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The World Won't Wait: Evaluating and Teaching Agents Under a Live Clock
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real-time intelligenceagent trainingevaluation frameworks
2610.20665
Builder Relevance
1h ago80%
Abstract
This paper introduces RealtimeBench to evaluate LLM agents in real-time environments and proposes TORSI to improve agent performance through structured learning.
Reality Card
Core Claim
The proposed method TORSI significantly improves the performance of LLM agents in real-time tasks, raising Jev's average test score from 13.51 to 24.19 on a 0-100 scale.
Method / Result
Two rounds of TORSI improved Jev's average test score from 13.51 to 24.19.
Limitations
The paper does not provide detailed information on the reproducibility of the TORSI method across different environments.
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