{"id":"https://openalex.org/W7126458467","doi":"https://doi.org/10.18653/v1/2024.findings-eacl.88","title":"Goodhart\u2019s Law Applies to NLP\u2019s Explanation Benchmarks","display_name":"Goodhart\u2019s Law Applies to NLP\u2019s Explanation Benchmarks","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W7126458467","doi":"https://doi.org/10.18653/v1/2024.findings-eacl.88"},"language":null,"primary_location":{"id":"doi:10.18653/v1/2024.findings-eacl.88","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2024.findings-eacl.88","pdf_url":"https://aclanthology.org/2024.findings-eacl.88.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":"Findings of the Association for Computational Linguistics: EACL 2024","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://aclanthology.org/2024.findings-eacl.88.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5124515732","display_name":"Jennifer Hsia","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jennifer Hsia","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5124553784","display_name":"Danish Pruthi","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Danish Pruthi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5124489511","display_name":"Aarti Singh","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Aarti Singh","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5124535471","display_name":"Zachary Lipton","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zachary Lipton","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":4,"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":0.86124616,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1322","last_page":"1335"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11477","display_name":"Epistemology, Ethics, and Metaphysics","score":0.24369999766349792,"subfield":{"id":"https://openalex.org/subfields/1211","display_name":"Philosophy"},"field":{"id":"https://openalex.org/fields/12","display_name":"Arts and Humanities"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11477","display_name":"Epistemology, Ethics, and Metaphysics","score":0.24369999766349792,"subfield":{"id":"https://openalex.org/subfields/1211","display_name":"Philosophy"},"field":{"id":"https://openalex.org/fields/12","display_name":"Arts and Humanities"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10297","display_name":"Philosophical Ethics and Theory","score":0.040699999779462814,"subfield":{"id":"https://openalex.org/subfields/1211","display_name":"Philosophy"},"field":{"id":"https://openalex.org/fields/12","display_name":"Arts and Humanities"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12517","display_name":"Seventeenth-Century Political and Philosophical Thought","score":0.02969999983906746,"subfield":{"id":"https://openalex.org/subfields/1211","display_name":"Philosophy"},"field":{"id":"https://openalex.org/fields/12","display_name":"Arts and Humanities"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/work","display_name":"Work (physics)","score":0.26159998774528503},{"id":"https://openalex.org/keywords/action","display_name":"Action (physics)","score":0.24869999289512634},{"id":"https://openalex.org/keywords/counterfactual-thinking","display_name":"Counterfactual thinking","score":0.24690000712871552},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.24330000579357147}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.42419999837875366},{"id":"https://openalex.org/C190253527","wikidata":"https://www.wikidata.org/wiki/Q295354","display_name":"Law and economics","level":1,"score":0.37529999017715454},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.3749000132083893},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.33980000019073486},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.2831999957561493},{"id":"https://openalex.org/C144237770","wikidata":"https://www.wikidata.org/wiki/Q747534","display_name":"Mathematical economics","level":1,"score":0.27869999408721924},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.26159998774528503},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.24869999289512634},{"id":"https://openalex.org/C108650721","wikidata":"https://www.wikidata.org/wiki/Q1783253","display_name":"Counterfactual thinking","level":2,"score":0.24690000712871552},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.24330000579357147}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/2024.findings-eacl.88","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2024.findings-eacl.88","pdf_url":"https://aclanthology.org/2024.findings-eacl.88.