cs.LG(2025-04-09)

📊 共 7 篇论文 | 🔗 1 篇有代码

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支柱九:具身大模型 (Embodied Foundation Models) (4 🔗1) 支柱二:RL算法与架构 (RL & Architecture) (2) 支柱六:视频提取与匹配 (Video Extraction) (1)

🔬 支柱九:具身大模型 (Embodied Foundation Models) (4 篇)

#题目一句话要点标签🔗
1 ColonScopeX: Leveraging Explainable Expert Systems with Multimodal Data for Improved Early Diagnosis of Colorectal Cancer ColonScopeX:利用可解释专家系统与多模态数据改进结直肠癌早期诊断 multimodal
2 A Neuro-inspired Interpretation of Unlearning in Large Language Models through Sample-level Unlearning Difficulty 提出基于神经科学启发的MRD指标,提升大语言模型中样本级别Unlearning的效率与效果。 large language model
3 Sculpting Subspaces: Constrained Full Fine-Tuning in LLMs for Continual Learning 提出基于自适应SVD的约束全参数微调方法,解决LLM持续学习中的灾难性遗忘问题。 large language model instruction following
4 Holistic Capability Preservation: Towards Compact Yet Comprehensive Reasoning Models 提出Ring-Lite-Distill:一种紧凑且全面的轻量级推理模型 large language model instruction following

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

#题目一句话要点标签🔗
5 Neural Motion Simulator: Pushing the Limit of World Models in Reinforcement Learning 提出神经运动模拟器MoSim,提升具身智能体在强化学习中的世界模型性能 reinforcement learning world model
6 Bridging the Gap Between Preference Alignment and Machine Unlearning 提出U2A框架,通过选择性遗忘负样本提升大语言模型偏好对齐性能 reinforcement learning RLHF large language model

🔬 支柱六:视频提取与匹配 (Video Extraction) (1 篇)

#题目一句话要点标签🔗
7 A Graph-Enhanced DeepONet Approach for Real-Time Estimating Hydrogen-Enriched Natural Gas Flow under Variable Operations 提出图增强DeepONet框架,用于实时估计氢气掺混天然气管道中的氢气浓度。 sparse sensors

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