{"id":"https://openalex.org/W7154986512","doi":"https://doi.org/10.48550/arxiv.2604.15873","title":"How Hypocritical Is Your LLM judge? Listener-Speaker Asymmetries in the Pragmatic Competence of Large Language Models","display_name":"How Hypocritical Is Your LLM judge? Listener-Speaker Asymmetries in the Pragmatic Competence of Large Language Models","publication_year":2026,"publication_date":"2026-04-17","ids":{"openalex":"https://openalex.org/W7154986512","doi":"https://doi.org/10.48550/arxiv.2604.15873"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2604.15873","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.15873","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"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":"article"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2604.15873","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5093339396","display_name":"Judith Sieker","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sieker, Judith","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5134009430","display_name":"Sina Zarrie\u00df","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zarrie\u00df, Sina","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":2,"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/T10028","display_name":"Topic Modeling","score":0.4309999942779541,"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/T10028","display_name":"Topic Modeling","score":0.4309999942779541,"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/T13910","display_name":"Computational and Text Analysis Methods","score":0.12139999866485596,"subfield":{"id":"https://openalex.org/subfields/3300","display_name":"General Social Sciences"},"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":0.07400000095367432,"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/pragmatics","display_name":"Pragmatics","score":0.6492000222206116},{"id":"https://openalex.org/keywords/competence","display_name":"Competence (human resources)","score":0.6000999808311462},{"id":"https://openalex.org/keywords/linguistic-competence","display_name":"Linguistic competence","score":0.48339998722076416},{"id":"https://openalex.org/keywords/language-model","display_name":"Language model","score":0.3296000063419342},{"id":"https://openalex.org/keywords/relation","display_name":"Relation (database)","score":0.2962999939918518}],"concepts":[{"id":"https://openalex.org/C11693617","wikidata":"https://www.wikidata.org/wiki/Q181839","display_name":"Pragmatics","level":2,"score":0.6492000222206116},{"id":"https://openalex.org/C100521375","wikidata":"https://www.wikidata.org/wiki/Q2015382","display_name":"Competence (human resources)","level":2,"score":0.6000999808311462},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.5745000243186951},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.5115000009536743},{"id":"https://openalex.org/C17601614","wikidata":"https://www.wikidata.org/wiki/Q1346205","display_name":"Linguistic competence","level":2,"score":0.48339998722076416},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.44600000977516174},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.3508000075817108},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.3296000063419342},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3140000104904175},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.2962999939918518},{"id":"https://openalex.org/C153578388","wikidata":"https://www.wikidata.org/wiki/Q351625","display_name":"Theoretical linguistics","level":2,"score":0.28610000014305115},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2599000036716461},{"id":"https://openalex.org/C155092808","wikidata":"https://www.wikidata.org/wiki/Q182557","display_name":"Computational linguistics","level":2,"score":0.259799987077713},{"id":"https://openalex.org/C197199266","wikidata":"https://www.wikidata.org/wiki/Q7237641","display_name":"Pragmatic theory of truth","level":2,"score":0.2524999976158142}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2604.15873","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.15873","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"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":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2604.15873","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.15873","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"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":"article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.7662839889526367,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Large":[0],"language":[1,25],"models":[2,17,116],"(LLMs)":[3],"are":[4,18,36,134],"increasingly":[5],"studied":[6],"as":[7,22,27,76,86,120,123],"repositories":[8],"of":[9,15,24,29,82],"linguistic":[10,30,83],"knowledge.":[11],"In":[12,62],"this":[13,63,67],"line":[14],"work,":[16],"commonly":[19],"evaluated":[20],"both":[21],"generators":[23],"and":[26,85,97,112,131],"judges":[28],"output,":[31],"yet":[32],"these":[33],"two":[34],"roles":[35],"rarely":[37],"examined":[38],"in":[39,53,59,138],"direct":[40],"relation":[41],"to":[42],"one":[43,54],"another.":[44],"As":[45],"a":[46,106],"result,":[47],"it":[48],"remains":[49],"unclear":[50],"whether":[51],"success":[52,58],"role":[55],"aligns":[56],"with":[57],"the":[60,80],"other.":[61],"paper,":[64],"we":[65],"address":[66],"question":[68],"for":[69,142],"pragmatic":[70,77,87,102,110,113,129,132],"competence":[71],"by":[72],"comparing":[73],"LLMs'":[74],"performance":[75],"listeners,":[78],"judging":[79,130],"appropriateness":[81],"outputs,":[84],"speakers,":[88],"generating":[89],"pragmatically":[90],"appropriate":[91],"language.":[92],"We":[93,104],"evaluate":[94],"multiple":[95],"open-weight":[96],"proprietary":[98],"LLMs":[99],"across":[100],"three":[101],"settings.":[103],"find":[105],"robust":[107],"asymmetry":[108],"between":[109],"evaluation":[111,145],"generation:":[114],"many":[115],"perform":[117],"substantially":[118],"better":[119],"listeners":[121],"than":[122],"speakers.":[124],"Our":[125],"results":[126],"suggest":[127],"that":[128],"generation":[133],"only":[135],"weakly":[136],"aligned":[137],"current":[139],"LLMs,":[140],"calling":[141],"more":[143],"integrated":[144],"practices.":[146]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2026-04-21T00:00:00"}
