{"id":"https://openalex.org/W7166814347","doi":"https://doi.org/10.18653/v1/2026.semeval-1.205","title":"YNU-HPCC at SemEval-2026 Task 13: Robust Machine-Generated Code Detection under Distribution Shifts","display_name":"YNU-HPCC at SemEval-2026 Task 13: Robust Machine-Generated Code Detection under Distribution Shifts","publication_year":2026,"publication_date":"2026-01-01","ids":{"openalex":"https://openalex.org/W7166814347","doi":"https://doi.org/10.18653/v1/2026.semeval-1.205"},"language":null,"primary_location":{"id":"doi:10.18653/v1/2026.semeval-1.205","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2026.semeval-1.205","pdf_url":"https://aclanthology.org/2026.semeval-1.205.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-1.205.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5139839684","display_name":"Lixian Xing","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":"Lixian Xing","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":0.80394191,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1582","last_page":"1590"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.25290000438690186,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.25290000438690186,"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/T12380","display_name":"Authorship Attribution and Profiling","score":0.22470000386238098,"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/T13629","display_name":"Text Readability and Simplification","score":0.17569999396800995,"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/task","display_name":"Task (project management)","score":0.4374000132083893},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.4162999987602234},{"id":"https://openalex.org/keywords/distribution","display_name":"Distribution (mathematics)","score":0.3747999966144562},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.3409999907016754},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.30469998717308044},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.2759000062942505}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5728999972343445},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.478300005197525},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4374000132083893},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.4162999987602234},{"id":"https://openalex.org/C110121322","wikidata":"https://www.wikidata.org/wiki/Q865811","display_name":"Distribution (mathematics)","level":2,"score":0.3747999966144562},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3578000068664551},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.3409999907016754},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.30469998717308044},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3005000054836273},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.2759000062942505},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.275299996137619},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.27300000190734863},{"id":"https://openalex.org/C137270730","wikidata":"https://www.wikidata.org/wiki/Q120811","display_name":"Detection theory","level":3,"score":0.25690001249313354},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.25600001215934753}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/2026.semeval-1.205","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2026.semeval-1.205","pdf_url":"https://aclanthology.org/2026.semeval-1.205.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-1.205","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2026.semeval-1.205","pdf_url":"https://aclanthology.org/2026.semeval-1.205.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":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7166814347.pdf","grobid_xml":"https://content.openalex.org/works/W7166814347.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"As":[0],"Large":[1],"Language":[2],"Models":[3],"(LLMs)":[4],"become":[5],"prevalent":[6],"in":[7,139,146,154],"software":[8],"development,":[9],"distinguishing":[10],"machine-generated":[11],"from":[12,95],"humanwritten":[13],"code":[14],"is":[15,89,120],"increasingly":[16],"important.This":[17],"paper":[18],"describes":[19],"the":[20,24,128],"system":[21,132],"developed":[22],"by":[23],"YNU-HPCC":[25],"team":[26],"for":[27],"SemEval-2026":[28],"Task":[29],"13,":[30],"which":[31],"evaluates":[32],"detection":[33],"under":[34],"crosslanguage,":[35],"multi-generator,":[36],"and":[37,50,61,117,149],"hybrid":[38],"settings.Three":[39],"modeling":[40],"paradigms":[41],"are":[42],"systematically":[43],"examined:":[44],"encoder-based":[45],"fine-tuning,":[46,71],"featurebased":[47],"machine":[48],"learning,":[49],"task-specific":[51],"robustness":[52,68],"strategies.For":[53],"Subtask":[54,81,103,140,147,155],"A":[55],"(Binary":[56],"Detection),":[57,106],"frozen":[58],"pre-trained":[59],"encoders":[60],"shallow":[62],"stylometric":[63],"features":[64],"exhibit":[65],"stronger":[66],"crossdomain":[67],"than":[69],"full":[70],"with":[72,113],"indentation":[73],"entropy":[74],"identified":[75],"as":[76],"a":[77,85,107],"key":[78],"discriminative":[79],"signal.For":[80],"B":[82],"(Multi-Class":[83],"Attribution),":[84],"hierarchical":[86],"two-stage":[87],"framework":[88],"adopted":[90],"to":[91,122,127],"decouple":[92],"humanmachine":[93],"discrimination":[94],"fine-grained":[96],"generator":[97],"attribution,":[98],"alleviating":[99],"severe":[100],"class":[101],"imbalance.For":[102],"C":[104],"(Hybrid":[105],"token-level":[108],"splicing":[109],"augmentation":[110],"strategy":[111],"combined":[112],"Supervised":[114],"Contrastive":[115],"Learning":[116],"Focal":[118],"Loss":[119],"employed":[121],"model":[123],"intra-sample":[124],"stylistic":[125],"variation.According":[126],"official":[129],"leaderboard,":[130],"our":[131],"ranked":[133],"12th":[134],"out":[135,143,151],"of":[136,144,152],"81":[137],"teams":[138],"A,":[141],"14th":[142],"34":[145],"B,":[148],"8th":[150],"32":[153],"C.":[156]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2026-07-02T00:00:00"}