{"id":"https://openalex.org/W4415946397","doi":"https://doi.org/10.48550/arxiv.2505.11924","title":"Intrinsic Self-Correction in LLMs: Towards Explainable Prompting via Mechanistic Interpretability","display_name":"Intrinsic Self-Correction in LLMs: Towards Explainable Prompting via Mechanistic Interpretability","publication_year":2025,"publication_date":"2025-05-17","ids":{"openalex":"https://openalex.org/W4415946397","doi":"https://doi.org/10.48550/arxiv.2505.11924"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2505.11924","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2505.11924","pdf_url":"https://arxiv.org/pdf/2505.11924","source":{"id":"https://openalex.org/S4393918464","display_name":"ArXiv.org","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"type":"preprint","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2505.11924","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5020696703","display_name":"Yu\u2010Ting Lee","orcid":"https://orcid.org/0009-0007-7426-1421"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Lee, Yu-Ting","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5120274602","display_name":"Fu-Chieh Chang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chang, Fu-Chieh","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Shu, Yu-En","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shu, Yu-En","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103687222","display_name":"Hung-Chang Shih","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shih, Hui-Ying","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5080520702","display_name":"Pei-Yuan Wu","orcid":"https://orcid.org/0000-0001-7860-3678"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wu, Pei-Yuan","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5020696703"],"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":0.6209999918937683,"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":0.6209999918937683,"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":0.11129999905824661,"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":0.03240000084042549,"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/interpretability","display_name":"Interpretability","score":0.9041000008583069},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.7224000096321106},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.7014999985694885},{"id":"https://openalex.org/keywords/mechanism","display_name":"Mechanism (biology)","score":0.6216999888420105},{"id":"https://openalex.org/keywords/phenomenon","display_name":"Phenomenon","score":0.36980000138282776}],"concepts":[{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.9041000008583069},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.7224000096321106},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.7014999985694885},{"id":"https://openalex.org/C89611455","wikidata":"https://www.wikidata.org/wiki/Q6804646","display_name":"Mechanism (biology)","level":2,"score":0.6216999888420105},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6111000180244446},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5142999887466431},{"id":"https://openalex.org/C50335755","wikidata":"https://www.wikidata.org/wiki/Q483247","display_name":"Phenomenon","level":2,"score":0.36980000138282776},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3400000035762787},{"id":"https://openalex.org/C11671645","wikidata":"https://www.wikidata.org/wiki/Q5054567","display_name":"Causal model","level":2,"score":0.3003999888896942},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.2867000102996826},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.2840000092983246}],"mesh":[],"locations_count":3,"locations":[{"id":"pmh:oai:arXiv.org:2505.11924","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2505.11924","pdf_url":"https://arxiv.org/pdf/2505.11924","source":{"id":"https://openalex.org/S4393918464","display_name":"ArXiv.org","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"pmh:doi:10.48550/arxiv.2505.11924","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},{"id":"doi:10.48550/arxiv.2505.11924","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2505.11924","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":"pmh:oai:arXiv.org:2505.11924","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2505.11924","pdf_url":"https://arxiv.org/pdf/2505.11924","source":{"id":"https://openalex.org/S4393918464","display_name":"ArXiv.org","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Intrinsic":[0],"self-correction":[1,39,64],"refers":[2],"to":[3,160],"the":[4,66,84,121,125,133,143,162],"phenomenon":[5],"where":[6],"a":[7,157],"language":[8],"model":[9,154],"refines":[10],"its":[11,31],"own":[12],"outputs":[13],"purely":[14],"through":[15],"prompting,":[16],"without":[17],"external":[18],"feedback":[19],"or":[20],"parameter":[21],"updates.":[22],"While":[23],"this":[24],"approach":[25],"improves":[26],"performance":[27],"across":[28],"diverse":[29],"tasks,":[30],"mechanism":[32],"remains":[33],"unclear.":[34],"We":[35],"show":[36],"that":[37,100,139,152],"intrinsic":[38,63,147],"functions":[40],"by":[41,51,70],"steering":[42,141],"hidden":[43],"representations":[44],"along":[45],"interpretable":[46,76],"latent":[47,77,113],"directions,":[48],"as":[49],"evidenced":[50],"both":[52],"alignment":[53],"analysis":[54,150],"and":[55,82,107],"activation":[56,91],"interventions.":[57],"To":[58],"achieve":[59],"this,":[60],"we":[61,74],"analyze":[62],"via":[65,90],"representation":[67,102,140],"shift":[68],"induced":[69],"prompting.":[71],"In":[72,119],"parallel,":[73],"construct":[75],"directions":[78,89,114],"with":[79,112,124,132],"contrastive":[80,117],"pairs":[81],"verify":[83],"causal":[85],"effect":[86],"of":[87,146,164],"these":[88],"addition.":[92],"Evaluating":[93],"six":[94],"open-source":[95],"LLMs,":[96],"our":[97],"results":[98],"demonstrate":[99],"prompt-induced":[101],"shifts":[103,122],"in":[104,128],"text":[105,108],"detoxification":[106],"toxification":[109],"consistently":[110],"align":[111,123,131],"constructed":[115],"from":[116],"pairs.":[118],"detoxification,":[120],"non-toxic":[126],"direction;":[127],"toxification,":[129],"they":[130],"toxic":[134],"direction.":[135],"These":[136],"findings":[137],"suggest":[138],"is":[142],"mechanistic":[144],"driver":[145],"self-correction.":[148],"Our":[149],"highlights":[151],"understanding":[153],"internals":[155],"offers":[156],"direct":[158],"route":[159],"analyzing":[161],"mechanisms":[163],"prompt-driven":[165],"LLM":[166],"behaviors.":[167]},"counts_by_year":[],"updated_date":"2026-04-13T07:58:08.660418","created_date":"2025-10-10T00:00:00"}