| 1 |
Physics-Distilled Neural Network enabled by Large Language Models for Manufacturing Process-Property Predictive Modeling |
提出基于大型语言模型的物理蒸馏神经网络以解决制造过程属性预测问题 |
predictive model distillation large language model |
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| 2 |
RePAIR: Predictive Self-Supervised Representation Learning in Chess |
提出RePAIR以解决棋类游戏表示学习问题 |
reinforcement learning JEPA Joint-Embedding Predictive Architecture |
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| 3 |
IAPO: Input Attribution-Aware Policy Optimization for Tool Use in Small Multimodal Agents |
提出IAPO以解决小型多模态代理工具调用能力不足问题 |
reinforcement learning reward design multimodal |
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| 4 |
Latent World Recovery for Multimodal Learning with Missing Modalities |
提出潜在世界恢复框架以解决多模态学习中的缺失模态问题 |
representation learning multimodal |
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| 5 |
Space-sampled Value Decay: Forgetting Mechanisms for Non-stationary Deep Reinforcement Learning |
提出空间采样值衰减机制以解决非平稳深度强化学习问题 |
reinforcement learning deep reinforcement learning SAC |
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| 6 |
Multimodal Ordinal Modeling of Alzheimer's Disease Severity Using Structural MRI and Clinical Data |
提出多模态序数建模方法以自动评估阿尔茨海默病严重性 |
MAE multimodal |
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| 7 |
RLCSD: Reinforcement Learning with Contrastive On-Policy Self-Distillation |
提出RLCSD以解决OPSD中的特权诱导风格漂移问题 |
reinforcement learning teacher-student distillation |
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| 8 |
APEX: A Network-Native Time-Series Foundation Model for Forecasting and Anomaly Detection for Wireless Edge Operations |
提出APEX以解决无线网络遥测预测与异常检测问题 |
MAE foundation model |
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| 9 |
On Subquadratic Architectures: From Applications to Principles |
提出xLSTM以解决变换器模型的计算复杂性问题 |
Mamba distillation large language model |
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| 10 |
Generalization Hacking: Models Can Game Reinforcement Learning by Preventing Behavioral Generalization |
提出一般化黑客技术以解决强化学习中的行为泛化问题 |
reinforcement learning chain-of-thought |
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| 11 |
APPO: Agentic Procedural Policy Optimization |
提出APPO以优化代理强化学习中的决策分支与信用分配问题 |
reinforcement learning large language model |
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| 12 |
Breaking Entropy Bounds: Accelerating RL Training via MTP with Rejection Sampling |
提出Bebop以解决强化学习训练中的MTP接受率瓶颈问题 |
reinforcement learning large language model |
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| 13 |
Reinforcement Learning Disrupts Gradient-Based Adversarial Optimization |
提出强化学习以干扰基于梯度的对抗优化 |
reinforcement learning |
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| 14 |
Phase Transitions in Attention: A Bayesian Theory of Copy Head Emergence |
提出贝叶斯理论解释注意力机制中的复制子电路出现 |
linear attention large language model |
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| 15 |
Spectrally Regularized Latent Flow Matching for Turbulence Generation |
提出光谱正则化潜在流匹配以解决湍流生成问题 |
flow matching |
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| 16 |
When Context Returns: Toward Robust Internalization in On-Policy Distillation |
提出轻量级一致性正则化以解决上下文引起的性能下降问题 |
distillation |
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