{"id":"https://openalex.org/W7165365278","doi":"https://doi.org/10.48550/arxiv.2606.19584","title":"Language-Instructed Vision Embeddings for Controllable and Generalizable Perception","display_name":"Language-Instructed Vision Embeddings for Controllable and Generalizable Perception","publication_year":2026,"publication_date":"2026-06-17","ids":{"openalex":"https://openalex.org/W7165365278","doi":"https://doi.org/10.48550/arxiv.2606.19584"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2606.19584","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.19584","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2606.19584","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5061451821","display_name":"Chengzhi Mao","orcid":"https://orcid.org/0009-0008-7791-3891"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mao, Chengzhi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5138978695","display_name":"Xudong Lin","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lin, Xudong","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5077732223","display_name":"Wen-Sheng Chu","orcid":"https://orcid.org/0000-0001-8592-6088"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chu, Wen-Sheng","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":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9542999863624573,"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"}},"topics":[{"id":"https://openalex.org/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9542999863624573,"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":0.017500000074505806,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.004100000020116568,"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/focus","display_name":"Focus (optics)","score":0.6567999720573425},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.6154000163078308},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.6151000261306763},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5734999775886536},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5393999814987183},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.5011000037193298},{"id":"https://openalex.org/keywords/visual-language","display_name":"Visual language","score":0.4726000130176544},{"id":"https://openalex.org/keywords/visual-perception","display_name":"Visual perception","score":0.4523000121116638},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.39500001072883606}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7396000027656555},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.6567999720573425},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6326000094413757},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6154000163078308},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.6151000261306763},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5734999775886536},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5393999814987183},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.5011000037193298},{"id":"https://openalex.org/C2780878386","wikidata":"https://www.wikidata.org/wiki/Q1659648","display_name":"Visual language","level":2,"score":0.4726000130176544},{"id":"https://openalex.org/C178253425","wikidata":"https://www.wikidata.org/wiki/Q162668","display_name":"Visual perception","level":3,"score":0.4523000121116638},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.4124999940395355},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.39500001072883606},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.38769999146461487},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.34439998865127563},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3343999981880188},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.32820001244544983},{"id":"https://openalex.org/C2983448237","wikidata":"https://www.wikidata.org/wiki/Q1078276","display_name":"Language understanding","level":2,"score":0.32350000739097595},{"id":"https://openalex.org/C200220432","wikidata":"https://www.wikidata.org/wiki/Q7936208","display_name":"Vision science","level":2,"score":0.32120001316070557},{"id":"https://openalex.org/C2778251979","wikidata":"https://www.wikidata.org/wiki/Q7936617","display_name":"Visual processing","level":3,"score":0.3165000081062317},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.31040000915527344},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.30649998784065247},{"id":"https://openalex.org/C5339829","wikidata":"https://www.wikidata.org/wiki/Q1425977","display_name":"Machine vision","level":2,"score":0.299699991941452},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.26759999990463257},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.2639000117778778},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.25870001316070557},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.2572000026702881},{"id":"https://openalex.org/C193611912","wikidata":"https://www.wikidata.org/wiki/Q4677596","display_name":"Active vision","level":2,"score":0.2556000053882599}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2606.19584","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.19584","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2606.19584","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.19584","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.7402496933937073}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Vision":[0,47],"foundation":[1],"models":[2,98],"are":[3],"typically":[4],"trained":[5],"as":[6,52],"static":[7],"feature":[8],"extractors,":[9],"placing":[10],"the":[11,41,63,70,79],"burden":[12],"of":[13,26,78,101],"task":[14],"adaptation":[15],"onto":[16],"large":[17],"downstream":[18],"models.":[19],"We":[20],"propose":[21],"an":[22],"alternative":[23],"paradigm:":[24],"instead":[25],"solely":[27],"feeding":[28],"visual":[29,90,106,124],"features":[30],"into":[31],"language":[32,36,51],"models,":[33],"we":[34],"use":[35],"itself":[37],"to":[38,55,72,111],"dynamically":[39],"guide":[40],"vision":[42],"encoder.":[43],"Our":[44],"method,":[45],"Language-Instructed":[46],"Embeddings":[48],"(LIVE),":[49],"leverages":[50],"high-level":[53],"guidance":[54],"produce":[56],"task-centric":[57],"embeddings":[58],"at":[59],"inference":[60],"time,":[61],"removing":[62],"need":[64],"for":[65],"task-specific":[66],"retraining.":[67],"This":[68],"enables":[69],"encoder":[71],"focus":[73],"on":[74,94,105],"contextually":[75],"relevant":[76],"aspects":[77],"input,":[80],"yielding":[81],"more":[82,103],"controllable":[83],"and":[84,109,114],"generalizable":[85],"representations.":[86],"Empirically,":[87],"LIVE":[88],"reduces":[89],"hallucinations":[91],"(+34":[92],"points":[93],"MMVP),":[95],"surpasses":[96],"vision-language":[97],"with":[99],"orders":[100],"magnitude":[102],"parameters":[104],"question":[107],"answering,":[108],"generalizes":[110],"unseen":[112],"instructions":[113],"tasks":[115],"--":[116],"offering":[117],"a":[118],"direct":[119],"path":[120],"toward":[121],"adaptive,":[122],"instruction-driven":[123],"intelligence.":[125]},"counts_by_year":[],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2026-06-20T00:00:00"}