Papers by Yunqing Liu

2 papers
Improving User Controlled Table-To-Text Generation Robustness (2023.findings-eacl)

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Challenge: In experiments, models perform well on test sets coming from the same distribution as the train data but their performance drops when evaluated on realistic noisy user inputs.
Approach: They propose a user controlled table-to-text generation task where users explore the content in a table by selecting cells and reading a natural language description thereof.
Outcome: The proposed model gains 4.85 BLEU points on user noisy test cases and 1.4 on clean test cases.
GLProtein: Global-and-Local Structure Aware Protein Representation Learning (2025.findings-emnlp)

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Challenge: Despite advances in protein sequence analysis, there remains potential for further exploration in integrating protein structural information.
Approach: They propose a framework that integrates global structural similarity and local amino acid details to enhance protein pre-training.
Outcome: The proposed framework outperforms existing methods in several bioinformatics tasks.

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