{"id":"https://openalex.org/W7126109647","doi":"https://doi.org/10.1109/bibm66473.2025.11356681","title":"A Human-Centered Mutltimodal AutoML Framework for Discriminative and Generative Tasks with Large Language Models","display_name":"A Human-Centered Mutltimodal AutoML Framework for Discriminative and Generative Tasks with Large Language Models","publication_year":2025,"publication_date":"2025-12-15","ids":{"openalex":"https://openalex.org/W7126109647","doi":"https://doi.org/10.1109/bibm66473.2025.11356681"},"language":null,"primary_location":{"id":"doi:10.1109/bibm66473.2025.11356681","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm66473.2025.11356681","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","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/A5100537605","display_name":"Jiayi Guo","orcid":"https://orcid.org/0009-0005-7004-939X"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jiayi Guo","raw_affiliation_strings":["Glasgow College, University of Electronic Science and Technology of China,Chengdu,China"],"affiliations":[{"raw_affiliation_string":"Glasgow College, University of Electronic Science and Technology of China,Chengdu,China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100425605","display_name":"Li Zhang","orcid":"https://orcid.org/0000-0002-5880-8497"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]},{"id":"https://openalex.org/I24201400","display_name":"Chengdu University of Information Technology","ror":"https://ror.org/01yxwrh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I24201400"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liyun Zhang","raw_affiliation_strings":["School of Information Science and Software Enginnering, University of Electronic Science and Technology of China,Chengdu,China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Software Enginnering, University of Electronic Science and Technology of China,Chengdu,China","institution_ids":["https://openalex.org/I150229711","https://openalex.org/I24201400"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5123218918","display_name":"Yiqing Shen","orcid":null},"institutions":[{"id":"https://openalex.org/I145311948","display_name":"Johns Hopkins University","ror":"https://ror.org/00za53h95","country_code":"US","type":"education","lineage":["https://openalex.org/I145311948"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yiqing Shen","raw_affiliation_strings":["Johns Hopkins University,Department of Computer Science,Baltimore,USA"],"affiliations":[{"raw_affiliation_string":"Johns Hopkins University,Department of Computer Science,Baltimore,USA","institution_ids":["https://openalex.org/I145311948"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100537605"],"corresponding_institution_ids":["https://openalex.org/I150229711"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.87424471,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"3614","last_page":"3619"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12535","display_name":"Machine Learning and Data Classification","score":0.2084999978542328,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.2084999978542328,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.11249999701976776,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.08049999922513962,"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/discriminative-model","display_name":"Discriminative model","score":0.8992000222206116},{"id":"https://openalex.org/keywords/interpretability","display_name":"Interpretability","score":0.8501999974250793},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.6983000040054321},{"id":"https://openalex.org/keywords/modalities","display_name":"Modalities","score":0.5153999924659729},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.45570001006126404},{"id":"https://openalex.org/keywords/generative-model","display_name":"Generative model","score":0.4523000121116638},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.4431999921798706}],"concepts":[{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.8992000222206116},{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.8501999974250793},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7145000100135803},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.6983000040054321},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.689300000667572},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5527999997138977},{"id":"https://openalex.org/C2779903281","wikidata":"https://www.wikidata.org/wiki/Q6888026","display_name":"Modalities","level":2,"score":0.5153999924659729},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.45570001006126404},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.4523000121116638},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.4431999921798706},{"id":"https://openalex.org/C115901376","wikidata":"https://www.wikidata.org/wiki/Q184199","display_name":"Automation","level":2,"score":0.3937999904155731},{"id":"https://openalex.org/C2777601683","wikidata":"https://www.wikidata.org/wiki/Q6499736","display_name":"Vocabulary","level":2,"score":0.3910999894142151},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.32739999890327454},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.32510000467300415},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.29739999771118164},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.25290000438690186},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.25060001015663147}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bibm66473.2025.11356681","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm66473.2025.11356681","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.7350795865058899,"display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W2946547492","https://openalex.org/W3045004532","https://openalex.org/W3162922479","https://openalex.org/W3164008977","https://openalex.org/W3179950556","https://openalex.org/W3192682950","https://openalex.org/W4211116959","https://openalex.org/W4213308398","https://openalex.org/W4385245566"],"related_works":[],"abstract_inverted_index":{"Automated":[0],"Machine":[1],"Learning":[2],"(AutoML)":[3],"simplifies":[4],"ML":[5],"pipeline":[6],"development":[7],"but":[8],"most":[9],"existing":[10],"approaches":[11],"focus":[12],"only":[13],"on":[14],"discriminative":[15,42],"tasks,":[16],"neglecting":[17],"generative":[18,47],"models":[19,35,48],"and":[20,46,57,63,68,85,95],"multimodal":[21,28],"applications.":[22],"We":[23],"introduce":[24],"UniAutoML,":[25],"a":[26],"human-centered":[27],"AutoML":[29],"framework":[30],"that":[31],"uses":[32],"large":[33],"language":[34],"(LLMs)":[36],"to":[37],"unify":[38],"automation":[39],"across":[40,82],"both":[41],"(e.g.,":[43,49],"CNNs,":[44],"Transformers)":[45],"diffusion":[50],"models,":[51],"LLMs)":[52],"for":[53],"images,":[54],"audio,":[55],"video,":[56],"text.":[58],"UniAutoML":[59,91],"enables":[60],"natural-language":[61],"interaction":[62],"real-time":[64],"feedback,":[65],"improving":[66],"interpretability":[67],"user":[69,86],"control":[70],"without":[71],"programming":[72],"expertise.":[73],"A":[74],"built-in":[75],"safety":[76],"guardline":[77],"filters":[78],"harmful":[79],"inputs/outputs.":[80],"Experiments":[81],"multiple":[83],"modalities":[84],"studies":[87],"(25":[88],"participants)":[89],"show":[90],"achieves":[92],"superior":[93],"performance":[94],"usability.":[96],"Code:":[97],"https://github.com/richarf22/UniAutoML.":[98]},"counts_by_year":[],"updated_date":"2026-02-01T03:34:12.195049","created_date":"2026-01-30T00:00:00"}
