HiGRU: Hierarchical Gated Recurrent Units for Utterance-Level Emotion Recognition. - Wenxiang Jiao; Haiqin Yang; Irwin King; Michael R. Lyu (NAACL-HLT (1), 2019)

PT-CoDE: Pre-trained Context-Dependent Encoder for Utterance-level Emotion Recognition. - Wenxiang Jiao; Michael R. Lyu; Irwin King (CoRR, 2019)

Improving Word Representations: A Sub-sampled Unigram Distribution for Negative Sampling. - Wenxiang Jiao; Irwin King; Michael R. Lyu (CoRR, 2019)

Real-Time Emotion Recognition via Attention Gated Hierarchical Memory Network. - Wenxiang Jiao; Michael R. Lyu; Irwin King (AAAI, 2020)

Exploiting Unsupervised Data for Emotion Recognition in Conversations. - Wenxiang Jiao; Michael R. Lyu; Irwin King (EMNLP (Findings), 2020)

Data Rejuvenation: Exploiting Inactive Training Examples for Neural Machine Translation. - Wenxiang Jiao; Xing Wang 007; Shilin He; Irwin King; Michael R. Lyu; Zhaopeng Tu (EMNLP (1), 2020)

Self-Training Sampling with Monolingual Data Uncertainty for Neural Machine Translation. - Wenxiang Jiao; Xing Wang 007; Zhaopeng Tu; Shuming Shi 001; Michael R. Lyu; Irwin King (ACL/IJCNLP (1), 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 007 (NAACL-HLT, 2021)

Understanding and Improving Sequence-to-Sequence Pretraining for Neural Machine Translation. - Wenxuan Wang 001; Wenxiang Jiao; Yongchang Hao; Xing Wang 007; Shuming Shi 001; Zhaopeng Tu; Michael R. Lyu (ACL (1), 2022)

Adapters for Enhanced Modeling of Multilingual Knowledge and Text. - Yifan Hou; Wenxiang Jiao; Meizhen Liu 001; Carl Allen; Zhaopeng Tu; Mrinmaya Sachan (EMNLP (Findings), 2022)

Tencent's Multilingual Machine Translation System for WMT22 Large-Scale African Languages. - Wenxiang Jiao; Zhaopeng Tu; Jiarui Li; Wenxuan Wang 001; Jen-tse Huang 001; Shuming Shi 001 (WMT, 2022)

Exploiting Inactive Examples for Natural Language Generation With Data Rejuvenation. - Wenxiang Jiao; Xing Wang 007; Shilin He; Zhaopeng Tu; Irwin King; Michael R. Lyu (IEEE ACM Trans. Audio Speech Lang. Process., 2022)

kNN-TL: k-Nearest-Neighbor Transfer Learning for Low-Resource Neural Machine Translation. - Shudong Liu 004; Xuebo Liu 002; Derek F. Wong; Zhaocong Li; Wenxiang Jiao; Lidia S. Chao; Min Zhang 005 (ACL (1), 2023)

Scaling Back-Translation with Domain Text Generation for Sign Language Gloss Translation. - Jinhui Ye; Wenxiang Jiao; Xing Wang 007; Zhaopeng Tu (EACL, 2023)

ParroT: Translating during Chat using Large Language Models tuned with Human Translation and Feedback. - Wenxiang Jiao; Jen-tse Huang 001; Wenxuan Wang 001; Zhiwei He 002; Tian Liang; Xing Wang 007; Shuming Shi 001; Zhaopeng Tu (EMNLP (Findings), 2023)

Cross-modality Data Augmentation for End-to-End Sign Language Translation. - Jinhui Ye; Wenxiang Jiao; Xing Wang 007; Zhaopeng Tu; Hui Xiong (EMNLP (Findings), 2023)

Is ChatGPT A Good Translator? A Preliminary Study. - Wenxiang Jiao; Wenxuan Wang 001; Jen-tse Huang 001; Xing Wang 007; Zhaopeng Tu (CoRR, 2023)

