cs.LG(2025-07-22)

📊 共 5 篇论文

🎯 兴趣领域导航

支柱九:具身大模型 (Embodied Foundation Models) (3) 支柱二:RL算法与架构 (RL & Architecture) (2)

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

#题目一句话要点标签🔗
1 CIMR: Contextualized Iterative Multimodal Reasoning for Robust Instruction Following in LVLMs CIMR:上下文迭代多模态推理,提升LVLM在复杂指令跟随任务中的鲁棒性 large language model multimodal instruction following
2 SiLQ: Simple Large Language Model Quantization-Aware Training SiLQ:一种简易的大语言模型量化感知训练方法,显著提升量化模型精度。 large language model
3 Steering Out-of-Distribution Generalization with Concept Ablation Fine-Tuning 提出概念消融微调(CAFT),无需修改训练数据即可引导LLM的分布外泛化。 large language model

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

#题目一句话要点标签🔗
4 Scaling Linear Attention with Sparse State Expansion 提出基于稀疏状态扩展的线性注意力机制,有效处理长上下文建模问题。 reinforcement learning linear attention
5 Sensor Drift Compensation in Electronic-Nose-Based Gas Recognition Using Knowledge Distillation 提出基于知识蒸馏的电子鼻传感器漂移补偿方法,显著提升气体识别精度。 distillation

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