{"id":"https://openalex.org/W7162428548","doi":"https://doi.org/10.48550/arxiv.2605.23974","title":"AERIC: Anticipatory Hidden-State Monitoring for Implicit Harmful Dialogue","display_name":"AERIC: Anticipatory Hidden-State Monitoring for Implicit Harmful Dialogue","publication_year":2026,"publication_date":"2026-05-13","ids":{"openalex":"https://openalex.org/W7162428548","doi":"https://doi.org/10.48550/arxiv.2605.23974"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2605.23974","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.23974","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":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2605.23974","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5137026669","display_name":"Jihyung Park","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Park, Jihyung","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006040238","display_name":"Saleh Afroogh","orcid":"https://orcid.org/0009-0004-4883-0844"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Afroogh, Saleh","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5060920769","display_name":"Junfeng Jiao","orcid":"https://orcid.org/0000-0002-7272-8805"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jiao, Junfeng","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":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":0.48579999804496765,"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":0.48579999804496765,"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/T12262","display_name":"Hate Speech and Cyberbullying Detection","score":0.11150000244379044,"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/T11147","display_name":"Misinformation and Its Impacts","score":0.0722000002861023,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"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/residual","display_name":"Residual","score":0.5437999963760376},{"id":"https://openalex.org/keywords/security-token","display_name":"Security token","score":0.5407999753952026},{"id":"https://openalex.org/keywords/latency","display_name":"Latency (audio)","score":0.44269999861717224},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.40220001339912415},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.3772999942302704},{"id":"https://openalex.org/keywords/hazard","display_name":"Hazard","score":0.3571999967098236}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6949999928474426},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.5437999963760376},{"id":"https://openalex.org/C48145219","wikidata":"https://www.wikidata.org/wiki/Q1335365","display_name":"Security token","level":2,"score":0.5407999753952026},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.44269999861717224},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.40220001339912415},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.3772999942302704},{"id":"https://openalex.org/C49261128","wikidata":"https://www.wikidata.org/wiki/Q1132455","display_name":"Hazard","level":2,"score":0.3571999967098236},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.32829999923706055},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.31529998779296875},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.31450000405311584},{"id":"https://openalex.org/C2780312720","wikidata":"https://www.wikidata.org/wiki/Q5689100","display_name":"Head (geology)","level":2,"score":0.3125999867916107},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.29499998688697815},{"id":"https://openalex.org/C175291020","wikidata":"https://www.wikidata.org/wiki/Q1156822","display_name":"Offset (computer science)","level":2,"score":0.2939999997615814},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.27639999985694885},{"id":"https://openalex.org/C2780186347","wikidata":"https://www.wikidata.org/wiki/Q11414","display_name":"Subnetwork","level":2,"score":0.2711000144481659},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.26669999957084656}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2605.23974","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.23974","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":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2605.23974","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.23974","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":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[{"score":0.7723067998886108,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Current":[0],"language":[1],"models":[2],"create":[3],"two":[4],"safety":[5,77],"challenges:":[6],"risk":[7],"must":[8],"be":[9,23],"detected":[10],"early":[11],"enough":[12],"to":[13,47,149,156,184],"avoid":[14],"exposing":[15],"harmful":[16,62,108],"continuation,":[17],"and":[18,41,117,153,194,199,201,207,213,234],"the":[19,65,96,167,181,238],"harmfulness":[20],"itself":[21],"may":[22,79,88],"implicit":[24,61,107],"rather":[25],"than":[26],"signaled":[27],"by":[28,170,243,250],"overtly":[29],"toxic":[30],"text.":[31],"Existing":[32],"response-level":[33],"guards":[34,44],"are":[35],"strong":[36],"at":[37,185],"judging":[38],"completed":[39],"text,":[40],"native":[42],"streaming":[43],"move":[45],"closer":[46],"token":[48],"time,":[49],"but":[50,87],"both":[51],"settings":[52],"leave":[53],"open":[54],"whether":[55],"a":[56,76,102,122,171,225],"lightweight":[57],"monitor":[58,78,132,239],"can":[59],"anticipate":[60],"drift":[63],"from":[64,147,154],"generator's":[66],"own":[67],"internal":[68],"trajectory.":[69],"We":[70,99],"study":[71],"anticipatory":[72],"same-pass":[73,123],"monitoring,":[74],"where":[75],"read":[80],"hidden":[81],"states":[82],"produced":[83],"during":[84],"ordinary":[85],"decoding":[86],"not":[89],"invoke":[90],"an":[91],"additional":[92],"forward":[93],"pass":[94],"through":[95],"base":[97],"model.":[98],"introduce":[100],"AERIC,":[101],"transfer-oriented":[103],"hidden-state":[104],"approach":[105],"for":[106,205],"dialogue":[109],"that":[110,175,189],"combines":[111],"short-horizon":[112],"hazard":[113],"forecasting,":[114],"support-sensitive":[115],"suppression,":[116],"prompt-conditioned":[118],"residual":[119],"scoring":[120],"under":[121,236],"exponential":[124],"moving":[125],"average":[126],"decision":[127],"rule.":[128],"The":[129],"default":[130],"linear":[131],"contains":[133],"only":[134,244],"387":[135],"trainable":[136],"head":[137],"parameters.":[138],"Against":[139],"Qwen3GuardStream-4B":[140],"on":[141,151,158,196,203,217,224],"balanced":[142],"benchmarks,":[143,164],"AERIC":[144,168],"improves":[145],"AUROC":[146],"0.6830":[148],"0.7143":[150],"DiaSafety":[152],"0.8219":[155],"0.8582":[157],"Harmful":[159],"Advice.":[160],"For":[161],"promptlevel":[162],"trigger":[163,177],"we":[165],"calibrate":[166],"threshold":[169],"source-side":[172],"safe-budget":[173],"rule":[174],"maximizes":[176],"coverage":[178],"while":[179],"constraining":[180],"safe-trigger":[182],"rate":[183],"most":[186],"10%.":[187],"Under":[188],"rule,":[190],"trigger@64":[191],"reaches":[192],"0.6438":[193],"0.4656":[195],"HarmBench":[197,232],"DirectRequest":[198,233],"0.6849":[200],"0.7363":[202],"SocialHarmBench":[204,235],"Qwen":[206],"Gemma,":[208],"respectively,":[209],"withholding":[210],"between":[211],"23.53":[212],"41.86":[214],"answer":[215],"tokens":[216],"average.":[218],"Same-pass":[219],"deployment":[220],"is":[221],"also":[222],"efficient:":[223],"63-prompt":[226],"harmfulprompt":[227],"fixed-generation":[228],"benchmark":[229],"aggregated":[230],"over":[231],"Qwen3-8B,":[237],"increases":[240,248],"mean":[241],"latency":[242],"2.34%,":[245],"whereas":[246],"Qwen3Guard-Stream-4B":[247],"it":[249],"79.40%.":[251]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-05-27T00:00:00"}