ChatGPT or Grammarly? Evaluating ChatGPT on Grammatical Error Correction Benchmark. - Haoran Wu; Wenxuan Wang 001; Yuxuan Wan; Wenxiang Jiao; Michael R. Lyu (CoRR, 2023)

ParroT: Translating During Chat Using Large Language Models. - Wenxiang Jiao; Jen-tse Huang 001; Wenxuan Wang 001; Xing Wang 007; Shuming Shi 001; Zhaopeng Tu (CoRR, 2023)

ChatGPT an ENFJ, Bard an ISTJ: Empirical Study on Personalities of Large Language Models. - Jen-tse Huang 001; Wenxuan Wang 001; Man Ho Lam; Eric John Li; Wenxiang Jiao; Michael R. Lyu (CoRR, 2023)

Emotionally Numb or Empathetic? Evaluating How LLMs Feel Using EmotionBench. - Jen-tse Huang 001; Man Ho Lam; Eric John Li; Shujie Ren; Wenxuan Wang 001; Wenxiang Jiao; Zhaopeng Tu; Michael R. Lyu (CoRR, 2023)

All Languages Matter: On the Multilingual Safety of Large Language Models. - Wenxuan Wang 001; Zhaopeng Tu; Chang Chen; Youliang Yuan; Jen-tse Huang 001; Wenxiang Jiao; Michael R. Lyu (CoRR, 2023)

Who is ChatGPT? Benchmarking LLMs' Psychological Portrayal Using PsychoBench. - Jen-tse Huang 001; Wenxuan Wang 001; Eric John Li; Man Ho Lam; Shujie Ren; Youliang Yuan; Wenxiang Jiao; Zhaopeng Tu; Michael R. Lyu (CoRR, 2023)

Leveraging Word Guessing Games to Assess the Intelligence of Large Language Models. - Tian Liang; Zhiwei He 002; Jen-tse Huang 001; Wenxuan Wang 001; Wenxiang Jiao; Rui Wang 015; Yujiu Yang; Zhaopeng Tu; Shuming Shi 001; Xing Wang 007 (CoRR, 2023)

Not All Countries Celebrate Thanksgiving: On the Cultural Dominance in Large Language Models. - Wenxuan Wang 001; Wenxiang Jiao; Jingyuan Huang; Ruyi Dai; Jen-tse Huang 001; Zhaopeng Tu; Michael R. Lyu (ACL (1), 2024)

All Languages Matter: On the Multilingual Safety of LLMs. - Wenxuan Wang 001; Zhaopeng Tu; Chang Chen; Youliang Yuan; Jen-tse Huang 001; Wenxiang Jiao; Michael R. Lyu (ACL (Findings), 2024)

Unsupervised Sign Language Translation and Generation. - Zhengsheng Guo; Zhiwei He 002; Wenxiang Jiao; Xing Wang 007; Rui Wang 015; Kehai Chen; Zhaopeng Tu; Yong Xu 001; Min Zhang 005 (ACL (Findings), 2024)

Benchmarking and Improving Long-Text Translation with Large Language Models. - Longyue Wang; Zefeng Du; Wenxiang Jiao; Chenyang Lyu; Jianhui Pang; Leyang Cui; Kaiqiang Song; Derek F. Wong; Shuming Shi 001; Zhaopeng Tu (ACL (Findings), 2024)

On the Reliability of Psychological Scales on Large Language Models. - Jen-tse Huang 001; Wenxiang Jiao; Man Ho Lam; Eric John Li; Wenxuan Wang 001; Michael R. Lyu (EMNLP, 2024)

Encouraging Divergent Thinking in Large Language Models through Multi-Agent Debate. - Tian Liang; Zhiwei He 002; Wenxiang Jiao; Xing Wang 007; Yan Wang 060; Rui Wang 015; Yujiu Yang; Shuming Shi 001; Zhaopeng Tu (EMNLP, 2024)

