Author

Tejasvi C. Addagada

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#natural language process... Preprint Sep 2026

Structural Jailbreaks Generalize but Do Not Compound: A cross-provider and multilingual study of Involuntary In-Context Learning

Aligned language models fail under two independent pressures: the structural jailbreak class recently formalized as Involuntary In-Context Learning (IICL), which reframes a harmful request as the final missing cell of a data-labeling task completed by pattern rather than judged as content; and the erosion of safety ali...

Tejasvi C. Addagada · 0 citations

#artificial intelligence Review Sep 2026

Customer Relationship Intelligence: Integrating CRM and MDM for Enhanced Customer Engagement

CRM and CKM emerge as the principal drivers of CE within the CRI framework, while MDM functions as a foundational data quality enabler whose strategic value is realised through its enabling effect on CRM execution and knowledge management.

Tejasvi C. Addagada · 0 citations

Preprint Aug 2026

Governing the KV Cache: Preventing Timing Side-Channel Leakage in Multi-Tenant LLM Inference

KVGov, a governance layer addressing all three attack families' prefix-cache paths under one mechanism, is presented, giving an evolutionary stability analysis giving a 31.6% adversary-prevalence tipping point below which global caching remains stable.

Tejasvi C. Addagada · 2 citations · ⚡1