{"id":"https://openalex.org/W7166822316","doi":"https://doi.org/10.18653/v1/2026.semeval-1.130","title":"YNU-HPCC at SemEval-2026 Task 8: Parallel Generation and Multi-Metric Reranking for Faithful Extractive RAG","display_name":"YNU-HPCC at SemEval-2026 Task 8: Parallel Generation and Multi-Metric Reranking for Faithful Extractive RAG","publication_year":2026,"publication_date":"2026-01-01","ids":{"openalex":"https://openalex.org/W7166822316","doi":"https://doi.org/10.18653/v1/2026.semeval-1.130"},"language":null,"primary_location":{"id":"doi:10.18653/v1/2026.semeval-1.130","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2026.semeval-1.130","pdf_url":"https://aclanthology.org/2026.semeval-1.130.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 20th International Workshop on Semantic Evaluation (2026)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://aclanthology.org/2026.semeval-1.130.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5139774110","display_name":"Bo Li","orcid":null},"institutions":[{"id":"https://openalex.org/I189210763","display_name":"Yunnan University","ror":"https://ror.org/0040axw97","country_code":"CN","type":"education","lineage":["https://openalex.org/I189210763"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bo Li","raw_affiliation_strings":["School of Information Science and Engineering Yunnan University Kunming , China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering Yunnan University Kunming , China","institution_ids":["https://openalex.org/I189210763"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5139769481","display_name":"You Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I189210763","display_name":"Yunnan University","ror":"https://ror.org/0040axw97","country_code":"CN","type":"education","lineage":["https://openalex.org/I189210763"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"You Zhang","raw_affiliation_strings":["School of Information Science and Engineering Yunnan University Kunming , China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering Yunnan University Kunming , China","institution_ids":["https://openalex.org/I189210763"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5139752651","display_name":"Jin Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I189210763","display_name":"Yunnan University","ror":"https://ror.org/0040axw97","country_code":"CN","type":"education","lineage":["https://openalex.org/I189210763"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jin Wang","raw_affiliation_strings":["School of Information Science and Engineering Yunnan University Kunming , China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering Yunnan University Kunming , China","institution_ids":["https://openalex.org/I189210763"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5139785672","display_name":"Dan Xu","orcid":null},"institutions":[{"id":"https://openalex.org/I189210763","display_name":"Yunnan University","ror":"https://ror.org/0040axw97","country_code":"CN","type":"education","lineage":["https://openalex.org/I189210763"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dan Xu","raw_affiliation_strings":["School of Information Science and Engineering Yunnan University Kunming , China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering Yunnan University Kunming , China","institution_ids":["https://openalex.org/I189210763"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5139793836","display_name":"Xuejie Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I189210763","display_name":"Yunnan University","ror":"https://ror.org/0040axw97","country_code":"CN","type":"education","lineage":["https://openalex.org/I189210763"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuejie Zhang","raw_affiliation_strings":["School of Information Science and Engineering Yunnan University Kunming , China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering Yunnan University Kunming , China","institution_ids":["https://openalex.org/I189210763"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I189210763"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.81173529,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"943","last_page":"949"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.15240000188350677,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.15240000188350677,"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/T10028","display_name":"Topic Modeling","score":0.10909999907016754,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.0803999975323677,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6452000141143799},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.2825999855995178},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.26159998774528503},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.2563000023365021},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.2393999993801117}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7073000073432922},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6452000141143799},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4885999858379364},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.37369999289512634},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.2825999855995178},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.26159998774528503},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.25920000672340393},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.2563000023365021},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.2393999993801117},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.23659999668598175}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/2026.semeval-1.130","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2026.semeval-1.130","pdf_url":"https://aclanthology.org/2026.semeval-1.130.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 20th International Workshop on Semantic Evaluation (2026)","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/2026.semeval-1.130","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2026.semeval-1.130","pdf_url":"https://aclanthology.org/2026.semeval-1.130.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 20th International Workshop on Semantic Evaluation (2026)","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3061438829","display_name":"\u57fa\u4e8e\u591a\u7ef4\u5ea6\u8fde\u7eed\u60c5\u611f\u7a7a\u95f4\u7684\u6587\u672c\u751f\u6210\u6280\u672f\u7814\u7a76","funder_award_id":"61966038","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5917579187","display_name":null,"funder_award_id":"62266051","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/W7166822316.pdf","grobid_xml":"https://content.openalex.org/works/W7166822316.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"This":[0],"paper":[1,141],"presents":[2],"our":[3,120,129],"approach":[4,130],"for":[5],"the":[6,112,117,132,136,140],"SemEval-2026":[7],"Task":[8],"8:":[9],"MTRAGEval":[10],"(Subtask":[11],"B:":[12],"Answer":[13],"Generation),":[14],"which":[15,78],"challenges":[16],"systems":[17,54],"to":[18,23,46,80,126],"generate":[19,56],"faithful,":[20],"extractive":[21],"answers":[22],"multi-turn":[24],"questions":[25],"based":[26],"strictly":[27],"on":[28,72,111],"provided":[29],"gold-standard":[30],"reference":[31],"passages.The":[32],"primary":[33],"scientific":[34],"challenge":[35],"lies":[36],"in":[37,61,135],"maintaining":[38],"high":[39],"faithfulness":[40],"and":[41,63,86,101],"structural":[42],"consistency":[43],"while":[44],"adapting":[45],"diverse":[47],"answer":[48],"styles":[49],"across":[50],"a":[51,97,106],"conversation,":[52],"as":[53],"must":[55],"responses":[57],"that":[58],"vary":[59],"significantly":[60],"length":[62],"format":[64],"without":[65],"hallucinating.Conventional":[66],"reference-based":[67],"generation":[68,90],"methods":[69],"often":[70],"rely":[71],"static":[73],"prompting":[74],"or":[75],"greedy":[76],"decoding,":[77],"fail":[79],"capture":[81],"these":[82,93],"dynamic":[83],"stylistic":[84],"requirements":[85],"lack":[87],"robustness":[88],"against":[89],"noise.To":[91],"address":[92],"limitations,":[94],"we":[95],"propose":[96],"Intent-Aware":[98],"Parallel":[99],"Generation":[100],"Reranking":[102],"System":[103],"powered":[104],"by":[105],"large":[107],"language":[108],"model.Experimental":[109],"results":[110],"official":[113],"test":[114],"set":[115],"demonstrate":[116],"effectiveness":[118],"of":[119,139],"method,":[121],"achieving":[122],"competitive":[123],"performance":[124],"comparable":[125],"SoTA":[127],"baselines.Ultimately,":[128],"secured":[131],"third":[133],"place":[134],"competition.The":[137],"code":[138],"is":[142],"available":[143],"at:":[144]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2026-07-02T00:00:00"}
