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Notes on optimization methods
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Rethinking Self-Evolving Agents: Do We Still Need Prescribed Optimization Pipelines?
A study compared an open-ended optimization (OEO) method with two prescribed approaches for self-evolving agents. The OEO method uses a frontier model as the optimizer, while the prescribed methods have fixed pipelines…
Explaining Process Control Optimisation Recommendations via GradientSHAP and Implicit Differentiation
Researchers propose a method to explain optimisation recommendations for industrial processes using Shapley Additive exPlanations (SHAP), Implicit Function Theorem, and Large Language Models (LLM). The new approach…
From Atomic Actions to Standard Operating Procedures: Iterative Tool Optimization for Self-Evolving LLM Agents
Researchers propose a method called EvoSOP to improve Large Language Model (LLM) agents' interaction with the real world. The proposed method optimizes the tools used by LLM agents through creating reusable Standard…
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