Mozhi Zhang

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 26

Top Topics

Indian Languages

Artifact Reduction

Top Venues

Knowl. Based Syst.

Publications

Mozhi Zhang, Mianqiu Huang, Rundong Shi, Linsen Guo, Chong Peng, Peng Yan, Yaqian Zhou, Xipeng Qiu
Calibrating the Confidence of Large Language Models by Eliciting Fidelity. CoRR (2024)
Qinyuan Cheng, Tianxiang Sun, Wenwei Zhang, Siyin Wang, Xiangyang Liu, Mozhi Zhang, Junliang He, Mianqiu Huang, Zhangyue Yin, Kai Chen, Xipeng Qiu
Evaluating Hallucinations in Chinese Large Language Models. CoRR (2023)
Kyle Seelman, Mozhi Zhang, Jordan L. Boyd-Graber
Labeled Interactive Topic Models. CoRR (2023)
Mozhi Zhang, Hang Yan, Yaqian Zhou, Xipeng Qiu
PromptNER: A Prompting Method for Few-shot Named Entity Recognition via k Nearest Neighbor Search. CoRR (2023)
Jingbo He, Xiaohai He, Mozhi Zhang, Shuhua Xiong, Honggang Chen
Deep dual-domain semi-blind network for compressed image quality enhancement. Knowl. Based Syst. 238 (2022)
Qiang Liu, Xiaohai He, Mozhi Zhang, Qizhi Teng, Bo Li, Linbo Qing
Feature separation and double causal comparison loss for visible and infrared person re-identification. Knowl. Based Syst. 239 (2022)
Xin Shuai, Linbo Qing, Mozhi Zhang, Weiheng Sun, Xiaohai He
A video compression artifact reduction approach combined with quantization parameters estimation. J. Supercomput. 78 (11) (2022)
Luping Liu, Meiling Wang, Mozhi Zhang, Linbo Qing, Xiaohai He
UAMNer: uncertainty-aware multimodal named entity recognition in social media posts. Appl. Intell. 52 (4) (2022)
Jingling Li, Mozhi Zhang, Keyulu Xu, John Dickerson, Jimmy Ba
How does a Neural Network's Architecture Impact its Robustness to Noisy Labels? NeurIPS (2021)
Keyulu Xu, Mozhi Zhang, Stefanie Jegelka, Kenji Kawaguchi
Optimization of Graph Neural Networks: Implicit Acceleration by Skip Connections and More Depth. CoRR (2021)
Keyulu Xu, Mozhi Zhang, Jingling Li, Simon Shaolei Du, Ken-ichi Kawarabayashi, Stefanie Jegelka
How Neural Networks Extrapolate: From Feedforward to Graph Neural Networks. ICLR (2021)
Mozhi Zhang, Wei Wang, Budhaditya Deb, Guoqing Zheng, Milad Shokouhi, Ahmed Hassan Awadallah
A Dataset and Baselines for Multilingual Reply Suggestion. CoRR (2021)
Mozhi Zhang, Wei Wang, Budhaditya Deb, Guoqing Zheng, Milad Shokouhi, Ahmed Hassan Awadallah
A Dataset and Baselines for Multilingual Reply Suggestion. ACL/IJCNLP (1) (2021)
Keyulu Xu, Mozhi Zhang, Stefanie Jegelka, Kenji Kawaguchi
Optimization of Graph Neural Networks: Implicit Acceleration by Skip Connections and More Depth. ICML (2021)
Mozhi Zhang, Yoshinari Fujinuma, Jordan L. Boyd-Graber
Exploiting Cross-Lingual Subword Similarities in Low-Resource Document Classification. AAAI (2020)
Michelle Yuan, Mozhi Zhang, Benjamin Van Durme, Leah Findlater, Jordan L. Boyd-Graber
Interactive Refinement of Cross-Lingual Word Embeddings. EMNLP (1) (2020)
Mozhi Zhang, Yoshinari Fujinuma, Michael J. Paul, Jordan L. Boyd-Graber
Why Overfitting Isn't Always Bad: Retrofitting Cross-Lingual Word Embeddings to Dictionaries. ACL (2020)
Mozhi Zhang, Yoshinari Fujinuma, Michael J. Paul, Jordan L. Boyd-Graber
Why Overfitting Isn't Always Bad: Retrofitting Cross-Lingual Word Embeddings to Dictionaries. CoRR (2020)
Jingling Li, Mozhi Zhang, Keyulu Xu, John P. Dickerson, Jimmy Ba
Noisy Labels Can Induce Good Representations. CoRR (2020)
Keyulu Xu, Jingling Li, Mozhi Zhang, Simon S. Du, Ken-ichi Kawarabayashi, Stefanie Jegelka
What Can Neural Networks Reason About? ICLR (2020)
Keyulu Xu, Jingling Li, Mozhi Zhang, Simon S. Du, Ken-ichi Kawarabayashi, Stefanie Jegelka
How Neural Networks Extrapolate: From Feedforward to Graph Neural Networks. CoRR (2020)
Keyulu Xu, Jingling Li, Mozhi Zhang, Simon S. Du, Ken-ichi Kawarabayashi, Stefanie Jegelka
What Can Neural Networks Reason About? CoRR (2019)
Michelle Yuan, Mozhi Zhang, Benjamin Van Durme, Leah Findlater, Jordan L. Boyd-Graber
Interactive Refinement of Cross-Lingual Word Embeddings. CoRR (2019)
Mozhi Zhang, Keyulu Xu, Ken-ichi Kawarabayashi, Stefanie Jegelka, Jordan L. Boyd-Graber
Are Girls Neko or Shōjo? Cross-Lingual Alignment of Non-Isomorphic Embeddings with Iterative Normalization. ACL (1) (2019)
Mozhi Zhang, Keyulu Xu, Ken-ichi Kawarabayashi, Stefanie Jegelka, Jordan L. Boyd-Graber
Are Girls Neko or Shōjo? Cross-Lingual Alignment of Non-Isomorphic Embeddings with Iterative Normalization. CoRR (2019)
Mozhi Zhang, Yoshinari Fujinuma, Jordan L. Boyd-Graber
Exploiting Cross-Lingual Subword Similarities in Low-Resource Document Classification. CoRR (2018)