FIELD NOTES TOPIC

ai optimization

2 notes, newest first.

  1. Do AI Agents Know When a Task Is Simple? Toward Complexity-Aware Reasoning and Execution

    Source note ·

    Researchers have proposed a method called E3 (Estimate, Execute, Expand) to improve the efficiency of large language model (LLM) agents. E3 aims to estimate the difficulty of a task, execute a minimum viable path, and…

  2. AutoMatBench: An Automatic Optimization Toolkit for the Acceleration of Material Properties Prediction Benchmarking

    Source note ·

    The paper presents AutoMatBench, an automatic optimization toolkit that addresses the limitations of MatBench, a widely used material property prediction benchmarking tool. MatBench lacks the ability to reflect the…