Agent-as-a-judge: Evaluate agents with agents
Contemporary evaluation techniques are inadequate for agentic systems. These
approaches either focus exclusively on final outcomes--ignoring the step-by-step nature of …
approaches either focus exclusively on final outcomes--ignoring the step-by-step nature of …
The emerged security and privacy of llm agent: A survey with case studies
Inspired by the rapid development of Large Language Models (LLMs), LLM agents have
evolved to perform complex tasks. LLM agents are now extensively applied across various …
evolved to perform complex tasks. LLM agents are now extensively applied across various …
Two heads are better than one: A multi-agent system has the potential to improve scientific idea generation
The rapid advancement of scientific progress requires innovative tools that can accelerate
discovery. While recent AI methods, particularly large language models (LLMs), have shown …
discovery. While recent AI methods, particularly large language models (LLMs), have shown …
LLM-Based Multi-Agent Systems for Software Engineering: Literature Review, Vision and the Road Ahead
Integrating Large Language Models (LLMs) into autonomous agents marks a significant shift
in the research landscape by offering cognitive abilities that are competitive with human …
in the research landscape by offering cognitive abilities that are competitive with human …
Autonomous agents for collaborative task under information asymmetry
Large Language Model Multi-Agent Systems (LLM-MAS) have achieved great progress in
solving complex tasks. It performs communication among agents within the system to …
solving complex tasks. It performs communication among agents within the system to …
FinVision: A Multi-Agent Framework for Stock Market Prediction
Financial trading has been a challenging task, as it requires the integration of vast amounts
of data from various modalities. Traditional deep learning and reinforcement learning …
of data from various modalities. Traditional deep learning and reinforcement learning …
Do as We Do, Not as You Think: the Conformity of Large Language Models
Recent advancements in large language models (LLMs) revolutionize the field of intelligent
agents, enabling collaborative multi-agent systems capable of tackling complex problems …
agents, enabling collaborative multi-agent systems capable of tackling complex problems …
A Survey on Multi-Generative Agent System: Recent Advances and New Frontiers
Multi-generative agent systems (MGASs) have become a research hotspot since the rise of
large language models (LLMs). However, with the continuous influx of new related works …
large language models (LLMs). However, with the continuous influx of new related works …