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Chenlong Deng

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Towards Generalization of Block Attention via Automatic Segmentation and Block Distillation

This work constructs SemanticSeg, a large and diverse semantic segmentation dataset, and proposes block distillation, a training framework that is more efficient than block fine-tuning, which uses a frozen full-attention teacher model to guide the block-attention student.

Shuaiyi Li, Zhisong Zhang, Yan Wang et al. · 0 citations

InComeS: Integrating Compression and Selection Mechanisms into LLMs for Efficient Model Editing

InComeS is a flexible framework that enhances LLMs'ability to process editing contexts through explicit compression and selection mechanisms, enabling efficient handling of multiple edits without being restricted by the model's context window.

Shuaiyi Li, Zhisong Zhang, Yang Deng et al. · 1 citation

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