Papers by Yuzhang Liu

2 papers
Revealing the Parallel Multilingual Learning within Large Language Models (2024.emnlp-main)

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Challenge: Large language models (LLMs) can handle multilingual and cross-lingual text within a single input; however, previous studies focusing on using English as the pivot language to enhance language understanding and reasoning focus on using multiple languages.
Approach: They propose to use parallel multilingual input to enhance the model's comprehension of the input and to examine how multilingual processing affects prediction.
Outcome: The proposed model can handle multilingual and cross-lingual text within a single input, but previous studies focused on using English as the pivot language to enhance language understanding and reasoning.
AprilE: Attention with Pseudo Residual Connection for Knowledge Graph Embedding (2020.coling-main)

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Challenge: Existing knowledge graph embedding methods are difficult to model diverse relational patterns, especially symmetric and antisymmetric relations.
Approach: They propose a model which employs triple-level self-attention and pseudo residual connection to model relational patterns.
Outcome: The proposed model significantly outperforms state-of-the-art models on public datasets on symmetric and antisymmetric relations.

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