{"id":"https://openalex.org/W4415536808","doi":"https://doi.org/10.1145/3746027.3755441","title":"Text2Weight: Bridging Natural Language and Neural Network Weight Spaces","display_name":"Text2Weight: Bridging Natural Language and Neural Network Weight Spaces","publication_year":2025,"publication_date":"2025-10-25","ids":{"openalex":"https://openalex.org/W4415536808","doi":"https://doi.org/10.1145/3746027.3755441"},"language":null,"primary_location":{"id":"doi:10.1145/3746027.3755441","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3746027.3755441","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 33rd ACM International Conference on Multimedia","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/A5033649629","display_name":"Bowen Tian","orcid":"https://orcid.org/0009-0000-8061-8836"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]},{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["CN","HK"],"is_corresponding":true,"raw_author_name":"Bowen Tian","raw_affiliation_strings":["Deep Interdisciplinary Intelligence Lab, The Hong Kong University of Science and Technology (Guangzhou), Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"Deep Interdisciplinary Intelligence Lab, The Hong Kong University of Science and Technology (Guangzhou), Guangzhou, China","institution_ids":["https://openalex.org/I90610280","https://openalex.org/I889458895"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013569204","display_name":"Wenshuo Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]},{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN","HK"],"is_corresponding":false,"raw_author_name":"Wenshuo Chen","raw_affiliation_strings":["Deep Interdisciplinary Intelligence Lab, The Hong Kong University of Science and Technology (Guangzhou), Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"Deep Interdisciplinary Intelligence Lab, The Hong Kong University of Science and Technology (Guangzhou), Guangzhou, China","institution_ids":["https://openalex.org/I90610280","https://openalex.org/I889458895"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031648019","display_name":"Zexi Li","orcid":null},"institutions":[{"id":"https://openalex.org/I241749","display_name":"University of Cambridge","ror":"https://ror.org/013meh722","country_code":"GB","type":"education","lineage":["https://openalex.org/I241749"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Zexi Li","raw_affiliation_strings":["The University of Cambridge, Cambridge, United Kingdom and Zhejiang University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"The University of Cambridge, Cambridge, United Kingdom and Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I241749"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086484127","display_name":"Songning Lai","orcid":"https://orcid.org/0009-0007-3132-9414"},"institutions":[{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]},{"id":"https://openalex.org/I4210113068","display_name":"Peer Intelligence Technology (China)","ror":"https://ror.org/0252z0n87","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210113068"]}],"countries":["CN","HK"],"is_corresponding":false,"raw_author_name":"Songning Lai","raw_affiliation_strings":["Deep Interdisciplinary Intelligence Lab, The Hong Kong University of Science and Technology, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"Deep Interdisciplinary Intelligence Lab, The Hong Kong University of Science and Technology, Guangzhou, China","institution_ids":["https://openalex.org/I4210113068","https://openalex.org/I889458895"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031602997","display_name":"Jiemin Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]},{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["CN","HK"],"is_corresponding":false,"raw_author_name":"Jiemin Wu","raw_affiliation_strings":["Deep Interdisciplinary Intelligence Lab, The Hong Kong University of Science and Technology (Guangzhou), Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"Deep Interdisciplinary Intelligence Lab, The Hong Kong University of Science and Technology (Guangzhou), Guangzhou, China","institution_ids":["https://openalex.org/I90610280","https://openalex.org/I889458895"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5052861384","display_name":"Yutao Yue","orcid":"https://orcid.org/0000-0003-4532-0924"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]},{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["CN","HK"],"is_corresponding":false,"raw_author_name":"Yutao Yue","raw_affiliation_strings":["Thrust of Artificial Intelligence and Thrust of Intelligent Transportation, The Hong Kong University of Science and Technology (Guangzhou), Guangzhou, China and Institute of Deep Perception Technology, Jiangsu Industrial Technology Research Institute, Wuxi, China"],"affiliations":[{"raw_affiliation_string":"Thrust of Artificial Intelligence and Thrust of Intelligent Transportation, The Hong Kong University of Science and Technology (Guangzhou), Guangzhou, China and Institute of Deep Perception Technology, Jiangsu Industrial Technology Research Institute, Wuxi, China","institution_ids":["https://openalex.org/I90610280","https://openalex.org/I889458895"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5033649629"],"corresponding_institution_ids":["https://openalex.org/I889458895","https://openalex.org/I90610280"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.17043445,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"10152","last_page":"10160"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9995999932289124,"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":0.9995999932289124,"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":0.9986000061035156,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9976000189781189,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/bridging","display_name":"Bridging (networking)","score":0.7128999829292297},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6486999988555908},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.5767999887466431},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.5152999758720398},{"id":"https://openalex.org/keywords/language-model","display_name":"Language model","score":0.5135999917984009},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.5103999972343445},{"id":"https://openalex.org/keywords/natural-language","display_name":"Natural language","score":0.49880000948905945},{"id":"https://openalex.org/keywords/initialization","display_name":"Initialization","score":0.48899999260902405}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7674999833106995},{"id":"https://openalex.org/C174348530","wikidata":"https://www.wikidata.org/wiki/Q188635","display_name":"Bridging (networking)","level":2,"score":0.7128999829292297},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6486999988555908},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6414999961853027},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.5767999887466431},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.5152999758720398},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.5135999917984009},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.5103999972343445},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.49880000948905945},{"id":"https://openalex.org/C114466953","wikidata":"https://www.wikidata.org/wiki/Q6034165","display_name":"Initialization","level":2,"score":0.48899999260902405},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.46160000562667847},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.3779999911785126},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3483999967575073},{"id":"https://openalex.org/C2988773926","wikidata":"https://www.wikidata.org/wiki/Q25104379","display_name":"Generative adversarial network","level":3,"score":0.3402000069618225},{"id":"https://openalex.org/C2779439875","wikidata":"https://www.wikidata.org/wiki/Q1078276","display_name":"Natural language understanding","level":3,"score":0.33739998936653137},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.31679999828338623},{"id":"https://openalex.org/C94124525","wikidata":"https://www.wikidata.org/wiki/Q912550","display_name":"Categorization","level":2,"score":0.3009999990463257},{"id":"https://openalex.org/C2776459999","wikidata":"https://www.wikidata.org/wiki/Q2119376","display_name":"Fidelity","level":2,"score":0.2955000102519989},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.2897000014781952},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.2712000012397766},{"id":"https://openalex.org/C170858558","wikidata":"https://www.wikidata.org/wiki/Q1394144","display_name":"Automatic summarization","level":2,"score":0.2612000107765198},{"id":"https://openalex.org/C2776187449","wikidata":"https://www.wikidata.org/wiki/Q1513879","display_name":"Natural language generation","level":3,"score":0.2526000142097473}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3746027.3755441","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3746027.3755441","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 33rd ACM International Conference on Multimedia","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W1677182931","https://openalex.org/W2194775991","https://openalex.org/W2962858109","https://openalex.org/W4312933868","https://openalex.org/W4381786045","https://openalex.org/W4390872297"],"related_works":[],"abstract_inverted_index":{"How":[0],"far":[1],"are":[2],"we":[3,32],"really":[4],"from":[5,59],"automatically":[6],"generating":[7],"neural":[8,11,130],"networks?":[9],"While":[10],"network":[12,51,131],"weight":[13,101],"generation":[14],"shows":[15],"promise,":[16],"current":[17],"approaches":[18],"struggle":[19],"with":[20,70,112],"generalization":[21],"to":[22,73,85],"unseen":[23,90],"tasks":[24],"and":[25,66,80,95,103],"practical":[26],"application":[27],"exploration.":[28],"To":[29],"address":[30],"this,":[31],"propose":[33],"T2W,":[34],"a":[35,62],"diffusion":[36],"transformer":[37],"framework":[38],"that":[39],"generates":[40],"task-specific":[41],"weights":[42,88],"conditioned":[43],"on":[44,77,138],"natural":[45],"language":[46],"descriptions.":[47],"T2W":[48],"hierarchically":[49],"processes":[50],"parameters":[52],"into":[53],"uniform":[54],"blocks,":[55],"integrates":[56],"text":[57],"embeddings":[58],"CLIP":[60],"via":[61],"prior":[63],"attention":[64],"mechanism,":[65],"employs":[67],"adversarial":[68],"training":[69],"weight-space":[71,113],"augmentation":[72],"enhance":[74],"generalization.":[75],"Experiments":[76],"Cifar100,":[78],"Caltech256,":[79],"TinyImageNet":[81],"demonstrate":[82],"T2W's":[83],"ability":[84],"produce":[86],"high-quality":[87],"for":[89],"tasks,":[91],"outperforming":[92],"optimization-based":[93],"initialization":[94],"enabling":[96],"novel":[97],"applications":[98],"such":[99],"as":[100],"enhancement":[102],"text-guided":[104],"model":[105],"fusion.":[106],"Our":[107,134],"work":[108],"bridges":[109],"textual":[110],"semantics":[111],"dynamics,":[114],"supported":[115],"by":[116],"an":[117],"open-source":[118],"dataset":[119],"of":[120,126],"text-weight":[121],"pairs,":[122],"advancing":[123],"the":[124],"practicality":[125],"generative":[127],"models":[128],"in":[129],"parameter":[132],"synthesis.":[133],"code":[135],"is":[136],"available":[137],"https://github.com/TianSuya/T2W.":[139]},"counts_by_year":[],"updated_date":"2026-03-07T16:01:11.037858","created_date":"2025-10-25T00:00:00"}
