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 …
Large language models for software engineering: A systematic literature review
Large Language Models (LLMs) have significantly impacted numerous domains, notably
including Software Engineering (SE). Nevertheless, a well-rounded understanding of the …
including Software Engineering (SE). Nevertheless, a well-rounded understanding of the …
The rise and potential of large language model based agents: A survey
For a long time, humanity has pursued artificial intelligence (AI) equivalent to or surpassing
the human level, with AI agents considered a promising vehicle for this pursuit. AI agents are …
the human level, with AI agents considered a promising vehicle for this pursuit. AI agents are …
Autogen: Enabling next-gen llm applications via multi-agent conversation framework
This technical report presents AutoGen, a new framework that enables development of LLM
applications using multiple agents that can converse with each other to solve tasks. AutoGen …
applications using multiple agents that can converse with each other to solve tasks. AutoGen …
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 …
On generative agents in recommendation
Recommender systems are the cornerstone of today's information dissemination, yet a
disconnect between offline metrics and online performance greatly hinders their …
disconnect between offline metrics and online performance greatly hinders their …
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 …
Cognitive architectures for language agents
Recent efforts have incorporated large language models (LLMs) with external resources (eg,
the Internet) or internal control flows (eg, prompt chaining) for tasks requiring grounding or …
the Internet) or internal control flows (eg, prompt chaining) for tasks requiring grounding or …
Large language models for robotics: A survey
The human ability to learn, generalize, and control complex manipulation tasks through multi-
modality feedback suggests a unique capability, which we refer to as dexterity intelligence …
modality feedback suggests a unique capability, which we refer to as dexterity intelligence …