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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 …
The rise and potential of large language model based agents: A survey
For a long time, researchers have sought artificial intelligence (AI) that matches or exceeds
human intelligence. AI agents, which are artificial entities capable of sensing the …
human intelligence. AI agents, which are artificial entities capable of sensing the …
Large language models for software engineering: A systematic literature review
Large Language Models (LLMs) have significantly impacted numerous domains, including
Software Engineering (SE). Many recent publications have explored LLMs applied to …
Software Engineering (SE). Many recent publications have explored LLMs applied to …
Large language model based multi-agents: A survey of progress and challenges
Large Language Models (LLMs) have achieved remarkable success across a wide array of
tasks. Due to the impressive planning and reasoning abilities of LLMs, they have been used …
tasks. Due to the impressive planning and reasoning abilities of LLMs, they have been used …
Chateval: Towards better llm-based evaluators through multi-agent debate
Text evaluation has historically posed significant challenges, often demanding substantial
labor and time cost. With the emergence of large language models (LLMs), researchers …
labor and time cost. With the emergence of large language models (LLMs), researchers …
Expel: Llm agents are experiential learners
The recent surge in research interest in applying large language models (LLMs) to decision-
making tasks has flourished by leveraging the extensive world knowledge embedded in …
making tasks has flourished by leveraging the extensive world knowledge embedded in …
[PDF][PDF] Trustllm: Trustworthiness in large language models
Large language models (LLMs), exemplified by ChatGPT, have gained considerable
attention for their excellent natural language processing capabilities. Nonetheless, these …
attention for their excellent natural language processing capabilities. Nonetheless, these …
Autogen: Enabling next-gen llm applications via multi-agent conversation
AutoGen is an open-source framework that allows developers to build LLM applications via
multiple agents that can converse with each other to accomplish tasks. AutoGen agents are …
multiple agents that can converse with each other to accomplish tasks. AutoGen agents are …
Executable code actions elicit better llm agents
Large Language Model (LLM) agents, capable of performing a broad range of actions, such
as invoking tools and controlling robots, show great potential in tackling real-world …
as invoking tools and controlling robots, show great potential in tackling real-world …
Rolellm: Benchmarking, eliciting, and enhancing role-playing abilities of large language models
The advent of Large Language Models (LLMs) has paved the way for complex tasks such as
role-playing, which enhances user interactions by enabling models to imitate various …
role-playing, which enhances user interactions by enabling models to imitate various …