{"id":"https://openalex.org/W4415897371","doi":"https://doi.org/10.1007/s11432-024-4550-8","title":"Uncertainty-aware large language model response length perception","display_name":"Uncertainty-aware large language model response length perception","publication_year":2025,"publication_date":"2025-11-01","ids":{"openalex":"https://openalex.org/W4415897371","doi":"https://doi.org/10.1007/s11432-024-4550-8"},"language":"en","primary_location":{"id":"doi:10.1007/s11432-024-4550-8","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s11432-024-4550-8","pdf_url":null,"source":{"id":"https://openalex.org/S4210218743","display_name":"Science China Information Sciences","issn_l":"1674-733X","issn":["1674-733X","1869-1919"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Science China Information Sciences","raw_type":"journal-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/A5003001715","display_name":"Bin Shi","orcid":"https://orcid.org/0000-0001-8272-9361"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Bin Shi","raw_affiliation_strings":["School of Computer Science and Technology, Xi\u2019an Jiaotong University, Xi\u2019an, 710049, China","Shaanxi Provincial Key Laboratory of Big Data Knowledge Engineering, Xi\u2019an Jiaotong University, Xi\u2019an, 710049, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Xi\u2019an Jiaotong University, Xi\u2019an, 710049, China","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"Shaanxi Provincial Key Laboratory of Big Data Knowledge Engineering, Xi\u2019an Jiaotong University, Xi\u2019an, 710049, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035080566","display_name":"Bo Dong","orcid":"https://orcid.org/0000-0001-7695-9072"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bo Dong","raw_affiliation_strings":["School of Distance Education, Xi\u2019an Jiaotong University, Xi\u2019an, 710049, China","Shaanxi Provincial Key Laboratory of Big Data Knowledge Engineering, Xi\u2019an Jiaotong University, Xi\u2019an, 710049, China"],"affiliations":[{"raw_affiliation_string":"School of Distance Education, Xi\u2019an Jiaotong University, Xi\u2019an, 710049, China","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"Shaanxi Provincial Key Laboratory of Big Data Knowledge Engineering, Xi\u2019an Jiaotong University, Xi\u2019an, 710049, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5041083459","display_name":"Qinghua Zheng","orcid":"https://orcid.org/0000-0002-8436-4754"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qinghua Zheng","raw_affiliation_strings":["School of Computer Science and Technology, Xi\u2019an Jiaotong University, Xi\u2019an, 710049, China","Shaanxi Provincial Key Laboratory of Big Data Knowledge Engineering, Xi\u2019an Jiaotong University, Xi\u2019an, 710049, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Xi\u2019an Jiaotong University, Xi\u2019an, 710049, China","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"Shaanxi Provincial Key Laboratory of Big Data Knowledge Engineering, Xi\u2019an Jiaotong University, Xi\u2019an, 710049, China","institution_ids":["https://openalex.org/I87445476"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5003001715"],"corresponding_institution_ids":["https://openalex.org/I87445476"],"apc_list":{"value":2390,"currency":"EUR","value_usd":2990},"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.17678529,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"68","issue":"12","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.3499999940395355,"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":0.3499999940395355,"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":0.1673000007867813,"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/T14347","display_name":"Big Data and Digital Economy","score":0.042899999767541885,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/frequentist-inference","display_name":"Frequentist inference","score":0.7038999795913696},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5526999831199646},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5490000247955322},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5382000207901001},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.5246999859809875},{"id":"https://openalex.org/keywords/language-model","display_name":"Language model","score":0.4415999948978424},{"id":"https://openalex.org/keywords/bayesian-inference","display_name":"Bayesian inference","score":0.41519999504089355},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.4041000008583069}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.704800009727478},{"id":"https://openalex.org/C162376815","wikidata":"https://www.wikidata.org/wiki/Q2158281","display_name":"Frequentist inference","level":4,"score":0.7038999795913696},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6489999890327454},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6110000014305115},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5526999831199646},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5490000247955322},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5382000207901001},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.5246999859809875},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.4415999948978424},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.41519999504089355},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.4041000008583069},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.384799987077713},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.36550000309944153},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.3319000005722046},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.313400000333786},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.2782000005245209},{"id":"https://openalex.org/C101112237","wikidata":"https://www.wikidata.org/wiki/Q4874481","display_name":"Bayesian statistics","level":4,"score":0.27410000562667847},{"id":"https://openalex.org/C2983448237","wikidata":"https://www.wikidata.org/wiki/Q1078276","display_name":"Language understanding","level":2,"score":0.2728999853134155},{"id":"https://openalex.org/C196083921","wikidata":"https://www.wikidata.org/wiki/Q7915758","display_name":"Variance (accounting)","level":2,"score":0.2648000121116638},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.2556999921798706},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.2547999918460846},{"id":"https://openalex.org/C19012869","wikidata":"https://www.wikidata.org/wiki/Q578372","display_name":"Response time","level":2,"score":0.25029999017715454},{"id":"https://openalex.org/C207201462","wikidata":"https://www.wikidata.org/wiki/Q182505","display_name":"Bayes' theorem","level":3,"score":0.2500999867916107}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s11432-024-4550-8","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s11432-024-4550-8","pdf_url":null,"source":{"id":"https://openalex.org/S4210218743","display_name":"Science China Information Sciences","issn_l":"1674-733X","issn":["1674-733X","1869-1919"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Science China Information Sciences","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W2025720061","https://openalex.org/W2761028280","https://openalex.org/W2890970784","https://openalex.org/W2981291347","https://openalex.org/W3003262276","https://openalex.org/W3126303737","https://openalex.org/W4241996101","https://openalex.org/W4285226479","https://openalex.org/W4313312731","https://openalex.org/W4323050332","https://openalex.org/W4386709668","https://openalex.org/W4387321091","https://openalex.org/W4391136507"],"related_works":[],"abstract_inverted_index":null,"counts_by_year":[],"updated_date":"2025-11-06T04:12:42.849631","created_date":"2025-11-05T00:00:00"}
