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2020 – today
- 2025
[i16]MiniMax, Aonian Li, Bangwei Gong, Bo Yang, Boji Shan, Chang Liu, Cheng Zhu, Chunhao Zhang, Congchao Guo, Da Chen, Dong Li, Enwei Jiao, Gengxin Li, Guojun Zhang, Haohai Sun, Houze Dong, Jiadai Zhu, Jiaqi Zhuang, Jiayuan Song, Jin Zhu, Jingtao Han, Jingyang Li, Junbin Xie, Junhao Xu, Junjie Yan, Kaishun Zhang, Kecheng Xiao, Kexi Kang, Le Han, Leyang Wang, Lianfei Yu, Liheng Feng, Lin Zheng, Linbo Chai, Long Xing, Meizhi Ju, Mingyuan Chi, Mozhi Zhang, Peikai Huang, Pengcheng Niu, Pengfei Li, Pengyu Zhao, Qi Yang, Qidi Xu, Qiexiang Wang, Qin Wang, Qiuhui Li, Ruitao Leng, Shengmin Shi, Shuqi Yu, Sichen Li, Songquan Zhu, Tao Huang, Tianrun Liang, Weigao Sun, Weixuan Sun, Weiyu Cheng, Wenkai Li, Xiangjun Song, Xiao Su, Xiaodong Han, Xinjie Zhang, Xinzhu Hou, Xu Min, Xun Zou, Xuyang Shen, Yan Gong, Yingjie Zhu, Yipeng Zhou, Yiran Zhong, Yongyi Hu, Yuanxiang Fan, Yue Yu, Yufeng Yang, Yuhao Li, Yunan Huang, Yunji Li, Yunpeng Huang, Yunzhi Xu, Yuxin Mao, Zehan Li, Zekang Li, Zewei Tao, Zewen Ying, Zhaoyang Cong, Zhen Qin, Zhenhua Fan, Zhihang Yu, Zhuo Jiang, Zijia Wu:
MiniMax-01: Scaling Foundation Models with Lightning Attention. CoRR abs/2501.08313 (2025)- 2024
- [c11]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. EMNLP 2024: 2959-2979 - [c10]Pengyu Wang, Dong Zhang, Linyang Li, Chenkun Tan, Xinghao Wang, Mozhi Zhang, Ke Ren, Botian Jiang, Xipeng Qiu:
InferAligner: Inference-Time Alignment for Harmlessness through Cross-Model Guidance. EMNLP 2024: 10460-10479 - [i15]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 abs/2404.02655 (2024) - [i14]Mozhi Zhang, Pengyu Wang, Chenkun Tan, Mianqiu Huang, Dong Zhang, Yaqian Zhou, Xipeng Qiu:
MetaAlign: Align Large Language Models with Diverse Preferences during Inference Time. CoRR abs/2410.14184 (2024) - [i13]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:
LongSafetyBench: Long-Context LLMs Struggle with Safety Issues. CoRR abs/2411.06899 (2024) - 2023
- [i12]Mozhi Zhang, Hang Yan, Yaqian Zhou, Xipeng Qiu:
PromptNER: A Prompting Method for Few-shot Named Entity Recognition via k Nearest Neighbor Search. CoRR abs/2305.12217 (2023) - [i11]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 abs/2310.03368 (2023) - [i10]Kyle Seelman, Mozhi Zhang, Jordan L. Boyd-Graber:
Labeled Interactive Topic Models. CoRR abs/2311.09438 (2023) - 2022
- [j4]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): 4109-4125 (2022) - [j3]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: 107870 (2022) - [j2]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: 108042 (2022) - [j1]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): 13564-13582 (2022) - 2021
- [c9]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: 1207-1220 - [c8]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 - [c7]Keyulu Xu, Mozhi Zhang, Stefanie Jegelka, Kenji Kawaguchi:
Optimization of Graph Neural Networks: Implicit Acceleration by Skip Connections and More Depth. ICML 2021: 11592-11602 - [c6]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: 9788-9803 - [i9]Keyulu Xu, Mozhi Zhang, Stefanie Jegelka, Kenji Kawaguchi:
Optimization of Graph Neural Networks: Implicit Acceleration by Skip Connections and More Depth. CoRR abs/2105.04550 (2021) - [i8]Mozhi Zhang, Wei Wang, Budhaditya Deb, Guoqing Zheng, Milad Shokouhi, Ahmed Hassan Awadallah:
A Dataset and Baselines for Multilingual Reply Suggestion. CoRR abs/2106.02017 (2021) - 2020
- [c5]Mozhi Zhang, Yoshinari Fujinuma, Jordan L. Boyd-Graber:
Exploiting Cross-Lingual Subword Similarities in Low-Resource Document Classification. AAAI 2020: 9547-9554 - [c4]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: 2214-2220 - [c3]Michelle Yuan, Mozhi Zhang, Benjamin Van Durme, Leah Findlater, Jordan L. Boyd-Graber:
Interactive Refinement of Cross-Lingual Word Embeddings. EMNLP (1) 2020: 5984-5996 - [c2]Keyulu Xu, Jingling Li, Mozhi Zhang, Simon S. Du, Ken-ichi Kawarabayashi, Stefanie Jegelka:
What Can Neural Networks Reason About? ICLR 2020 - [i7]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 abs/2005.00524 (2020) - [i6]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 abs/2009.11848 (2020) - [i5]Jingling Li, Mozhi Zhang, Keyulu Xu, John P. Dickerson, Jimmy Ba:
Noisy Labels Can Induce Good Representations. CoRR abs/2012.12896 (2020)
2010 – 2019
- 2019
- [c1]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: 3180-3189 - [i4]Keyulu Xu, Jingling Li, Mozhi Zhang, Simon S. Du, Ken-ichi Kawarabayashi, Stefanie Jegelka:
What Can Neural Networks Reason About? CoRR abs/1905.13211 (2019) - [i3]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 abs/1906.01622 (2019) - [i2]Michelle Yuan, Mozhi Zhang, Benjamin Van Durme, Leah Findlater, Jordan L. Boyd-Graber:
Interactive Refinement of Cross-Lingual Word Embeddings. CoRR abs/1911.03070 (2019) - 2018
- [i1]Mozhi Zhang, Yoshinari Fujinuma, Jordan L. Boyd-Graber:
Exploiting Cross-Lingual Subword Similarities in Low-Resource Document Classification. CoRR abs/1812.09617 (2018)
Coauthor Index
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