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Wenxiang Jiao
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2020 – today
- 2024
- [j2]Zhiwei He, Tian Liang, Wenxiang Jiao, Zhuosheng Zhang, Yujiu Yang, Rui Wang, Zhaopeng Tu, Shuming Shi, Xing Wang:
Exploring Human-Like Translation Strategy with Large Language Models. Trans. Assoc. Comput. Linguistics 12: 229-246 (2024) - [c23]Wenxuan Wang, Zhaopeng Tu, Chang Chen, Youliang Yuan, Jen-tse Huang, Wenxiang Jiao, Michael R. Lyu:
All Languages Matter: On the Multilingual Safety of LLMs. ACL (Findings) 2024: 5865-5877 - [c22]Wenxuan Wang, Wenxiang Jiao, Jingyuan Huang, Ruyi Dai, Jen-tse Huang, Zhaopeng Tu, Michael R. Lyu:
Not All Countries Celebrate Thanksgiving: On the Cultural Dominance in Large Language Models. ACL (1) 2024: 6349-6384 - [c21]Longyue Wang, Zefeng Du, Wenxiang Jiao, Chenyang Lyu, Jianhui Pang, Leyang Cui, Kaiqiang Song, Derek F. Wong, Shuming Shi, Zhaopeng Tu:
Benchmarking and Improving Long-Text Translation with Large Language Models. ACL (Findings) 2024: 7175-7187 - [c20]Zhengsheng Guo, Zhiwei He, Wenxiang Jiao, Xing Wang, Rui Wang, Kehai Chen, Zhaopeng Tu, Yong Xu, Min Zhang:
Unsupervised Sign Language Translation and Generation. ACL (Findings) 2024: 14041-14055 - [c19]Yuxuan Wan, Wenxuan Wang, Yiliu Yang, Youliang Yuan, Jen-tse Huang, Pinjia He, Wenxiang Jiao, Michael R. Lyu:
LogicAsker: Evaluating and Improving the Logical Reasoning Ability of Large Language Models. EMNLP 2024: 2124-2155 - [c18]Jen-tse Huang, Wenxiang Jiao, Man Ho Lam, Eric John Li, Wenxuan Wang, Michael R. Lyu:
On the Reliability of Psychological Scales on Large Language Models. EMNLP 2024: 6152-6173 - [c17]Tian Liang, Zhiwei He, Wenxiang Jiao, Xing Wang, Yan Wang, Rui Wang, Yujiu Yang, Shuming Shi, Zhaopeng Tu:
Encouraging Divergent Thinking in Large Language Models through Multi-Agent Debate. EMNLP 2024: 17889-17904 - [c16]Jen-tse Huang, Wenxuan Wang, Eric John Li, Man Ho Lam, Shujie Ren, Youliang Yuan, Wenxiang Jiao, Zhaopeng Tu, Michael R. Lyu:
On the Humanity of Conversational AI: Evaluating the Psychological Portrayal of LLMs. ICLR 2024 - [c15]Youliang Yuan, Wenxiang Jiao, Wenxuan Wang, Jen-tse Huang, Pinjia He, Shuming Shi, Zhaopeng Tu:
GPT-4 Is Too Smart To Be Safe: Stealthy Chat with LLMs via Cipher. ICLR 2024 - [c14]Zhiwei He, Xing Wang, Wenxiang Jiao, Zhuosheng Zhang, Rui Wang, Shuming Shi, Zhaopeng Tu:
Improving Machine Translation with Human Feedback: An Exploration of Quality Estimation as a Reward Model. NAACL-HLT 2024: 8164-8180 - [i35]Yuxuan Wan, Wenxuan Wang, Yiliu Yang, Youliang Yuan, Jen-tse Huang, Pinjia He, Wenxiang Jiao, Michael R. Lyu:
A & B == B & A: Triggering Logical Reasoning Failures in Large Language Models. CoRR abs/2401.00757 (2024) - [i34]Wenxuan Wang, Juluan Shi, Zhaopeng Tu, Youliang Yuan, Jen-tse Huang, Wenxiang Jiao, Michael R. Lyu:
The Earth is Flat? Unveiling Factual Errors in Large Language Models. CoRR abs/2401.00761 (2024) - [i33]Zhiwei He, Xing Wang, Wenxiang Jiao, Zhuosheng Zhang, Rui Wang, Shuming Shi, Zhaopeng Tu:
