| 2026 | AAAI | Long-form RewardBench: Evaluating Reward Models for Long-form Generation. | Hui Huang, Yancheng He, Wei Liu, Muyun Yang, Jiaheng Liu, Kehai Chen, Bing Xu, Conghui Zhu, Hailong Cao, Tiejun Zhao |
| 2026 | AAAI | Lost in Benchmarks? Rethinking Large Language Model Benchmarking with Item Response Theory. | Hongli Zhou, Hui Huang, Ziqing Zhao, Lvyuan Han, Huicheng Wang, Kehai Chen, Muyun Yang, Wei Bao, Jian Dong, Bing Xu, Conghui Zhu, Hailong Cao, Tiejun Zhao |
| 2025 | ACL | MuSC: Improving Complex Instruction Following with Multi-granularity Self-Contrastive Training. | Hui Huang, Jiaheng Liu, Yancheng He, Shilong Li, Bing Xu, Conghui Zhu, Muyun Yang, Tiejun Zhao |
| 2025 | COLING | A Chain-of-Task Framework for Instruction Tuning of LLMs Based on Chinese Grammatical Error Correction. | Xinpeng Liu, Bing Xu, Muyun Yang, Hailong Cao, Conghui Zhu, Tiejun Zhao, Wenpeng Lu |
| 2025 | COLING | LoRA-drop: Efficient LoRA Parameter Pruning based on Output Evaluation. | Hongyun Zhou, Xiangyu Lu, Wang Xu, Conghui Zhu, Tiejun Zhao, Muyun Yang |
| 2022 | NAACL | CLMLF: A Contrastive Learning and Multi-Layer Fusion Method for Multimodal Sentiment Detection. | Zhen Li, Bing Xu, Conghui Zhu, Tiejun Zhao |
| 2021 | CIKM | A Neural Conversation Generation Model via Equivalent Shared Memory Investigation. | Changzhen Ji, Yating Zhang, Xiaozhong Liu, Adam Jatowt, Changlong Sun, Conghui Zhu, Tiejun Zhao |
| 2020 | ACL | Demographics Should Not Be the Reason of Toxicity: Mitigating Discrimination in Text Classifications with Instance Weighting. | Guanhua Zhang, Bing Bai, Junqi Zhang, Kun Bai, Conghui Zhu, Tiejun Zhao |
| 2020 | ECAI | Multimodal Matching Transformer for Live Commenting. | Chaoqun Duan, Lei Cui, Shuming Ma, Furu Wei, Conghui Zhu, Tiejun Zhao |
| 2020 | EMNLP | Cross Copy Network for Dialogue Generation. | Changzhen Ji, Xin Zhou, Yating Zhang, Xiaozhong Liu, Changlong Sun, Conghui Zhu, Tiejun Zhao |
| 2019 | ACL | Selection Bias Explorations and Debias Methods for Natural Language Sentence Matching Datasets. | Guanhua Zhang, Bing Bai, Jian Liang, Kun Bai, Shiyu Chang, Mo Yu, Conghui Zhu, Tiejun Zhao |
| 2019 | EMNLP | Understanding Data Augmentation in Neural Machine Translation: Two Perspectives towards Generalization. | Guanlin Li, Lemao Liu, Guoping Huang, Conghui Zhu, Tiejun Zhao |
| 2019 | NAACL | Understanding and Improving Hidden Representations for Neural Machine Translation. | Guanlin Li, Lemao Liu, Xintong Li, Conghui Zhu, Tiejun Zhao, Shuming Shi |
| 2018 | IJCAI | Attention-Fused Deep Matching Network for Natural Language Inference. | Chaoqun Duan, Lei Cui, Xinchi Chen, Furu Wei, Conghui Zhu, Tiejun Zhao |
| 2016 | ICMLC | Neural machine translation research based on the semantic vector of the tri-lingual parallel corpus. | Xiaoxue Wang, Conghui Zhu, Sheng Li, Tiejun Zhao, Dequan Zheng |
| 2016 | ICNC | Exploiting Wikipedia priori knowledge for Chinese named entity recognition. | Jianfeng Li, Conghui Zhu, Sheng Li, Tiejun Zhao, Dequan Zheng |
| 2016 | ICNC | Domain adaptation for statistical machine translation. | Xiaoxue Wang, Conghui Zhu, Sheng Li, Tiejun Zhao, Dequan Zheng |
| 2016 | ICNC | Semantic computation in geography question answering. | Shanshan Zhao, Yuqing Zheng, Conghui Zhu, Tiejun Zhao, Sheng Li |
| 2014 | EMNLP | Improving Pivot-Based Statistical Machine Translation by Pivoting the Co-occurrence Count of Phrase Pairs. | Xiaoning Zhu, Zhongjun He, Hua Wu, Conghui Zhu, Haifeng Wang, Tiejun Zhao |
| 2013 | ACL | Hierarchical Phrase Table Combination for Machine Translation. | Conghui Zhu, Taro Watanabe, Eiichiro Sumita, Tiejun Zhao |
| 2013 | EMNLP | Improving Pivot-Based Statistical Machine Translation Using Random Walk. | Xiaoning Zhu, Zhongjun He, Hua Wu, Haifeng Wang, Conghui Zhu, Tiejun Zhao |
| 2013 | NLDB | Phrase Table Combination Deficiency Analyses in Pivot-Based SMT. | Yiming Cui, Conghui Zhu, Xiaoning Zhu, Tiejun Zhao, Dequan Zheng |
| 2012 | CIS | Extracting Main Content of a Topic on Online Social Network by Multi-document Summarization. | Chunyan Liu, Conghui Zhu, Tiejun Zhao, Dequan Zheng |
| 2012 | COLING | Expected Error Minimization with Ultraconservative Update for SMT. | Lemao Liu, Tiejun Zhao, Taro Watanabe, Hailong Cao, Conghui Zhu |
| 2012 | EMNLP | Locally Training the Log-Linear Model for SMT. | Lemao Liu, Hailong Cao, Taro Watanabe, Tiejun Zhao, Mo Yu, Conghui Zhu |
| 2007 | ACL | A Unified Tagging Approach to Text Normalization. | Conghui Zhu, Jie Tang, Hang Li, Hwee Tou Ng, Tiejun Zhao |