{"id":"https://openalex.org/W7166850643","doi":"https://doi.org/10.18653/v1/2026.semeval-1.30","title":"YNU-HPCC at SemEval-2026 Task 12: Retrieval-Guided Reasoning with Teacher Distillation for Abductive Event Reasoning","display_name":"YNU-HPCC at SemEval-2026 Task 12: Retrieval-Guided Reasoning with Teacher Distillation for Abductive Event Reasoning","publication_year":2026,"publication_date":"2026-01-01","ids":{"openalex":"https://openalex.org/W7166850643","doi":"https://doi.org/10.18653/v1/2026.semeval-1.30"},"language":null,"primary_location":{"id":"doi:10.18653/v1/2026.semeval-1.30","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2026.semeval-1.30","pdf_url":"https://aclanthology.org/2026.semeval-1.30.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-1.30.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5139808811","display_name":"Yuwei Sun","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":"Yuwei Sun","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":"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":0.84019577,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"206","last_page":"212"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.2973000109195709,"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":0.2973000109195709,"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/T11902","display_name":"Intelligent Tutoring Systems and Adaptive Learning","score":0.11699999868869781,"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":0.08810000121593475,"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":0.6625000238418579},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.5784000158309937},{"id":"https://openalex.org/keywords/abductive-reasoning","display_name":"Abductive reasoning","score":0.460999995470047},{"id":"https://openalex.org/keywords/case-based-reasoning","display_name":"Case-based reasoning","score":0.3652999997138977},{"id":"https://openalex.org/keywords/qualitative-reasoning","display_name":"Qualitative reasoning","score":0.3181999921798706},{"id":"https://openalex.org/keywords/automated-reasoning","display_name":"Automated reasoning","score":0.3127000033855438},{"id":"https://openalex.org/keywords/model-based-reasoning","display_name":"Model-based reasoning","score":0.30799999833106995}],"concepts":[{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6625000238418579},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6118999719619751},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.5784000158309937},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.512499988079071},{"id":"https://openalex.org/C166088908","wikidata":"https://www.wikidata.org/wiki/Q308495","display_name":"Abductive reasoning","level":2,"score":0.460999995470047},{"id":"https://openalex.org/C20162079","wikidata":"https://www.wikidata.org/wiki/Q1151406","display_name":"Case-based reasoning","level":2,"score":0.3652999997138977},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.31850001215934753},{"id":"https://openalex.org/C83725634","wikidata":"https://www.wikidata.org/wiki/Q7268699","display_name":"Qualitative reasoning","level":2,"score":0.3181999921798706},{"id":"https://openalex.org/C195344581","wikidata":"https://www.wikidata.org/wiki/Q2555318","display_name":"Automated reasoning","level":2,"score":0.3127000033855438},{"id":"https://openalex.org/C37335422","wikidata":"https://www.wikidata.org/wiki/Q6888134","display_name":"Model-based reasoning","level":3,"score":0.30799999833106995},{"id":"https://openalex.org/C97364631","wikidata":"https://www.wikidata.org/wiki/Q484284","display_name":"Deductive reasoning","level":2,"score":0.29809999465942383},{"id":"https://openalex.org/C43971567","wikidata":"https://www.wikidata.org/wiki/Q3142865","display_name":"Logical reasoning","level":2,"score":0.29750001430511475},{"id":"https://openalex.org/C159032336","wikidata":"https://www.wikidata.org/wiki/Q2488768","display_name":"Non-monotonic logic","level":2,"score":0.2969000041484833},{"id":"https://openalex.org/C204030448","wikidata":"https://www.wikidata.org/wiki/Q101017","display_name":"Distillation","level":2,"score":0.29600000381469727},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.2865000069141388},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.2856000065803528},{"id":"https://openalex.org/C89288958","wikidata":"https://www.wikidata.org/wiki/Q7301504","display_name":"Reasoning system","level":2,"score":0.2615000009536743}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/2026.semeval-1.30","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2026.semeval-1.30","pdf_url":"https://aclanthology.org/2026.semeval-1.30.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-1.30","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2026.semeval-1.30","pdf_url":"https://aclanthology.org/2026.semeval-1.30.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":[{"score":0.5193997621536255,"id":"https://metadata.un.org/sdg/5","display_name":"Gender equality"}],"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":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7166850643.pdf","grobid_xml":"https://content.openalex.org/works/W7166850643.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"This":[0],"paper":[1,50],"describes":[2],"the":[3,19,120],"YNU-HPCC":[4],"system":[5,106],"for":[6,26],"SemEval-2026":[7],"Task":[8],"12,":[9],"Abductive":[10],"Event":[11],"Reasoning":[12],"(AER).Given":[13],"multi-document":[14],"retrieved":[15],"evidence":[16,41,62],"with":[17,60,93],"distractors,":[18],"task":[20],"requires":[21],"selecting":[22],"all":[23],"direct-cause":[24],"options":[25],"a":[27,46,52,57,90],"target":[28],"event":[29],"and":[30,39,45,72,76,96,103,118],"outputting":[31],"an":[32,108],"answer":[33],"set.The":[34],"main":[35],"challenges":[36],"are":[37,65],"sparse":[38],"dispersed":[40],"in":[42],"long":[43],"documents":[44,64],"boundarysensitive":[47],"set-level":[48],"evaluation.This":[49],"proposes":[51],"two-stage":[53],"framework.Stage":[54],"1":[55],"trains":[56],"DeBERTa-v3-base":[58],"student":[59],"retrievalguided":[61],"modeling:":[63],"split":[66],"into":[67,82],"overlapping":[68],"windows,":[69,75],"BM25":[70],"ranks":[71],"filters":[73],"candidate":[74],"Top-K":[77],"pooling":[78],"aggregates":[79],"window-level":[80],"scores":[81],"option":[83],"probabilities.Stage":[84],"2":[85],"distills":[86],"soft":[87],"targets":[88],"from":[89,123],"Qwen-14B":[91],"teacher":[92],"temperature":[94],"scaling":[95],"high-confidence":[97],"filtering":[98],"to":[99,125],"reduce":[100],"pseudolabel":[101],"noise":[102],"improve":[104],"generalization.The":[105],"achieves":[107],"official":[109],"dev":[110],"score":[111,122],"of":[112,130],"0.9712":[113],"(micro-F1":[114],"0.9746,":[115],"macro-F1":[116],"0.9745)":[117],"improves":[119],"test":[121],"0.46":[124],"0.73,":[126],"ranking":[127],"84th":[128],"out":[129],"221":[131],"submissions.":[132]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2026-07-02T00:00:00"}
