{"id":"https://openalex.org/W7155203725","doi":"https://doi.org/10.48550/arxiv.2604.19565","title":"Detecting Hallucinations in SpeechLLMs at Inference Time Using Attention Maps","display_name":"Detecting Hallucinations in SpeechLLMs at Inference Time Using Attention Maps","publication_year":2026,"publication_date":"2026-04-21","ids":{"openalex":"https://openalex.org/W7155203725","doi":"https://doi.org/10.48550/arxiv.2604.19565"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2604.19565","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.19565","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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2604.19565","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5026230246","display_name":"Jonas Waldendorf","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Waldendorf, Jonas","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080989461","display_name":"Bashar Hasan","orcid":"https://orcid.org/0000-0001-9531-4990"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hasan, Bashar Awwad Shiekh","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5038054526","display_name":"Evgenii Tsymbalov","orcid":"https://orcid.org/0000-0002-9072-1172"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tsymbalov, Evgenii","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":[],"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/T10667","display_name":"Emotion and Mood Recognition","score":0.13369999825954437,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive 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/T10667","display_name":"Emotion and Mood Recognition","score":0.13369999825954437,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive 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/T11309","display_name":"Music and Audio Processing","score":0.08399999886751175,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.06970000267028809,"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/inference","display_name":"Inference","score":0.6855999827384949},{"id":"https://openalex.org/keywords/logistic-regression","display_name":"Logistic regression","score":0.4092999994754791},{"id":"https://openalex.org/keywords/translation","display_name":"Translation (biology)","score":0.39879998564720154},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.35749998688697815},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.35089999437332153},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.33329999446868896},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.3197999894618988},{"id":"https://openalex.org/keywords/perspective","display_name":"Perspective (graphical)","score":0.3174999952316284}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7346000075340271},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6855999827384949},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6603000164031982},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5102999806404114},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4417000114917755},{"id":"https://openalex.org/C151956035","wikidata":"https://www.wikidata.org/wiki/Q1132755","display_name":"Logistic regression","level":2,"score":0.4092999994754791},{"id":"https://openalex.org/C149364088","wikidata":"https://www.wikidata.org/wiki/Q185917","display_name":"Translation (biology)","level":4,"score":0.39879998564720154},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.36579999327659607},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.35749998688697815},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.35089999437332153},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.33329999446868896},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.3197999894618988},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.3174999952316284},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.3068000078201294},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.3028999865055084},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.28690001368522644},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.27730000019073486},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.27549999952316284},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.26840001344680786},{"id":"https://openalex.org/C2908998935","wikidata":"https://www.wikidata.org/wiki/Q130741","display_name":"Visual Hallucination","level":2,"score":0.2637999951839447},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.25049999356269836}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2604.19565","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.19565","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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2604.19565","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.19565","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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},"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":{"Hallucinations":[0],"in":[1,155],"Speech":[2],"Large":[3],"Language":[4],"Models":[5],"(SpeechLLMs)":[6],"pose":[7],"significant":[8],"risks,":[9],"yet":[10],"existing":[11],"detection":[12,28,154],"methods":[13,29],"typically":[14],"rely":[15],"on":[16,65,81,95],"gold-standard":[17],"outputs":[18],"that":[19,86,114,145],"are":[20],"costly":[21],"or":[22],"impractical":[23],"to":[24,51,102,107,129],"obtain.":[25],"Moreover,":[26],"hallucination":[27,153],"developed":[30],"for":[31,68,152],"text-based":[32],"LLMs":[33],"do":[34],"not":[35],"directly":[36],"capture":[37,52],"audio-specific":[38],"signals.":[39],"We":[40,111],"investigate":[41],"four":[42],"attention-derived":[43],"metrics:":[44],"AUDIORATIO,":[45],"AUDIOCONSISTENCY,":[46],"AUDIOENTROPY,":[47],"and":[48,59,76,83,91,105,137],"TEXTENTROPY,":[49],"designed":[50],"pathological":[53],"attention":[54,123,146],"patterns":[55,147],"associated":[56],"with":[57,120],"hallucination,":[58],"train":[60],"lightweight":[61],"logistic":[62],"regression":[63],"classifiers":[64],"these":[66],"features":[67],"efficient":[69],"inference-time":[70],"detection.":[71],"Across":[72],"automatic":[73],"speech":[74],"recognition":[75],"speech-to-text":[77],"translation":[78],"tasks,":[79],"evaluations":[80],"Qwen-2-Audio":[82],"Voxtral-3B":[84],"show":[85],"our":[87,142],"approach":[88],"outperforms":[89],"uncertainty-based":[90],"prior":[92],"attention-based":[93],"baselines":[94],"in-domain":[96],"data,":[97],"achieving":[98],"improvements":[99],"of":[100],"up":[101],"+0.23":[103],"PR-AUC,":[104],"generalises":[106],"out-of-domain":[108,126],"ASR":[109],"settings.":[110],"further":[112],"find":[113],"strong":[115],"performance":[116],"can":[117],"be":[118],"achieved":[119],"approximately":[121],"100":[122],"heads,":[124],"improving":[125],"generalisation":[127],"compared":[128],"using":[130],"all":[131],"heads.":[132],"While":[133],"effectiveness":[134],"is":[135,140],"model-dependent":[136],"task-specific":[138],"training":[139],"required,":[141],"results":[143],"demonstrate":[144],"provide":[148],"a":[149],"valuable":[150],"tool":[151],"SpeechLLMs.":[156]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2026-04-23T00:00:00"}
