Wenxiang Jiao

According to our database, Wenxiang Jiao authored at least 34 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

How Far Are We on the Decision-Making of LLMs? Evaluating LLMs' Gaming Ability in Multi-Agent Environments.

Jen-tse Huang, Eric John Li, Man Ho Lam, Tian Liang, Wenxuan Wang, Youliang Yuan, Wenxiang Jiao, Xing Wang, Zhaopeng Tu, Michael R. Lyu

CoRR, 2024

Unsupervised Sign Language Translation and Generation.

Zhengsheng Guo, Zhiwei He, Wenxiang Jiao, Xing Wang, Rui Wang, Kehai Chen, Zhaopeng Tu, Yong Xu, Min Zhang

CoRR, 2024

Improving Machine Translation with Human Feedback: An Exploration of Quality Estimation as a Reward Model.

Zhiwei He, Xing Wang, Wenxiang Jiao, Zhuosheng Zhang, Rui Wang, Shuming Shi, Zhaopeng Tu

CoRR, 2024

The Earth is Flat? Unveiling Factual Errors in Large Language Models.

Wenxuan Wang, Juluan Shi, Zhaopeng Tu, Youliang Yuan, Jen-tse Huang, Wenxiang Jiao, Michael R. Lyu

CoRR, 2024

A & B == B & A: Triggering Logical Reasoning Failures in Large Language Models.

Yuxuan Wan, Wenxuan Wang, Yiliu Yang, Youliang Yuan, Jen-tse Huang, Pinjia He, Wenxiang Jiao, Michael R. Lyu

CoRR, 2024

2023

Leveraging Word Guessing Games to Assess the Intelligence of Large Language Models.

Tian Liang, Zhiwei He, Jen-tse Huang, Wenxuan Wang, Wenxiang Jiao, Rui Wang, Yujiu Yang, Zhaopeng Tu, Shuming Shi, Xing Wang

CoRR, 2023

Not All Countries Celebrate Thanksgiving: On the Cultural Dominance in Large Language Models.

Wenxuan Wang, Wenxiang Jiao, Jingyuan Huang, Ruyi Dai, Jen-tse Huang, Zhaopeng Tu, Michael R. Lyu

CoRR, 2023

Who is ChatGPT? Benchmarking LLMs' Psychological Portrayal Using PsychoBench.

Jen-tse Huang, Wenxuan Wang, Eric John Li, Man Ho Lam, Shujie Ren, Youliang Yuan, Wenxiang Jiao, Zhaopeng Tu, Michael R. Lyu

CoRR, 2023

All Languages Matter: On the Multilingual Safety of Large Language Models.

Wenxuan Wang, Zhaopeng Tu, Chang Chen, Youliang Yuan, Jen-tse Huang, Wenxiang Jiao, Michael R. Lyu

CoRR, 2023

GPT-4 Is Too Smart To Be Safe: Stealthy Chat with LLMs via Cipher.

Youliang Yuan, Wenxiang Jiao, Wenxuan Wang, Jen-tse Huang, Pinjia He, Shuming Shi, Zhaopeng Tu

CoRR, 2023

Emotionally Numb or Empathetic? Evaluating How LLMs Feel Using EmotionBench.

Jen-tse Huang, Man Ho Lam, Eric John Li, Shujie Ren, Wenxuan Wang, Wenxiang Jiao, Zhaopeng Tu, Michael R. Lyu

CoRR, 2023

ChatGPT an ENFJ, Bard an ISTJ: Empirical Study on Personalities of Large Language Models.

Jen-tse Huang, Wenxuan Wang, Man Ho Lam, Eric John Li, Wenxiang Jiao, Michael R. Lyu

CoRR, 2023

Encouraging Divergent Thinking in Large Language Models through Multi-Agent Debate.

Tian Liang, Zhiwei He, Wenxiang Jiao, Xing Wang, Yan Wang, Rui Wang, Yujiu Yang, Zhaopeng Tu, Shuming Shi

CoRR, 2023

Exploring Human-Like Translation Strategy with Large Language Models.

Zhiwei He, Tian Liang, Wenxiang Jiao, Zhuosheng Zhang, Yujiu Yang, Rui Wang, Zhaopeng Tu, Shuming Shi, Xing Wang

CoRR, 2023

ParroT: Translating During Chat Using Large Language Models.

