{"id":"https://openalex.org/W4416035226","doi":"https://doi.org/10.18653/v1/2025.findings-emnlp.358","title":"Explaining Length Bias in LLM-Based Preference Evaluations","display_name":"Explaining Length Bias in LLM-Based Preference Evaluations","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4416035226","doi":"https://doi.org/10.18653/v1/2025.findings-emnlp.358"},"language":null,"primary_location":{"id":"doi:10.18653/v1/2025.findings-emnlp.358","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2025.findings-emnlp.358","pdf_url":"https://aclanthology.org/2025.findings-emnlp.358.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.358.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5074692359","display_name":"Zhengyu Hu","orcid":"https://orcid.org/0000-0003-1721-7321"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhengyu Hu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102534987","display_name":"Linxin Song","orcid":"https://orcid.org/0000-0003-2684-2540"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Linxin Song","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017743340","display_name":"Jieyu Zhang","orcid":"https://orcid.org/0000-0002-2827-3487"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jieyu Zhang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029071726","display_name":"Zheyuan Xiao","orcid":"https://orcid.org/0000-0003-0776-4508"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zheyuan Xiao","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Tianfu Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tianfu Wang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101886933","display_name":"Zhengyu Chen","orcid":"https://orcid.org/0009-0003-8892-5699"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhengyu Chen","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053345000","display_name":"Nicholas Jing Yuan","orcid":"https://orcid.org/0009-0006-3971-4176"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Nicholas Jing Yuan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087106517","display_name":"Jianxun Lian","orcid":"https://orcid.org/0000-0003-3108-5601"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jianxun Lian","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044455276","display_name":"Kaize Ding","orcid":"https://orcid.org/0000-0001-6684-6752"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kaize Ding","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5101862104","display_name":"Hui Xiong","orcid":"https://orcid.org/0000-0001-6016-6465"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hui Xiong","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":5.019,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.9595877,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"6763","last_page":"6794"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.26930001378059387,"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":0.26930001378059387,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.12720000743865967,"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":0.06019999831914902,"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/preference","display_name":"Preference","score":0.5824999809265137},{"id":"https://openalex.org/keywords/association","display_name":"Association (psychology)","score":0.47870001196861267},{"id":"https://openalex.org/keywords/affect","display_name":"Affect (linguistics)","score":0.27619999647140503},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.2630000114440918}],"concepts":[{"id":"https://openalex.org/C2781249084","wikidata":"https://www.wikidata.org/wiki/Q908656","display_name":"Preference","level":2,"score":0.5824999809265137},{"id":"https://openalex.org/C142853389","wikidata":"https://www.wikidata.org/wiki/Q744778","display_name":"Association (psychology)","level":2,"score":0.47870001196861267},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.47369998693466187},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3702999949455261},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.36239999532699585},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3221000134944916},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.3127000033855438},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.27720001339912415},{"id":"https://openalex.org/C2776035688","wikidata":"https://www.wikidata.org/wiki/Q1606558","display_name":"Affect (linguistics)","level":2,"score":0.27619999647140503},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.272599995136261},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.2630000114440918},{"id":"https://openalex.org/C162118730","wikidata":"https://www.wikidata.org/wiki/Q1128453","display_name":"Actuarial science","level":1,"score":0.2583000063896179},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.25619998574256897}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/2025.findings-emnlp.358","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2025.findings-emnlp.358","pdf_url":"https://aclanthology.org/2025.findings-emnlp.358.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.358","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2025.findings-emnlp.358","pdf_url":"https://aclanthology.org/2025.findings-emnlp.358.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/G1782397203","display_name":null,"funder_award_id":"92370204","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6130982387","display_name":null,"funder_award_id":"2023B1515120057","funder_id":"https://openalex.org/F4320337111","funder_display_name":"Basic and Applied Basic Research Foundation of Guangdong Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320337111","display_name":"Basic and Applied Basic Research Foundation of Guangdong Province","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4416035226.pdf","grobid_xml":"https://content.openalex.org/works/W4416035226.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Zhengyu":[0,10],"Hu,":[1],"Linxin":[2],"Song,":[3],"Jieyu":[4],"Zhang,":[5],"Zheyuan":[6],"Xiao,":[7],"Tianfu":[8],"Wang,":[9],"Chen,":[11],"Nicholas":[12],"Jing":[13],"Yuan,":[14],"Jianxun":[15],"Lian,":[16],"Kaize":[17],"Ding,":[18],"Hui":[19],"Xiong.":[20],"Findings":[21],"of":[22],"the":[23],"Association":[24],"for":[25],"Computational":[26],"Linguistics:":[27],"EMNLP":[28],"2025.":[29,30]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-11-08T00:00:00"}