| 2026 | AAAI | GRAM-R²: Self-Training Generative Foundation Reward Models for Reward Reasoning. | Chenglong Wang, Yongyu Mu, Hang Zhou, Yifu Huo, Ziming Zhu, Jiali Zeng, Murun Yang, Bei Li, Xiaoyang Hao, Chunliang Zhang, Fandong Meng, Jingbo Zhu, Tong Xiao |
| 2026 | ACL | Knowing When to Quit: Diagnosing and Training LLMs to Abort Futile Reasoning. | Xinyan Guan, Jiali Zeng, Chunlei Xin, Yaojie Lu, Hongyu Lin, Xianpei Han, Le Sun, Fandong Meng |
| 2026 | ACL | Joint Optimization of Training Data and Policy in RLHF. | Zhuohao Yu, Jiali Zeng, Weizheng Gu, Mengyuan Sun, Yidong Wang, Fandong Meng, Jie Zhou, Shikun Zhang, Wei Ye |
| 2025 | ACL | LongDPO: Unlock Better Long-form Generation Abilities for LLMs via Critique-augmented Stepwise Information. | Bowen Ping, Jiali Zeng, Fandong Meng, Shuo Wang, Jie Zhou, Shanghang Zhang |
| 2025 | EMNLP | ConCISE: Confidence-guided Compression in Step-by-step Efficient Reasoning. | Ziqing Qiao, Yongheng Deng, Jiali Zeng, Dong Wang, Lai Wei, Guanbo Wang, Fandong Meng, Jie Zhou, Ju Ren, Yaoxue Zhang |
| 2025 | ICLR | DelTA: An Online Document-Level Translation Agent Based on Multi-Level Memory. | Yutong Wang, Jiali Zeng, Xuebo Liu, Derek F. Wong, Fandong Meng, Jie Zhou, Min Zhang |
| 2024 | AAAI | Generative Multi-Modal Knowledge Retrieval with Large Language Models. | Xinwei Long, Jiali Zeng, Fandong Meng, Zhiyuan Ma, Kaiyan Zhang, Bowen Zhou, Jie Zhou |
| 2024 | AAAI | Teaching Large Language Models to Translate with Comparison. | Jiali Zeng, Fandong Meng, Yongjing Yin, Jie Zhou |
| 2024 | AAAI | Tree-of-Reasoning Question Decomposition for Complex Question Answering with Large Language Models. | Kun Zhang, Jiali Zeng, Fandong Meng, Yuanzhuo Wang, Shiqi Sun, Long Bai, Huawei Shen, Jie Zhou |
| 2024 | ACL | Trust in Internal or External Knowledge? Generative Multi-Modal Entity Linking with Knowledge Retriever. | Xinwei Long, Jiali Zeng, Fandong Meng, Jie Zhou, Bowen Zhou |
| 2024 | ACL | Understanding and Addressing the Under-Translation Problem from the Perspective of Decoding Objective. | Chenze Shao, Fandong Meng, Jiali Zeng, Jie Zhou |
| 2024 | ACL | TasTe: Teaching Large Language Models to Translate through Self-Reflection. | Yutong Wang, Jiali Zeng, Xuebo Liu, Fandong Meng, Jie Zhou, Min Zhang |
| 2024 | ACL | Improving Machine Translation with Large Language Models: A Preliminary Study with Cooperative Decoding. | Jiali Zeng, Fandong Meng, Yongjing Yin, Jie Zhou |
| 2024 | EMNLP | LexMatcher: Dictionary-centric Data Curation for LLM-based Machine Translation. | Yongjing Yin, Jiali Zeng, Yafu Li, Fandong Meng, Yue Zhang |
| 2023 | ACL | Consistency Regularization Training for Compositional Generalization. | Yongjing Yin, Jiali Zeng, Yafu Li, Fandong Meng, Jie Zhou, Yue Zhang |
| 2023 | ACL | Soft Language Clustering for Multilingual Model Pre-training. | Jiali Zeng, Yufan Jiang, Yongjing Yin, Yi Jing, Fandong Meng, Binghuai Lin, Yunbo Cao, Jie Zhou |
| 2022 | ACL | Type-Driven Multi-Turn Corrections for Grammatical Error Correction. | Shaopeng Lai, Qingyu Zhou, Jiali Zeng, Zhongli Li, Chao Li, Yunbo Cao, Jinsong Su |
| 2022 | ACL | Learning Confidence for Transformer-based Neural Machine Translation. | Yu Lu, Jiali Zeng, Jiajun Zhang, Shuangzhi Wu, Mu Li |
| 2022 | ACL | Task-guided Disentangled Tuning for Pretrained Language Models. | Jiali Zeng, Yufan Jiang, Shuangzhi Wu, Yongjing Yin, Mu Li |
| 2022 | COLING | An Efficient Coarse-to-Fine Facet-Aware Unsupervised Summarization Framework Based on Semantic Blocks. | Xinnian Liang, Jing Li, Shuangzhi Wu, Jiali Zeng, Yufan Jiang, Mu Li, Zhoujun Li |
| 2022 | EMNLP | DualNER: A Dual-Teaching framework for Zero-shot Cross-lingual Named Entity Recognition. | Jiali Zeng, Yufan Jiang, Yongjing Yin, Xu Wang, Binghuai Lin, Yunbo Cao |
| 2022 | EMNLP | Contrastive Learning with Prompt-derived Virtual Semantic Prototypes for Unsupervised Sentence Embedding. | Jiali Zeng, Yongjing Yin, Yufan Jiang, Shuangzhi Wu, Yunbo Cao |
| 2021 | ACL | Attention Calibration for Transformer in Neural Machine Translation. | Yu Lu, Jiali Zeng, Jiajun Zhang, Shuangzhi Wu, Mu Li |
| 2021 | EMNLP | Improving Graph-based Sentence Ordering with Iteratively Predicted Pairwise Orderings. | Shaopeng Lai, Ante Wang, Fandong Meng, Jie Zhou, Yubin Ge, Jiali Zeng, Junfeng Yao, Degen Huang, Jinsong Su |
| 2021 | EMNLP | Recurrent Attention for Neural Machine Translation. | Jiali Zeng, Shuangzhi Wu, Yongjing Yin, Yufan Jiang, Mu Li |
| 2020 | AAAI | Neural Simile Recognition with Cyclic Multitask Learning and Local Attention. | Jiali Zeng, Linfeng Song, Jinsong Su, Jun Xie, Wei Song, Jiebo Luo |
| 2020 | COLING | Synonym Knowledge Enhanced Reader for Chinese Idiom Reading Comprehension. | Siyu Long, Ran Wang, Kun Tao, Jiali Zeng, Xinyu Dai |
| 2019 | EMNLP | Iterative Dual Domain Adaptation for Neural Machine Translation. | Jiali Zeng, Yang Liu, Jinsong Su, Yubin Ge, Yaojie Lu, Yongjing Yin, Jiebo Luo |
| 2019 | IJCAI | Graph-based Neural Sentence Ordering. | Yongjing Yin, Linfeng Song, Jinsong Su, Jiali Zeng, Chulun Zhou, Jiebo Luo |
| 2018 | EMNLP | Multi-Domain Neural Machine Translation with Word-Level Domain Context Discrimination. | Jiali Zeng, Jinsong Su, Huating Wen, Yang Liu, Jun Xie, Yongjing Yin, Jianqiang Zhao |