Papers by Shilei Huang

2 papers
LAMCL: A Length-aware Momentum Contrastive Learning Framework for Multiscale Machine-Revised Text Detection (2026.acl-long)

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Challenge: Recent detection methods struggle to capture fine-grained semantic differences, especially for short texts.
Approach: They propose a framework for machine-revised text detection that integrates two modules to enhance discriminative semantic features.
Outcome: The proposed method outperforms existing detectors in identifying machine-revised text across diverse practical scenarios, tasks, and LLMs.
A Pragmatic Approach for Classical Chinese Word Segmentation (L18-1)

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Challenge: Classical Chinese word segmentation is largely neglected due to its obsoleteness . a new approach to segmentation using a marked-up corpus is needed .
Approach: They propose a pragmatic approach to deal with Classical Chinese word segmentation without any marked-up corpus.
Outcome: The proposed method makes the CCWS without any marked-up corpus more accurate compared with collocation-based methods.

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