6 citations · 7 across the 5 of their papers we have counts for
5 papers
ATLAS-RTC: Closing the Loop on LLM Agent Output with Token-Level Runtime Control
Christopher Cruz
We present ATLAS-RTC, a runtime control system for autoregressive language models that enforces structured output during decoding. ATLAS-RTC monitors generation at each step, detec…
AI Runtime Infrastructure
Christopher Cruz
We introduce AI Runtime Infrastructure, a distinct execution-time layer that operates above the model and below the application, actively observing, reasoning over, and intervening…
Adaptive Focus Memory for Language Models
Christopher Cruz
Large language models (LLMs) are increasingly deployed in multi-turn dialogue settings, yet their behavior remains bottlenecked by naive history management strategies. Replaying th…
VIGIL: A Reflective Runtime for Self-Healing Agents
Christopher Cruz
Agentic LLM frameworks promise autonomous behavior via task decomposition, tool use, and iterative planning, but most deployed systems remain brittle. They lack runtime introspecti…
Unlocking the Potential of Generative AI through Neuro-Symbolic Architectures: Benefits and Limitations
Oualid Bougzime, Samir Jabbar, Christophe Cruz +1
Neuro-symbolic artificial intelligence (NSAI) represents a transformative approach in artificial intelligence (AI) by combining deep learning's ability to handle large-scale and un…