{"id":"https://openalex.org/W7141156656","doi":"https://doi.org/10.1109/icce67443.2026.11449653","title":"Adaptive Semantic Gates for Reliable Multi-Agent LLMs","display_name":"Adaptive Semantic Gates for Reliable Multi-Agent LLMs","publication_year":2026,"publication_date":"2026-02-03","ids":{"openalex":"https://openalex.org/W7141156656","doi":"https://doi.org/10.1109/icce67443.2026.11449653"},"language":null,"primary_location":{"id":"doi:10.1109/icce67443.2026.11449653","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icce67443.2026.11449653","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 IEEE International Conference on Consumer Electronics (ICCE)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5103085378","display_name":"Lucas G. M. Castro","orcid":"https://orcid.org/0009-0007-5717-4705"},"institutions":[{"id":"https://openalex.org/I62885914","display_name":"Universidade Federal do Amazonas","ror":"https://ror.org/02263ky35","country_code":"BR","type":"education","lineage":["https://openalex.org/I62885914"]}],"countries":["BR"],"is_corresponding":true,"raw_author_name":"Lucas G. M. Castro","raw_affiliation_strings":["Federal University of Amazonas and Center for R&D in Elec. and Inf. Tech. (UFAM/CETELI),AM,Brazil"],"affiliations":[{"raw_affiliation_string":"Federal University of Amazonas and Center for R&D in Elec. and Inf. Tech. (UFAM/CETELI),AM,Brazil","institution_ids":["https://openalex.org/I62885914"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076968843","display_name":"Myke D. M. Valad\u00e3o","orcid":"https://orcid.org/0000-0001-7595-2266"},"institutions":[{"id":"https://openalex.org/I62885914","display_name":"Universidade Federal do Amazonas","ror":"https://ror.org/02263ky35","country_code":"BR","type":"education","lineage":["https://openalex.org/I62885914"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Myke D. M. Valad\u00e3o","raw_affiliation_strings":["Federal University of Amazonas and Center for R&D in Elec. and Inf. Tech. (UFAM/CETELI),AM,Brazil"],"affiliations":[{"raw_affiliation_string":"Federal University of Amazonas and Center for R&D in Elec. and Inf. Tech. (UFAM/CETELI),AM,Brazil","institution_ids":["https://openalex.org/I62885914"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5130765159","display_name":"Waldir S. S. J\u00fanior","orcid":null},"institutions":[{"id":"https://openalex.org/I62885914","display_name":"Universidade Federal do Amazonas","ror":"https://ror.org/02263ky35","country_code":"BR","type":"education","lineage":["https://openalex.org/I62885914"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Waldir S. S. J\u00fanior","raw_affiliation_strings":["Federal University of Amazonas and Center for R&D in Elec. and Inf. Tech. (UFAM/CETELI),AM,Brazil"],"affiliations":[{"raw_affiliation_string":"Federal University of Amazonas and Center for R&D in Elec. and Inf. Tech. (UFAM/CETELI),AM,Brazil","institution_ids":["https://openalex.org/I62885914"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5089682603","display_name":"Celso B. Carvalho","orcid":"https://orcid.org/0000-0002-7378-8893"},"institutions":[{"id":"https://openalex.org/I62885914","display_name":"Universidade Federal do Amazonas","ror":"https://ror.org/02263ky35","country_code":"BR","type":"education","lineage":["https://openalex.org/I62885914"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Celso B. Carvalho","raw_affiliation_strings":["Federal University of Amazonas and Center for R&D in Elec. and Inf. Tech. (UFAM/CETELI),AM,Brazil"],"affiliations":[{"raw_affiliation_string":"Federal University of Amazonas and Center for R&D in Elec. and Inf. Tech. (UFAM/CETELI),AM,Brazil","institution_ids":["https://openalex.org/I62885914"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5103085378"],"corresponding_institution_ids":["https://openalex.org/I62885914"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.92113944,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.21209999918937683,"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":0.21209999918937683,"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/T10215","display_name":"Semantic Web and