LogicAsker: Evaluating and Improving the Logical Reasoning Ability of Large Language Models. - Yuxuan Wan; Wenxuan Wang 001; Yiliu Yang; Youliang Yuan; Jen-tse Huang 001; Pinjia He; Wenxiang Jiao; Michael R. Lyu (EMNLP, 2024)

On the Humanity of Conversational AI: Evaluating the Psychological Portrayal of LLMs. - Jen-tse Huang 001; Wenxuan Wang 001; Eric John Li; Man Ho Lam; Shujie Ren; Youliang Yuan; Wenxiang Jiao; Zhaopeng Tu; Michael R. Lyu (ICLR, 2024)

GPT-4 Is Too Smart To Be Safe: Stealthy Chat with LLMs via Cipher. - Youliang Yuan; Wenxiang Jiao; Wenxuan Wang 001; Jen-tse Huang 001; Pinjia He; Shuming Shi 001; Zhaopeng Tu (ICLR, 2024)

Improving Machine Translation with Human Feedback: An Exploration of Quality Estimation as a Reward Model. - Zhiwei He 002; Xing Wang 007; Wenxiang Jiao; Zhuosheng Zhang 001; Rui Wang 015; Shuming Shi 001; Zhaopeng Tu (NAACL-HLT, 2024)

NewTerm: Benchmarking Real-Time New Terms for Large Language Models with Annual Updates. - Hexuan Deng; Wenxiang Jiao; Xuebo Liu 002; Min Zhang 005; Zhaopeng Tu (NeurIPS, 2024)

Apathetic or Empathetic? Evaluating LLMs' Emotional Alignments with Humans. - Jen-tse Huang 001; Man Ho Lam; Eric John Li; Shujie Ren; Wenxuan Wang 001; Wenxiang Jiao; Zhaopeng Tu; Michael R. Lyu (NeurIPS, 2024)

Improving Gloss-free Sign Language Translation by Reducing Representation Density. - Jinhui Ye; Xing Wang 007; Wenxiang Jiao; Junwei Liang 001; Hui Xiong (NeurIPS, 2024)

Findings of the WMT 2024 Shared Task on Discourse-Level Literary Translation. - Longyue Wang; Siyou Liu; Chenyang Lyu; Wenxiang Jiao; Xing Wang 007; Jiahao Xu; Zhaopeng Tu; Yan Gu; Weiyu Chen; Minghao Wu; Liting Zhou; Philipp Koehn; et al. (WMT, 2024)

A & B == B & A: Triggering Logical Reasoning Failures in Large Language Models. - Yuxuan Wan; Wenxuan Wang 001; Yiliu Yang; Youliang Yuan; Jen-tse Huang 001; Pinjia He; Wenxiang Jiao; Michael R. Lyu (CoRR, 2024)

The Earth is Flat? Unveiling Factual Errors in Large Language Models. - Wenxuan Wang 001; Juluan Shi; Zhaopeng Tu; Youliang Yuan; Jen-tse Huang 001; Wenxiang Jiao; Michael R. Lyu (CoRR, 2024)

How Far Are We on the Decision-Making of LLMs? Evaluating LLMs' Gaming Ability in Multi-Agent Environments. - Jen-tse Huang 001; Eric John Li; Man Ho Lam; Tian Liang; Wenxuan Wang 001; Youliang Yuan; Wenxiang Jiao; Xing Wang 007; Zhaopeng Tu; Michael R. Lyu (CoRR, 2024)

CoAct: A Global-Local Hierarchy for Autonomous Agent Collaboration. - Xinming Hou; Mingming Yang; Wenxiang Jiao; Xing Wang 007; Zhaopeng Tu; Wayne Xin Zhao (CoRR, 2024)

