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2020 – today
- 2024
[j2]Hange Zhou, Jiabin Zheng
, Longtu Zhang:
GalaxyGPT: A Hybrid Framework for Large Language Model Safety. IEEE Access 12: 94436-94451 (2024)- 2021
- [j1]Longtu Zhang, Mamoru Komachi:
Using Sub-character Level Information for Neural Machine Translation of Logographic Languages. ACM Trans. Asian Low Resour. Lang. Inf. Process. 20(2): 31:1-31:15 (2021) - [c4]Fei Yuan, Longtu Zhang, Bojun Huang, Yaobo Liang:
Simpson's Bias in NLP Training. AAAI 2021: 14276-14283 - [c3]Zhousi Chen, Longtu Zhang, Aizhan Imankulova, Mamoru Komachi:
Neural Combinatory Constituency Parsing. ACL/IJCNLP (Findings) 2021: 2199-2213 - [i4]Fei Yuan, Longtu Zhang, Bojun Huang, Yaobo Liang:
Simpson's Bias in NLP Training. CoRR abs/2103.11795 (2021) - [i3]Zhousi Chen, Longtu Zhang, Aizhan Imankulova, Mamoru Komachi:
Neural Combinatory Constituency Parsing. CoRR abs/2106.06689 (2021)
2010 – 2019
- 2019
- [i2]Longtu Zhang, Mamoru Komachi:
Chinese-Japanese Unsupervised Neural Machine Translation Using Sub-character Level Information. CoRR abs/1903.00149 (2019) - 2018
- [c2]Longtu Zhang, Yuting Zhao, Mamoru Komachi:
TMU Japanese-Chinese Unsupervised NMT System for WAT 2018 Translation Task. WAT@PACLIC 2018 - [c1]Longtu Zhang, Mamoru Komachi:
Neural Machine Translation of Logographic Language Using Sub-character Level Information. WMT 2018: 17-25 - [i1]Longtu Zhang, Mamoru Komachi:
Neural Machine Translation of Logographic Languages Using Sub-character Level Information. CoRR abs/1809.02694 (2018)
Coauthor Index
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