Tag: Efficiency
All the articles with the tag "Efficiency".
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Less, but Better: Efficient Multilingual Expansion for LLMs via Layer-wise Mixture-of-Experts
本文提出LayerMoE算法,通过基于层间语言相似性的专家分配和路由分类器,实现了多语言LLM的高效扩展,以更少的参数显著提升新语言性能并减少旧语言遗忘。
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Task-Oriented Semantic Communication in Large Multimodal Models-based Vehicle Networks
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.
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SoLoPO: Unlocking Long-Context Capabilities in LLMs via Short-to-Long Preference Optimization
SoLoPO通过将长上下文偏好优化分解为短上下文优化和短到长奖励对齐,显著提升了大型语言模型在长上下文任务中的性能和训练效率,同时保持短上下文能力。
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You Do Not Fully Utilize Transformer's Representation Capacity
本文提出Layer-Integrated Memory (LIMe),通过学习跨层路由机制整合之前所有层的Key-Value表示,显著缓解Transformer的表示崩塌问题,并在语言建模、推理任务和深层网络中实现更快收敛和更高准确率。
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ShareLoRA: Parameter Efficient and Robust Large Language Model Fine-tuning via Shared Low-Rank Adaptation
ShareLoRA通过在模型层间共享低秩矩阵A或B,显著减少可训练参数量(相较LoRA减少44%-96%),并在多种模型和任务中保持甚至超越LoRA的性能,展现出高效性、适应性和跨域鲁棒性。