{"id":"https://openalex.org/W7140080303","doi":"https://doi.org/10.18653/v1/2026.eacl-short.38","title":"On the Additive Compositionality of Task Vectors in Vision\u2013Language Models","display_name":"On the Additive Compositionality of Task Vectors in Vision\u2013Language Models","publication_year":2026,"publication_date":"2026-01-01","ids":{"openalex":"https://openalex.org/W7140080303","doi":"https://doi.org/10.18653/v1/2026.eacl-short.38"},"language":null,"primary_location":{"id":"doi:10.18653/v1/2026.eacl-short.38","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2026.eacl-short.38","pdf_url":"https://aclanthology.org/2026.eacl-short.38.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics (Volume 2: Short Papers)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://aclanthology.org/2026.eacl-short.38.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5034981004","display_name":"Yuting Shi","orcid":"https://orcid.org/0000-0002-6733-0827"},"institutions":[{"id":"https://openalex.org/I177738480","display_name":"Japan Advanced Institute of Science and Technology","ror":"https://ror.org/03frj4r98","country_code":"JP","type":"education","lineage":["https://openalex.org/I177738480"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yuting Shi","raw_affiliation_strings":["Japan Advanced Institute of Science and Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Japan Advanced Institute of Science and Technology","institution_ids":["https://openalex.org/I177738480"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114831771","display_name":"Houjing Wei","orcid":null},"institutions":[{"id":"https://openalex.org/I177738480","display_name":"Japan Advanced Institute of Science and Technology","ror":"https://ror.org/03frj4r98","country_code":"JP","type":"education","lineage":["https://openalex.org/I177738480"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Houjing Wei","raw_affiliation_strings":["Japan Advanced Institute of Science and Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Japan Advanced Institute of Science and Technology","institution_ids":["https://openalex.org/I177738480"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5130394151","display_name":"Naoya Inoue","orcid":null},"institutions":[{"id":"https://openalex.org/I177738480","display_name":"Japan Advanced Institute of Science and Technology","ror":"https://ror.org/03frj4r98","country_code":"JP","type":"education","lineage":["https://openalex.org/I177738480"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Naoya Inoue","raw_affiliation_strings":["Japan Advanced Institute of Science and Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Japan Advanced Institute of Science and Technology","institution_ids":["https://openalex.org/I177738480"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I177738480"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.30370414,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"513","last_page":"521"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11714","display_name":"Multimodal Machine Learning Applications","score":0.349700003862381,"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":0.349700003862381,"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/T12090","display_name":"Language and cultural evolution","score":0.09380000084638596,"subfield":{"id":"https://openalex.org/subfields/3316","display_name":"Cultural Studies"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.08550000190734863,"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/principle-of-compositionality","display_name":"Principle of compositionality","score":0.5719000101089478},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5454999804496765},{"id":"https://openalex.org/keywords/property","display_name":"Property (philosophy)","score":0.3702000081539154},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.3449000120162964},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.27079999446868896}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6014999747276306},{"id":"https://openalex.org/C121375916","wikidata":"https://www.wikidata.org/wiki/Q936559","display_name":"Principle of compositionality","level":2,"score":0.5719000101089478},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5454999804496765},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47929999232292175},{"id":"https://openalex.org/C189950617","wikidata":"https://www.wikidata.org/wiki/Q937228","display_name":"Property (philosophy)","level":2,"score":0.3702000081539154},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.3449000120162964},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.31349998712539673},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.29820001125335693},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.27079999446868896},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.2694000005722046},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.26649999618530273}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/2026.eacl-short.38","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2026.eacl-short.38","pdf_url":"https://aclanthology.org/2026.eacl-short.38.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics (Volume 2: Short Papers)","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/2026.eacl-short.38","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2026.eacl-short.38","pdf_url":"https://aclanthology.org/2026.eacl-short.38.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics (Volume 2: Short Papers)","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7140080303.pdf","grobid_xml":"https://content.openalex.org/works/W7140080303.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"In-context":[0],"learning":[1],"(ICL)":[2],"in":[3,38,60],"large":[4],"language":[5],"models":[6,44],"(LLMs)":[7],"has":[8],"been":[9],"shown":[10],"to":[11,42],"operate":[12],"through":[13],"task":[14,58,79,92],"vectors-the":[15],"representation":[16],"that":[17,86,112],"summarizes":[18],"the":[19,53,87,98,121],"mapping":[20],"induced":[21],"by":[22,29,96],"in-context":[23,57],"demonstrations":[24],"and":[25,77,110],"can":[26,93],"be":[27,94],"composed":[28],"simple":[30],"arithmetic":[31],"operations.While":[32],"this":[33,48],"phenomenon":[34],"is":[35],"well":[36],"studied":[37],"LLMs,":[39],"its":[40,101],"extension":[41],"visionlanguage":[43],"(VLMs)":[45],"remains":[46],"underexplored.In":[47],"work,":[49],"we":[50,67,105],"systematically":[51],"examine":[52],"additive":[54,113],"compositionality":[55],"of":[56,100,123],"vectors":[59,80,99],"VLMs,":[61],"extracted":[62],"from":[63,81],"textside":[64],"hidden":[65],"representations.Specifically,":[66],"construct":[68],"compositional":[69],"visual":[70],"reasoning":[71],"tasks":[72],"with":[73],"clearly":[74],"defined":[75],"subtasks":[76],"extract":[78],"few-shot":[82],"demonstrations.Empirical":[83],"experiments":[84],"show":[85,111],"vector":[88],"for":[89],"a":[90],"complex":[91],"approximated":[95],"adding":[97],"constituent":[102],"subtasks.Beyond":[103],"this,":[104],"analyze":[106],"token-level":[107],"contextual":[108],"embeddings":[109],"composition":[114],"arises":[115],"because":[116],"complex-task":[117],"representations":[118],"emerge":[119],"as":[120],"superposition":[122],"atomic":[124],"subtask":[125],"components.":[126]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2026-03-24T00:00:00"}