Search Results for author: Zijie Zeng

Found 4 papers, 1 papers with code

Do Deep Neural Nets Display Human-like Attention in Short Answer Scoring?

no code implementations NAACL 2022 Zijie Zeng, Xinyu Li, Dragan Gasevic, Guanliang Chen

Deep Learning (DL) techniques have been increasingly adopted for Automatic Text Scoring in education.

Towards Detecting AI-Generated Text within Human-AI Collaborative Hybrid Texts

no code implementations6 Mar 2024 Zijie Zeng, Shiqi Liu, Lele Sha, Zhuang Li, Kaixun Yang, Sannyuya Liu, Dragan Gašević, Guanliang Chen

Our empirical findings highlight (1) detecting AI-generated sentences in hybrid texts is overall a challenging task because (1. 1) human writers' selecting and even editing AI-generated sentences based on personal preferences adds difficulty in identifying the authorship of segments; (1. 2) the frequent change of authorship between neighboring sentences within the hybrid text creates difficulties for segment detectors in identifying authorship-consistent segments; (1. 3) the short length of text segments within hybrid texts provides limited stylistic cues for reliable authorship determination; (2) before embarking on the detection process, it is beneficial to assess the average length of segments within the hybrid text.

Sentence Sentence Classification +2

Towards Automatic Boundary Detection for Human-AI Collaborative Hybrid Essay in Education

2 code implementations23 Jul 2023 Zijie Zeng, Lele Sha, Yuheng Li, Kaixun Yang, Dragan Gašević, Guanliang Chen

Then we proposed a two-step approach where we (1) separated AI-generated content from human-written content during the encoder training process; and (2) calculated the distances between every two adjacent prototypes and assumed that the boundaries exist between the two adjacent prototypes that have the furthest distance from each other.

Boundary Detection Text Detection

PAS: A Position-Aware Similarity Measurement for Sequential Recommendation

no code implementations14 May 2022 Zijie Zeng, Jing Lin, Weike Pan, Zhong Ming, Zhongqi Lu

The common item-based collaborative filtering framework becomes a typical recommendation method when equipped with a certain item-to-item similarity measurement.

Collaborative Filtering Position +1

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