Mozhi Zhang

According to our database, Mozhi Zhang authored at least 21 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

LongSafetyBench: Long-Context LLMs Struggle with Safety Issues.

Mianqiu Huang, Xiaoran Liu, Shaojun Zhou, Mozhi Zhang, Chenkun Tan, Pengyu Wang, Qipeng Guo, Zhe Xu, Linyang Li, Zhikai Lei, Linlin Li, Qun Liu, Yaqian Zhou, Xipeng Qiu, Xuanjing Huang

CoRR, 2024

MetaAlign: Align Large Language Models with Diverse Preferences during Inference Time.

Mozhi Zhang, Pengyu Wang, Chenkun Tan, Mianqiu Huang, Dong Zhang, Yaqian Zhou, Xipeng Qiu

CoRR, 2024

Calibrating the Confidence of Large Language Models by Eliciting Fidelity.

Mozhi Zhang, Mianqiu Huang, Rundong Shi, Linsen Guo, Chong Peng, Peng Yan, Yaqian Zhou, Xipeng Qiu

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

InferAligner: Inference-Time Alignment for Harmlessness through Cross-Model Guidance.

Pengyu Wang, Dong Zhang, Linyang Li, Chenkun Tan, Xinghao Wang, Mozhi Zhang, Ke Ren, Botian Jiang, Xipeng Qiu

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2023

Labeled Interactive Topic Models.

Kyle Seelman, Mozhi Zhang, Jordan L. Boyd-Graber

CoRR, 2023

Evaluating Hallucinations in Chinese Large Language Models.

Qinyuan Cheng, Tianxiang Sun, Wenwei Zhang, Siyin Wang, Xiangyang Liu, Mozhi Zhang, Junliang He, Mianqiu Huang, Zhangyue Yin, Kai Chen, Xipeng Qiu

CoRR, 2023

PromptNER: A Prompting Method for Few-shot Named Entity Recognition via k Nearest Neighbor Search.

Mozhi Zhang, Hang Yan, Yaqian Zhou, Xipeng Qiu

CoRR, 2023

2022

A video compression artifact reduction approach combined with quantization parameters estimation.

Xin Shuai, Linbo Qing, Mozhi Zhang, Weiheng Sun, Xiaohai He

J. Supercomput., 2022

Feature separation and double causal comparison loss for visible and infrared person re-identification.

Qiang Liu, Xiaohai He, Mozhi Zhang, Qizhi Teng, Bo Li, Linbo Qing

Knowl. Based Syst., 2022

Deep dual-domain semi-blind network for compressed image quality enhancement.

Jingbo He, Xiaohai He, Mozhi Zhang, Shuhua Xiong, Honggang Chen

Knowl. Based Syst., 2022

UAMNer: uncertainty-aware multimodal named entity recognition in social media posts.

Luping Liu, Meiling Wang, Mozhi Zhang, Linbo Qing, Xiaohai He

Appl. Intell., 2022

2021

How does a Neural Network's Architecture Impact its Robustness to Noisy Labels?

Jingling Li, Mozhi Zhang, Keyulu Xu, John Dickerson, Jimmy Ba

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Optimization of Graph Neural Networks: Implicit Acceleration by Skip Connections and More Depth.

Keyulu Xu, Mozhi Zhang, Stefanie Jegelka, Kenji Kawaguchi

Proceedings of the 38th International Conference on Machine Learning, 2021

How Neural Networks Extrapolate: From Feedforward to Graph Neural Networks.

Keyulu Xu, Mozhi Zhang, Jingling Li, Simon Shaolei Du, Ken-ichi Kawarabayashi, Stefanie Jegelka

Proceedings of the 9th International Conference on Learning Representations, 2021

A Dataset and Baselines for Multilingual Reply Suggestion.

Mozhi Zhang, Wei Wang, Budhaditya Deb, Guoqing Zheng, Milad Shokouhi, Ahmed Hassan Awadallah

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020

Noisy Labels Can Induce Good Representations.

Jingling Li, Mozhi Zhang, Keyulu Xu, John P. Dickerson, Jimmy Ba

CoRR, 2020

What Can Neural Networks Reason About?

Keyulu Xu, Jingling Li, Mozhi Zhang, Simon S. Du, Ken-ichi Kawarabayashi, Stefanie Jegelka

Proceedings of the 8th International Conference on Learning Representations, 2020

Interactive Refinement of Cross-Lingual Word Embeddings.

Michelle Yuan, Mozhi Zhang, Benjamin Van Durme, Leah Findlater, Jordan L. Boyd-Graber

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Why Overfitting Isn't Always Bad: Retrofitting Cross-Lingual Word Embeddings to Dictionaries.

Mozhi Zhang, Yoshinari Fujinuma, Michael J. Paul, Jordan L. Boyd-Graber

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Exploiting Cross-Lingual Subword Similarities in Low-Resource Document Classification.

Mozhi Zhang, Yoshinari Fujinuma, Jordan L. Boyd-Graber

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Are Girls Neko or Shōjo? Cross-Lingual Alignment of Non-Isomorphic Embeddings with Iterative Normalization.

Mozhi Zhang, Keyulu Xu, Ken-ichi Kawarabayashi, Stefanie Jegelka, Jordan L. Boyd-Graber

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019