{"id":"https://openalex.org/W3202537109","doi":null,"title":"Interactively Generating Explanations for Transformer Language Models.","display_name":"Interactively Generating Explanations for Transformer Language Models.","publication_year":2021,"publication_date":"2021-09-02","ids":{"openalex":"https://openalex.org/W3202537109","mag":"3202537109"},"language":"en","primary_location":{"id":"mag:3202537109","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/pdf/2110.02058.pdf","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},"volume":null,"type":"preprint","is_traditional":true,"indexed_in":[],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://arxiv.org/pdf/2110.02058.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5017166414","display_name":"Patrick Schramowski","orcid":"https://orcid.org/0000-0003-1231-7120","observed_orcids":["https://orcid.org/0000-0003-1231-7120"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Patrick Schramowski","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0003-1231-7120","affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Felix Friedrich","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Felix Friedrich","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010748686","display_name":"Christopher Tauchmann","orcid":"https://orcid.org/0000-0002-7848-061X","observed_orcids":["https://orcid.org/0000-0002-7848-061X"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Christopher Tauchmann","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5037636074","display_name":"Kristian Kersting","orcid":"https://orcid.org/0000-0002-2873-9152","observed_orcids":["https://orcid.org/0000-0002-2873-9152"]},"institutions":[{"id":"https://openalex.org/I31512782","display_name":"Technische Universit\u00e4t Darmstadt","ror":"https://ror.org/05n911h24","country_code":"DE","type":"education","lineage":["https://openalex.org/I31512782"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Kristian Kersting","raw_affiliation_strings":["Technische Universit\u00e4t Darmstadt,"],"raw_orcid":"https://orcid.org/0000-0002-2873-9152","affiliations":[{"raw_affiliation_string":"Technische Universit\u00e4t Darmstadt,","institution_ids":["https://openalex.org/I31512782"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"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/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/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"}},{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","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/transformer-based-language-models","display_name":"transformer language models","score":0.8009999990463257},{"id":"https://openalex.org/keywords/interactive-explanations","display_name":"interactive explanations","score":0.5370000004768372},{"id":"https://openalex.org/keywords/prototypical-networks","display_name":"prototypical networks","score":0.6830000281333923},{"id":"https://openalex.org/keywords/model-interpretability","display_name":"model interpretability","score":0.7440000176429749},{"id":"https://openalex.org/keywords/explainable-ai","display_name":"explainable AI","score":0.7760000228881836},{"id":"https://openalex.org/keywords/black-box-modeling","display_name":"black-box models","score":0.7059999704360962},{"id":"https://openalex.org/keywords/human-in-the-loop-machine-learning","display_name":"human-in-the-loop learning","score":0.7170000076293945},{"id":"https://openalex.org/keywords/user-interaction","display_name":"user interaction","score":0.4569999873638153}],"concepts":[{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.8931790590286255},{"id":"https://openalex.org/C97256817","wikidata":"https://www.wikidata.org/wiki/Q1462316","display_name":"Spurious relationship","level":2,"score":0.8029136061668396},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7374937534332275},{"id":"https://openalex.org/C2780565519","wikidata":"https://www.wikidata.org/wiki/Q1208937","display_name":"Multitude","level":2,"score":0.6880401372909546},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.6753057241439819},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.5879426002502441},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.5687919855117798},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.539242684841156},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.46617913246154785},{"id":"https://openalex.org/C188147891","wikidata":"https://www.wikidata.org/wiki/Q147638","display_name":"Cognitive science","level":1,"score":0.4365249276161194},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4312096834182739},{"id":"https://openalex.org/C2983448237","wikidata":"https://www.wikidata.org/wiki/Q1078276","display_name":"Language understanding","level":2,"score":0.4130297005176544},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.40390366315841675},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.39806225895881653},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.217218816280365},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10761812329292297},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.09752553701400757},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.09018659591674805},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"mag:3202537109","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/pdf/2110.02058.pdf","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null}],"best_oa_location":{"id":"mag:3202537109","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/pdf/2110.02058.pdf","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W1532325895","https://openalex.org/W2050482109","https://openalex.org/W2166706824","https://openalex.org/W2282821441","https://openalex.org/W2594633041","https://openalex.org/W2595017202","https://openalex.org/W2597603852","https://openalex.org/W2626639386","https://openalex.org/W2765813195","https://openalex.org/W2906152891","https://openalex.org/W2934463783","https://openalex.org/W2934842096","https://openalex.org/W2946794439","https://openalex.org/W2954471638","https://openalex.org/W2958514452","https://openalex.org/W2963341956","https://openalex.org/W2964256412","https://openalex.org/W2968210605","https://openalex.org/W2970820321","https://openalex.org/W2971048680","https://openalex.org/W2971569798","https://openalex.org/W2978017171","https://openalex.org/W2988346595","https://openalex.org/W3032150215","https://openalex.org/W3034475796","https://openalex.org/W3035989815","https://openalex.org/W3101155149","https://openalex.org/W3101662419","https://openalex.org/W3108007727","https://openalex.org/W3117576675","https://openalex.org/W3133702157","https://openalex.org/W3135367836","https://openalex.org/W3157894658","https://openalex.org/W3165941178","https://openalex.org/W3213750647"],"related_works":["https://openalex.org/W4296634084","https://openalex.org/W7128824657","https://openalex.org/W7204480678","https://openalex.org/W7126465173","https://openalex.org/W4399038319","https://openalex.org/W4416191647","https://openalex.org/W3176390156","https://openalex.org/W7166819489","https://openalex.org/W7166568670","https://openalex.org/W4385569886"],"abstract_inverted_index":{"Transformer":[0],"language":[1,70,88],"models":[2,28,89],"are":[3],"state-of-the-art":[4],"in":[5],"a":[6,84],"multitude":[7],"of":[8,34,87,98,102],"NLP":[9],"tasks.":[10],"Despite":[11],"these":[12],"successes,":[13],"their":[14],"opaqueness":[15],"remains":[16],"problematic.":[17],"Recent":[18],"methods":[19],"aiming":[20],"to":[21,26,75,94],"provide":[22],"interpretability":[23],"and":[24,51],"explainability":[25],"black-box":[27],"primarily":[29],"focus":[30],"on":[31,66],"post-hoc":[32],"explanations":[33],"(sometimes":[35],"spurious)":[36],"input-output":[37],"correlations.":[38],"Instead,":[39],"we":[40],"emphasize":[41],"using":[42],"prototype":[43],"networks":[44],"directly":[45],"incorporated":[46],"into":[47],"the":[48,54,58,99],"model":[49],"architecture":[50,64],"hence":[52],"explain":[53],"reasoning":[55],"process":[56],"behind":[57],"network's":[59],"decisions.":[60],"Moreover,":[61],"while":[62],"our":[63],"performs":[65],"par":[67],"with":[68],"several":[69],"models,":[71],"it":[72],"enables":[73],"one":[74],"learn":[76],"from":[77],"user":[78],"interactions.":[79],"This":[80],"not":[81],"only":[82],"offers":[83],"better":[85],"understanding":[86],"but":[90],"uses":[91],"human":[92],"capabilities":[93],"incorporate":[95],"knowledge":[96],"outside":[97],"rigid":[100],"range":[101],"purely":[103],"data-driven":[104],"approaches.":[105]},"counts_by_year":[],"updated_date":"2026-11-01T11:40:01.658920","created_date":"2021-10-11T00:00:00"}
