3 papers
cs.AI2025
Cognitive Load Limits in Large Language Models: Benchmarking Multi-Hop Reasoning
Sai Teja Reddy Adapala
The scaling of Large Language Models (LLMs) has exposed a critical gap between their performance on static benchmarks and their fragility in dynamic, information-rich environments.…
cs.LG2025
The Anti-Ouroboros Effect: Emergent Resilience in Large Language Models from Recursive Selective Feedback
Sai Teja Reddy Adapala
The stability of recursively trained large language models (LLMs) is a foundational problem for AI safety. Prevailing theory predicts model collapse, a progressive degradation when…
cs.CR2025
The Aegis Protocol: A Foundational Security Framework for Autonomous AI Agents
Sai Teja Reddy Adapala, Yashwanth Reddy Alugubelly
The proliferation of autonomous AI agents marks a paradigm shift toward complex, emergent multi-agent systems. This transition introduces systemic security risks, including control…