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A survey on large language model based autonomous agents
Autonomous agents have long been a research focus in academic and industry
communities. Previous research often focuses on training agents with limited knowledge …
communities. Previous research often focuses on training agents with limited knowledge …
Jarvis-1: Open-world multi-task agents with memory-augmented multimodal language models
Achieving human-like planning and control with multimodal observations in an open world is
a key milestone for more functional generalist agents. Existing approaches can handle …
a key milestone for more functional generalist agents. Existing approaches can handle …
Agentcoder: Multi-agent-based code generation with iterative testing and optimisation
The advancement of natural language processing (NLP) has been significantly boosted by
the development of transformer-based large language models (LLMs). These models have …
the development of transformer-based large language models (LLMs). These models have …
Exploring large language model based intelligent agents: Definitions, methods, and prospects
Intelligent agents stand out as a potential path toward artificial general intelligence (AGI).
Thus, researchers have dedicated significant effort to diverse implementations for them …
Thus, researchers have dedicated significant effort to diverse implementations for them …
Large language models play starcraft ii: Benchmarks and a chain of summarization approach
With the continued advancement of Large Language Models (LLMs) Agents in reasoning,
planning, and decision-making, benchmarks have become crucial in evaluating these skills …
planning, and decision-making, benchmarks have become crucial in evaluating these skills …
Mindagent: Emergent gaming interaction
Large Language Models (LLMs) have the capacity of performing complex scheduling in a
multi-agent system and can coordinate these agents into completing sophisticated tasks that …
multi-agent system and can coordinate these agents into completing sophisticated tasks that …