{"id":"https://openalex.org/W4412888252","doi":"https://doi.org/10.18653/v1/2025.findings-acl.652","title":"CtrlA: Adaptive Retrieval-Augmented Generation via Inherent Control","display_name":"CtrlA: Adaptive Retrieval-Augmented Generation via Inherent Control","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4412888252","doi":"https://doi.org/10.18653/v1/2025.findings-acl.652"},"language":"en","primary_location":{"id":"doi:10.18653/v1/2025.findings-acl.652","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2025.findings-acl.652","pdf_url":"https://aclanthology.org/2025.findings-acl.652.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 2025","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://aclanthology.org/2025.findings-acl.652.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5119181383","display_name":"Liu Huanshuo","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liu Huanshuo","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089432787","display_name":"Hao Zhang","orcid":"https://orcid.org/0000-0003-1923-589X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hao Zhang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102113959","display_name":"Zhijiang Guo","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhijiang Guo","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014610739","display_name":"Jing Wang","orcid":"https://orcid.org/0000-0002-3294-3746"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jing Wang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075136607","display_name":"Kuicai Dong","orcid":"https://orcid.org/0000-0002-5564-0641"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kuicai Dong","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100341802","display_name":"Xiang\u2010Yang Li","orcid":"https://orcid.org/0000-0002-6070-6625"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xiangyang Li","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100315624","display_name":"Yi Quan Lee","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yi Quan Lee","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035057047","display_name":"Cong Zhang","orcid":"https://orcid.org/0000-0002-9624-1655"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Cong Zhang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5014714438","display_name":"Yong Liu","orcid":"https://orcid.org/0000-0003-3314-1750"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yong Liu","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":null,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"12592","last_page":"12618"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11269","display_name":"Algorithms and Data Compression","score":0.9751999974250793,"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/T11269","display_name":"Algorithms and Data Compression","score":0.9751999974250793,"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/T11181","display_name":"Advanced Data Storage Technologies","score":0.9429000020027161,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T10320","display_name":"Neural Networks and Applications","score":0.9323999881744385,"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/computer-science","display_name":"Computer science","score":0.7280625104904175},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.35905903577804565}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7280625104904175},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.35905903577804565}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/2025.findings-acl.652","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2025.findings-acl.652","pdf_url":"https://aclanthology.org/2025.findings-acl.652.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 2025","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/2025.findings-acl.652","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2025.findings-acl.652","pdf_url":"https://aclanthology.org/2025.findings-acl.652.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 2025","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7","score":0.4300000071525574}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4412888252.pdf","grobid_xml":"https://content.openalex.org/works/W4412888252.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"Retrieval-augmented":[0],"generation":[1],"(RAG)":[2],"has":[3],"emerged":[4],"as":[5],"a":[6,61,99,134],"promising":[7,135],"solution":[8],"for":[9],"mitigating":[10],"hallucinations":[11],"of":[12,83,137],"Large":[13],"Language":[14],"Models":[15],"(LLMs)":[16],"with":[17],"retrieved":[18],"external":[19],"knowledge.Adaptive":[20],"RAG":[21,59,118],"enhances":[22],"this":[23],"approach":[24],"by":[25],"enabling":[26],"dynamic":[27],"retrieval":[28,32,94,138],"during":[29],"generation,":[30],"activating":[31],"only":[33],"when":[34],"the":[35,53,74,78],"query":[36,103],"exceeds":[37],"LLM's":[38,46],"internal":[39],"knowledge.Existing":[40],"methods":[41,119],"primarily":[42],"focus":[43],"on":[44,120],"detecting":[45],"confidence":[47,81,131],"via":[48],"statistical":[49],"uncertainty.Instead,":[50],"we":[51,72],"present":[52],"first":[54],"attempts":[55],"to":[56,88,106,115],"solve":[57],"adaptive":[58,108,117],"from":[60],"representation":[62],"perspective":[63],"and":[64,80,85,92,130],"develop":[65],"an":[66],"inherent":[67],"control-based":[68],"framework,":[69],"termed":[70],"CTRLA.Specifically,":[71],"extract":[73],"features":[75],"that":[76,111],"represent":[77],"honesty":[79],"directions":[82],"LLM":[84,90],"adopt":[86],"them":[87],"control":[89],"behavior":[91],"guide":[93],"timing":[95],"decisions.We":[96],"also":[97],"design":[98],"simple":[100],"yet":[101],"effective":[102],"formulation":[104],"strategy":[105],"support":[107],"retrieval.Experiments":[109],"show":[110],"CTRLA":[112],"is":[113,133],"superior":[114],"existing":[116],"diverse":[121],"tasks.Honesty":[122],"steering":[123],"can":[124],"effectively":[125],"make":[126],"LLMs":[127],"more":[128],"honest,":[129],"monitoring":[132],"indicator":[136],"trigger.":[139],"1":[140]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}