{"id":"https://openalex.org/W7166833880","doi":"https://doi.org/10.18653/v1/2026.findings-acl.2004","title":"IDEA: An Interpretable and Editable Decision-Making Framework for LLMs via Verbal-to-Numeric Calibration","display_name":"IDEA: An Interpretable and Editable Decision-Making Framework for LLMs via Verbal-to-Numeric Calibration","publication_year":2026,"publication_date":"2026-01-01","ids":{"openalex":"https://openalex.org/W7166833880","doi":"https://doi.org/10.18653/v1/2026.findings-acl.2004"},"language":null,"primary_location":{"id":"doi:10.18653/v1/2026.findings-acl.2004","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2026.findings-acl.2004","pdf_url":"https://aclanthology.org/2026.findings-acl.2004.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: ACL 2026","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://aclanthology.org/2026.findings-acl.2004.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5133679935","display_name":"Yanji He","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yanji He","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5139775840","display_name":"Yuxin Jiang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yuxin Jiang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5139764404","display_name":"Yiwen Wu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yiwen Wu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5139741556","display_name":"Bo Huang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bo Huang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5139807059","display_name":"Jiaheng Wei","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jiaheng Wei","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5139780848","display_name":"Wei Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wei Wang","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":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.82357166,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"40312","last_page":"40332"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.20999999344348907,"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":0.20999999344348907,"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/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.09969999641180038,"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":0.0949999988079071,"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/calibration","display_name":"Calibration","score":0.5820000171661377},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.34130001068115234},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.2558000087738037},{"id":"https://openalex.org/keywords/action","display_name":"Action (physics)","score":0.2337999939918518}],"concepts":[{"id":"https://openalex.org/C165838908","wikidata":"https://www.wikidata.org/wiki/Q736777","display_name":"Calibration","level":2,"score":0.5820000171661377},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5430999994277954},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4713999927043915},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.3817000091075897},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3424000144004822},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.34130001068115234},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.2637999951839447},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.2558000087738037},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.24369999766349792},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.2337999939918518}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/2026.findings-acl.2004","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2026.findings-acl.2004","pdf_url":"https://aclanthology.org/2026.findings-acl.2004.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: ACL 2026","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/2026.findings-acl.2004","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2026.findings-acl.2004","pdf_url":"https://aclanthology.org/2026.findings-acl.2004.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: ACL 2026","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.7040087580680847,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[{"id":"https://openalex.org/G3593215248","display_name":null,"funder_award_id":"2025ZD0620100","funder_id":"https://openalex.org/F4320329860","funder_display_name":"National Science and Technology Major Project"}],"funders":[{"id":"https://openalex.org/F4320323537","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597"},{"id":"https://openalex.org/F4320329860","display_name":"National Science and Technology Major Project","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7166833880.pdf","grobid_xml":"https://content.openalex.org/works/W7166833880.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Large":[0],"Language":[1],"Models":[2],"are":[3],"increasingly":[4],"deployed":[5],"for":[6],"decision-making,":[7],"yet":[8],"their":[9],"adoption":[10],"in":[11],"high-stakes":[12],"domains":[13],"remains":[14],"limited":[15],"by":[16],"miscalibrated":[17],"probabilities,":[18],"unfaithful":[19],"explanations,":[20],"and":[21,51,62,90,97],"inability":[22],"to":[23],"incorporate":[24],"expert":[25],"knowledge":[26,36],"precisely.We":[27],"propose":[28],"IDEA,":[29],"a":[30],"framework":[31],"that":[32,58],"extracts":[33],"LLM":[34],"decision":[35,52],"into":[37],"an":[38],"interpretable":[39],"parametric":[40],"model":[41],"over":[42],"semantically":[43],"meaningful":[44],"factors.Through":[45],"joint":[46],"learning":[47],"of":[48],"verbal-to-numerical":[49],"mappings":[50],"parameters":[53],"via":[54],"EM,":[55],"correlated":[56],"sampling":[57],"preserves":[59],"factor":[60,95],"dependencies,":[61],"direct":[63],"parameter":[64],"editing":[65],"with":[66,83],"mathematical":[67],"guarantees,":[68],"IDEA":[69,82],"produces":[70],"calibrated":[71],"probabilities":[72],"while":[73],"enabling":[74],"quantitative":[75],"human-AI":[76],"collaboration.Experiments":[77],"across":[78],"five":[79],"datasets":[80],"show":[81],"Qwen-3-32B":[84],"(78.6%)":[85],"outperforms":[86],"DeepSeek":[87],"R1":[88],"(68.1%)":[89],"GPT-5.2":[91],"(77.9%),":[92],"achieving":[93],"perfect":[94],"exclusion":[96],"exact":[98],"calibration-precision":[99],"unattainable":[100],"through":[101],"prompting":[102],"alone.The":[103],"implementation":[104],"is":[105],"publicly":[106],"available.":[107]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2026-07-02T00:00:00"}