cs.AI(2025-09-21)

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支柱九:具身大模型 (Embodied Foundation Models) (3 🔗1) 支柱二:RL算法与架构 (RL & Architecture) (2)

🔬 支柱九:具身大模型 (Embodied Foundation Models) (3 篇)

#题目一句话要点标签🔗
1 seqBench: A Tunable Benchmark to Quantify Sequential Reasoning Limits of LLMs seqBench:可调基准测试,量化LLM的序列推理能力极限 large language model
2 AdaptiveGuard: Towards Adaptive Runtime Safety for LLM-Powered Software AdaptiveGuard:面向LLM软件的自适应运行时安全防护 large language model
3 The Principles of Human-like Conscious Machine 提出类人意识机器的充分性判据与设计原则,为构建真正类人AI提供理论基础。 large language model

🔬 支柱二:RL算法与架构 (RL & Architecture) (2 篇)

#题目一句话要点标签🔗
4 Large Language Models as End-to-end Combinatorial Optimization Solvers 提出基于LLM的端到端组合优化求解器,无需代码生成或调用外部求解器。 reinforcement learning large language model
5 LLMs as Layout Designers: Enhanced Spatial Reasoning for Content-Aware Layout Generation LaySPA:增强空间推理能力,利用LLM进行内容感知布局生成 reinforcement learning spatial relationship large language model

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