cs.AI(2024-12-31)

📊 共 9 篇论文

🎯 兴趣领域导航

支柱九:具身大模型 (Embodied Foundation Models) (7) 支柱二:RL算法与架构 (RL & Architecture) (2)

🔬 支柱九:具身大模型 (Embodied Foundation Models) (7 篇)

#题目一句话要点标签🔗
1 A Systematic Review of Machine Learning Methods for Multimodal EEG Data in Clinical Application 综述:机器学习方法在多模态脑电临床应用中的系统性研究 multimodal
2 Automatically Planning Optimal Parallel Strategy for Large Language Models 提出一种自动并行算法,为大规模语言模型规划最优并行策略,提升训练吞吐量。 large language model
3 Enabling New HDLs with Agents 提出HDLAgent,提升LLM在新型硬件描述语言上的应用能力 large language model
4 MCP-Solver: Integrating Language Models with Constraint Programming Systems MCP-Solver:通过模型上下文协议集成语言模型与约束编程系统 large language model
5 Adventures in Demand Analysis Using AI 利用AI多模态表征改进需求分析,提升价格弹性估计的准确性。 multimodal
6 SPDZCoder: Combining Expert Knowledge with LLMs for Generating Privacy-Computing Code SPDZCoder:结合专家知识与LLM生成隐私计算代码,无需额外训练数据。 large language model
7 The Potential of LLMs in Automating Software Testing: From Generation to Reporting 提出基于LLM的智能体框架,自动化软件测试流程,提升测试效率。 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🔗
8 Generative Emergent Communication: Large Language Model is a Collective World Model 提出生成式涌现通信框架,解释大语言模型如何学习集体世界模型。 reinforcement learning world model large language model
9 Enhancing Deployment-Time Predictive Model Robustness for Code Analysis and Optimization Prom:提升代码分析与优化中部署时预测模型的鲁棒性 predictive model

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