no code implementations • 14 Nov 2023 • Zi Yin, Wei Ding, Jia Liu
Large Language Models (LLMs) are central to a multitude of applications but struggle with significant risks, notably in generating harmful content and biases.
no code implementations • 18 Jul 2023 • Xuena Wang, Xueting Li, Zi Yin, Yue Wu, Liu Jia
Specifically, we first developed a novel psychometric assessment focusing on Emotion Understanding (EU), a core component of EI, suitable for both humans and LLMs.
1 code implementation • 12 Feb 2020 • Zi Yin, Valentin Yiu, Xiaolin Hu, Liang Tang
Face parsing is an important computer vision task that requires accurate pixel segmentation of facial parts (such as eyes, nose, mouth, etc.
2 code implementations • NeurIPS 2018 • Zi Yin, Vin Sachidananda, Balaji Prabhakar
We show both theoretically and empirically that the global anchor method is equivalent to the alignment method, a widely-used method for comparing word embeddings, in terms of detecting corpus-level language shifts.
3 code implementations • NeurIPS 2018 • Zi Yin, Yuanyuan Shen
In this paper, we provide a theoretical understanding of word embedding and its dimensionality.
1 code implementation • 1 Mar 2018 • Zi Yin
We demonstrate that the PIP loss captures the difference in functionality between embeddings, and that the PIP loss is tightly connect with two basic properties of vector embeddings, namely similarity and compositionality.
no code implementations • 18 Jul 2017 • Zi Yin, Keng-hao Chang, Ruofei Zhang
Three applications, namely a rewritter, a relevance scorer and a chatbot for ad recommendation, were built around DeepProbe, with the first two serving as precursory building blocks for the third.