{"id":"https://openalex.org/W4389524014","doi":"https://doi.org/10.18653/v1/2023.nlposs-1.19","title":"Using Captum to Explain Generative Language Models","display_name":"Using Captum to Explain Generative Language Models","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4389524014","doi":"https://doi.org/10.18653/v1/2023.nlposs-1.19"},"language":"en","primary_location":{"id":"doi:10.18653/v1/2023.nlposs-1.19","doi":"https://doi.org/10.18653/v1/2023.nlposs-1.19","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2023.nlposs-1.19","pdf_url":"https://aclanthology.org/2023.nlposs-1.19.pdf","source":{"id":"https://openalex.org/S7407114481","display_name":"Workshop for NLP Open Source Software (NLP-OSS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/P4310320244","host_organization_name":"Association for Computational Linguistics","host_organization_lineage":["https://openalex.org/P4310320244"],"host_organization_lineage_names":["Association for Computational Linguistics"],"type":"conference"},"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 3rd Workshop for Natural Language Processing Open Source Software (NLP-OSS 2023)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://aclanthology.org/2023.nlposs-1.19.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5011510000","display_name":"Vivek Miglani","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Vivek Miglani","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081926091","display_name":"Aobo Yang","orcid":"https://orcid.org/0009-0007-2334-2707","observed_orcids":["https://orcid.org/0009-0007-2334-2707"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Aobo Yang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001344368","display_name":"Aram H Markosyan","orcid":"https://orcid.org/0000-0002-3213-8333","observed_orcids":["https://orcid.org/0000-0002-3213-8333"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Aram Markosyan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061696723","display_name":"Diego Garc\u00eda-Olano","orcid":"https://orcid.org/0000-0003-2143-2892","observed_orcids":["https://orcid.org/0000-0003-2143-2892"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Diego Garcia-Olano","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5079382555","display_name":"Narine Kokhlikyan","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Narine Kokhlikyan","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":5.5537,"has_fulltext":true,"cited_by_count":49,"citation_normalized_percentile":{"value":0.97320009,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":88,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"165","last_page":"173"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":1.0,"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":1.0,"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.0,"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/T10028","display_name":"Topic Modeling","score":0.0,"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/model-explainability","display_name":"model explainability","score":0.8970000147819519},{"id":"https://openalex.org/keywords/generative-language-models","display_name":"generative language models","score":0.9120000004768372},{"id":"https://openalex.org/keywords/interpretability","display_name":"interpretability","score":0.8259999752044678},{"id":"https://openalex.org/keywords/pytorch","display_name":"PyTorch","score":0.8970000147819519},{"id":"https://openalex.org/keywords/learned-associations","display_name":"learned associations","score":0.7900000214576721},{"id":"https://openalex.org/keywords/explainable-ai","display_name":"explainable AI","score":0.5120000243186951}],"concepts":[{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.9152202606201172},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.8477758169174194},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8148361444473267},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6093904376029968},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.5714198350906372},{"id":"https://openalex.org/C2983448237","wikidata":"https://www.wikidata.org/wiki/Q1078276","display_name":"Language understanding","level":2,"score":0.5291951894760132},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.48657548427581787},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.4716426730155945},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.43455198407173157},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.06365850567817688},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.18653/v1/2023.nlposs-1.19","doi":"https://doi.org/10.18653/v1/2023.nlposs-1.19","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2023.nlposs-1.19","pdf_url":"https://aclanthology.org/2023.nlposs-1.19.pdf","source":{"id":"https://openalex.org/S7407114481","display_name":"Workshop for NLP Open Source Software (NLP-OSS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/P4310320244","host_organization_name":"Association for Computational Linguistics","host_organization_lineage":["https://openalex.org/P4310320244"],"host_organization_lineage_names":["Association for Computational Linguistics"],"type":"conference"},"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 3rd Workshop for Natural Language Processing Open Source Software (NLP-OSS 2023)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2312.05491","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2312.05491","pdf_url":"https://arxiv.org/pdf/2312.05491","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,"listed_in":[],"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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.2312.05491","doi":"https://doi.org/10.48550/arxiv.2312.05491","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2312.05491","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,"listed_in":[],"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":"Preprint"}],"best_oa_location":{"id":"doi:10.18653/v1/2023.nlposs-1.19","doi":"https://doi.org/10.18653/v1/2023.nlposs-1.19","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2023.nlposs-1.19","pdf_url":"https://aclanthology.org/2023.nlposs-1.19.pdf","source":{"id":"https://openalex.org/S7407114481","display_name":"Workshop for NLP Open Source Software (NLP-OSS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/P4310320244","host_organization_name":"Association for Computational Linguistics","host_organization_lineage":["https://openalex.org/P4310320244"],"host_organization_lineage_names":["Association for Computational Linguistics"],"type":"conference"},"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 3rd Workshop for Natural Language Processing Open Source Software (NLP-OSS 2023)","raw_type":"proceedings-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4389524014.pdf","grobid_xml":"https://content.openalex.org/works/W4389524014.grobid-xml"},"referenced_works_count":19,"referenced_works":["https://openalex.org/W1787224781","https://openalex.org/W2073231946","https://openalex.org/W2169393322","https://openalex.org/W2594633041","https://openalex.org/W2605409611","https://openalex.org/W2618851150","https://openalex.org/W2891612330","https://openalex.org/W3030163527","https://openalex.org/W3085380432","https://openalex.org/W3087231533","https://openalex.org/W3105604018","https://openalex.org/W3174057701","https://openalex.org/W3174150157","https://openalex.org/W3176390156","https://openalex.org/W4200635941","https://openalex.org/W4226119086","https://openalex.org/W4321649851","https://openalex.org/W4385570354","https://openalex.org/W4385573981"],"related_works":["https://openalex.org/W3085380432","https://openalex.org/W3202537109","https://openalex.org/W4416191647","https://openalex.org/W7114932545","https://openalex.org/W6942214773","https://openalex.org/W4399038319","https://openalex.org/W7168238145","https://openalex.org/W4296634084","https://openalex.org/W7036981126","https://openalex.org/W7126465173"],"abstract_inverted_index":{"Captum":[0,33],"is":[1],"a":[2,11],"comprehensive":[3],"library":[4],"for":[5,60],"model":[6],"explainability":[7],"in":[8,32],"PyTorch,":[9],"offering":[10],"range":[12],"of":[13,23,43,50,57],"methods":[14],"from":[15],"the":[16,41,51],"interpretability":[17],"literature":[18],"to":[19,39],"enhance":[20],"users'":[21],"understanding":[22,61],"PyTorch":[24],"models.In":[25],"this":[26],"paper,":[27],"we":[28],"introduce":[29],"new":[30],"features":[31],"1":[34],"that":[35],"are":[36],"specifically":[37],"designed":[38],"analyze":[40],"behavior":[42],"generative":[44,65],"language":[45,66],"models.We":[46],"provide":[47],"an":[48],"overview":[49],"available":[52],"functionalities":[53],"and":[54],"example":[55],"applications":[56],"their":[58],"potential":[59],"learned":[62],"associations":[63],"within":[64],"models.":[67]},"counts_by_year":[{"year":2026,"cited_by_count":16},{"year":2025,"cited_by_count":22},{"year":2024,"cited_by_count":10},{"year":2023,"cited_by_count":1}],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2023-12-11T00:00:00"}