{"id":"https://openalex.org/W7166826744","doi":"https://doi.org/10.18653/v1/2026.acl-long.1597","title":"DRInQ: Evaluating Conversational Implicature with Controlled Context Variation","display_name":"DRInQ: Evaluating Conversational Implicature with Controlled Context Variation","publication_year":2026,"publication_date":"2026-01-01","ids":{"openalex":"https://openalex.org/W7166826744","doi":"https://doi.org/10.18653/v1/2026.acl-long.1597"},"language":null,"primary_location":{"id":"doi:10.18653/v1/2026.acl-long.1597","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2026.acl-long.1597","pdf_url":"https://aclanthology.org/2026.acl-long.1597.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 1: Long Papers)","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-long.1597.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5139843263","display_name":"Hirona Jacqueline Arai","orcid":null},"institutions":[{"id":"https://openalex.org/I1174212","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60","country_code":"US","type":"education","lineage":["https://openalex.org/I1174212"]},{"id":"https://openalex.org/I2800817003","display_name":"California Southern University","ror":"https://ror.org/058zz0t50","country_code":"US","type":"education","lineage":["https://openalex.org/I2800817003"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hirona Jacqueline Arai","raw_affiliation_strings":["University of Southern California"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Southern California","institution_ids":["https://openalex.org/I1174212","https://openalex.org/I2800817003"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5139828124","display_name":"Xiang Ren","orcid":null},"institutions":[{"id":"https://openalex.org/I1174212","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60","country_code":"US","type":"education","lineage":["https://openalex.org/I1174212"]},{"id":"https://openalex.org/I2800817003","display_name":"California Southern University","ror":"https://ror.org/058zz0t50","country_code":"US","type":"education","lineage":["https://openalex.org/I2800817003"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xiang Ren","raw_affiliation_strings":["University of Southern California"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Southern California","institution_ids":["https://openalex.org/I1174212","https://openalex.org/I2800817003"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"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":0.79001521,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"34594","last_page":"34611"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12031","display_name":"Speech and dialogue systems","score":0.6212000250816345,"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/T12031","display_name":"Speech and dialogue systems","score":0.6212000250816345,"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/T10667","display_name":"Emotion and Mood Recognition","score":0.06440000236034393,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.05979999899864197,"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/implicature","display_name":"Implicature","score":0.8201000094413757},{"id":"https://openalex.org/keywords/variation","display_name":"Variation (astronomy)","score":0.7560999989509583},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6173999905586243},{"id":"https://openalex.org/keywords/pragmatics","display_name":"Pragmatics","score":0.2906999886035919},{"id":"https://openalex.org/keywords/conversation","display_name":"Conversation","score":0.28380000591278076}],"concepts":[{"id":"https://openalex.org/C2779899686","wikidata":"https://www.wikidata.org/wiki/Q571227","display_name":"Implicature","level":3,"score":0.8201000094413757},{"id":"https://openalex.org/C2778334786","wikidata":"https://www.wikidata.org/wiki/Q1586270","display_name":"Variation (astronomy)","level":2,"score":0.7560999989509583},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6173999905586243},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4740999937057495},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.4140999913215637},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.36399999260902405},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3463999927043915},{"id":"https://openalex.org/C46312422","wikidata":"https://www.wikidata.org/wiki/Q11024","display_name":"Communication","level":1,"score":0.3098999857902527},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.30820000171661377},{"id":"https://openalex.org/C11693617","wikidata":"https://www.wikidata.org/wiki/Q181839","display_name":"Pragmatics","level":2,"score":0.2906999886035919},{"id":"https://openalex.org/C2777200299","wikidata":"https://www.wikidata.org/wiki/Q52943","display_name":"Conversation","level":2,"score":0.28380000591278076},{"id":"https://openalex.org/C2781249084","wikidata":"https://www.wikidata.org/wiki/Q908656","display_name":"Preference","level":2,"score":0.2556000053882599},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.2513999938964844}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/2026.acl-long.1597","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2026.acl-long.1597","pdf_url":"https://aclanthology.org/2026.acl-long.1597.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 1: Long Papers)","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/2026.acl-long.1597","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2026.acl-long.1597","pdf_url":"https://aclanthology.org/2026.acl-long.1597.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 1: Long Papers)","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1002423621","display_name":"CAREER: Teaching Machines through Human Explanation for Information Extraction","funder_award_id":"2048211","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320312530","display_name":"Office of the Director of National Intelligence","ror":"https://ror.org/01v3fsc55"},{"id":"https://openalex.org/F4320332815","display_name":"Advanced Research Projects Agency","ror":"https://ror.org/02caytj08"},{"id":"https://openalex.org/F4320333051","display_name":"Intelligence Advanced Research Projects Activity","ror":"https://ror.org/01v3fsc55"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7166826744.pdf","grobid_xml":"https://content.openalex.org/works/W7166826744.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Human":[0],"conversation":[1],"relies":[2],"heavily":[3],"on":[4,34],"conversational":[5,26,57,159],"implicature,":[6],"in":[7,46,59,157],"which":[8],"speakers":[9],"convey":[10],"meanings":[11],"that":[12,36,82,148],"are":[13],"suggested":[14],"rather":[15],"than":[16],"explicitly":[17],"stated.Although":[18],"recent":[19],"large":[20],"language":[21],"models":[22,98,142],"(LLMs)":[23],"exhibit":[24],"strong":[25],"fluency,":[27],"they":[28,106],"remain":[29],"unreliable":[30],"when":[31,104],"interpretation":[32],"depends":[33],"reasoning":[35,55],"integrates":[37],"social":[38],"and":[39,161],"contextual":[40,151],"cues,":[41],"a":[42,50,79,92],"process":[43],"rarely":[44],"articulated":[45],"text.We":[47],"introduce":[48],"DRinQ,":[49],"benchmark":[51],"for":[52],"evaluating":[53],"pragmatic":[54,65,102],"about":[56],"implicature":[58,160],"question":[60],"utterances,":[61],"designed":[62],"to":[63,109,136],"isolate":[64],"variation":[66],"while":[67,96],"holding":[68],"each":[69],"question's":[70],"surface":[71],"form":[72],"fixed.To":[73],"support":[74],"scalable":[75],"evaluation,":[76],"we":[77,90],"propose":[78],"semi-automated":[80],"pipeline":[81],"produces":[83],"question-context-interpretation":[84],"instances":[85],"with":[86,123,146],"systematic":[87],"variation.Across":[88],"evaluations,":[89],"find":[91],"consistent":[93],"generation-inference":[94],"asymmetry:":[95],"state-of-the-art":[97],"can":[99],"generate":[100,143],"plausible":[101],"scenarios":[103,145],"guided,":[105],"often":[107],"fail":[108],"recover":[110],"the":[111],"intended":[112],"implication":[113],"at":[114],"inference":[115],"time.For":[116],"smaller":[117],"models,":[118],"structured":[119],"prompting":[120],"improves":[121],"alignment":[122],"human":[124,133],"judgments.A":[125],"comparative":[126],"writing":[127],"study":[128],"further":[129],"reveals":[130],"complementary":[131],"strengths:":[132],"authors":[134],"tend":[135],"produce":[137],"safer,":[138],"predictable":[139],"contexts,":[140],"whereas":[141],"varied":[144],"interpretations":[147],"sometimes":[149],"exceed":[150],"support.These":[152],"findings":[153],"highlight":[154],"persistent":[155],"challenges":[156],"modeling":[158],"motivate":[162],"more":[163],"contextsensitive":[164],"evaluation":[165],"frameworks.":[166]},"counts_by_year":[],"updated_date":"2026-08-23T07:36:19.812096","created_date":"2026-07-02T00:00:00"}
