Tag: Efficiency

All the articles with the tag "Efficiency".

• Nonparametric learning of covariate-based Markov jump processes using RKHS techniques

  Published: 8 May, 2025 |  at  12:18 AM

  

  88.71 🤔

  本文提出了一种基于再生核希尔伯特空间（RKHS）的非参数化方法，通过频率学和贝叶斯框架建模连续时间马尔可夫链（CTMC）中协变量驱动的非线性转移率，显著提升了个体化状态转移预测的准确性。

• Task-Oriented Semantic Communication in Large Multimodal Models-based Vehicle Networks

  Published: 8 May, 2025 |  at  10:21 AM

  

  88.19 🤔

  This paper proposes a task-oriented semantic communication framework for LMM-based vehicle AI, using LLaVA with Semantic Matching for efficient image slicing and Fusion Attention-based power allocation to prioritize critical data transmission, achieving significant accuracy improvements (up to 33.1% at low SNR) in traffic VQA tasks.

• EMORL: Ensemble Multi-Objective Reinforcement Learning for Efficient and Flexible LLM Fine-Tuning

  Published: 7 May, 2025 |  at  09:32 AM

  

  87.79 🤔

  本文提出EMORL框架，通过集成学习分别训练单目标模型并在隐藏状态层聚合，结合分层网格搜索优化权重，在咨询反思生成任务中实现了与传统方法相当的性能，同时显著提升了训练效率、可扩展性和解释性。

• Sparse-Group Boosting with Balanced Selection Frequencies: A Simulation-Based Approach and R Implementation

  Published: 8 May, 2025 |  at  10:25 AM

  

  87.75 🤔

  This paper introduces sparse-group boosting and a simulation-based group balancing algorithm within the 'sgboost' R package to mitigate variable selection bias in high-dimensional grouped data, demonstrating improved fairness and interpretability through simulations and ecological data analysis.

• RADLADS: Rapid Attention Distillation to Linear Attention Decoders at Scale

  Published: 8 May, 2025 |  at  06:17 PM

  

  87.73 🤔

  RADLADS introduces a cost-effective three-step distillation protocol to convert softmax attention transformers into linear attention models using only 350-700M tokens, achieving near-teacher performance on benchmarks and setting a new state-of-the-art for pure RNNs with models up to 72B parameters.