{"id":"https://openalex.org/W7155561285","doi":"https://doi.org/10.48550/arxiv.2604.21159","title":"Adaptive Instruction Composition for Automated LLM Red-Teaming","display_name":"Adaptive Instruction Composition for Automated LLM Red-Teaming","publication_year":2026,"publication_date":"2026-04-22","ids":{"openalex":"https://openalex.org/W7155561285","doi":"https://doi.org/10.48550/arxiv.2604.21159"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2604.21159","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.21159","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":"article"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2604.21159","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5117864930","display_name":"Jesse Zymet","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Zymet, Jesse","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5134531561","display_name":"Andy Luo","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Luo, Andy","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5134559212","display_name":"Swapnil Shinde","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shinde, Swapnil","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5134501507","display_name":"Sahil Wadhwa","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wadhwa, Sahil","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5134541657","display_name":"Emily Chen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chen, Emily","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5117864930"],"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.44760000705718994,"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.44760000705718994,"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/T11241","display_name":"Advanced Malware Detection Techniques","score":0.12710000574588776,"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/T11644","display_name":"Spam and Phishing Detection","score":0.08659999817609787,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/leverage","display_name":"Leverage (statistics)","score":0.6669999957084656},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.5792999863624573},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.5586000084877014},{"id":"https://openalex.org/keywords/limiting","display_name":"Limiting","score":0.536899983882904},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.47780001163482666},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.43230000138282776},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4023999869823456},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.36640000343322754}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8116000294685364},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.6669999957084656},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.5792999863624573},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.5586000084877014},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5382000207901001},{"id":"https://openalex.org/C188198153","wikidata":"https://www.wikidata.org/wiki/Q1613840","display_name":"Limiting","level":2,"score":0.536899983882904},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4952999949455261},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.47780001163482666},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.43230000138282776},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4023999869823456},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.36640000343322754},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.3578999936580658},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.3465000092983246},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.3271999955177307},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.3102000057697296},{"id":"https://openalex.org/C126831891","wikidata":"https://www.wikidata.org/wiki/Q221673","display_name":"Host (biology)","level":2,"score":0.30250000953674316},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.2818000018596649},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.2745000123977661},{"id":"https://openalex.org/C174348530","wikidata":"https://www.wikidata.org/wiki/Q188635","display_name":"Bridging (networking)","level":2,"score":0.2694000005722046},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.2685999870300293},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.2639000117778778},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.2590000033378601},{"id":"https://openalex.org/C22367795","wikidata":"https://www.wikidata.org/wiki/Q7625208","display_name":"Structured prediction","level":2,"score":0.2578999996185303},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.25690001249313354}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2604.21159","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.21159","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":"article"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2604.21159","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.21159","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":"article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.7521863579750061}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Many":[0],"approaches":[1,144],"to":[2,9,75,80,90,101,109,156,171,176],"LLM":[3,8],"red-teaming":[4],"leverage":[5],"an":[6,76],"attacker":[7,20,104],"discover":[10],"jailbreaks":[11],"against":[12],"a":[13,31,64,96,122,139,149],"target.":[14],"Several":[15],"of":[16,35,99,124,141],"them":[17],"task":[18],"the":[19,52,103,165,169,177],"with":[21,84,93],"identifying":[22],"effective":[23],"strategies":[24],"through":[25],"trial":[26],"and":[27,47,126,160,174],"error,":[28],"resulting":[29],"in":[30,95],"semantically":[32],"limited":[33],"range":[34],"successes.":[36],"Another":[37],"approach":[38,116],"discovers":[39],"diverse":[40,106],"attacks":[41],"by":[42],"combining":[43],"crowdsourced":[44,72],"harmful":[45],"queries":[46],"tactics":[48],"into":[49],"instructions":[50,100],"for":[51],"attacker,":[53],"but":[54],"does":[55],"so":[56],"at":[57],"random,":[58],"limiting":[59],"effectiveness.":[60],"This":[61],"article":[62],"introduces":[63],"novel":[65],"framework,":[66],"Adaptive":[67],"Instruction":[68],"Composition,":[69],"that":[70,114,136,154,164],"combines":[71],"texts":[73],"according":[74],"adaptive":[77,143],"mechanism":[78],"trained":[79],"jointly":[81],"optimize":[82],"effectiveness":[83,125],"diversity.":[85],"We":[86,112,147],"use":[87],"reinforcement":[88],"learning":[89],"balance":[91],"exploration":[92],"exploitation":[94],"combinatorial":[97],"space":[98,179],"guide":[102],"toward":[105],"generations":[107],"tailored":[108],"target":[110],"vulnerabilities.":[111],"demonstrate":[113],"our":[115],"substantially":[117],"outperforms":[118],"random":[119],"combination":[120],"on":[121,145],"set":[123],"diversity":[127],"metrics,":[128],"even":[129],"under":[130],"model":[131],"transfer.":[132],"Further,":[133],"we":[134],"show":[135],"it":[137,181],"surpasses":[138],"host":[140],"recent":[142],"Harmbench.":[146],"employ":[148],"lightweight":[150],"neural":[151],"contextual":[152],"bandit":[153],"adapts":[155],"contrastive":[157,166],"embedding":[158],"inputs,":[159],"provide":[161],"ablations":[162],"suggesting":[163],"pretraining":[167],"enables":[168],"network":[170],"rapidly":[172],"generalize":[173],"scale":[175],"massive":[178],"as":[180],"learns.":[182]},"counts_by_year":[],"updated_date":"2026-04-25T06:06:54.107920","created_date":"2026-04-25T00:00:00"}
