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20242026
most citedTowards Building Autonomous Data Services on Azure

8 citations · 11 across the 7 of their papers we have counts for

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cs.SE2025

CosmoCore-Evo: Evolutionary Dream-Replay Reinforcement Learning for Adaptive Code Generation

Santhosh Kumar Ravindran

Building on the affective dream-replay reinforcement learning framework of CosmoCore, we introduce CosmoCore-Evo, an extension that incorporates evolutionary algorithms to enhance…

cs.SE2025

CosmoCore Affective Dream-Replay Reinforcement Learning for Code Generation

Santhosh Kumar Ravindran

We introduce CosmoCore, a neuroscience-inspired reinforcement learning (RL) architecture that integrates affective signals to enhance code generation in large language models (LLMs…

cs.CR2025

Unified Threat Detection and Mitigation Framework (UTDMF): Combating Prompt Injection, Deception, and Bias in Enterprise-Scale Transformers

Santhosh KumarRavindran

The rapid adoption of large language models (LLMs) in enterprise systems exposes vulnerabilities to prompt injection attacks, strategic deception, and biased outputs, threatening s…

cs.AI2025

Moral Anchor System: A Predictive Framework for AI Value Alignment and Drift Prevention

Santhosh Kumar Ravindran

The rise of artificial intelligence (AI) as super-capable assistants has transformed productivity and decision-making across domains. Yet, this integration raises critical concerns…

cs.LG2025

Adversarial Activation Patching: A Framework for Detecting and Mitigating Emergent Deception in Safety-Aligned Transformers

Santhosh Kumar Ravindran

Large language models (LLMs) aligned for safety through techniques like reinforcement learning from human feedback (RLHF) often exhibit emergent deceptive behaviors, where outputs…