Ontologies","score":0.15330000221729279,"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":0.07940000295639038,"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/key","display_name":"Key (lock)","score":0.3797000050544739},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.27720001339912415},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.2531999945640564},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.2524999976158142}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6238999962806702},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4399999976158142},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.3797000050544739},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.32089999318122864},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3046000003814697},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.27720001339912415},{"id":"https://openalex.org/C112930515","wikidata":"https://www.wikidata.org/wiki/Q4389547","display_name":"Risk analysis (engineering)","level":1,"score":0.25519999861717224},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.2531999945640564},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.2524999976158142},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.24410000443458557}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icce67443.2026.11449653","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icce67443.2026.11449653","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 IEEE International Conference on Consumer Electronics (ICCE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":4,"referenced_works":["https://openalex.org/W4399503269","https://openalex.org/W4413157003","https://openalex.org/W7123361055","https://openalex.org/W7125957064"],"related_works":[],"abstract_inverted_index":{"LLM-based":[0,180],"multi-agent":[1,25,82,169],"systems":[2,27],"have":[3],"recently":[4],"advanced":[5],"collaborative":[6],"reasoning,":[7],"planning,":[8],"and":[9,35,76,92,98,131,171],"tool":[10],"use,":[11],"yet":[12],"remain":[13],"fragile":[14],"under":[15],"real-world":[16,90],"execution.":[17,83],"Prior":[18],"studies,":[19],"including":[20],"recent":[21,168],"analyses":[22,170],"of":[23,37,111,152],"why":[24],"LLM":[26],"fail,":[28],"consistently":[29],"report":[30],"coordination":[31],"breakdowns,":[32],"unsafe":[33,116],"actions,":[34,117],"violations":[36],"system-level":[38],"constraints,":[39],"while":[40,146],"existing":[41],"defenses":[42],"rely":[43],"on":[44],"heavy":[45],"alignment":[46],"methods":[47],"or":[48,143,148],"static":[49],"rule-based":[50],"filters":[51],"that":[52,69,158],"do":[53],"not":[54],"generalize":[55],"across":[56,87],"domains.":[57],"To":[58],"address":[59],"this":[60],"gap,":[61],"we":[62],"introduce":[63],"ASG,":[64],"a":[65,107,137,173],"lightweight,":[66],"plug-and-play":[67],"mechanism":[68],"monitors":[70],"semantic":[71],"drift":[72],"in":[73,167],"real":[74],"time":[75],"selectively":[77],"blocks":[78],"high-risk":[79],"actions":[80,145],"during":[81],"We":[84],"evaluate":[85],"ASG":[86,134],"symbolic":[88],"tasks,":[89],"applications,":[91],"multi-step":[93],"workflows":[94],"using":[95],"five":[96],"configurations":[97],"eight":[99],"seeds.":[100],"In":[101],"stable":[102],"environments,":[103],"ASG-enhanced":[104],"agents":[105],"achieve":[106],"team":[108],"success":[109],"rate":[110],"91.7%":[112],"with":[113,128],"26":[114],"prevented":[115],"demonstrating":[118],"measurable":[119],"robustness":[120],"improvements":[121],"over":[122],"traditional":[123],"pipelines.":[124],"Under":[125],"stress-test":[126],"conditions":[127],"noisy":[129],"states":[130],"long-horizon":[132],"workflows,":[133],"shifts":[135],"to":[136],"safety-first":[138],"regime,":[139],"preventing":[140],"33":[141],"destructive":[142],"contradictory":[144],"matching":[147],"exceeding":[149],"the":[150,163],"stability":[151],"non-defensive":[153],"baselines.":[154],"These":[155],"findings":[156],"show":[157],"adaptive":[159],"gating":[160],"directly":[161],"addresses":[162],"failure":[164],"modes":[165],"highlighted":[166],"offers":[172],"practical,":[174],"domain-general":[175],"pathway":[176],"toward":[177],"more":[178],"reliable":[179],"systems.":[181]},"counts_by_year":[],"updated_date":"2026-03-29T06:01:01.467347","created_date":"2026-03-28T00:00:00"}