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Chongxuan Huang
Observed name:
Huang, Chongxuan
Institution:
Xiamen University
Observed institutions:
Xiamen University,
Huawei Technologies (China)
OpenAlex ID:
A5007564034
MultiWOZ 2.3: A Multi-domain Task-Oriented Dialogue Dataset Enhanced with Annotation Corrections and Co-Reference Annotation
2021
·
Ting Han
, Ximing Liu
, et al.
·
Lecture notes in computer science
·
57
PDF
Dictionary-based Data Augmentation for Cross-Domain Neural Machine Translation
2020
·
Peng, Wei
, Huang, Chongxuan
, et al.
·
arXiv (Cornell University)
·
14
PDF
Coreference Augmentation for Multi-Domain Task-Oriented Dialogue State Tracking
2021
·
Ting Han
, Chongxuan Huang
, et al.
·
Interspeech (USB)
·
3
From Neurons to Semantics: Evaluating Cross-Linguistic Alignment Capabilities of Large Language Models via Neurons Alignment
2025
·
Chongxuan Huang
, Yongshi Ye
, et al.
·
Proceedings of the conference - Association for Computational Linguistics. Meeting
·
2
PDF
How Well Do Large Reasoning Models Translate? A Comprehensive Evaluation for Multi-Domain Machine Translation
2025
·
Ye, Yongshi
, Fu, Biao
, et al.
·
arXiv (Cornell University)
·
1
PDF
Translation with Thought: Difficulty-Adaptive Reasoning via Reinforcement Learning for Multi-Domain Machine Translation
2026
·
Ye, Yongshi
, Fu, Biao
, et al.
·
arXiv (Cornell University)
PDF
DARL: Encouraging Diverse Answers for General Reasoning without Verifiers
2026
·
Huang, Chongxuan
, Lin, Lei
, et al.
·
arXiv (Cornell University)
PDF
DARL: Encouraging Diverse Answers for General Reasoning without Verifiers
2026
·
Chongxuan Huang
, Lei Lin
, et al.
·
Findings of the Association for Computational Linguistics: ACL (Findings of ACL)
PDF
Translation with Thought: Difficulty-Adaptive Reasoning via Reinforcement Learning for Multi-Domain Machine Translation
2026
·
Yongshi Ye
, Biao Fu
, et al.
·
Proceedings of the conference - Association for Computational Linguistics. Meeting
PAMT: Process-Aligned Reinforcement Learning for Multi-Domain Machine Translation
2026
·
Yongshi Ye
, Biao Fu
, et al.
·
Conference on Empirical Methods in Natural Language Processing (EMNLP)
PDF
Coreference Augmentation for Multi-Domain Task-Oriented Dialogue State Tracking
2021
·
Han, Ting
, Huang, Chongxuan
, et al.
·
arXiv (Cornell University)
PDF
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Works count:
12
Citation count:
77
H-index:
3
I10-index:
2
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