Papers by Jinghua Piao

1 papers
A Parallelized Framework for Simulating Large-Scale LLM Agents with Realistic Environments and Interactions (2025.acl-industry)

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Challenge: Existing work on large language models lacks a realistic environment and parallelized framework to support complex interactions between agents and environments.
Approach: They propose a framework that integrates realistic societal environments and parallelized interactions to support simulations of large-scale agents.
Outcome: The proposed framework can support simulations of 30,000 agents faster than the wall-clock time with 24 NVIDIA A800 GPUs and the performance increases linearly with the increase of LLM computational resources.

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