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":"Findings of the Association for Computational Linguistics: EACL 2024","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/2024.findings-eacl.88","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2024.findings-eacl.88","pdf_url":"https://aclanthology.org/2024.findings-eacl.88.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":"Findings of the Association for Computational Linguistics: EACL 2024","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2144278397","display_name":null,"funder_award_id":"FA8702-15-D-0002","funder_id":"https://openalex.org/F4320306078","funder_display_name":"U.S. Department of Defense"},{"id":"https://openalex.org/G3270933065","display_name":null,"funder_award_id":"2021-67021-35329","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G3598609753","display_name":null,"funder_award_id":"2040929","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G4113017734","display_name":null,"funder_award_id":"2021-67021-35329","funder_id":"https://openalex.org/F4320332299","funder_display_name":"National Institute of Food and Agriculture"},{"id":"https://openalex.org/G5620962805","display_name":null,"funder_award_id":"67021","funder_id":"https://openalex.org/F4320332299","funder_display_name":"National Institute of Food and Agriculture"},{"id":"https://openalex.org/G8387728390","display_name":null,"funder_award_id":"2021-67021-35329","funder_id":"https://openalex.org/F4320306114","funder_display_name":"U.S. Department of Agriculture"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320306078","display_name":"U.S. Department of Defense","ror":"https://ror.org/0447fe631"},{"id":"https://openalex.org/F4320306114","display_name":"U.S. Department of Agriculture","ror":"https://ror.org/01na82s61"},{"id":"https://openalex.org/F4320332299","display_name":"National Institute of Food and Agriculture","ror":"https://ror.org/05qx3fv49"},{"id":"https://openalex.org/F4320337968","display_name":"Center for Machine Learning and Health, School of Computer Science, Carnegie Mellon University","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7126458467.pdf","grobid_xml":"https://content.openalex.org/works/W7126458467.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Despite":[0],"the":[1,7,28,50,57,92,113,126,142,152],"rising":[2],"popularity":[3],"of":[4,48,144,158],"saliency-based":[5],"explanations,":[6],"research":[8],"community":[9],"remains":[10],"at":[11],"an":[12],"impasse,":[13],"facing":[14],"doubts":[15,140],"concerning":[16],"their":[17,98],"purpose,":[18],"efficacy,":[19],"and":[20,54,56,76,97,107],"tendency":[21,93],"to":[22,26,100,104,134,147,165],"contradict":[23],"each":[24,105],"other.Seeking":[25],"unite":[27],"community's":[29],"efforts":[30],"around":[31],"common":[32],"goals,":[33],"several":[34],"recent":[35],"works":[36],"have":[37],"proposed":[38],"evaluation":[39],"metrics.In":[40],"this":[41],"paper,":[42],"we":[43,67,70,110],"critically":[44],"examine":[45],"two":[46],"sets":[47],"metrics:":[49],"ERASER":[51],"metrics":[52,115,146,162],"(comprehensiveness":[53],"sufficiency)":[55],"EVAL-X":[58,114,130],"metrics,":[59],"focusing":[60],"our":[61],"inquiry":[62],"on":[63,86],"natural":[64],"language":[65],"processing.First,":[66],"show":[68],"that":[69,112,124],"can":[71,116],"inflate":[72],"a":[73,121,155],"model's":[74],"comprehensiveness":[75],"sufficiency":[77],"scores":[78],"dramatically":[79],"without":[80],"altering":[81],"its":[82],"predictions":[83],"or":[84],"explanations":[85,96],"in-distribution":[87,108],"test":[88],"inputs.Our":[89],"strategy":[90],"exploits":[91],"for":[94,154],"extracted":[95],"complements":[99],"be":[101,117],"\"out-of-support\"":[102],"relative":[103],"other":[106],"inputs.Next,":[109],"demonstrate":[111],"inflated":[118],"arbitrarily":[119],"by":[120],"simple":[122],"method":[123],"encodes":[125],"label,":[127],"even":[128],"though":[129],"is":[131],"precisely":[132,160],"motivated":[133],"address":[135],"such":[136],"exploits.Our":[137],"results":[138],"raise":[139],"about":[141],"ability":[143],"current":[145],"guide":[148],"explainability":[149],"research,":[150],"underscoring":[151],"need":[153],"broader":[156],"reassessment":[157],"what":[159],"these":[161],"are":[163],"intended":[164],"capture.":[166]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2026-02-02T00:00:00"}