An overview of CoELA 挑战与前瞻 上述控制理论与LLM的结合,衍生出的多种agent能力,实在令我们惊喜若狂。 但LLM在实际控制系统中的应用,还需要克服一系列挑战,包括保证模型生成控制策略的可靠性和安全性,处理实时反馈中的延迟问题,以及整合专有领域知识以提高模型的效能。 未来如何将LLM生成的知识与控制理论的严格数...
In the future, this setup could be altered to in- clude human input in the discussion. Alternatively, different problems may dictate the inclusion of dif- ferent types of agents. Overall, we believe that while LLM-based tools are critical in increasing the quality of natural language performance...
LLM交易Agent:包括通用生成Agent(GA)和LLM交易Agent-FINGPT。GA原本用于模拟人类行为做日常决策,被改编用于股票交易任务,但存在缺乏分层记忆模块和自适应风险偏好机制等问题;FINGPT是一种新型开源LLM框架,用于将输入的文本和数值信息转化为明智的金融决策。 4.4 评估指标 累积回报(Cumulative Return):通过计算指定期间内每...
[2024-03]We release a new paper: "KnowAgent: Knowledge-Augmented Planning for LLM-Based Agents". [2023-06]We create this repository to maintain a paper list onMulti-agents. 📜Content 🌄 Papers Overview Interactive Natural Language Processing ...
A beginner-level tutorial for building your first LLM-powered agent Developer ecosystem overview for LLM agents Most of you have probably read articles about LangChain or LLaMa-Index agents. Here are a few of the implementation frameworks available today: ...
LLMs exhibit certain theory of mind abilities, but this behavior is far from being robust. [2022/08] Inferring Rewards from Language in Context. Jessy Lin et al. ACL. [paper] This work presents a model that infers rewards from language and predicts optimal actions in unseen environment. [...
This surge in research content pertaining to LLMs has prompted several review articles from diverse perspectives [10], [46], [47], [48], [49], [50], [51], [52]. In this paper, we offer a comprehensive overview of current research in the context of complex systems, with particular ...
LLM-as-Agent's reasoning and decision-making abilities in a multi-turn open-ended generation setting. Our extensive test over 27 API-based and open-sourced (OSS) LLMs shows that, while top commercial LLMs present a strong ability of acting as agents in complex environments, there is a ...
Paper PrivAgent: Agentic-based Red-teaming for LLM Privacy Leakage Recent studies have discovered that LLMs have serious privacy leakage concerns, where an LLM may be fooled into outputting private information under carefully crafted adversarial prompts. These risks include leaking system prompts, ...
In this paper, we describe an attempt to incorporate an agent model using LLM into multi-agent social simulation (MAS). In the implementation of MAS, a problem has been how to construct a computational model to simulate human behavior in the target social environment. Building a model to ...