cs.LG(2024-01-24)

📊 共 11 篇论文 | 🔗 1 篇有代码

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支柱九:具身大模型 (Embodied Foundation Models) (8) 支柱二:RL算法与架构 (RL & Architecture) (3 🔗1)

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

#题目一句话要点标签🔗
1 SpacTor-T5: Pre-training T5 Models with Span Corruption and Replaced Token Detection 提出SpacTor-T5以提高大语言模型预训练效率 large language model
2 VisualWebArena: Evaluating Multimodal Agents on Realistic Visual Web Tasks 提出VisualWebArena以评估多模态代理在视觉网络任务中的表现 multimodal
3 What Large Language Models Know and What People Think They Know 提出改进LLM解释以缩小用户信心与模型信心差距 large language model
4 Supporting Sensemaking of Large Language Model Outputs at Scale 提出多响应展示方法以支持大语言模型输出的理解 large language model
5 Speech foundation models on intelligibility prediction for hearing-impaired listeners 提出轻量化预测模型以提升听障人士的语音可懂度 foundation model
6 Masked Particle Modeling on Sets: Towards Self-Supervised High Energy Physics Foundation Models 提出Masked Particle Modeling以解决高能物理数据表示学习问题 foundation model
7 Finetuning Foundation Models for Joint Analysis Optimization 提出联合分析优化的基础模型微调方法以提升高能物理性能 foundation model
8 Prompt Design and Engineering: Introduction and Advanced Methods 提出提示设计与工程方法以优化大型语言模型的应用 large language model chain-of-thought

🔬 支柱二:RL算法与架构 (RL & Architecture) (3 篇)

#题目一句话要点标签🔗
9 EMP: Effective Multidimensional Persistence for Graph Representation Learning 提出有效的多维持久性框架以解决图表示学习中的数据分析问题 representation learning
10 The Definitive Guide to Policy Gradients in Deep Reinforcement Learning: Theory, Algorithms and Implementations 全面概述深度强化学习中的策略梯度算法 reinforcement learning deep reinforcement learning
11 Symbolic Equation Solving via Reinforcement Learning 提出基于强化学习的符号方程求解方法 reinforcement learning

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