Tag: Agent
All the articles with the tag "Agent".
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MELON: Provable Indirect Prompt Injection Defense via Masked Re-execution and Tool Comparison
MELON introduces a novel training-free defense against indirect prompt injection attacks on LLM agents by detecting independence of tool calls from user inputs through masked re-execution, achieving superior attack prevention (0.24% ASR on GPT-4o) and utility preservation (58.78% UA on GPT-4o) compared to existing methods.
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Plan-and-Act: Improving Planning of Agents for Long-Horizon Tasks
本文提出PLAN-AND-ACT框架,通过分离规划和执行模块、利用合成数据训练和动态重规划,提高LLM代理在复杂长期任务中的性能,并在web导航基准上达到state-of-the-art结果。
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VLM Q-Learning: Aligning Vision-Language Models for Interactive Decision-Making
This paper introduces VLM Q-Learning, an offline-to-online reinforcement learning method that fine-tunes Vision-Language Models for interactive decision-making by filtering suboptimal actions with a critic head, achieving significant performance improvements over supervised fine-tuning across multiple multimodal agent tasks.
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LLM-Empowered Embodied Agent for Memory-Augmented Task Planning in Household Robotics
本文提出了一种基于LLM的代理编排机器人系统,通过模块化任务规划和RAG记忆检索实现家庭环境中长程任务的自主执行,并在三个场景中展示了较高的任务规划准确率和记忆召回改进。
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Monte Carlo Planning with Large Language Model for Text-Based Game Agents
本文提出MC-DML算法,通过整合大型语言模型的动态记忆机制与蒙特卡罗树搜索,提升文本-based游戏代理的规划效率和性能,实验结果显示其在初始阶段就优于需多次迭代的强基线。