cs.AI（2025-04-27）

📊 共 12 篇论文 | 🔗 1 篇有代码

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支柱九：具身大模型 (Embodied Foundation Models) (9 🔗1) 支柱二：RL算法与架构 (RL & Architecture) (2) 支柱一：机器人控制 (Robot Control) (1)

🔬 支柱九：具身大模型 (Embodied Foundation Models) (9 篇)

#题目一句话要点标签🔗⭐
1 The Convergent Ethics of AI? Analyzing Moral Foundation Priorities in Large Language Models with a Multi-Framework Approach 提出PRIME框架，多维度评估大语言模型伦理推理能力，揭示模型道德偏好趋同性。 large language model
2 PlanetServe: A Decentralized, Scalable, and Privacy-Preserving Overlay for Democratizing Large Language Model Serving PlanetServe：提出GenTorrent，实现去中心化、可扩展且保护隐私的大语言模型服务。 large language model
3 SAGA: A Security Architecture for Governing AI Agentic Systems SAGA：一种用于管理AI Agentic系统的安全架构 large language model
4 Selecting the Right LLM for eGov Explanations 针对电子政务解释，提出LLM选择方法，提升用户信任与服务使用率 large language model
5 From Inductive to Deductive: LLMs-Based Qualitative Data Analysis in Requirements Engineering 利用大型语言模型进行需求工程中的定性数据分析，提升效率与一致性。 large language model
6 Small Models, Big Tasks: An Exploratory Empirical Study on Small Language Models for Function Calling 探索性研究：小型语言模型在函数调用任务中的应用潜力与局限性 large language model
7 ChiseLLM: Unleashing the Power of Reasoning LLMs for Chisel Agile Hardware Development ChiseLLM：利用推理LLM加速Chisel敏捷硬件开发 large language model ✅
8 VeriDebug: A Unified LLM for Verilog Debugging via Contrastive Embedding and Guided Correction VeriDebug：基于对比嵌入和引导修正的统一LLM用于Verilog调试 large language model
9 CipherBank: Exploring the Boundary of LLM Reasoning Capabilities through Cryptography Challenges CipherBank：通过密码学挑战探索大语言模型推理能力的边界 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🔗⭐
10 LLMs for Engineering: Teaching Models to Design High Powered Rockets 利用强化学习增强的大语言模型用于高功率火箭设计优化 reinforcement learning large language model foundation model
11 BQSched: A Non-intrusive Scheduler for Batch Concurrent Queries via Reinforcement Learning BQSched：一种基于强化学习的非侵入式批量并发查询调度器 reinforcement learning PPO

🔬 支柱一：机器人控制 (Robot Control) (1 篇)

#题目一句话要点标签🔗⭐
12 Personalized Artificial General Intelligence (AGI) via Neuroscience-Inspired Continuous Learning Systems 提出神经科学启发的持续学习系统，实现个性化通用人工智能 humanoid humanoid robot embodied AI

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