no code implementations • 18 Mar 2024 • Yong-Siang Shih, Manqian Liao, Ruidong Liu, Mirza Basim Baig
However, some concerns have been raised about the security of the online exams, particularly in the context of professional cheating services aiding malicious test takers in passing exams, forming so-called "cheating rings".
no code implementations • 9 Jul 2023 • Jie S. Li, Yow-Ting Shiue, Yong-Siang Shih, Jonas Geiping
SD Sampling uses text-to-image Stable Diffusion to generate multiple images from the given phrase, increasing the likelihood that a subset of images match the one that paired with the text.
no code implementations • 19 Oct 2019 • Yong-Siang Shih, Wei-Cheng Chang, Yiming Yang
While neural sequence generation models achieve initial success for many NLP applications, the canonical decoding procedure with left-to-right generation order (i. e., autoregressive) in one-pass can not reflect the true nature of human revising a sentence to obtain a refined result.
1 code implementation • 2 Dec 2017 • Yong-Siang Shih, Kai-Yueh Chang, Hsuan-Tien Lin, Min Sun
In our learned space, we introduce a novel Projected Compatibility Distance (PCD) function which is differentiable and ensures diversity by aiming for at least one prototype to be close to a compatible item, whereas none of the prototypes are close to an incompatible item.
no code implementations • COLING 2016 • Yong-Siang Shih, Hsin-Hsi Chen
In this paper, we investigate four important issues together for explicit discourse relation labelling in Chinese texts: (1) discourse connective extraction, (2) linking ambiguity resolution, (3) relation type disambiguation, and (4) argument boundary identification.