Wenxiang Jiao, Jen-tse Huang, Wenxuan Wang, Xing Wang, Shuming Shi, Zhaopeng Tu

CoRR, 2023

ChatGPT or Grammarly? Evaluating ChatGPT on Grammatical Error Correction Benchmark.

Haoran Wu, Wenxuan Wang, Yuxuan Wan, Wenxiang Jiao, Michael R. Lyu

CoRR, 2023

Is ChatGPT A Good Translator? A Preliminary Study.

Wenxiang Jiao, Wenxuan Wang, Jen-tse Huang, Xing Wang, Zhaopeng Tu

CoRR, 2023

Cross-modality Data Augmentation for End-to-End Sign Language Translation.

Jinhui Ye, Wenxiang Jiao, Xing Wang, Zhaopeng Tu, Hui Xiong

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

ParroT: Translating during Chat using Large Language Models tuned with Human Translation and Feedback.

Wenxiang Jiao, Jen-tse Huang, Wenxuan Wang, Zhiwei He, Tian Liang, Xing Wang, Shuming Shi, Zhaopeng Tu

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Scaling Back-Translation with Domain Text Generation for Sign Language Gloss Translation.

Jinhui Ye, Wenxiang Jiao, Xing Wang, Zhaopeng Tu

Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

kNN-TL: k-Nearest-Neighbor Transfer Learning for Low-Resource Neural Machine Translation.

Shudong Liu, Xuebo Liu, Derek F. Wong, Zhaocong Li, Wenxiang Jiao, Lidia S. Chao, Min Zhang

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

Exploiting Inactive Examples for Natural Language Generation With Data Rejuvenation.

Wenxiang Jiao, Xing Wang, Shilin He, Zhaopeng Tu, Irwin King, Michael R. Lyu

IEEE ACM Trans. Audio Speech Lang. Process., 2022

Understanding and Mitigating the Uncertainty in Zero-Shot Translation.

Wenxuan Wang, Wenxiang Jiao, Shuo Wang, Zhaopeng Tu, Michael R. Lyu

CoRR, 2022

Tencent's Multilingual Machine Translation System for WMT22 Large-Scale African Languages.

Wenxiang Jiao, Zhaopeng Tu, Jiarui Li, Wenxuan Wang, Jen-tse Huang, Shuming Shi

Proceedings of the Seventh Conference on Machine Translation, 2022

Adapters for Enhanced Modeling of Multilingual Knowledge and Text.

Yifan Hou, Wenxiang Jiao, Meizhen Liu, Carl Allen, Zhaopeng Tu, Mrinmaya Sachan

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Understanding and Improving Sequence-to-Sequence Pretraining for Neural Machine Translation.

Wenxuan Wang, Wenxiang Jiao, Yongchang Hao, Xing Wang, Shuming Shi, Zhaopeng Tu, Michael R. Lyu

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021

Multi-Task Learning with Shared Encoder for Non-Autoregressive Machine Translation.

Yongchang Hao, Shilin He, Wenxiang Jiao, Zhaopeng Tu, Michael R. Lyu, Xing Wang

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Self-Training Sampling with Monolingual Data Uncertainty for Neural Machine Translation.

Wenxiang Jiao, Xing Wang, Zhaopeng Tu, Shuming Shi, Michael R. Lyu, Irwin King

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020

Data Rejuvenation: Exploiting Inactive Training Examples for Neural Machine Translation.

Wenxiang Jiao, Xing Wang, Shilin He, Irwin King, Michael R. Lyu, Zhaopeng Tu

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Exploiting Unsupervised Data for Emotion Recognition in Conversations.

Wenxiang Jiao, Michael R. Lyu, Irwin King

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Real-Time Emotion Recognition via Attention Gated Hierarchical Memory Network.

Wenxiang Jiao, Michael R. Lyu, Irwin King

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Improving Word Representations: A Sub-sampled Unigram Distribution for Negative Sampling.

Wenxiang Jiao, Irwin King, Michael R. Lyu

CoRR, 2019

PT-CoDE: Pre-trained Context-Dependent Encoder for Utterance-level Emotion Recognition.

Wenxiang Jiao, Michael R. Lyu, Irwin King

CoRR, 2019

HiGRU: Hierarchical Gated Recurrent Units for Utterance-Level Emotion Recognition.

Wenxiang Jiao, Haiqin Yang, Irwin King, Michael R. Lyu

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019