cs.AI（2025-01-09）

📊 共 13 篇论文

🎯 兴趣领域导航

支柱九：具身大模型 (Embodied Foundation Models) (8) 支柱二：RL算法与架构 (RL & Architecture) (4) 支柱一：机器人控制 (Robot Control) (1)

🔬 支柱九：具身大模型 (Embodied Foundation Models) (8 篇)

#题目一句话要点标签🔗⭐
1 Multimodal-to-Text Prompt Engineering in Large Language Models Using Feature Embeddings for GNSS Interference Characterization 提出基于多模态大语言模型的GNSS干扰特征提取与分类方法 large language model multimodal
2 Jailbreaking Multimodal Large Language Models via Shuffle Inconsistency 提出SI-Attack，利用多模态大语言模型shuffle不一致性进行jailbreak攻击 large language model multimodal
3 A General Retrieval-Augmented Generation Framework for Multimodal Case-Based Reasoning Applications 提出MCBR-RAG框架，用于多模态案例推理应用中的检索增强生成 large language model multimodal
4 RAG-WM: An Efficient Black-Box Watermarking Approach for Retrieval-Augmented Generation of Large Language Models 提出RAG-WM，一种高效的黑盒水印方法，用于检索增强生成大语言模型 large language model
5 Large language models streamline automated systematic review: A preliminary study 利用大型语言模型自动化系统评价任务的初步研究 large language model
6 Explore Activation Sparsity in Recurrent LLMs for Energy-Efficient Neuromorphic Computing 提出一种免训练激活稀疏化算法，提升循环LLM在神经形态硬件上的能效 large language model
7 From Scientific Texts to Verifiable Code: Automating the Process with Transformers 利用Transformer自动化科学文本到可验证代码的转换 large language model
8 A Novel Approach to Scalable and Automatic Topic-Controlled Question Generation in Education 提出主题控制问题生成（T-CQG）方法，提升教育场景下自动问题生成的质量与可控性。 large language model

🔬 支柱二：RL算法与架构 (RL & Architecture) (4 篇)

#题目一句话要点标签🔗⭐
9 A Text-Based Knowledge-Embedded Soft Sensing Modeling Approach for General Industrial Process Tasks Based on Large Language Model 提出LLM-TKESS框架，利用大语言模型解决工业过程软测量建模的通用性和小样本问题 representation learning large language model foundation model
10 Strategy Masking: A Method for Guardrails in Value-based Reinforcement Learning Agents 提出策略掩码方法，用于在基于价值的强化学习智能体中构建行为护栏。 reinforcement learning
11 AnCoGen: Analysis, Control and Generation of Speech with a Masked Autoencoder AnCoGen：利用掩码自编码器实现语音分析、控制与生成统一模型 masked autoencoder
12 Constrained Optimization of Charged Particle Tracking with Multi-Agent Reinforcement Learning 提出基于多智能体强化学习与约束优化的带电粒子径迹重建方法 reinforcement learning

🔬 支柱一：机器人控制 (Robot Control) (1 篇)

#题目一句话要点标签🔗⭐
13 Large Physics Models: Towards a collaborative approach with Large Language Models and Foundation Models 探索物理学专用大规模AI模型：结合大型语言模型与基础模型 manipulation large language model foundation model

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