Papers by Yiyang Hou

3 papers
Universal Semantic Tagging for English and Mandarin Chinese (2021.naacl-main)

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Challenge: Existing approaches to generating semantic annotations for different languages are attracting more and more interest.
Approach: They propose to extend Universal Semantic Tagging to Mandarin Chinese and evaluate its performance.
Outcome: The proposed scheme is only tested in four Indo–European languages . accuracies are 92.7% and 94.6% for Chinese and English respectively .
Lost in Overlap: Exploring Logit-based Watermark Collision in LLMs (2025.findings-naacl)

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Challenge: Existing watermarking methods embed imperceptible identifiers into text to address copyright concerns.
Approach: They propose a new philosophy for watermark attacks that addresses watermark collision . they demonstrate that collision poses a threat to all logit-based watermark algorithms .
Outcome: The proposed method improves watermark collision performance on top of other methods.
Unveiling the Art of Heading Design: A Harmonious Blend of Summarization, Neology, and Algorithm (2024.findings-acl)

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Challenge: Creating an appealing heading is crucial for attracting readers and marketing work or products.
Approach: They propose a benchmark to measure the quality of heading generation using summarization, neology, and algorithm metrics.
Outcome: The proposed benchmark compared 6,653 abstracts with corresponding descriptions and acronyms and found that it excels across summarization, neology, and algorithm aspects.

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