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Found 5 papers, 1 papers with code
Enhancing Efficiency in Sparse Models with Sparser Selection
To address this issue, we present \tool, a novel MoE designed to enhance both the efficacy and efficiency of sparse MoE models.
JIANG: Chinese Open Foundation Language Model
With the advancements in large language model technology, it has showcased capabilities that come close to those of human beings across various tasks.
CoCoSoDa: Effective Contrastive Learning for Code Search
However, there is still a lot of room for improvement in using contrastive learning for code search.
Accelerating Code Search with Deep Hashing and Code Classification
Code search is to search reusable code snippets from source code corpus based on natural languages queries.
Source Code Summarization with Structural Relative Position Guided Transformer
We further show that how the proposed SCRIPT captures the structural relative dependencies.
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