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 …
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
StarCraft II is a challenging benchmark for AI agents due to the necessity of both precise
micro level operations and strategic macro awareness. Previous works, such as Alphastar …
micro level operations and strategic macro awareness. Previous works, such as Alphastar …
Agent-pro: Learning to evolve via policy-level reflection and optimization
Large Language Models exhibit robust problem-solving capabilities for diverse tasks.
However, most LLM-based agents are designed as specific task solvers with sophisticated …
However, most LLM-based agents are designed as specific task solvers with sophisticated …
INACIA: Integrating Large Language Models in Brazilian Audit Courts: Opportunities and Challenges
This paper introduces INACIA (In strução A ssistida c om I nteligência A rtificial), a
groundbreaking system designed to integrate Large Language Models (LLMs) into the …
groundbreaking system designed to integrate Large Language Models (LLMs) into the …
Ask more, know better: Reinforce-Learned Prompt Questions for Decision Making with Large Language Models
Large language models (LLMs) demonstrate their promise in tackling complicated practical
challenges by combining action-based policies with chain of thought (CoT) reasoning …
challenges by combining action-based policies with chain of thought (CoT) reasoning …
UNO Arena for Evaluating Sequential Decision-Making Capability of Large Language Models
Sequential decision-making refers to algorithms that take into account the dynamics of the
environment, where early decisions affect subsequent decisions. With large language …
environment, where early decisions affect subsequent decisions. With large language …
LDM: A Large Decision Model Imitating Human Cognition with Dynamic Memory Enhancement
With the rapid development of large language models (LLMs), it is highly demanded that
LLMs can be adopted to make decisions to enable the artificial general intelligence. Most …
LLMs can be adopted to make decisions to enable the artificial general intelligence. Most …
Application of LLM Agents in Recruitment: A Novel Framework for Automated Resume Screening
The automation of resume screening is a crucial aspect of the recruitment process in
organizations. Automated resume screening systems often encompass a range of natural …
organizations. Automated resume screening systems often encompass a range of natural …
Reasoning in Token Economies: Budget-Aware Evaluation of LLM Reasoning Strategies
A diverse array of reasoning strategies has been proposed to elicit the capabilities of large
language models. However, in this paper, we point out that traditional evaluations which …
language models. However, in this paper, we point out that traditional evaluations which …