cs.LG(2024-04-13)

📊 共 5 篇论文 | 🔗 1 篇有代码

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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 T-REX: Mixture-of-Rank-One-Experts with Semantic-aware Intuition for Multi-task Large Language Model Finetuning 提出T-REX以解决多任务大语言模型微调的适应性挑战 large language model
2 Large Language Model Empowered Next-Generation MIMO Networks: Fundamentals, Challenges, and Visions 提出生成式AI代理以解决下一代MIMO网络的智能化与可扩展性问题 large language model
3 Incremental Residual Concept Bottleneck Models 提出增量残差概念瓶颈模型以解决概念完整性问题 large language model multimodal

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

#题目一句话要点标签🔗
4 Navigating the Landscape of Large Language Models: A Comprehensive Review and Analysis of Paradigms and Fine-Tuning Strategies 综述大型语言模型的微调策略以提升任务适应性 distillation large language model
5 Deep Reinforcement Learning based Online Scheduling Policy for Deep Neural Network Multi-Tenant Multi-Accelerator Systems 提出RELMAS以解决深度神经网络多租户调度问题 reinforcement learning deep reinforcement learning

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