":[123],"and":[124,139,176],"retrieves":[125],"an":[126,137,160,189],"aspect-specific":[127],"set":[129],"each.":[131],"It":[132],"treats":[133],"each":[134],"subquery":[135],"arm":[138],"uses":[140],"preliminary":[141],"reasoning":[142],"results":[143],"small":[146],"representative":[149],"reward":[152],"signals":[153],"estimate":[155],"aspect":[156],"utility.":[157],"Guided":[158],"by":[159],"exploration-exploitation":[161],"policy,":[162],"dynamically":[164],"reallocates":[165],"budgets":[167],"toward":[168],"high-value":[169],"aspects.":[170],"With":[171],"most":[173],"their":[177],"correlations,":[178],"generates":[180],"expected":[182],"results.":[183],"On":[184],"four":[185],"benchmarks,":[186],"shows":[188],"average":[190],"improvement":[191],"5%-18%":[193],"over":[194],"state-of-the-art":[196],"method,":[197],"consistently":[198],"enhancing":[199],"Codes":[202],"are":[203],"available":[204],"at":[205],"https://github.com/ElephantOH/MAB-DQA.":[206]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-04-14T00:00:00"}