{"id":"https://openalex.org/W4416252242","doi":"https://doi.org/10.1109/ijcnn64981.2025.11227620","title":"DEval: Enhancing Large Language Models\u2019 Decoding with Evaluation for Better Generation","display_name":"DEval: Enhancing Large Language Models\u2019 Decoding with Evaluation for Better Generation","publication_year":2025,"publication_date":"2025-06-30","ids":{"openalex":"https://openalex.org/W4416252242","doi":"https://doi.org/10.1109/ijcnn64981.2025.11227620"},"language":null,"primary_location":{"id":"doi:10.1109/ijcnn64981.2025.11227620","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn64981.2025.11227620","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5037234614","display_name":"Ziqin Luo","orcid":null},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ziqin Luo","raw_affiliation_strings":["Fudan University,Shanghai Key Laboratory of Data Science, School of Data Science,China,200433"],"affiliations":[{"raw_affiliation_string":"Fudan University,Shanghai Key Laboratory of Data Science, School of Data Science,China,200433","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113395937","display_name":"J. Han","orcid":"https://orcid.org/0009-0003-8380-2905"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinyi Han","raw_affiliation_strings":["Fudan University,Shanghai Key Laboratory of Data Science, School of Computer Science,China,200433"],"affiliations":[{"raw_affiliation_string":"Fudan University,Shanghai Key Laboratory of Data Science, School of Computer Science,China,200433","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111174926","display_name":"Haokun Zhao","orcid":"https://orcid.org/0009-0006-5069-8840"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haokun Zhao","raw_affiliation_strings":["Fudan University,Shanghai Key Laboratory of Data Science, School of Computer Science,China,200433"],"affiliations":[{"raw_affiliation_string":"Fudan University,Shanghai Key Laboratory of Data Science, School of Computer Science,China,200433","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010958731","display_name":"Dixuan Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dixuan Wang","raw_affiliation_strings":["Fudan University,Shanghai Key Laboratory of Data Science, School of Data Science,China,200433"],"affiliations":[{"raw_affiliation_string":"Fudan University,Shanghai Key Laboratory of Data Science, School of Data Science,China,200433","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109715043","display_name":"Guochao Jiang","orcid":"https://orcid.org/0009-0002-3415-4473"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guochao Jiang","raw_affiliation_strings":["Fudan University,Shanghai Key Laboratory of Data Science, School of Data Science,China,200433"],"affiliations":[{"raw_affiliation_string":"Fudan University,Shanghai Key Laboratory of Data Science, School of Data Science,China,200433","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075507821","display_name":"Jiaqing Liang","orcid":"https://orcid.org/0000-0003-0670-5602"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiaqing Liang","raw_affiliation_strings":["Fudan University,Shanghai Key Laboratory of Data Science, School of Data Science,China,200433"],"affiliations":[{"raw_affiliation_string":"Fudan University,Shanghai Key Laboratory of Data Science, School of Data Science,China,200433","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046589466","display_name":"Deqing Yang","orcid":"https://orcid.org/0000-0003-1958-7182"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Deqing Yang","raw_affiliation_strings":["Fudan University,Shanghai Key Laboratory of Data Science, School of Data Science,China,200433"],"affiliations":[{"raw_affiliation_string":"Fudan University,Shanghai Key Laboratory of Data Science, School of Data Science,China,200433","institution_ids":["https://openalex.org/I24943067"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5037234614"],"corresponding_institution_ids":["https://openalex.org/I24943067"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.19519527,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"9"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.30630001425743103,"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":0.30630001425743103,"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/T13910","display_name":"Computational and Text Analysis Methods","score":0.11649999767541885,"subfield":{"id":"https://openalex.org/subfields/3300","display_name":"General Social Sciences"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.0835999995470047,"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/decoding-methods","display_name":"Decoding methods","score":0.775600016117096},{"id":"https://openalex.org/keywords/security-token","display_name":"Security token","score":0.6517000198364258},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.5935999751091003},{"id":"https://openalex.org/keywords/chaotic","display_name":"Chaotic","score":0.5108000040054321},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.5095000267028809},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.45010000467300415},{"id":"https://openalex.org/keywords/language-model","display_name":"Language