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Commit fa28d393 authored by Maxime MORGE's avatar Maxime MORGE
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LLM4AAMAS: minor modificiation

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...@@ -52,14 +52,6 @@ to generative AAMAS. This list is a work in progress and will be regularly updat ...@@ -52,14 +52,6 @@ to generative AAMAS. This list is a work in progress and will be regularly updat
**[A Survey of Large Language Models](https://arxiv.org/abs/2303.18223)** **[A Survey of Large Language Models](https://arxiv.org/abs/2303.18223)**
Wayne Xin Zhao, Kun Zhou, Junyi Li, et al. (2024) Published on *arXiv* Wayne Xin Zhao, Kun Zhou, Junyi Li, et al. (2024) Published on *arXiv*
- Based on the planning and reasoning abilities of LLM, the paper consider
LLM-based multi-agent systems for complex problem-solving and world
simulation.
**[Large Language Model based Multi-Agents: A Survey of Progress and
Challenges](https://arxiv.org/abs/2402.01680)** Taicheng Guo et al. (2024)
Published on *arXiv* arXiv:2402.01680 [cs.CL]
- A framework for achieving strong natural language understanding with a single - A framework for achieving strong natural language understanding with a single
task-agnostic model through generative pre-training and discriminative task-agnostic model through generative pre-training and discriminative
fine-tuning. fine-tuning.
...@@ -300,6 +292,14 @@ these top-tier models and their OSS competitors. ...@@ -300,6 +292,14 @@ these top-tier models and their OSS competitors.
## Generative MAS ## Generative MAS
Based on the planning and reasoning abilities of LLM, the paper considers
LLM-based multi-agent systems for complex problem-solving and world
simulation.
- **[Large Language Model based Multi-Agents: A Survey of Progress and
Challenges](https://arxiv.org/abs/2402.01680)** Taicheng Guo et al. (2024)
Published on *arXiv* arXiv:2402.01680 [cs.CL]
LLMs can simulate realistic perceptions, reasoning, and decision-making, react LLMs can simulate realistic perceptions, reasoning, and decision-making, react
adaptively to environments without predefined explicit instructions by adjusting adaptively to environments without predefined explicit instructions by adjusting
their responses through contextual learning mechanisms, autonomously generate their responses through contextual learning mechanisms, autonomously generate
......
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