Chain-of-Jailbreak Attack for Image Generation Models via Editing Step by Step. - Wenxuan Wang 001; Kuiyi Gao; Zihan Jia; Youliang Yuan; Jen-tse Huang 001; Qiuzhi Liu; Shuai Wang 011; Wenxiang Jiao; Zhaopeng Tu (CoRR, 2024)

DRPruning: Efficient Large Language Model Pruning through Distributionally Robust Optimization. - Hexuan Deng; Wenxiang Jiao; Xuebo Liu 002; Min Zhang 005; Zhaopeng Tu (CoRR, 2024)

Exploring Human-Like Translation Strategy with Large Language Models. - Zhiwei He 002; Tian Liang; Wenxiang Jiao; Zhuosheng Zhang 001; Yujiu Yang; Rui Wang 015; Zhaopeng Tu; Shuming Shi 001; Xing Wang 007 (Trans. Assoc. Comput. Linguistics, 2024)

Understanding and Mitigating the Uncertainty in Zero-Shot Translation. - Wenxuan Wang 001; Wenxiang Jiao; Shuo Wang 013; Zhaopeng Tu; Michael R. Lyu (IEEE ACM Trans. Audio Speech Lang. Process., 2024)

Chain-of-Jailbreak Attack for Image Generation Models via Step by Step Editing. - Wenxuan Wang 001; Kuiyi Gao; Youliang Yuan; Jen-tse Huang 001; Qiuzhi Liu; Shuai Wang 001; Wenxiang Jiao; Zhaopeng Tu (ACL (Findings), 2025)

DRPruning: Efficient Large Language Model Pruning through Distributionally Robust Optimization. - Hexuan Deng; Wenxiang Jiao; Xuebo Liu 002; Jing Li; Min Zhang 005; Zhaopeng Tu (ACL (1), 2025)

Refuse Whenever You Feel Unsafe: Improving Safety in LLMs via Decoupled Refusal Training. - Youliang Yuan; Wenxiang Jiao; Wenxuan Wang 001; Jen-tse Huang 001; Jiahao Xu; Tian Liang; Pinjia He; Zhaopeng Tu (ACL (1), 2025)

Competing Large Language Models in Multi-Agent Gaming Environments. - Jen-tse Huang 001; Eric John Li; Man Ho Lam; Tian Liang; Wenxuan Wang 001; Youliang Yuan; Wenxiang Jiao; Xing Wang 007; Zhaopeng Tu; Michael R. Lyu (ICLR, 2025)

RaSA: Rank-Sharing Low-Rank Adaptation. - Zhiwei He 002; Zhaopeng Tu; Xing Wang 007; Xingyu Chen; Zhijie Wang; Jiahao Xu; Tian Liang; Wenxiang Jiao; Zhuosheng Zhang 001; Rui Wang 015 (ICLR, 2025)

On the shortcut learning in multilingual neural machine translation. - Wenxuan Wang 001; Wenxiang Jiao; Jen-tse Huang 001; Zhaopeng Tu; Michael R. Lyu (Neurocomputing, 2025)

VisFactor: Benchmarking Fundamental Visual Cognition in Multimodal Large Language Models. - Jen-tse Huang 001; Dasen Dai; Jen-Yuan Huang; Youliang Yuan; Xiaoyuan Liu; Wenxuan Wang 001; Wenxiang Jiao; Pinjia He; Zhaopeng Tu (CoRR, 2025)

Towards Evaluating Proactive Risk Awareness of Multimodal Language Models. - Youliang Yuan; Wenxiang Jiao; Yuejin Xie; Chihao Shen; Menghan Tian; Wenxuan Wang 001; Jen-tse Huang 001; Pinjia He (CoRR, 2025)

REA-RL: Reflection-Aware Online Reinforcement Learning for Efficient Large Reasoning Models. - Hexuan Deng; Wenxiang Jiao; Xuebo Liu 002; Jun Rao; Min Zhang 005 (CoRR, 2025)