Papers by Zhongyi Yu

2 papers
LenAtten: An Effective Length Controlling Unit For Text Summarization (2021.findings-acl)

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Challenge: Fixed length summarization (FLS) requires generating summaries with a preset number of characters or words.
Approach: They propose a length control unit called LenAtten to break this trade-off by generating a short and coherent summary with the target length.
Outcome: The proposed model improves controllability and ROGUE scores and generalizes well.
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.

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