Look Before You Leap: Thermodynamic Arbitration of Parametric and Non-Parametric Knowledge in LLM Agents via Self-Regulating Memory Architectures
cs.AI, cs.CL
Submitted: 2026-10-04
Updated: 2026-10-04
Sources
- Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection
- From Local to Global: A Graph RAG Approach to Query-Focused Summarization
- Augmented Language Models: a Survey
- MemGPT: Towards LLMs as Operating Systems
- MemoRAG: Boosting Long Context Processing with Global Memory-Enhanced Retrieval Augmentation
- Accelerating Manufacturing Scale-Up from Material Discovery Using Agentic Web Navigation and Retrieval-Augmented AI for Process Engineering Schematics Design
- Scaling Test-Time Inference with Policy-Optimized, Dynamic Retrieval-Augmented Generation via KV Caching and Decoding
- Large Language Models Have Intrinsic Meta-Cognition, but Need a Good Lens
- MBA-RAG: a Bandit Approach for Adaptive Retrieval-Augmented Generation through Question Complexity
- Corrective Retrieval Augmented Generation
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