Papers by Yong Choi

2 papers
Bidirectional Masked Self-attention and N-gram Span Attention for Constituency Parsing (2023.findings-emnlp)

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Challenge: Existing attention mechanisms for constituency parsing lack directional information needed to form sentence spans.
Approach: They propose a bidirectional masked and N-gram span Attention model which captures the explicit dependencies between each word and enhances the representation of the output span vectors.
Outcome: The proposed model achieves state-of-the-art performance on the Penn Treebank and Chinese Penn TreeBank datasets with F1 scores of 96.47 and 94.15 respectively.
SQuARe: A Large-Scale Dataset of Sensitive Questions and Acceptable Responses Created through Human-Machine Collaboration (2023.acl-long)

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Challenge: Existing studies focus on coping with social harms that large language models pose . however, discussions on sensitive issues can become toxic even if the users are well-intentioned.
Approach: They propose to use Korean dataset to test whether LLMs can generate offensive content and propagate prejudices.
Outcome: The proposed dataset shows that acceptable response generation improves for HyperCLOVA and GPT-3.

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