cs.AI(2024-09-07)

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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) (1)

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

#题目一句话要点标签🔗
1 Unlocking Potential Binders: Multimodal Pretraining DEL-Fusion for Denoising DNA-Encoded Libraries 提出多模态预训练DEL-Fusion模型,用于DNA编码化合物库的去噪和潜在结合物识别 multimodal
2 MILE: A Mutation Testing Framework of In-Context Learning Systems 提出MILE框架,用于ICL系统测试数据质量评估与有效性分析 large language model
3 MuAP: Multi-step Adaptive Prompt Learning for Vision-Language Model with Missing Modality 提出MuAP框架,解决视觉-语言模型在模态缺失下的prompt学习敏感性问题。 multimodal

🔬 支柱二:RL算法与架构 (RL & Architecture) (1 篇)

#题目一句话要点标签🔗
4 Reinforcement Learning-Based Adaptive Load Balancing for Dynamic Cloud Environments 提出基于强化学习的自适应负载均衡框架,优化动态云环境资源利用 reinforcement learning

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