Improving Machine Translation with Human Feedback: An Exploration of Quality Estimation as a Reward Model. CoRR abs/2401.12873 (2024) - [i32]Zhengsheng Guo, Zhiwei He, Wenxiang Jiao, Xing Wang, Rui Wang, Kehai Chen, Zhaopeng Tu, Yong Xu, Min Zhang:
Unsupervised Sign Language Translation and Generation. CoRR abs/2402.07726 (2024) - [i31]Jen-tse Huang, Eric John Li, Man Ho Lam, Tian Liang, Wenxuan Wang, Youliang Yuan, Wenxiang Jiao, Xing Wang, Zhaopeng Tu, Michael R. Lyu:
How Far Are We on the Decision-Making of LLMs? Evaluating LLMs' Gaming Ability in Multi-Agent Environments. CoRR abs/2403.11807 (2024) - [i30]Jinhui Ye, Xing Wang, Wenxiang Jiao, Junwei Liang, Hui Xiong:
Improving Gloss-free Sign Language Translation by Reducing Representation Density. CoRR abs/2405.14312 (2024) - [i29]Xinming Hou, Mingming Yang, Wenxiang Jiao, Xing Wang, Zhaopeng Tu, Wayne Xin Zhao:
CoAct: A Global-Local Hierarchy for Autonomous Agent Collaboration. CoRR abs/2406.13381 (2024) - [i28]Youliang Yuan, Wenxiang Jiao, Wenxuan Wang, Jen-tse Huang, Jiahao Xu, Tian Liang, Pinjia He, Zhaopeng Tu:
Refuse Whenever You Feel Unsafe: Improving Safety in LLMs via Decoupled Refusal Training. CoRR abs/2407.09121 (2024) - [i27]Wenxuan Wang, Kuiyi Gao, Zihan Jia, Youliang Yuan, Jen-tse Huang, Qiuzhi Liu, Shuai Wang, Wenxiang Jiao, Zhaopeng Tu:
Chain-of-Jailbreak Attack for Image Generation Models via Editing Step by Step. CoRR abs/2410.03869 (2024) - 2023
- [c13]Shudong Liu, Xuebo Liu, Derek F. Wong, Zhaocong Li, Wenxiang Jiao, Lidia S. Chao, Min Zhang:
kNN-TL: k-Nearest-Neighbor Transfer Learning for Low-Resource Neural Machine Translation. ACL (1) 2023: 1878-1891 - [c12]Jinhui Ye, Wenxiang Jiao, Xing Wang, Zhaopeng Tu:
Scaling Back-Translation with Domain Text Generation for Sign Language Gloss Translation. EACL 2023: 463-476 - [c11]Jinhui Ye, Wenxiang Jiao, Xing Wang, Zhaopeng Tu, Hui Xiong:
Cross-modality Data Augmentation for End-to-End Sign Language Translation. EMNLP (Findings) 2023: 13558-13571 - [c10]Wenxiang Jiao, Jen-tse Huang, Wenxuan Wang, Zhiwei He, Tian Liang, Xing Wang, Shuming Shi, Zhaopeng Tu:
ParroT: Translating during Chat using Large Language Models tuned with Human Translation and Feedback. EMNLP (Findings) 2023: 15009-15020 - [i26]Wenxiang Jiao, Wenxuan Wang, Jen-tse Huang, Xing Wang, Zhaopeng Tu:
Is ChatGPT A Good Translator? A Preliminary Study. CoRR abs/2301.08745 (2023) - [i25]Haoran Wu, Wenxuan Wang, Yuxuan Wan, Wenxiang Jiao, Michael R. Lyu:
ChatGPT or Grammarly? Evaluating ChatGPT on Grammatical Error Correction Benchmark. CoRR abs/2303.13648 (2023) - [i24]Wenxiang Jiao, Jen-tse Huang, Wenxuan Wang, Xing Wang, Shuming Shi, Zhaopeng Tu:
ParroT: Translating During Chat Using Large Language Models. CoRR abs/2304.02426 (2023) - [i23]Zhiwei He, Tian Liang, Wenxiang Jiao, Zhuosheng Zhang, Yujiu Yang, Rui Wang, Zhaopeng Tu, Shuming Shi, Xing Wang:
Exploring Human-Like Translation Strategy with Large Language Models. CoRR abs/2305.04118 (2023) - [i22]Jinhui Ye, Wenxiang Jiao, Xing Wang, Zhaopeng Tu, Hui Xiong:
Cross-modality Data Augmentation for End-to-End Sign Language Translation. CoRR abs/2305.11096 (2023) - [i21]Tian Liang, Zhiwei He, Wenxiang Jiao, Xing Wang, Yan Wang, Rui Wang, Yujiu Yang, Zhaopeng Tu, Shuming Shi:
