{"id":"https://openalex.org/W4412888547","doi":"https://doi.org/10.18653/v1/2025.findings-acl.354","title":"Inter-Passage Verification for Multi-evidence Multi-answer QA","display_name":"Inter-Passage Verification for Multi-evidence Multi-answer QA","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4412888547","doi":"https://doi.org/10.18653/v1/2025.findings-acl.354"},"language":"en","primary_location":{"id":"doi:10.18653/v1/2025.findings-acl.354","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2025.findings-acl.354","pdf_url":"https://aclanthology.org/2025.findings-acl.354.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":"Findings of the Association for Computational Linguistics: ACL 2025","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://aclanthology.org/2025.findings-acl.354.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5119181446","display_name":"Bingsen Chen","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Bingsen Chen","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5119181447","display_name":"Shenji Wan","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shenji Wan","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5119181448","display_name":"Xi Ye","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xi Ye","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5119181449","display_name":"Chen Zhao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chen Zhao","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5119181446"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.09937767,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"6811","last_page":"6829"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9815000295639038,"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":0.9815000295639038,"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9768999814987183,"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/T10215","display_name":"Semantic Web and Ontologies","score":0.9760000109672546,"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":0.6788893938064575}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6788893938064575}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/2025.findings-acl.354","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2025.findings-acl.354","pdf_url":"https://aclanthology.org/2025.findings-acl.354.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":"Findings of the Association for Computational Linguistics: ACL 2025","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/2025.findings-acl.354","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2025.findings-acl.354","pdf_url":"https://aclanthology.org/2025.findings-acl.354.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":"Findings of the Association for Computational Linguistics: ACL 2025","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320310501","display_name":"New York University Shanghai","ror":"https://ror.org/02vpsdb40"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4412888547.pdf","grobid_xml":"https://content.openalex.org/works/W4412888547.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":{"Multi-answer":[0],"question":[1],"answering":[2],"(QA),":[3],"where":[4],"questions":[5,144],"can":[6],"have":[7],"many":[8],"valid":[9],"answers,":[10],"presents":[11],"a":[12,30,41,57,78],"significant":[13],"challenge":[14],"for":[15,143],"existing":[16,115],"retrieval-augmented":[17],"generation-based":[18],"QA":[19,44],"systems,":[20],"as":[21],"these":[22,37],"systems":[23],"struggle":[24],"to":[25,67,139],"retrieve":[26],"and":[27,62,97,106],"then":[28],"synthesize":[29],"large":[31,58],"number":[32],"of":[33,60,127],"evidence":[34],"passages.To":[35],"tackle":[36],"challenges,":[38],"we":[39,76],"propose":[40,77],"new":[42,79],"multi-answer":[43],"framework":[45,55,112,138],"-Retrievalaugmented":[46],"Independent":[47],"Reading":[48],"with":[49,100],"Interpassage":[50],"Verification":[51,90,99],"(RI":[52],"2":[53],"VER).Our":[54],"retrieves":[56],"set":[59],"passages":[61],"processes":[63],"each":[64],"passage":[65],"individually":[66],"generate":[68],"an":[69,122],"initial":[70],"high-recall":[71],"but":[72],"noisy":[73],"answer":[74,87],"set.Then":[75],"inter-passage":[80,101,133],"verification":[81,134],"pipeline":[82,135],"that":[83,110,131],"validates":[84,130],"every":[85],"candidate":[86],"through":[88],"(1)":[89],"Question":[91],"Generation,":[92],"(2)":[93],"Gathering":[94],"Additional":[95],"Evidence,":[96],"(3)":[98],"synthesis.Evaluations":[102],"on":[103],"the":[104],"QAMPARI":[105],"RoMQA":[107],"datasets":[108],"demonstrate":[109],"our":[111,132,137],"significantly":[113],"outperforms":[114],"baselines":[116],"across":[117],"various":[118],"model":[119],"sizes,":[120],"achieving":[121],"average":[123],"F1":[124],"score":[125],"improvement":[126],"11.17%.Further":[128],"analysis":[129],"enables":[136],"be":[140],"particularly":[141],"beneficial":[142],"requiring":[145],"multievidence":[146],"synthesis.":[147],"1":[148]},"counts_by_year":[],"updated_date":"2026-03-11T06:11:40.159057","created_date":"2025-10-10T00:00:00"}
