| 15 |
FacePlex: Full-Duplex Joint Speech-Facial Motion Generation for Conversational Avatars |
提出FacePlex以解决实时语音与面部动作同步生成问题 |
flow matching motion generation |
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| 16 |
Data-Efficient Multimodal Alignment for Histopathology-based Molecular Prediction |
提出数据高效的多模态对齐方法以实现组织病理学分子预测 |
contrastive learning open-vocabulary open vocabulary |
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| 17 |
Exploration and Online Transfer with Behavioral Foundation Models |
提出在线转移方法以解决零-shot强化学习中的探索问题 |
reinforcement learning foundation model zero-shot transfer |
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| 18 |
Toward Secure and Reliable PDDL Formalization of Large Language Models with Planner-in-the-Loop Feedback |
提出NL-PDDL-Bench以解决大型语言模型的安全性与可靠性问题 |
direct preference optimization large language model |
✅ |
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| 19 |
GUICrafter: Weakly-Supervised GUI Agent Leveraging Massive Unannotated Screenshots |
提出GUICrafter以解决GUI代理数据收集困难问题 |
reinforcement learning curriculum learning foundation model |
✅ |
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| 20 |
Self-Evolving World Models for LLM Agent Planning |
提出自演化世界模型以提升LLM代理规划能力 |
world model world models |
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| 21 |
DOPD: Dual On-policy Distillation |
提出DOPD以解决蒸馏过程中的特权幻觉问题 |
distillation privileged information large language model |
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| 22 |
The CRISTAL Method: Neurosymbolic analysis from AI-synthesized world models |
提出CRISTAL方法以解决复杂分析工作流自动化问题 |
world model world models |
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| 23 |
Be Faithful When Response: Returning Fluent and Grounded Answers for Vision-Language Models Reinforcement Learning |
提出Faithful Warm-Start策略以解决视觉语言模型的推理不稳定问题 |
reinforcement learning multimodal |
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| 24 |
Hierarchical Reinforcement Learning in StarCraft Micromanagement with Influence Maps and Cluster-based Scripts |
提出HRL-IM/CBS框架以解决StarCraft微观管理中的决策透明性问题 |
reinforcement learning |
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| 25 |
ACPO: Agent-Chained Policy Optimization for Multi-Agent Reinforcement Learning |
提出ACPO以解决多智能体强化学习中的策略优化问题 |
reinforcement learning |
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| 26 |
Semi-Supervised Sound Event Detection with Conditional Mixup and Embedding-Level Contrastive Loss |
提出条件混合与嵌入级对比损失以解决声事件检测数据稀缺问题 |
contrastive learning foundation model |
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| 27 |
HERO: Improving the Reliability and Sensitivity of Generative Model Evaluation Using Historical Data |
提出HERO框架以提高生成模型评估的可靠性与敏感性 |
world model world models |
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