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Step-Level Cognitive Depth Adaptation For LLM Agents: Think Fast and Slow by Hanna Nasko is a document available to read on EtoBox.

The document presents COGROUTER, a framework designed to enhance large language models (LLMs) by enabling them to dynamically adapt their cognitive depth during multi-turn decision-making tasks. It introduces a two-stage training approach that includes Cognition-aware Supervised Fine-tuning and Cognition-aware Policy Optimization, allowing agents to efficiently allocate cognitive resources based on the complexity of each task step. Experimental results demonstrate that COGROUTER significantly outperforms ex

Author
Hanna Nasko
Language
EN