Papers by Shitou Zhang

2 papers
HyperLoRA: Efficient Cross-task Generalization via Constrained Low-Rank Adapters Generation (2024.findings-emnlp)

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Challenge: Existing approaches to adapt pre-trained language models (PLMs) to emerging tasks are costly and inefficient.
Approach: They propose a meta-network that generates task-specific weights without any optimization.
Outcome: The proposed approach has flexible generalization ability and superior performance over hypenetworks.
Enhancing Ancient Chinese Understanding with Derived Noisy Syntax Trees (2023.acl-srw)

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Challenge: Syntactic information is not used in modern Chinese understanding tasks due to the lack of syntactical annotation.
Approach: They propose a confidence-based syntax encoding network to alleviate the side effects of unsupervised syntax derivation and the incompatibility between ancient and modern Chinese.
Outcome: The proposed component alleviates side effects from unsupervised syntax derivation and incompatibility between ancient and modern Chinese.

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