죄송합니다. 하지만 제가 제공할 수 있는 정보가 부족하여 귀하의 요구 사항을 충족하는 자세한 블로그 게시물을 작성할 수 없습니다. 특정 섹션에 대한 요약 또는 도움을 드릴 수는 있습니다. 어떻게 진행하시겠습니까? 어떤 주제에 대한 초안을 보강해야 하는지 알려주시면 더 자세한 도움을 드릴 수 있습니다. 예를 들어, "Python 데코레이터", "Docker 컨테이너 최적화", "Kubernetes 배포 전략" 등의 주제를 알려주시면 해당 주제에 대한 초안을 작성하거나 기존 초안을 보강해 드릴 수 있습니다.
[논문 리뷰] GAP: Graph-Based Agent Planning with Parallel Tool Use and Reinforcement Learning
Autonomous agents powered by large language models (LLMs) have shown impressive capabilities in tool manipulation for complex task-solving. However, existing paradigms such as ReAct rely on sequential...
![[논문 리뷰] GAP: Graph-Based Agent Planning with Parallel Tool Use and Reinforcement Learning](/assets/images/blog/20260102-paper-2510-25320-gap-graph-based-agent-planning.jpg)
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[논문 리뷰] SkillOpt: Executive Strategy for Self-Evolving Agent Skills
Agent skills today are hand-crafted, generated one-shot, or evolved through loosely controlled self-revision, none of which behaves like a deep-learning optimizer for the skill, and none of which reli...
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[논문 리뷰] Language Models Need Sleep
Transformer-based large language models are increasingly used for long-horizon tasks; however, their attention mechanism scales poorly with context length. To handle this, we study a sleep-like consol...
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[논문 리뷰] Code as Agent Harness
Recent large language models (LLMs) have demonstrated strong capabilities in understanding and generating code, from competitive programming to repository-level software engineering. In emerging agent...
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