model","score":0.39430001378059387},{"id":"https://openalex.org/keywords/autoregressive-model","display_name":"Autoregressive model","score":0.352400004863739}],"concepts":[{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.775600016117096},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7404000163078308},{"id":"https://openalex.org/C48145219","wikidata":"https://www.wikidata.org/wiki/Q1335365","display_name":"Security token","level":2,"score":0.6517000198364258},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5935999751091003},{"id":"https://openalex.org/C2777052490","wikidata":"https://www.wikidata.org/wiki/Q5072826","display_name":"Chaotic","level":2,"score":0.5108000040054321},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.5095000267028809},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.45010000467300415},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40290001034736633},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.39430001378059387},{"id":"https://openalex.org/C159877910","wikidata":"https://www.wikidata.org/wiki/Q2202883","display_name":"Autoregressive model","level":2,"score":0.352400004863739},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3197999894618988},{"id":"https://openalex.org/C47941915","wikidata":"https://www.wikidata.org/wiki/Q107885","display_name":"Speculation","level":2,"score":0.31940001249313354},{"id":"https://openalex.org/C186644900","wikidata":"https://www.wikidata.org/wiki/Q194152","display_name":"Parsing","level":2,"score":0.30730000138282776},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.29760000109672546},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.2935999929904938},{"id":"https://openalex.org/C60048249","wikidata":"https://www.wikidata.org/wiki/Q37437","display_name":"Syntax","level":2,"score":0.29170000553131104},{"id":"https://openalex.org/C2778562939","wikidata":"https://www.wikidata.org/wiki/Q1298791","display_name":"Synchronization (alternating current)","level":3,"score":0.288100004196167},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.28360000252723694},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.2711000144481659},{"id":"https://openalex.org/C2780992000","wikidata":"https://www.wikidata.org/wiki/Q17016113","display_name":"Generator (circuit theory)","level":3,"score":0.26440000534057617},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.2630999982357025},{"id":"https://openalex.org/C2776187449","wikidata":"https://www.wikidata.org/wiki/Q1513879","display_name":"Natural language generation","level":3,"score":0.2547000050544739}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn64981.2025.11227620","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn64981.2025.11227620","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1714211023","https://openalex.org/W2889787757","https://openalex.org/W2952988558","https://openalex.org/W2988421999","https://openalex.org/W3081168214","https://openalex.org/W3129831491","https://openalex.org/W4385571645","https://openalex.org/W4393147120","https://openalex.org/W4393160208","https://openalex.org/W4401042543","https://openalex.org/W4401043863","https://openalex.org/W4402669926","https://openalex.org/W4402671800","https://openalex.org/W4402672106","https://openalex.org/W4402683901","https://openalex.org/W4404782301","https://openalex.org/W4404783034","https://openalex.org/W4412889881"],"related_works":[],"abstract_inverted_index":{"Existing":[0],"Large":[1],"Language":[2],"Models":[3],"(LLMs)":[4],"generate":[5],"texts":[6,55],"through":[7],"unidirectional":[8],"autoregressive":[9],"decoding":[10,83],"methods":[11,18],"to":[12,14,20,32,42,90,102],"respond":[13],"various":[15,117],"queries.":[16],"These":[17],"tend":[19],"consider":[21],"token":[22,110],"selection":[23,111],"in":[24,46,53],"a":[25,82],"simple":[26],"sequential":[27],"manner,":[28],"making":[29],"it":[30],"easy":[31],"fall":[33],"into":[34,98],"suboptimal":[35],"options":[36],"when":[37],"encountering":[38],"uncertain":[39],"tokens,":[40,69],"referred":[41],"as":[43],"chaotic":[44,50,113],"points":[45,51],"this":[47,77],"paper.":[48],"Many":[49],"exist":[52],"the":[54,64],"generated":[56,68],"by":[57],"LLMs,":[58],"and":[59,96,107,127],"they":[60],"often":[61],"significantly":[62],"affect":[63],"quality":[65],"of":[66],"subsequently":[67],"which":[70],"would":[71],"interfere":[72],"with":[73],"LLMs\u2019":[74,87],"generation.":[75,88],"In":[76],"paper,":[78],"we":[79],"propose":[80],"DEval,":[81],"framework":[84],"for":[85],"enhancing":[86],"Analogous":[89],"human":[91],"decision-making,":[92],"DEval":[93],"integrates":[94],"speculation":[95],"evaluation":[97],"decoding,":[99],"allowing":[100],"LLMs":[101,121],"make":[103],"more":[104,128],"careful":[105],"decisions,":[106],"thus":[108],"optimize":[109],"at":[112,133],"points.":[114],"Experiments":[115],"across":[116],"tasks":[118],"using":[119],"different":[120],"demonstrate":[122],"DEval\u2019s":[123],"effectiveness.":[124],"The":[125],"code":[126],"technical":[129],"details":[130],"are":[131],"available":[132],"our":[134],"repository<sup":[135],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[136],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">1</sup>.":[137]},"counts_by_year":[],"updated_date":"2026-03-07T16:01:11.037858","created_date":"2025-11-14T00:00:00"}