{"id":"https://openalex.org/W4416035236","doi":"https://doi.org/10.18653/v1/2025.findings-emnlp.314","title":"MARS-Bench: A Multi-turn Athletic Real-world Scenario Benchmark for Dialogue Evaluation","display_name":"MARS-Bench: A Multi-turn Athletic Real-world Scenario Benchmark for Dialogue Evaluation","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4416035236","doi":"https://doi.org/10.18653/v1/2025.findings-emnlp.314"},"language":null,"primary_location":{"id":"doi:10.18653/v1/2025.findings-emnlp.314","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2025.findings-emnlp.314","pdf_url":"https://aclanthology.org/2025.findings-emnlp.314.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: EMNLP 2025","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://aclanthology.org/2025.findings-emnlp.314.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5110516314","display_name":"Chenghao Yang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chenghao Yang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Yinbo Luo","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yinbo Luo","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020661044","display_name":"Zhoufutu Wen","orcid":"https://orcid.org/0009-0000-0894-5824"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhoufutu Wen","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110999033","display_name":"Qi Chu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Qi Chu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112695481","display_name":"Tao Gong","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tao Gong","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035488767","display_name":"Longxiang Liu","orcid":"https://orcid.org/0000-0003-3867-1910"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Longxiang Liu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100649575","display_name":"Kaiyuan Zhang","orcid":"https://orcid.org/0000-0002-8404-2528"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kaiyuan Zhang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113906958","display_name":"Jianpeng Jiao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jianpeng Jiao","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044203241","display_name":"Ge ZHANG","orcid":"https://orcid.org/0000-0003-4694-5221"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ge Zhang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081760173","display_name":"Wenhao David Huang","orcid":"https://orcid.org/0000-0002-0498-7485"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wenhao Huang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5090634503","display_name":"Nenghai Yu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Nenghai Yu","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":true,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"5872","last_page":"5898"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.4950000047683716,"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":0.4950000047683716,"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/T12031","display_name":"Speech and dialogue systems","score":0.11410000175237656,"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":0.042899999767541885,"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/benchmark","display_name":"Benchmark (surveying)","score":0.5044000148773193},{"id":"https://openalex.org/keywords/association","display_name":"Association (psychology)","score":0.3082999885082245},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.28439998626708984},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.26589998602867126},{"id":"https://openalex.org/keywords/data-association","display_name":"Data association","score":0.2605000138282776}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5601000189781189},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5044000148773193},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38850000500679016},{"id":"https://openalex.org/C142853389","wikidata":"https://www.wikidata.org/wiki/Q744778","display_name":"Association (psychology)","level":2,"score":0.3082999885082245},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.30640000104904175},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.28439998626708984},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.27239999175071716},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.26969999074935913},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.26589998602867126},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.26260000467300415},{"id":"https://openalex.org/C2983325608","wikidata":"https://www.wikidata.org/wiki/Q17084606","display_name":"Data association","level":3,"score":0.2605000138282776},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.25690001249313354},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.25529998540878296}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/2025.findings-emnlp.314","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2025.findings-emnlp.314","pdf_url":"https://aclanthology.org/2025.findings-emnlp.314.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: EMNLP 2025","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/2025.findings-emnlp.314","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2025.findings-emnlp.314","pdf_url":"https://aclanthology.org/2025.findings-emnlp.314.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: EMNLP 2025","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G30612351","display_name":null,"funder_award_id":"62472396","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3828173677","display_name":null,"funder_award_id":"62121002","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/W4416035236.pdf","grobid_xml":"https://content.openalex.org/works/W4416035236.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Chenghao":[0],"Yang,":[1],"Yinbo":[2],"Luo,":[3],"Zhoufutu":[4],"Wen,":[5],"Qi":[6],"Chu,":[7],"Tao":[8],"Gong,":[9],"Longxiang":[10],"Liu,":[11],"Kaiyuan":[12],"Zhang,":[13,17],"Jianpeng":[14],"Jiao,":[15],"Ge":[16],"Wenhao":[18],"Huang,":[19],"Nenghai":[20],"Yu.":[21],"Findings":[22],"of":[23],"the":[24],"Association":[25],"for":[26],"Computational":[27],"Linguistics:":[28],"EMNLP":[29],"2025.":[30,31]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-11-08T00:00:00"}
