{"id":"https://openalex.org/W4416036369","doi":"https://doi.org/10.18653/v1/2025.emnlp-main.781","title":"Pierce the Mists, Greet the Sky: Decipher Knowledge Overshadowing via Knowledge Circuit Analysis","display_name":"Pierce the Mists, Greet the Sky: Decipher Knowledge Overshadowing via Knowledge Circuit Analysis","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4416036369","doi":"https://doi.org/10.18653/v1/2025.emnlp-main.781"},"language":null,"primary_location":{"id":"doi:10.18653/v1/2025.emnlp-main.781","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2025.emnlp-main.781","pdf_url":"https://aclanthology.org/2025.emnlp-main.781.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 2025 Conference on Empirical Methods in Natural Language Processing","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://aclanthology.org/2025.emnlp-main.781.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5110703669","display_name":"H.-M. Huang","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Haoming Huang","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102958217","display_name":"Yibo Yan","orcid":"https://orcid.org/0009-0005-2793-0579"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yibo Yan","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Jiahao Huo","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jiahao Huo","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101587089","display_name":"Xin Zou","orcid":"https://orcid.org/0000-0003-3695-0465"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xin Zou","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044549752","display_name":"Xinfeng Li","orcid":"https://orcid.org/0000-0002-9686-4369"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xinfeng Li","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100366692","display_name":"Kun Wang","orcid":"https://orcid.org/0000-0002-9099-2781"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kun Wang","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5057914558","display_name":"Xuming Hu","orcid":"https://orcid.org/0000-0002-6973-8252"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xuming Hu","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5110703669"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.37789251,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"15471","last_page":"15490"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14222","display_name":"Knowledge Management and Technology","score":0.03929999843239784,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T14222","display_name":"Knowledge Management and Technology","score":0.03929999843239784,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11477","display_name":"Epistemology, Ethics, and Metaphysics","score":0.019700000062584877,"subfield":{"id":"https://openalex.org/subfields/1211","display_name":"Philosophy"},"field":{"id":"https://openalex.org/fields/12","display_name":"Arts and Humanities"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12572","display_name":"Intelligence, Security, War Strategy","score":0.012000000104308128,"subfield":{"id":"https://openalex.org/subfields/3320","display_name":"Political Science and International Relations"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/decipher","display_name":"DECIPHER","score":0.8277000188827515},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.3400000035762787},{"id":"https://openalex.org/keywords/perspective","display_name":"Perspective (graphical)","score":0.31139999628067017},{"id":"https://openalex.org/keywords/knowledge-based-systems","display_name":"Knowledge-based systems","score":0.30709999799728394}],"concepts":[{"id":"https://openalex.org/C164614171","wikidata":"https://www.wikidata.org/wiki/Q5204775","display_name":"DECIPHER","level":2,"score":0.8277000188827515},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.4032999873161316},{"id":"https://openalex.org/C188147891","wikidata":"https://www.wikidata.org/wiki/Q147638","display_name":"Cognitive science","level":1,"score":0.35199999809265137},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3450999855995178},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.3400000035762787},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.31139999628067017},{"id":"https://openalex.org/C115925183","wikidata":"https://www.wikidata.org/wiki/Q1412694","display_name":"Knowledge-based systems","level":2,"score":0.30709999799728394},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.30559998750686646},{"id":"https://openalex.org/C46312422","wikidata":"https://www.wikidata.org/wiki/Q11024","display_name":"Communication","level":1,"score":0.27970001101493835},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.27869999408721924}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/2025.emnlp-main.781","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2025.emnlp-main.781","pdf_url":"https://aclanthology.org/2025.emnlp-main.781.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 2025 Conference on Empirical Methods in Natural Language Processing","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/2025.emnlp-main.781","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2025.emnlp-main.781","pdf_url":"https://aclanthology.org/2025.emnlp-main.781.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 2025 Conference on Empirical Methods in Natural Language Processing","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5249178904","display_name":null,"funder_award_id":"Grant No. 6","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320318398","display_name":"Ant Group","ror":null},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320323537","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4416036369.pdf","grobid_xml":"https://content.openalex.org/works/W4416036369.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Large":[0],"Language":[1],"Models":[2],"(LLMs),":[3],"despite":[4],"their":[5],"remarkable":[6],"capabilities,":[7],"are":[8],"hampered":[9],"by":[10],"hallucinations.A":[11],"particularly":[12],"challenging":[13],"variant,":[14],"knowledge":[15,23,71,75],"overshadowing,":[16],"occurs":[17],"when":[18],"one":[19],"piece":[20],"of":[21,39,82],"activated":[22],"inadvertently":[24],"masks":[25],"another":[26],"relevant":[27],"piece,":[28],"leading":[29],"to":[30,44,66,95],"erroneous":[31],"outputs":[32],"even":[33],"with":[34,127],"high-quality":[35],"training":[36,104],"data.Current":[37],"understanding":[38],"overshadowing":[40,97],"is":[41],"largely":[42],"confined":[43],"inference-time":[45],"observations,":[46],"lacking":[47],"deep":[48],"insights":[49,117],"into":[50,118],"its":[51,100,133],"origins":[52],"and":[53,69,88,99,122],"internal":[54],"mechanisms":[55],"during":[56],"model":[57],"training.Therefore,":[58],"we":[59],"introduce":[60],"PHANTOMCIRCUIT,":[61],"a":[62,128],"novel":[63,116],"framework":[64],"designed":[65],"comprehensively":[67],"analyze":[68],"detect":[70],"overshadowing.By":[72],"innovatively":[73],"employing":[74],"circuit":[76,87],"analysis,":[77],"PHANTOMCIRCUIT":[78,108],"dissects":[79],"the":[80,86,90,96,103,124],"function":[81],"key":[83],"components":[84],"in":[85,111,140],"how":[89],"attention":[91],"pattern":[92],"dynamics":[93],"contribute":[94],"phenomenon":[98],"evolution":[101],"throughout":[102],"process.Extensive":[105],"experiments":[106],"demonstrate":[107],"'s":[109],"effectiveness":[110],"identifying":[112],"such":[113],"instances,":[114],"offering":[115],"this":[119],"elusive":[120],"hallucination":[121],"providing":[123],"research":[125],"community":[126],"new":[129],"methodological":[130],"lens":[131],"for":[132],"potential":[134],"mitigation.Our":[135],"code":[136],"can":[137],"be":[138],"found":[139],"https://github.com/halfmorepiece/PhantomCircuit.":[141]},"counts_by_year":[],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2025-11-08T00:00:00"}
