{"id":"https://openalex.org/W7166818731","doi":"https://doi.org/10.18653/v1/2026.acl-demo.38","title":"mllm-shap: A Shapley Value Explainability Platform for Text-Audio Multimodal Large Language Models","display_name":"mllm-shap: A Shapley Value Explainability Platform for Text-Audio Multimodal Large Language Models","publication_year":2026,"publication_date":"2026-01-01","ids":{"openalex":"https://openalex.org/W7166818731","doi":"https://doi.org/10.18653/v1/2026.acl-demo.38"},"language":null,"primary_location":{"id":"doi:10.18653/v1/2026.acl-demo.38","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2026.acl-demo.38","pdf_url":"https://aclanthology.org/2026.acl-demo.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 64th Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://aclanthology.org/2026.acl-demo.38.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5120380919","display_name":"Jakub Muszy\u0144ski","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jakub Muszy\u0144ski","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5139750086","display_name":"Pawe\u0142 Pozorski","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Pawe\u0142 Pozorski","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5111473577","display_name":"Maria Ganzha","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Maria Ganzha","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":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.80825088,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"387","last_page":"396"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.5613999962806702,"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/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.5613999962806702,"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":0.0851999968290329,"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/T10028","display_name":"Topic Modeling","score":0.08030000329017639,"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/value","display_name":"Value (mathematics)","score":0.49639999866485596},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.2782999873161316},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.2500999867916107},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.24570000171661377},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.24160000681877136}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5845000147819519},{"id":"https://openalex.org/C2776291640","wikidata":"https://www.wikidata.org/wiki/Q2912517","display_name":"Value (mathematics)","level":2,"score":0.49639999866485596},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3995000123977661},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.2782999873161316},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.26649999618530273},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.2500999867916107},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.24570000171661377},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.24160000681877136},{"id":"https://openalex.org/C48677424","wikidata":"https://www.wikidata.org/wiki/Q6888088","display_name":"Mode (computer interface)","level":2,"score":0.2402999997138977},{"id":"https://openalex.org/C199022921","wikidata":"https://www.wikidata.org/wiki/Q240046","display_name":"Shapley value","level":3,"score":0.23729999363422394}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/2026.acl-demo.38","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2026.acl-demo.38","pdf_url":"https://aclanthology.org/2026.acl-demo.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 64th Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations)","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/2026.acl-demo.38","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2026.acl-demo.38","pdf_url":"https://aclanthology.org/2026.acl-demo.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 64th Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations)","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.6449623703956604,"display_name":"Quality Education"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320326815","display_name":"Infrastruktura PL-Grid","ror":null},{"id":"https://openalex.org/F4320335596","display_name":"Wroclawskie Centrum Sieciowo-Superkomputerowe, Politechnika Wroclawska","ror":null},{"id":"https://openalex.org/F4320337160","display_name":"Academic Computer Centre Cyfronet, AGH University of Science and Technology","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7166818731.pdf","grobid_xml":"https://content.openalex.org/works/W7166818731.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"We":[0],"present":[1],"mllm-shap,":[2],"an":[3,121],"open-source":[4],"Python":[5],"platform":[6,94],"for":[7,125,138],"researchers":[8],"and":[9,31,60,76,79,156],"ML":[10],"practitioners":[11],"that":[12,27,53,87,114],"extends":[13],"Shapley":[14],"value":[15],"(SV)":[16],"explainability":[17,142],"from":[18],"text-only":[19,48],"large":[20],"language":[21],"models":[22],"to":[23],"multimodal":[24],"LLMs":[25],"(MLLMs)":[26],"jointly":[28],"process":[29],"text":[30,58],"audio.Building":[32],"on":[33,153],"the":[34,47,55,89,133],"token-level":[35],"SV":[36,103],"framework":[37,137],"introduced":[38],"by":[39,92],"TokenSHAP,":[40],"mllm-shap":[41,131],"addresses":[42],"three":[43],"challenges":[44],"absent":[45],"in":[46],"setting:(1)":[49],"modality-aware":[50],"coalition":[51,90],"masking":[52],"handles":[54],"coexistence":[56],"of":[57,143],"tokens":[59],"dense":[61],"audio":[62,81],"encoder":[63],"frames":[64],"within":[65],"a":[66,97,107,157],"single":[67],"input,":[68],"(2)":[69],"multi-turn":[70],"conversation":[71],"tracking":[72],"with":[73,111,120,149],"per-token":[74],"role":[75],"modality":[77],"metadata,":[78],"(3)":[80],"token":[82],"grouping":[83],"via":[84],"phonetic":[85],"alignment":[86],"reduces":[88],"space":[91],"10-50\u00d7.The":[93],"ships":[95],"as":[96,161],"pip-installable":[98],"package":[99,146],"1":[100],"implementing":[101],"five":[102],"estimation":[104],"strategies":[105],"-including":[106],"Complementary":[108],"Contributions":[109],"estimator":[110],"Neyman-optimal":[112],"allocation":[113],"outperforms":[115],"Monte":[116],"Carlo":[117],"baselines":[118],"-together":[119],"interactive":[122],"web":[123],"GUI":[124],"real-time":[126],"attribution":[127],"visualization.To":[128],"our":[129],"knowledge,":[130],"is":[132,147],"first":[134],"publicly":[135],"available":[136],"complete,":[139],"reproducible":[140],"SV-based":[141],"text-audio":[144],"MLLMs.The":[145],"MIT-licensed":[148],"full":[150],"source":[151],"code":[152],"GitHub":[154],"2,3":[155],"demonstration":[158],"video":[159],"included":[160],"supplementary":[162],"material.":[163]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2026-07-02T00:00:00"}