{"id":"https://openalex.org/W7160982219","doi":"https://doi.org/10.48550/arxiv.2605.11572","title":"TB-AVA: Text as a Semantic Bridge for Audio-Visual Parameter Efficient Finetuning","display_name":"TB-AVA: Text as a Semantic Bridge for Audio-Visual Parameter Efficient Finetuning","publication_year":2026,"publication_date":"2026-05-12","ids":{"openalex":"https://openalex.org/W7160982219","doi":"https://doi.org/10.48550/arxiv.2605.11572"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2605.11572","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.11572","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2605.11572","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5136017619","display_name":"Seongah Kim","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kim, Seongah","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136081399","display_name":"Dinh Phu Tran","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tran, Dinh Phu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136062067","display_name":"Hyeontaek Hwang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hwang, Hyeontaek","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079428602","display_name":"Saad Wazir","orcid":"https://orcid.org/0000-0001-9260-1636"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wazir, Saad","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136061135","display_name":"Duc Do Minh","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Minh, Duc Do","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5136022262","display_name":"Daeyoung Kim","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kim, Daeyoung","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":6,"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/T10860","display_name":"Speech and Audio Processing","score":0.8862000107765198,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10860","display_name":"Speech and Audio Processing","score":0.8862000107765198,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11309","display_name":"Music and Audio Processing","score":0.04989999905228615,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10283","display_name":"Hearing Loss and Rehabilitation","score":0.011599999852478504,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/semantic-computing","display_name":"Semantic computing","score":0.5015000104904175},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4934000074863434},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4745999872684479},{"id":"https://openalex.org/keywords/semantic-similarity","display_name":"Semantic similarity","score":0.4307999908924103},{"id":"https://openalex.org/keywords/semantic-gap","display_name":"Semantic gap","score":0.4101000130176544},{"id":"https://openalex.org/keywords/bridge","display_name":"Bridge (graph theory)","score":0.38760000467300415},{"id":"https://openalex.org/keywords/semantic-property","display_name":"Semantic property","score":0.3472999930381775},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.33169999718666077}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8302000164985657},{"id":"https://openalex.org/C511149849","wikidata":"https://www.wikidata.org/wiki/Q7449051","display_name":"Semantic computing","level":3,"score":0.5015000104904175},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4934000074863434},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4745999872684479},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4422999918460846},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4383000135421753},{"id":"https://openalex.org/C130318100","wikidata":"https://www.wikidata.org/wiki/Q2268914","display_name":"Semantic similarity","level":2,"score":0.4307999908924103},{"id":"https://openalex.org/C86034646","wikidata":"https://www.wikidata.org/wiki/Q474311","display_name":"Semantic gap","level":4,"score":0.4101000130176544},{"id":"https://openalex.org/C100776233","wikidata":"https://www.wikidata.org/wiki/Q2532492","display_name":"Bridge (graph theory)","level":2,"score":0.38760000467300415},{"id":"https://openalex.org/C198942812","wikidata":"https://www.wikidata.org/wiki/Q496618","display_name":"Semantic property","level":2,"score":0.3472999930381775},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.33169999718666077},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.3156999945640564},{"id":"https://openalex.org/C90312973","wikidata":"https://www.wikidata.org/wiki/Q7449052","display_name":"Semantic data model","level":2,"score":0.30880001187324524},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.3050999939441681},{"id":"https://openalex.org/C2775955345","wikidata":"https://www.wikidata.org/wiki/Q7449071","display_name":"Semantic mapping","level":2,"score":0.3050000071525574},{"id":"https://openalex.org/C103692084","wikidata":"https://www.wikidata.org/wiki/Q1765824","display_name":"Semantic grid","level":3,"score":0.30239999294281006},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.29440000653266907},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.28929999470710754},{"id":"https://openalex.org/C202708506","wikidata":"https://www.wikidata.org/wiki/Q7449050","display_name":"Semantic compression","level":5,"score":0.2879999876022339},{"id":"https://openalex.org/C2781122975","wikidata":"https://www.wikidata.org/wiki/Q16928266","display_name":"Semantic feature","level":2,"score":0.28360000252723694},{"id":"https://openalex.org/C177284502","wikidata":"https://www.wikidata.org/wiki/Q1005390","display_name":"Adapter (computing)","level":2,"score":0.27720001339912415},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.2727999985218048},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.25529998540878296},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.2531999945640564}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2605.11572","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.11572","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2605.11572","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.11572","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},"sustainable_development_goals":[{"score":0.5826125144958496,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Audio-visual":[0],"understanding":[1],"requires":[2],"effective":[3,110],"alignment":[4],"between":[5,63],"heterogeneous":[6],"modalities,":[7],"yet":[8],"cross-modal":[9],"correspondence":[10],"remains":[11],"challenging":[12],"when":[13],"temporally":[14],"aligned":[15],"audio":[16,49,64],"and":[17,50,65,97],"visual":[18,51,66],"signals":[19],"lack":[20],"clear":[21],"semantic":[22,31,84,111],"correspondence.":[23],"We":[24,86],"propose":[25],"to":[26],"use":[27],"text":[28,107],"as":[29,108],"a":[30,42],"anchor":[32,112],"for":[33,113],"audio-visual":[34,118],"representation":[35],"learning.":[36,119],"To":[37],"this":[38],"end,":[39],"we":[40],"introduce":[41],"parameter-efficient":[43,114],"adaptation":[44],"framework":[45,102],"built":[46],"on":[47,54,82,91],"frozen":[48],"encoders,":[52],"centered":[53],"Text-Bridged":[55],"Audio-Visual":[56],"Adapter":[57],"(TB-AVA),":[58],"which":[59],"enables":[60],"text-mediated":[61],"interaction":[62],"streams.":[67],"At":[68],"the":[69,88,100],"core":[70],"of":[71],"TB-AVA,":[72],"Gated":[73],"Semantic":[74],"Modulation":[75],"(GSM)":[76],"selectively":[77],"modulates":[78],"feature":[79],"channels":[80],"based":[81],"text-inferred":[83],"relevance.":[85],"evaluate":[87],"proposed":[89,101],"approach":[90],"multiple":[92],"benchmarks,":[93],"including":[94],"AVE,":[95],"AVS,":[96],"AVVP,":[98],"where":[99],"achieves":[103],"state-of-the-art":[104],"performance,":[105],"demonstrating":[106],"an":[109],"fine-tuning":[115],"(PEFT)":[116],"in":[117]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2026-05-14T00:00:00"}