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2025/01/31 3

The Ability of Large Language Models to Evaluate Constraint-satisfaction in Agent Responses to Open-ended Requests - 논문 리뷰

https://arxiv.org/abs/2409.14371 The Ability of Large Language Models to Evaluate Constraint-satisfaction in Agent Responses to Open-ended RequestsGenerative AI agents are often expected to respond to complex user requests that have No One Right Answer (NORA), e.g., "design a vegetarian meal plan below 1800 calories". Such requests may entail a set of constraints that the agent should adhere to...

Generative Agents: Interactive Simulacra of Human Behavior - 논문 리뷰

https://arxiv.org/abs/2304.03442 Generative Agents: Interactive Simulacra of Human BehaviorBelievable proxies of human behavior can empower interactive applications ranging from immersive environments to rehearsal spaces for interpersonal communication to prototyping tools. In this paper, we introduce generative agents--computational software agarxiv.org 음 본인 스스로를 정의했다는 것을 이 논문의 중심으로 봐야 할지, 상대방과..

AutoAgents: A Framework for Automatic Agent Generation - 논문 리뷰

https://arxiv.org/abs/2309.17288 AutoAgents: A Framework for Automatic Agent GenerationLarge language models (LLMs) have enabled remarkable advances in automated task-solving with multi-agent systems. However, most existing LLM-based multi-agent approaches rely on predefined agents to handle simple tasks, limiting the adaptability of multi-aarxiv.org 이 논문은 기존 에이전트들이 고정된 시스탬에서 돌아가는 한계를 지적하고, 그 한계..

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