{"id":"https://openalex.org/W7166859244","doi":"https://doi.org/10.18653/v1/2026.findings-acl.1064","title":"Streaming Hallucination Detection in Long Chain-of-Thought Reasoning","display_name":"Streaming Hallucination Detection in Long Chain-of-Thought Reasoning","publication_year":2026,"publication_date":"2026-01-01","ids":{"openalex":"https://openalex.org/W7166859244","doi":"https://doi.org/10.18653/v1/2026.findings-acl.1064"},"language":null,"primary_location":{"id":"doi:10.18653/v1/2026.findings-acl.1064","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2026.findings-acl.1064","pdf_url":"https://aclanthology.org/2026.findings-acl.1064.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.1064.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5122029597","display_name":"Haolang Lu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Haolang Lu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101594954","display_name":"Minghui Pan","orcid":"https://orcid.org/0000-0002-5176-3978"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Minghui Pan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007189397","display_name":"Ripeng Li","orcid":"https://orcid.org/0009-0003-2229-5540"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ripeng LI","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020360628","display_name":"Guoshun Nan","orcid":"https://orcid.org/0000-0002-1987-2736"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Guoshun Nan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101391812","display_name":"Jialin Zhuang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jialin Zhuang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5122037133","display_name":"Zijie Zhao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zijie Zhao","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5122236557","display_name":"Zhongxiang Sun","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhongxiang Sun","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5139786644","display_name":"Kun Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kun Wang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5139815085","display_name":"Yang Janet Liu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yang 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":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.90595611,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"21157","last_page":"21183"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12553","display_name":"Psychedelics and Drug Studies","score":0.16859999299049377,"subfield":{"id":"https://openalex.org/subfields/3203","display_name":"Clinical Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T12553","display_name":"Psychedelics and Drug Studies","score":0.16859999299049377,"subfield":{"id":"https://openalex.org/subfields/3203","display_name":"Clinical 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/T12536","display_name":"Topological and Geometric Data Analysis","score":0.04340000078082085,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T13219","display_name":"Mind wandering and attention","score":0.03189999982714653,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3034999966621399},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.29350000619888306},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.2667999863624573},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.2175000011920929}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.582099974155426},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5802000164985657},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4049000144004822},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3034999966621399},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.29350000619888306},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.2667999863624573},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.2621999979019165},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.2175000011920929},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.21610000729560852},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.20160000026226044}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/2026.findings-acl.1064","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2026.findings-acl.1064","pdf_url":"https://aclanthology.org/2026.findings-acl.1064.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.1064","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2026.findings-acl.1064","pdf_url":"https://aclanthology.org/2026.findings-acl.1064.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":[{"display_name":"Gender equality","id":"https://metadata.un.org/sdg/5","score":0.4116651713848114}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7166859244.pdf","grobid_xml":"https://content.openalex.org/works/W7166859244.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Long":[0],"chain-of-thought":[1],"(CoT)":[2],"reasoning":[3,22,30,67],"improves":[4],"the":[5,62,66,70],"performance":[6,99],"of":[7,65],"large":[8],"language":[9],"models,":[10],"yet":[11],"hallucinations":[12],"in":[13,27,79],"such":[14],"settings":[15],"often":[16],"emerge":[17],"subtly":[18],"and":[19,53,97],"propagate":[20],"across":[21],"steps.We":[23],"suggest":[24],"that":[25,60],"hallucination":[26,48,58,77],"long":[28,80],"CoT":[29,81],"is":[31],"better":[32],"understood":[33],"as":[34,50],"an":[35],"evolving":[36],"latent":[37],"state":[38,68],"rather":[39],"than":[40],"a":[41,55],"one-off":[42],"erroneous":[43],"event.Accordingly,":[44],"we":[45],"treat":[46],"step-level":[47,90],"judgments":[49],"local":[51],"observations":[52],"introduce":[54],"cumulative":[56],"prefix-level":[57],"signal":[59],"tracks":[61],"global":[63],"evolution":[64],"over":[69],"entire":[71],"trajectory.Overall,":[72],"our":[73],"approach":[74],"enables":[75],"streaming":[76],"detection":[78],"reasoning,":[82],"providing":[83],"real-time,":[84],"interpretable":[85],"evidence.Obs":[86],"I.Under":[87],"identical":[88],"supervision,":[89],"representation":[91],"construction":[92],"alone":[93],"leads":[94],"to":[95],"consistent":[96],"measurable":[98],"gains.":[100]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2026-07-02T00:00:00"}
