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ORCIDMichael R. Lyu
- > Home > Persons > Michael R. Lyu
Publications
- 2025
[j168]Wenxuan Wang
, Wenxiang Jiao, Jen-tse Huang, Zhaopeng Tu, Michael R. Lyu:
On the shortcut learning in multilingual neural machine translation. Neurocomputing 615: 128833 (2025)- [c466]Jen-tse Huang, Eric John Li, Man Ho Lam, Tian Liang, Wenxuan Wang, Youliang Yuan, Wenxiang Jiao, Xing Wang, Zhaopeng Tu, Michael R. Lyu:
Competing Large Language Models in Multi-Agent Gaming Environments. ICLR 2025 - 2024
- [j161]Wenxuan Wang, Wenxiang Jiao, Shuo Wang, Zhaopeng Tu, Michael R. Lyu:
Understanding and Mitigating the Uncertainty in Zero-Shot Translation. IEEE ACM Trans. Audio Speech Lang. Process. 32: 4894-4904 (2024) - [c456]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 - [c455]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 - [c454]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 - [c452]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 - [c449]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 - [c431]Jen-tse Huang, Man Ho Lam, Eric John Li, Shujie Ren, Wenxuan Wang, Wenxiang Jiao, Zhaopeng Tu, Michael R. Lyu:
Apathetic or Empathetic? Evaluating LLMs' Emotional Alignments with Humans. NeurIPS 2024 - [i179]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) - [i178]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) - [i169]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) - [i146]Wenxuan Wang, Wenxiang Jiao, Jen-tse Huang, Zhaopeng Tu, Michael R. Lyu:
On the Shortcut Learning in Multilingual Neural Machine Translation. CoRR abs/2411.10581 (2024) - 2023
- [i134]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) - [i128]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) - [i120]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) - [i105]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) - [i104]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) - [i102]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) - 2022
- [j145]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) - [c396]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 - [i97]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) - [i91]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) - 2021
- [c382]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 - [c374]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 - [i78]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
- [c371]Wenxiang Jiao, Michael R. Lyu, Irwin King:
Real-Time Emotion Recognition via Attention Gated Hierarchical Memory Network. AAAI 2020: 8002-8009 - [c362]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 - [c358]Wenxiang Jiao, Michael R. Lyu, Irwin King:
Exploiting Unsupervised Data for Emotion Recognition in Conversations. EMNLP (Findings) 2020: 4839-4846 - [i53]Wenxiang Jiao, Michael R. Lyu, Irwin King:
Exploiting Unsupervised Data for Emotion Recognition in Conversations. CoRR abs/2010.01908 (2020) - [i52]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) - [i47]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) - 2019
- [c333]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 - [i39]Wenxiang Jiao, Haiqin Yang, Irwin King, Michael R. Lyu:
HiGRU: Hierarchical Gated Recurrent Units for Utterance-level Emotion Recognition. CoRR abs/1904.04446 (2019) - [i29]Wenxiang Jiao, Michael R. Lyu, Irwin King:
PT-CoDE: Pre-trained Context-Dependent Encoder for Utterance-level Emotion Recognition. CoRR abs/1910.08916 (2019) - [i28]Wenxiang Jiao, Irwin King, Michael R. Lyu:
Improving Word Representations: A Sub-sampled Unigram Distribution for Negative Sampling. CoRR abs/1910.09362 (2019) - [i27]Wenxiang Jiao, Michael R. Lyu, Irwin King:
Real-Time Emotion Recognition via Attention Gated Hierarchical Memory Network. CoRR abs/1911.09075 (2019)
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