Encouraging Divergent Thinking in Large Language Models through Multi-Agent Debate. CoRR abs/2305.19118 (2023) - [i20]Jen-tse Huang, Wenxuan Wang, Man Ho Lam, Eric John Li, Wenxiang Jiao, Michael R. Lyu:
ChatGPT an ENFJ, Bard an ISTJ: Empirical Study on Personalities of Large Language Models. CoRR abs/2305.19926 (2023) - [i19]Jen-tse Huang, Man Ho Lam, Eric John Li, Shujie Ren, Wenxuan Wang, Wenxiang Jiao, Zhaopeng Tu, Michael R. Lyu:
Emotionally Numb or Empathetic? Evaluating How LLMs Feel Using EmotionBench. CoRR abs/2308.03656 (2023) - [i18]Youliang Yuan, Wenxiang Jiao, Wenxuan Wang, Jen-tse Huang, Pinjia He, Shuming Shi, Zhaopeng Tu:
GPT-4 Is Too Smart To Be Safe: Stealthy Chat with LLMs via Cipher. CoRR abs/2308.06463 (2023) - [i17]Wenxuan Wang, Zhaopeng Tu, Chang Chen, Youliang Yuan, Jen-tse Huang, Wenxiang Jiao, Michael R. Lyu:
All Languages Matter: On the Multilingual Safety of Large Language Models. CoRR abs/2310.00905 (2023) - [i16]Jen-tse Huang, Wenxuan Wang, Eric John Li, Man Ho Lam, Shujie Ren, Youliang Yuan, Wenxiang Jiao, Zhaopeng Tu, Michael R. Lyu:
Who is ChatGPT? Benchmarking LLMs' Psychological Portrayal Using PsychoBench. CoRR abs/2310.01386 (2023) - [i15]Wenxuan Wang, Wenxiang Jiao, Jingyuan Huang, Ruyi Dai, Jen-tse Huang, Zhaopeng Tu, Michael R. Lyu:
Not All Countries Celebrate Thanksgiving: On the Cultural Dominance in Large Language Models. CoRR abs/2310.12481 (2023) - [i14]Tian Liang, Zhiwei He, Jen-tse Huang, Wenxuan Wang, Wenxiang Jiao, Rui Wang, Yujiu Yang, Zhaopeng Tu, Shuming Shi, Xing Wang:
Leveraging Word Guessing Games to Assess the Intelligence of Large Language Models. CoRR abs/2310.20499 (2023) - 2022
- [j1]Wenxiang Jiao, Xing Wang, Shilin He, Zhaopeng Tu, Irwin King, Michael R. Lyu:
Exploiting Inactive Examples for Natural Language Generation With Data Rejuvenation. IEEE ACM Trans. Audio Speech Lang. Process. 30: 931-943 (2022) - [c9]Wenxuan Wang, Wenxiang Jiao, Yongchang Hao, Xing Wang, Shuming Shi, Zhaopeng Tu, Michael R. Lyu:
Understanding and Improving Sequence-to-Sequence Pretraining for Neural Machine Translation. ACL (1) 2022: 2591-2600 - [c8]Yifan Hou, Wenxiang Jiao, Meizhen Liu, Carl Allen, Zhaopeng Tu, Mrinmaya Sachan:
Adapters for Enhanced Modeling of Multilingual Knowledge and Text. EMNLP (Findings) 2022: 3902-3917 - [c7]Wenxiang Jiao, Zhaopeng Tu, Jiarui Li, Wenxuan Wang, Jen-tse Huang, Shuming Shi:
Tencent's Multilingual Machine Translation System for WMT22 Large-Scale African Languages. WMT 2022: 1049-1056 - [i13]Wenxuan Wang, Wenxiang Jiao, Yongchang Hao, Xing Wang, Shuming Shi, Zhaopeng Tu, Michael R. Lyu:
Understanding and Improving Sequence-to-Sequence Pretraining for Neural Machine Translation. CoRR abs/2203.08442 (2022) - [i12]Wenxuan Wang, Wenxiang Jiao, Shuo Wang, Zhaopeng Tu, Michael R. Lyu:
Understanding and Mitigating the Uncertainty in Zero-Shot Translation. CoRR abs/2205.10068 (2022) - [i11]Jinhui Ye, Wenxiang Jiao, Xing Wang, Zhaopeng Tu:
Scaling Back-Translation with Domain Text Generation for Sign Language Gloss Translation. CoRR abs/2210.07054 (2022) - [i10]Wenxiang Jiao, Zhaopeng Tu, Jiarui Li, Wenxuan Wang, Jen-tse Huang, Shuming Shi:
Tencent's Multilingual Machine Translation System for WMT22 Large-Scale African Languages. CoRR abs/2210.09644 (2022) - [i9]Yifan Hou, Wenxiang Jiao, Meizhen Liu, Carl Allen, Zhaopeng Tu, Mrinmaya Sachan:
Adapters for Enhanced Modeling of Multilingual Knowledge and Text. CoRR abs/2210.13617 (2022) - 2021
- [c6]Wenxiang Jiao, Xing Wang, Zhaopeng Tu, Shuming Shi, Michael R. Lyu, Irwin King:
Self-Training Sampling with Monolingual Data Uncertainty for Neural Machine Translation. ACL/IJCNLP (1) 2021: 2840-2850 - [c5]Yongchang Hao, Shilin He, Wenxiang Jiao, Zhaopeng Tu, Michael R. Lyu, Xing Wang:
Multi-Task Learning with Shared Encoder for Non-Autoregressive Machine Translation. NAACL-HLT 2021: 3989-3996 - [i8]Wenxiang Jiao, Xing Wang, Zhaopeng Tu, Shuming Shi, Michael R. Lyu, Irwin King:
Self-Training Sampling with Monolingual Data Uncertainty for Neural Machine Translation. CoRR abs/2106.00941 (2021) - 2020
- [c4]Wenxiang Jiao, Michael R. Lyu, Irwin King:
Real-Time Emotion Recognition via Attention Gated Hierarchical Memory Network. AAAI 2020: 8002-8009 - [c3]Wenxiang Jiao, Xing Wang, Shilin He, Irwin King, Michael R. Lyu, Zhaopeng Tu:
Data Rejuvenation: Exploiting Inactive Training Examples for Neural Machine Translation. EMNLP (1) 2020: 2255-2266 - [c2]Wenxiang Jiao, Michael R. Lyu, Irwin King:
Exploiting Unsupervised Data for Emotion Recognition in Conversations. EMNLP (Findings) 2020: 4839-4846 - [i7]Wenxiang Jiao, Michael R. Lyu, Irwin King:
Exploiting Unsupervised Data for Emotion Recognition in Conversations. CoRR abs/2010.01908 (2020) - [i6]Wenxiang Jiao, Xing Wang, Shilin He, Irwin King, Michael R. Lyu, Zhaopeng Tu:
Data Rejuvenation: Exploiting Inactive Training Examples for Neural Machine Translation. CoRR abs/2010.02552 (2020) - [i5]Yongchang Hao, Shilin He, Wenxiang Jiao, Zhaopeng Tu, Michael R. Lyu, Xing Wang:
Multi-Task Learning with Shared Encoder for Non-Autoregressive Machine Translation. CoRR abs/2010.12868 (2020)
2010 – 2019
- 2019
- [c1]Wenxiang Jiao, Haiqin Yang, Irwin King, Michael R. Lyu:
HiGRU: Hierarchical Gated Recurrent Units for Utterance-Level Emotion Recognition. NAACL-HLT (1) 2019: 397-406 - [i4]Wenxiang Jiao, Haiqin Yang, Irwin King, Michael R. Lyu:
HiGRU: Hierarchical Gated Recurrent Units for Utterance-level Emotion Recognition. CoRR abs/1904.04446 (2019) - [i3]Wenxiang Jiao, Michael R. Lyu, Irwin King:
PT-CoDE: Pre-trained Context-Dependent Encoder for Utterance-level Emotion Recognition. CoRR abs/1910.08916 (2019) - [i2]Wenxiang Jiao, Irwin King, Michael R. Lyu:
Improving Word Representations: A Sub-sampled Unigram Distribution for Negative Sampling. CoRR abs/1910.09362 (2019) - [i1]Wenxiang Jiao, Michael R. Lyu, Irwin King:
Real-Time Emotion Recognition via Attention Gated Hierarchical Memory Network. CoRR abs/1911.09075 (2019)
Coauthor Index
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last updated on 2024-11-15 19:33 CET by the dblp team
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