Wenxiang Jiao
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
32
Venues
7
Active years
2019–2026
Best venue rank
A*
Where they publish
Papers
32 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | Identifying the Achilles' Heel: An Iterative Method for Uncovering Factual Errors in Large Language Models. | Wenxuan Wang, Yuk-Kit Chan, Zixuan Ling, Juluan Shi, Youliang Yuan, Jen-tse Huang, Yifei Zhang, Wenxiang Jiao, Zhaopeng Tu, Michael R. Lyu |
| 2026 | ACL | Curing Miracle Steps in LLM Mathematical Reasoning with Rubric Rewards. | Youliang Yuan, Qiuyang Mang, Jingbang Chen, Hong Wan, Xiaoyuan Liu, Junjielong Xu, Jen-tse Huang, Wenxuan Wang, Wenxiang Jiao, Pinjia He |
| 2026 | ACL | LoopTool: Closing the Data-Training Loop for Robust LLM Tool Calls. | Kangning Zhang, Weiwen Liu, Wenxiang Jiao, Kounianhua Du, Yuan Lu, Weinan Zhang, Yong Yu |
| 2026 | WWW | DeepAgent: A General Reasoning Agent with Scalable Toolsets. | Xiaoxi Li, Wenxiang Jiao, Jiarui Jin, Guanting Dong, Jiajie Jin, Yinuo Wang, Hao Wang, Yutao Zhu, Ji-Rong Wen, Yuan Lu, Zhicheng Dou |
| 2025 | ACL | Chain-of-Jailbreak Attack for Image Generation Models via Step by Step Editing. | Wenxuan Wang, Kuiyi Gao, Youliang Yuan, Jen-tse Huang, Qiuzhi Liu, Shuai Wang, Wenxiang Jiao, Zhaopeng Tu |
| 2025 | ACL | DRPruning: Efficient Large Language Model Pruning through Distributionally Robust Optimization. | Hexuan Deng, Wenxiang Jiao, Xuebo Liu, Jing Li, Min Zhang, Zhaopeng Tu |
| 2025 | ACL | Refuse Whenever You Feel Unsafe: Improving Safety in LLMs via Decoupled Refusal Training. | Youliang Yuan, Wenxiang Jiao, Wenxuan Wang, Jen-tse Huang, Jiahao Xu, Tian Liang, Pinjia He, Zhaopeng Tu |
| 2025 | EMNLP | Learning to Ask: When LLM Agents Meet Unclear Instruction. | Wenxuan Wang, Juluan Shi, Zixuan Ling, Yuk-Kit Chan, Chaozheng Wang, Cheryl Lee, Youliang Yuan, Jen-tse Huang, Wenxiang Jiao, Michael R. Lyu |
| 2025 | ICLR | Competing Large Language Models in Multi-Agent Gaming 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 |
| 2025 | ICLR | RaSA: Rank-Sharing Low-Rank Adaptation. | Zhiwei He, Zhaopeng Tu, Xing Wang, Xingyu Chen, Zhijie Wang, Jiahao Xu, Tian Liang, Wenxiang Jiao, Zhuosheng Zhang, Rui Wang |
| 2024 | ACL | 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 |
| 2024 | ACL | All Languages Matter: On the Multilingual Safety of LLMs. | Wenxuan Wang, Zhaopeng Tu, Chang Chen, Youliang Yuan, Jen-tse Huang, Wenxiang Jiao, Michael R. Lyu |
| 2024 | ACL | Unsupervised Sign Language Translation and Generation. | Zhengsheng Guo, Zhiwei He, Wenxiang Jiao, Xing Wang, Rui Wang, Kehai Chen, Zhaopeng Tu, Yong Xu, Min Zhang |
| 2024 | ACL | 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, Zhaopeng Tu |
| 2024 | EMNLP | On the Reliability of Psychological Scales on Large Language Models. | Jen-tse Huang, Wenxiang Jiao, Man Ho Lam, Eric John Li, Wenxuan Wang, Michael R. Lyu |
| 2024 | EMNLP | 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, Shuming Shi, Zhaopeng Tu |
| 2024 | EMNLP | LogicAsker: Evaluating and Improving the Logical Reasoning Ability of Large Language Models. | Yuxuan Wan, Wenxuan Wang, Yiliu Yang, Youliang Yuan, Jen-tse Huang, Pinjia He, Wenxiang Jiao, Michael R. Lyu |
| 2024 | ICLR | On the Humanity of Conversational AI: Evaluating the Psychological Portrayal of LLMs. | Jen-tse Huang, Wenxuan Wang, Eric John Li, Man Ho Lam, Shujie Ren, Youliang Yuan, Wenxiang Jiao, Zhaopeng Tu, Michael R. Lyu |
| 2024 | ICLR | 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 |
| 2024 | NAACL | 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 |
| 2023 | ACL | 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 |
| 2023 | EACL | Scaling Back-Translation with Domain Text Generation for Sign Language Gloss Translation. | Jinhui Ye, Wenxiang Jiao, Xing Wang, Zhaopeng Tu |
| 2023 | EMNLP | 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 |
| 2023 | EMNLP | Cross-modality Data Augmentation for End-to-End Sign Language Translation. | Jinhui Ye, Wenxiang Jiao, Xing Wang, Zhaopeng Tu, Hui Xiong |
| 2022 | ACL | 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 |
| 2022 | EMNLP | Adapters for Enhanced Modeling of Multilingual Knowledge and Text. | Yifan Hou, Wenxiang Jiao, Meizhen Liu, Carl Allen, Zhaopeng Tu, Mrinmaya Sachan |
| 2021 | ACL | Self-Training Sampling with Monolingual Data Uncertainty for Neural Machine Translation. | Wenxiang Jiao, Xing Wang, Zhaopeng Tu, Shuming Shi, Michael R. Lyu, Irwin King |
| 2021 | NAACL | Multi-Task Learning with Shared Encoder for Non-Autoregressive Machine Translation. | Yongchang Hao, Shilin He, Wenxiang Jiao, Zhaopeng Tu, Michael R. Lyu, Xing Wang |
| 2020 | AAAI | Real-Time Emotion Recognition via Attention Gated Hierarchical Memory Network. | Wenxiang Jiao, Michael R. Lyu, Irwin King |
| 2020 | EMNLP | Exploiting Unsupervised Data for Emotion Recognition in Conversations. | Wenxiang Jiao, Michael R. Lyu, Irwin King |
| 2020 | EMNLP | Data Rejuvenation: Exploiting Inactive Training Examples for Neural Machine Translation. | Wenxiang Jiao, Xing Wang, Shilin He, Irwin King, Michael R. Lyu, Zhaopeng Tu |
| 2019 | NAACL | HiGRU: Hierarchical Gated Recurrent Units for Utterance-Level Emotion Recognition. | Wenxiang Jiao, Haiqin Yang, Irwin King, Michael R. Lyu |