Tag: Agent
All the articles with the tag "Agent".
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Putting It All into Context: Simplifying Agents with LCLMs
本文提出基于长上下文语言模型(LCLM)的‘state-in-context’代理设计,通过将整个环境状态纳入上下文简化软件工程任务的代理架构,在SWE-bench Verified上实现与复杂脚手架方法相当的性能(Gemini-2.5-Pro达到50.8% pass@1)。
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Agentic Reasoning and Tool Integration for LLMs via Reinforcement Learning
ARTIST, a novel framework unifying agentic reasoning, reinforcement learning, and tool integration, enables LLMs to autonomously orchestrate external tools within multi-turn reasoning, achieving up to 22% accuracy gains on complex math tasks and significant improvements in multi-turn function calling over baselines.
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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。