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Fix CodeAct paper link (#1784)

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https://arxiv.org/abs/2402.13463 is RefuteBench: Evaluating Refuting Instruction-Following for Large Language Models

https://arxiv.org/abs/2402.01030 is Executable Code Actions Elicit Better LLM Agents
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docs/modules/usage/agents.md
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### Description
This agent implements the CodeAct idea ([paper](https://arxiv.org/abs/2402.13463), [tweet](https://twitter.com/xingyaow_/status/1754556835703751087)) that consolidates LLM agents’ **act**ions into a unified **code** action space for both _simplicity_ and _performance_ (see paper for more details).
This agent implements the CodeAct idea ([paper](https://arxiv.org/abs/2402.01030), [tweet](https://twitter.com/xingyaow_/status/1754556835703751087)) that consolidates LLM agents’ **act**ions into a unified **code** action space for both _simplicity_ and _performance_ (see paper for more details).
The conceptual idea is illustrated below. At each turn, the agent can: