| 2026 | AAAI | Finding the Translation Switch: Discovering and Exploiting the Task-Initiation Features in LLMs. | Xinwei Wu, Heng Liu, Xiaohu Zhao, Yuqi Ren, Linlong Xu, Longyue Wang, Deyi Xiong, Weihua Luo, Kaifu Zhang |
| 2026 | ACL | SARA: Unlocking Multilingual Knowledge in Mixture-of-Experts via Semantically Anchored Routing Alignment. | Tianyu Dong, Yangyang Liu, Jiang Zhou, Xinwei Wu, Xiaohu Zhao, Hao Wang, Heng Liu, Linlong Xu, Longyue Wang, Weihua Luo, Shaolin Zhu, Deyi Xiong |
| 2026 | ACL | ERRV: Eliciting Efficient Reasoning through Reasoning Vectors for Policy Optimization in Large Language Models. | Zhuowen Han, Lei Yang, Renren Jin, Dan Shi, Chenxi Sun, Deyi Xiong |
| 2026 | ACL | TENP: Trapezoidal Expert Neuron Pruning For Mixture-of-Experts. | Jiangyang He, Shaolin Zhu, Deyi Xiong |
| 2026 | ACL | Revisiting Entropy in Reinforcement Learning for Large Reasoning Models. | Renren Jin, Pengzhi Gao, Yuqi Ren, Zhuowen Han, Tongxuan Zhang, Wuwei Huang, Wei Liu, Jian Luan, Deyi Xiong |
| 2026 | ACL | MASS: Deep Research for Social Sciences with Memory-Augmented Social Simulation. | Yongrui Liu, Deyi Xiong |
| 2026 | ACL | AdaDPI: Document-level Translation Adaptive Agent via Dynamic Parametric Internalization. | Hong Ren, Liting Deng, Shaolin Zhu, Deyi Xiong |
| 2026 | ACL | Why Does Reinforcement Learning Generalize? A Feature-Level Mechanistic Study of Post-Training in Large Language Models. | Dan Shi, Zhuowen Han, Simon Ostermann, Renren Jin, Josef van Genabith, Deyi Xiong |
| 2026 | ACL | Neuronal Insights into LLM Attacks: Targeted Neuron Tuning for Precise and Robust Vulnerability Patching. | Dan Shi, Renren Jin, Zhuowen Han, Yuqi Ren, Xinwei Wu, Zhigen Li, Deyi Xiong |
| 2026 | ACL | From Insight to Action: A Novel Framework for Interpretability-Guided Data Selection in Large Language Models. | Ling Shi, Xinwei Wu, Xiaohu Zhao, Hao Wang, Heng Liu, Yangyang Liu, Linlong Xu, Longyue Wang, Deyi Xiong, Weihua Luo |
| 2026 | ACL | ExpertIVS: Sociological Expert Driven Individual Value Simulation in Large Language Models. | Zhen Wang, Yuqi Ren, Yuehan Cui, Hongxiang Wang, Jianxiang Peng, Zhaoxia Zhang, Bingkun Zhu, Tongxuan Zhang, Dezhi Tong, Deyi Xiong |
| 2026 | ACL | EvoSci: A Bio-Inspired Multi-Agent Framework for the Evolution of Scientific Discovery. | Xiaoyu Xiong, Yuqi Ren, Deyi Xiong |
| 2026 | ACL | From Curated Data to Scalable Models: Continual Pre-training of Dense and MoE Large Language Models for Tibetan. | Lei Yang, Leiyu Pan, Bojian Xiong, Renren Jin, Shaowei Zhang, Yue Chen, Ling Shi, Jiang Zhou, Junru Wu, Zhen Wang, Jianxiang Peng, Juesi Xiao, Tianyu Dong, Zhuowen Han, Zhuo Chen, Yuqi Ren, Deyi Xiong |
| 2026 | ACL | Beyond Value Benchmarks: Measuring Value-Structure Alignment in Large Language Models via Symmetric Q-Sorts. | Jingting Zheng, Yuqi Ren, Linhao Yu, Yongqi Leng, Deyi Xiong |
| 2026 | ACL | Thesis Proposal: Diagnosing and Mitigating Semantic Interference in Script-Sharing Low-Resource Language Models: A Case Study on Square Bai Script. | Jingting Zheng, Deyi Xiong |
| 2026 | ACL | Incentivizing Parametric Knowledge via Reinforcement Learning with Verifiable Rewards for Cross-Cultural Entity Translation. | Jiang Zhou, Xiaohu Zhao, Xinwei Wu, Tianyu Dong, Hao Wang, Yangyang Liu, Heng Liu, Linlong Xu, Longyue Wang, Weihua Luo, Deyi Xiong |
| 2026 | ACL | DVMap: Fine-Grained Pluralistic Value Alignment via High-Consensus Demographic-Value Mapping. | Pengyun Zhu, Yuqi Ren, Zhen Wang, Lei Yang, Deyi Xiong |
| 2026 | ACL | APPSI-139: A Parallel Corpus of English Application Privacy Policy Summarization and Interpretation. | Pengyun Zhu, Qiheng Sun, Long Wen, Yanbo Wang, Yang Cao, Junxu Liu, Deyi Xiong, Jinfei Liu, Zhibo Wang, Kui Ren |
| 2025 | ACL | MLAS-LoRA: Language-Aware Parameters Detection and LoRA-Based Knowledge Transfer for Multilingual Machine Translation. | Tianyu Dong, Bo Li, Jinsong Liu, Shaolin Zhu, Deyi Xiong |
| 2025 | ACL | Praetor: A Fine-Grained Generative LLM Evaluator with Instance-Level Customizable Evaluation Criteria. | Yongqi Leng, Renren Jin, Yue Chen, Zhuowen Han, Ling Shi, Jianxiang Peng, Lei Yang, Juesi Xiao, Deyi Xiong |
| 2025 | ACL | ChatSOP: An SOP-Guided MCTS Planning Framework for Controllable LLM Dialogue Agents. | Zhigen Li, Jianxiang Peng, Yanmeng Wang, Yong Cao, Tianhao Shen, Minghui Zhang, Linxi Su, Shang Wu, Yihang Wu, Yuqian Wang, Ye Wang, Wei Hu, Jianfeng Li, Shaojun Wang, Jing Xiao, Deyi Xiong |
| 2025 | ACL | CRiskEval: A Chinese Multi-Level Risk Evaluation Benchmark Dataset for Large Language Models. | Ling Shi, Deyi Xiong |
| 2025 | ACL | C²RBench: A Chinese Complex Reasoning Benchmark for Large Language Models. | Junru Wu, Tianhao Shen, Linxi Su, Deyi Xiong |
| 2025 | ACL | Evaluating Multimodal Large Language Models on Video Captioning via Monte Carlo Tree Search. | Linhao Yu, Xingguang Ji, Yahui Liu, Fanheng Kong, Chenxi Sun, Jingyuan Zhang, Hongzhi Zhang, Victoria W., Fuzheng Zhang, Deyi Xiong |
| 2025 | ACL | Debate4MATH: Multi-Agent Debate for Fine-Grained Reasoning in Math. | Shaowei Zhang, Deyi Xiong |
| 2025 | COLING | CONTRANS: Weak-to-Strong Alignment Engineering via Concept Transplantation. | Weilong Dong, Xinwei Wu, Renren Jin, Shaoyang Xu, Deyi Xiong |
| 2025 | COLING | Automated Progressive Red Teaming. | Bojian Jiang, Yi Jing, Tong Wu, Tianhao Shen, Deyi Xiong, Qing Yang |
| 2025 | COLING | Towards Understanding Multi-Task Learning (Generalization) of LLMs via Detecting and Exploring Task-Specific Neurons. | Yongqi Leng, Deyi Xiong |
| 2025 | COLING | Empirical Study on Data Attributes Insufficiency of Evaluation Benchmarks for LLMs. | Chuang Liu, Renren Jin, Zheng Yao, Tianyi Li, Liang Cheng, Mark Steedman, Deyi Xiong |
| 2025 | COLING | Do Large Language Models Mirror Cognitive Language Processing? | Yuqi Ren, Renren Jin, Tongxuan Zhang, Deyi Xiong |
| 2025 | COLING | BackMATH: Towards Backward Reasoning for Solving Math Problems Step by Step. | Shaowei Zhang, Deyi Xiong |
| 2025 | EMNLP | Towards a Unified Paradigm of Concept Editing in Large Language Models. | Zhuowen Han, Xinwei Wu, Dan Shi, Renren Jin, Deyi Xiong |
| 2025 | EMNLP | DecEx-RAG: Boosting Agentic Retrieval-Augmented Generation with Decision and Execution Optimization via Process Supervision. | Yongqi Leng, Yikun Lei, Xikai Liu, Meizhi Zhong, Bojian Xiong, Yurong Zhang, Yan Gao, Yi Wu, Yao Hu, Deyi Xiong |
| 2025 | EMNLP | HighMATH: Evaluating Math Reasoning of Large Language Models in Breadth and Depth. | Yan Liu, Minghui Zhang, Bojian Xiong, Yifan Xiao, Yinong Sun, Yating Mei, Longyu Zeng, Jingchao Yang, Yang Wang, Deyi Xiong |
| 2025 | EMNLP | Towards Optimal Evaluation Efficiency for Large Language Models. | Guohong Li, Deyi Xiong |
| 2025 | EMNLP | DiplomacyAgent: Do LLMs Balance Interests and Ethical Principles in International Events? | Jianxiang Peng, Ling Shi, Xinwei Wu, Hanwen Zhang, Fujiang Liu, Haocheng Lyu, Deyi Xiong |
| 2025 | EMNLP | Think-Search-Patch: A Retrieval-Augmented Reasoning Framework for Repository-Level Code Repair. | Bojian Xiong, Yikun Lei, Xikai Liu, Shaowei Zhang, Pengyun Zhu, Yan Liu, Yongqi Leng, Ling Shi, Meizhi Zhong, Yurong Zhang, Yan Gao, Yi Wu, Yao Hu, Deyi Xiong |
| 2025 | EMNLP | DCIS: Efficient Length Extrapolation of LLMs via Divide-and-Conquer Scaling Factor Search. | Lei Yang, Shaoyang Xu, Jianxiang Peng, Shaolin Zhu, Deyi Xiong |
| 2025 | NAACL | Evaluating and Improving Graph to Text Generation with Large Language Models. | Jie He, Yijun Yang, Wanqiu Long, Deyi Xiong, Vctor Gutirrez-Basulto, Jeff Z. Pan |
| 2025 | NAACL | Self-Pluralising Culture Alignment for Large Language Models. | Shaoyang Xu, Yongqi Leng, Linhao Yu, Deyi Xiong |
| 2025 | WWW | Optimize Quantization for Large Language Models via Progressive Training. | Jiangcun Du, Renren Jin, Wuwei Huang, Wei Liu, Jian Luan, Deyi Xiong |
| 2024 | AAAI | Watermarking Conditional Text Generation for AI Detection: Unveiling Challenges and a Semantic-Aware Watermark Remedy. | Yu Fu, Deyi Xiong, Yue Dong |
| 2024 | AAAI | CORECODE: A Common Sense Annotated Dialogue Dataset with Benchmark Tasks for Chinese Large Language Models. | Dan Shi, Chaobin You, Jiantao Huang, Taihao Li, Deyi Xiong |
| 2024 | ACL | OpenEval: Benchmarking Chinese LLMs across Capability, Alignment and Safety. | Chuang Liu, Linhao Yu, Jiaxuan Li, Renren Jin, Yufei Huang, Ling Shi, Junhui Zhang, Xinmeng Ji, Tingting Cui, Tao Liu, Jinwang Song, Hongying Zan, Sun Li, Deyi Xiong |
| 2024 | ACL | Efficiently Exploring Large Language Models for Document-Level Machine Translation with In-context Learning. | Menglong Cui, Jiangcun Du, Shaolin Zhu, Deyi Xiong |
| 2024 | ACL | CToolEval: A Chinese Benchmark for LLM-Powered Agent Evaluation in Real-World API Interactions. | Zishan Guo, Yufei Huang, Deyi Xiong |
| 2024 | ACL | A Comprehensive Evaluation of Quantization Strategies for Large Language Models. | Renren Jin, Jiangcun Du, Wuwei Huang, Wei Liu, Jian Luan, Bin Wang, Deyi Xiong |
| 2024 | ACL | Mitigating Privacy Seesaw in Large Language Models: Augmented Privacy Neuron Editing via Activation Patching. | Xinwei Wu, Weilong Dong, Shaoyang Xu, Deyi Xiong |
| 2024 | ACL | CMoralEval: A Moral Evaluation Benchmark for Chinese Large Language Models. | Linhao Yu, Yongqi Leng, Yufei Huang, Shang Wu, Haixin Liu, Xinmeng Ji, Jiahui Zhao, Jinwang Song, Tingting Cui, Xiaoqing Cheng, Liutao Liutao, Deyi Xiong |
| 2024 | ACL | LANDeRMT: Dectecting and Routing Language-Aware Neurons for Selectively Finetuning LLMs to Machine Translation. | Shaolin Zhu, Leiyu Pan, Bo Li, Deyi Xiong |
| 2024 | COLING | CBBQ: A Chinese Bias Benchmark Dataset Curated with Human-AI Collaboration for Large Language Models. | Yufei Huang, Deyi Xiong |
| 2024 | COLING | IT2ACL Learning Easy-to-Hard Instructions via 2-Phase Automated Curriculum Learning for Large Language Models. | Yufei Huang, Deyi Xiong |
| 2024 | COLING | LHMKE: A Large-scale Holistic Multi-subject Knowledge Evaluation Benchmark for Chinese Large Language Models. | Chuang Liu, Renren Jin, Yuqi Ren, Deyi Xiong |
| 2024 | COLING | Can Large Language Models Learn Translation Robustness from Noisy-Source In-context Demonstrations? | Leiyu Pan, Yongqi Leng, Deyi Xiong |
| 2024 | COLING | Decoding at the Speed of Thought: Harnessing Parallel Decoding of Lexical Units for LLMs. | Chenxi Sun, Hongzhi Zhang, Zijia Lin, Jingyuan Zhang, Fuzheng Zhang, Zhongyuan Wang, Bin Chen, Chengru Song, Di Zhang, Kun Gai, Deyi Xiong |
| 2024 | COLING | An Empirical Study on the Robustness of Massively Multilingual Neural Machine Translation. | Supryadi, Leiyu Pan, Deyi Xiong |
| 2024 | COLING | Rewiring the Transformer with Depth-Wise LSTMs. | Hongfei Xu, Yang Song, Qiuhui Liu, Josef van Genabith, Deyi Xiong |
| 2024 | COLING | LFED: A Literary Fiction Evaluation Dataset for Large Language Models. | Linhao Yu, Qun Liu, Deyi Xiong |
| 2024 | COLING | Towards Robust In-Context Learning for Machine Translation with Large Language Models. | Shaolin Zhu, Menglong Cui, Deyi Xiong |
| 2024 | ECAI | Reassessing Non-Autoregressive Neural Machine Translation with a Fine-Grained Error Taxonomy. | Yan Liu, Longyue Wang, Zhaopeng Tu, Deyi Xiong |
| 2024 | EMNLP | FuxiTranyu: A Multilingual Large Language Model Trained with Balanced Data. | Haoran Sun, Renren Jin, Shaoyang Xu, Leiyu Pan, Supryadi, Menglong Cui, Jiangcun Du, Yikun Lei, Lei Yang, Ling Shi, Juesi Xiao, Shaolin Zhu, Deyi Xiong |
| 2024 | EMNLP | Exploring Multilingual Concepts of Human Values in Large Language Models: Is Value Alignment Consistent, Transferable and Controllable across Languages? | Shaoyang Xu, Weilong Dong, Zishan Guo, Xinwei Wu, Deyi Xiong |
| 2024 | ICASSP | End-to-End Speech Translation with Mutual Knowledge Distillation. | Hao Wang, Zhengshan Xue, Yikun Lei, Deyi Xiong |
| 2024 | ICASSP | Enhanced Transfer Learning with Efficient Modeling and Adaptive Fusion of Knowledge Via Prompt Tuning. | Minghui Xu, Zishan Guo, Yulong Zeng, Deyi Xiong |
| 2023 | ACL | CKDST: Comprehensively and Effectively Distill Knowledge from Machine Translation to End-to-End Speech Translation. | Yikun Lei, Zhengshan Xue, Xiaohu Zhao, Haoran Sun, Shaolin Zhu, Xiaodong Lin, Deyi Xiong |
| 2023 | ACL | Tab-CQA: A Tabular Conversational Question Answering Dataset on Financial Reports. | Chuang Liu, Junzhuo Li, Deyi Xiong |
| 2023 | ACL | X-RiSAWOZ: High-Quality End-to-End Multilingual Dialogue Datasets and Few-shot Agents. | Mehrad Moradshahi, Tianhao Shen, Kalika Bali, Monojit Choudhury, Gal de Chalendar, Anmol Goel, Sungkyun Kim, Prashant Kodali, Ponnurangam Kumaraguru, Nasredine Semmar, Sina J. Semnani, Jiwon Seo, Vivek Seshadri, Manish Shrivastava, Michael Sun, Aditya Yadavalli, Chaobin You, Deyi Xiong, Monica S. Lam |
| 2023 | ACL | HuaSLIM: Human Attention Motivated Shortcut Learning Identification and Mitigation for Large Language models. | Yuqi Ren, Deyi Xiong |
| 2023 | ACL | PEIT: Bridging the Modality Gap with Pre-trained Models for End-to-End Image Translation. | Shaolin Zhu, Shangjie Li, Yikun Lei, Deyi Xiong |
| 2023 | EMNLP | Inverse Reinforcement Learning for Text Summarization. | Yu Fu, Deyi Xiong, Yue Dong |
| 2023 | EMNLP | CS2W: A Chinese Spoken-to-Written Style Conversion Dataset with Multiple Conversion Types. | Zishan Guo, Linhao Yu, Minghui Xu, Renren Jin, Deyi Xiong |
| 2023 | EMNLP | MMNMT: Modularizing Multilingual Neural Machine Translation with Flexibly Assembled MoE and Dense Blocks. | Shangjie Li, Xiangpeng Wei, Shaolin Zhu, Jun Xie, Baosong Yang, Deyi Xiong |
| 2023 | EMNLP | Is Robustness Transferable across Languages in Multilingual Neural Machine Translation? | Leiyu Pan, Supryadi, Deyi Xiong |
| 2023 | EMNLP | Towards a Deep Understanding of Multilingual End-to-End Speech Translation. | Haoran Sun, Xiaohu Zhao, Yikun Lei, Shaolin Zhu, Deyi Xiong |
| 2023 | EMNLP | DEPN: Detecting and Editing Privacy Neurons in Pretrained Language Models. | Xinwei Wu, Junzhuo Li, Minghui Xu, Weilong Dong, Shuangzhi Wu, Chao Bian, Deyi Xiong |
| 2023 | EMNLP | Language Representation Projection: Can We Transfer Factual Knowledge across Languages in Multilingual Language Models? | Shaoyang Xu, Junzhuo Li, Deyi Xiong |
| 2023 | EMNLP | CCSRD: Content-Centric Speech Representation Disentanglement Learning for End-to-End Speech Translation. | Xiaohu Zhao, Haoran Sun, Yikun Lei, Shaolin Zhu, Deyi Xiong |
| 2023 | ICASSP | Joint Training and Decoding for Multilingual End-to-End Simultaneous Speech Translation. | Wuwei Huang, Renren Jin, Wen Zhang, Jian Luan, Bin Wang, Deyi Xiong |
| 2023 | ICLR | SCoMoE: Efficient Mixtures of Experts with Structured Communication. | Zhiyuan Zeng, Deyi Xiong |
| 2023 | IJCAI | Unsupervised and Few-Shot Parsing from Pretrained Language Models (Extended Abstract). | Zhiyuan Zeng, Deyi Xiong |
| 2023 | Interspeech | GhostRNN: Reducing State Redundancy in RNN with Cheap Operations. | Hang Zhou, Xiaoxu Zheng, Yunhe Wang, Michael Bi Mi, Deyi Xiong, Kai Han |
| 2022 | AAAI | Bridging between Cognitive Processing Signals and Linguistic Features via a Unified Attentional Network. | Yuqi Ren, Deyi Xiong |
| 2022 | ACL | KaFSP: Knowledge-Aware Fuzzy Semantic Parsing for Conversational Question Answering over a Large-Scale Knowledge Base. | Junzhuo Li, Deyi Xiong |
| 2022 | ACL | CogTaskonomy: Cognitively Inspired Task Taxonomy Is Beneficial to Transfer Learning in NLP. | Yifei Luo, Minghui Xu, Deyi Xiong |
| 2022 | ACL | Efficient Cluster-Based | Dexin Wang, Kai Fan, Boxing Chen, Deyi Xiong |
| 2022 | ACL | Learning Disentangled Semantic Representations for Zero-Shot Cross-Lingual Transfer in Multilingual Machine Reading Comprehension. | Linjuan Wu, Shaojuan Wu, Xiaowang Zhang, Deyi Xiong, Shizhan Chen, Zhiqiang Zhuang, Zhiyong Feng |
| 2022 | COLING | ParaZh-22M: A Large-Scale Chinese Parabank via Machine Translation. | Wenjie Hao, Hongfei Xu, Deyi Xiong, Hongying Zan, Lingling Mu |
| 2022 | COLING | Informative Language Representation Learning for Massively Multilingual Neural Machine Translation. | Renren Jin, Deyi Xiong |
| 2022 | COLING | CoDoNMT: Modeling Cohesion Devices for Document-Level Neural Machine Translation. | Yikun Lei, Yuqi Ren, Deyi Xiong |
| 2022 | COLING | Language Branch Gated Multilingual Neural Machine Translation. | Haoran Sun, Deyi Xiong |
| 2022 | EMNLP | CoCoID: Learning Contrastive Representations and Compact Clusters for Semi-Supervised Intent Discovery. | Qian Cao, Deyi Xiong, Qinlong Wang, Xia Peng |
| 2022 | EMNLP | Recovering Gold from Black Sand: Multilingual Dense Passage Retrieval with Hard and False Negative Samples. | Tianhao Shen, Mingtong Liu, Ming Zhou, Deyi Xiong |
| 2022 | EMNLP | Long Text Generation with Topic-aware Discrete Latent Variable Model. | Erguang Yang, Mingtong Liu, Deyi Xiong, Yujie Zhang, Yufeng Chen, Jinan Xu |
| 2022 | IJCNLP | Adversarially Improving NMT Robustness to ASR Errors with Confusion Sets. | Shuaibo Wang, Yufeng Chen, Songming Zhang, Deyi Xiong, Jinan Xu |
| 2022 | NAACL | Learning Structural Information for Syntax-Controlled Paraphrase Generation. | Erguang Yang, Chenglin Bai, Deyi Xiong, Yujie Zhang, Yao Meng, Jinan Xu, Yufeng Chen |
| 2021 | AAAI | Integrating Pre-trained Model into Rule-based Dialogue Management. | Jun Quan, Meng Yang, Qiang Gan, Deyi Xiong, Yiming Liu, Yuchen Dong, Fangxin Ouyang, Jun Tian, Ruiling Deng, Yongzhi Li, Yang Yang, Daxin Jiang |
| 2021 | AAAI | Efficient Object-Level Visual Context Modeling for Multimodal Machine Translation: Masking Irrelevant Objects Helps Grounding. | Dexin Wang, Deyi Xiong |
| 2021 | ACL | TGEA: An Error-Annotated Dataset and Benchmark Tasks for TextGeneration from Pretrained Language Models. | Jie He, Bo Peng, Yi Liao, Qun Liu, Deyi Xiong |
| 2021 | ACL | Enhancing Chinese Word Segmentation via Pseudo Labels for Practicability. | Kaiyu Huang, Junpeng Liu, Degen Huang, Deyi Xiong, Zhuang Liu, Jinsong Su |
| 2021 | ACL | AdaST: Dynamically Adapting Encoder States in the Decoder for End-to-End Speech-to-Text Translation. | Wuwei Huang, Dexin Wang, Deyi Xiong |
| 2021 | ACL | CogAlign: Learning to Align Textual Neural Representations to Cognitive Language Processing Signals. | Yuqi Ren, Deyi Xiong |
| 2021 | ACL | Modeling Task-Aware MIMO Cardinality for Efficient Multilingual Neural Machine Translation. | Hongfei Xu, Qiuhui Liu, Josef van Genabith, Deyi Xiong |
| 2021 | ACL | Multi-Head Highly Parallelized LSTM Decoder for Neural Machine Translation. | Hongfei Xu, Qiuhui Liu, Josef van Genabith, Deyi Xiong, Meng Zhang |
| 2021 | ACL | An Empirical Study on Adversarial Attack on NMT: Languages and Positions Matter. | Zhiyuan Zeng, Deyi Xiong |
| 2021 | EMNLP | Chinese WPLC: A Chinese Dataset for Evaluating Pretrained Language Models on Word Prediction Given Long-Range Context. | Huibin Ge, Chenxi Sun, Deyi Xiong, Qun Liu |
| 2021 | EMNLP | Re-embedding Difficult Samples via Mutual Information Constrained Semantically Oversampling for Imbalanced Text Classification. | Jiachen Tian, Shizhan Chen, Xiaowang Zhang, Zhiyong Feng, Deyi Xiong, Shaojuan Wu, Chunliu Dou |
| 2021 | EMNLP | Secoco: Self-Correcting Encoding for Neural Machine Translation. | Tao Wang, Chengqi Zhao, Mingxuan Wang, Lei Li, Hang Li, Deyi Xiong |
| 2021 | EMNLP | Learning Hard Retrieval Decoder Attention for Transformers. | Hongfei Xu, Qiuhui Liu, Josef van Genabith, Deyi Xiong |
| 2021 | EMNLP | Syntactically-Informed Unsupervised Paraphrasing with Non-Parallel Data. | Erguang Yang, Mingtong Liu, Deyi Xiong, Yujie Zhang, Yao Meng, Changjian Hu, Jinan Xu, Yufeng Chen |
| 2021 | ICASSP | Modeling Homophone Noise for Robust Neural Machine Translation. | Wenjie Qin, Xiang Li, Yuhui Sun, Deyi Xiong, Jianwei Cui, Bin Wang |
| 2021 | Interspeech | Domain-Aware Self-Attention for Multi-Domain Neural Machine Translation. | Shiqi Zhang, Yan Liu, Deyi Xiong, Pei Zhang, Boxing Chen |
| 2021 | NAACL | Autocorrect in the Process of Translation - Multi-task Learning Improves Dialogue Machine Translation. | Tao Wang, Chengqi Zhao, Mingxuan Wang, Lei Li, Deyi Xiong |
| 2021 | NAACL | Probing Word Translations in the Transformer and Trading Decoder for Encoder Layers. | Hongfei Xu, Josef van Genabith, Qiuhui Liu, Deyi Xiong |
| 2020 | ACL | Modeling Long Context for Task-Oriented Dialogue State Generation. | Jun Quan, Deyi Xiong |
| 2020 | ACL | Dynamically Adjusting Transformer Batch Size by Monitoring Gradient Direction Change. | Hongfei Xu, Josef van Genabith, Deyi Xiong, Qiuhui Liu |
| 2020 | ACL | Learning Source Phrase Representations for Neural Machine Translation. | Hongfei Xu, Josef van Genabith, Deyi Xiong, Qiuhui Liu, Jingyi Zhang |
| 2020 | ACL | Lipschitz Constrained Parameter Initialization for Deep Transformers. | Hongfei Xu, Qiuhui Liu, Josef van Genabith, Deyi Xiong, Jingyi Zhang |
| 2020 | COLING | Balanced Joint Adversarial Training for Robust Intent Detection and Slot Filling. | Xu Cao, Deyi Xiong, Chongyang Shi, Chao Wang, Yao Meng, Changjian Hu |
| 2020 | COLING | Cycle-Consistent Adversarial Autoencoders for Unsupervised Text Style Transfer. | Yufang Huang, Wentao Zhu, Deyi Xiong, Yiye Zhang, Changjian Hu, Feiyu Xu |
| 2020 | COLING | A Learning-Exploring Method to Generate Diverse Paraphrases with Multi-Objective Deep Reinforcement Learning. | Mingtong Liu, Erguang Yang, Deyi Xiong, Yujie Zhang, Yao Meng, Changjian Hu, Jinan Xu, Yufeng Chen |
| 2020 | ECAI | Learning to Reuse Translations: Guiding Neural Machine Translation with Examples. | Qian Cao, Shaohui Kuang, Deyi Xiong |
| 2020 | ECAI | Learning Contextualized Sentence Representations for Document-Level Neural Machine Translation. | Pei Zhang, Xu Zhang, Wei Chen, Jian Yu, Yanfeng Wang, Deyi Xiong |
| 2020 | EMNLP | The Box is in the Pen: Evaluating Commonsense Reasoning in Neural Machine Translation. | Jie He, Tao Wang, Deyi Xiong, Qun Liu |
| 2020 | EMNLP | TED-CDB: A Large-Scale Chinese Discourse Relation Dataset on TED Talks. | Wanqiu Long, Bonnie Webber, Deyi Xiong |
| 2020 | EMNLP | RiSAWOZ: A Large-Scale Multi-Domain Wizard-of-Oz Dataset with Rich Semantic Annotations for Task-Oriented Dialogue Modeling. | Jun Quan, Shian Zhang, Qian Cao, Zizhong Li, Deyi Xiong |
| 2020 | IJCAI | Exploring Bilingual Parallel Corpora for Syntactically Controllable Paraphrase Generation. | Mingtong Liu, Erguang Yang, Deyi Xiong, Yujie Zhang, Chen Sheng, Changjian Hu, Jinan Xu, Yufeng Chen |
| 2020 | IJCAI | Efficient Context-Aware Neural Machine Translation with Layer-Wise Weighting and Input-Aware Gating. | Hongfei Xu, Deyi Xiong, Josef van Genabith, Qiuhui Liu |
| 2020 | LREC | Shallow Discourse Annotation for Chinese TED Talks. | Wanqiu Long, Xinyi Cai, James E. M. Reid, Bonnie Webber, Deyi Xiong |
| 2019 | EMNLP | BiPaR: A Bilingual Parallel Dataset for Multilingual and Cross-lingual Reading Comprehension on Novels. | Yimin Jing, Deyi Xiong, Yan Zhen |
| 2019 | EMNLP | Generating Highly Relevant Questions. | Jiazuo Qiu, Deyi Xiong |
| 2019 | EMNLP | GECOR: An End-to-End Generative Ellipsis and Co-reference Resolution Model for Task-Oriented Dialogue. | Jun Quan, Deyi Xiong, Bonnie Webber, Changjian Hu |
| 2019 | EMNLP | Hierarchical Modeling of Global Context for Document-Level Neural Machine Translation. | Xin Tan, Longyin Zhang, Deyi Xiong, Guodong Zhou |
| 2019 | EMNLP | Towards Linear Time Neural Machine Translation with Capsule Networks. | Mingxuan Wang, Jun Xie, Zhixing Tan, Jinsong Su, Deyi Xiong, Lei Li |
| 2019 | EPIA | The Direct Path May Not Be The Best: Portuguese-Chinese Neural Machine Translation. | Rodrigo Santos, Joo Silva, Antnio Branco, Deyi Xiong |
| 2018 | AAAI | Variational Recurrent Neural Machine Translation. | Jinsong Su, Shan Wu, Deyi Xiong, Yaojie Lu, Xianpei Han, Biao Zhang |
| 2018 | ACL | Attention Focusing for Neural Machine Translation by Bridging Source and Target Embeddings. | Shaohui Kuang, Junhui Li, Antnio Branco, Weihua Luo, Deyi Xiong |
| 2018 | ACL | Accelerating Neural Transformer via an Average Attention Network. | Biao Zhang, Deyi Xiong, Jinsong Su |
| 2018 | COLING | Fusing Recency into Neural Machine Translation with an Inter-Sentence Gate Model. | Shaohui Kuang, Deyi Xiong |
| 2018 | COLING | Modeling Coherence for Neural Machine Translation with Dynamic and Topic Caches. | Shaohui Kuang, Deyi Xiong, Weihua Luo, Guodong Zhou |
| 2018 | COLING | Neural Machine Translation with Decoding History Enhanced Attention. | Mingxuan Wang, Jun Xie, Zhixing Tan, Jinsong Su, Deyi Xiong, Chao Bian |
| 2018 | COLING | Sentence Weighting for Neural Machine Translation Domain Adaptation. | Shiqi Zhang, Deyi Xiong |
| 2018 | EMNLP | Encoding Gated Translation Memory into Neural Machine Translation. | Qian Cao, Deyi Xiong |
| 2018 | EMNLP | Simplifying Neural Machine Translation with Addition-Subtraction Twin-Gated Recurrent Networks. | Biao Zhang, Deyi Xiong, Jinsong Su, Qian Lin, Huiji Zhang |
| 2018 | PRICAI | Context-Aware Phrase Representation for Statistical Machine Translation. | Zhiwei Ruan, Jinsong Su, Deyi Xiong, Rongrong Ji |
| 2017 | AAAI | Lattice-Based Recurrent Neural Network Encoders for Neural Machine Translation. | Jinsong Su, Zhixing Tan, Deyi Xiong, Rongrong Ji, Xiaodong Shi, Yang Liu |
| 2017 | AAAI | Neural Machine Translation Advised by Statistical Machine Translation. | Xing Wang, Zhengdong Lu, Zhaopeng Tu, Hang Li, Deyi Xiong, Min Zhang |
| 2017 | AAAI | BattRAE: Bidimensional Attention-Based Recursive Autoencoders for Learning Bilingual Phrase Embeddings. | Biao Zhang, Deyi Xiong, Jinsong Su |
| 2017 | ACL | Modeling Source Syntax for Neural Machine Translation. | Junhui Li, Deyi Xiong, Zhaopeng Tu, Muhua Zhu, Min Zhang, Guodong Zhou |
| 2017 | EMNLP | Translating Phrases in Neural Machine Translation. | Xing Wang, Zhaopeng Tu, Deyi Xiong, Min Zhang |
| 2016 | COLING | Learning Event Expressions via Bilingual Structure Projection. | Fangyuan Li, Ruihong Huang, Deyi Xiong, Min Zhang |
| 2016 | COLING | Convolution-Enhanced Bilingual Recursive Neural Network for Bilingual Semantic Modeling. | Jinsong Su, Biao Zhang, Deyi Xiong, Ruochen Li, Jianmin Yin |
| 2016 | COLING | Improving Translation Selection with Supersenses. | Haiqing Tang, Deyi Xiong, Oier Lopez de Lacalle, Eneko Agirre |
| 2016 | COLING | Improving Statistical Machine Translation with Selectional Preferences. | Haiqing Tang, Deyi Xiong, Min Zhang, Zhengxian Gong |
| 2016 | COLING | Bilingual Autoencoders with Global Descriptors for Modeling Parallel Sentences. | Biao Zhang, Deyi Xiong, Jinsong Su, Hong Duan, Min Zhang |
| 2016 | EMNLP | Variational Neural Machine Translation. | Biao Zhang, Deyi Xiong, Jinsong Su, Hong Duan, Min Zhang |
| 2016 | EMNLP | Variational Neural Discourse Relation Recognizer. | Biao Zhang, Deyi Xiong, Jinsong Su, Qun Liu, Rongrong Ji, Hong Duan, Min Zhang |
| 2015 | ACL | A Context-Aware Topic Model for Statistical Machine Translation. | Jinsong Su, Deyi Xiong, Yang Liu, Xianpei Han, Hongyu Lin, Junfeng Yao, Min Zhang |
| 2015 | EMNLP | Graph-Based Collective Lexical Selection for Statistical Machine Translation. | Jinsong Su, Deyi Xiong, Shujian Huang, Xianpei Han, Junfeng Yao |
| 2015 | EMNLP | Bilingual Correspondence Recursive Autoencoder for Statistical Machine Translation. | Jinsong Su, Deyi Xiong, Biao Zhang, Yang Liu, Junfeng Yao, Min Zhang |
| 2015 | EMNLP | Learning Semantic Representations for Nonterminals in Hierarchical Phrase-Based Translation. | Xing Wang, Deyi Xiong, Min Zhang |
| 2015 | EMNLP | Shallow Convolutional Neural Network for Implicit Discourse Relation Recognition. | Biao Zhang, Jinsong Su, Deyi Xiong, Yaojie Lu, Hong Duan, Junfeng Yao |
| 2015 | IJCAI | Discriminative Reordering Model Adaptation via Structural Learning. | Biao Zhang, Jinsong Su, Deyi Xiong, Hong Duan, Junfeng Yao |
| 2014 | ACL | A Sense-Based Translation Model for Statistical Machine Translation. | Deyi Xiong, Min Zhang |
| 2014 | ACL | Semantics, Discourse and Statistical Machine Translation. | Deyi Xiong, Min Zhang |
| 2014 | EMNLP | Modeling Term Translation for Document-informed Machine Translation. | Fandong Meng, Deyi Xiong, Wenbin Jiang, Qun Liu |
| 2013 | AAAI | A Topic-Based Coherence Model for Statistical Machine Translation. | Deyi Xiong, Min Zhang |
| 2013 | ACL | Bilingual Lexical Cohesion Trigger Model for Document-Level Machine Translation. | Guosheng Ben, Deyi Xiong, Zhiyang Teng, Yajuan L, Qun Liu |
| 2013 | EMNLP | Max-Margin Synchronous Grammar Induction for Machine Translation. | Xinyan Xiao, Deyi Xiong |
| 2013 | EMNLP | Lexical Chain Based Cohesion Models for Document-Level Statistical Machine Translation. | Deyi Xiong, Yang Ding, Min Zhang, Chew Lim Tan |
| 2013 | IJCAI | Modeling Lexical Cohesion for Document-Level Machine Translation. | Deyi Xiong, Guosheng Ben, Min Zhang, Yajuan Lv, Qun Liu |
| 2012 | ACL | A Topic Similarity Model for Hierarchical Phrase-based Translation. | Xinyan Xiao, Deyi Xiong, Min Zhang, Qun Liu, Shouxun Lin |
| 2012 | ACL | Modeling the Translation of Predicate-Argument Structure for SMT. | Deyi Xiong, Min Zhang, Haizhou Li |
| 2012 | COLING | Unsupervised Discriminative Induction of Synchronous Grammar for Machine Translation. | Xinyan Xiao, Deyi Xiong, Yang Liu, Qun Liu, Shouxun Lin |
| 2011 | ACL | Enhancing Language Models in Statistical Machine Translation with Backward N-grams and Mutual Information Triggers. | Deyi Xiong, Min Zhang, Haizhou Li |
| 2010 | ACL | Error Detection for Statistical Machine Translation Using Linguistic Features. | Deyi Xiong, Min Zhang, Haizhou Li |
| 2010 | NAACL | Learning Translation Boundaries for Phrase-Based Decoding. | Deyi Xiong, Min Zhang, Haizhou Li |
| 2009 | ACL | A Syntax-Driven Bracketing Model for Phrase-Based Translation. | Deyi Xiong, Min Zhang, AiTi Aw, Haizhou Li |
| 2008 | ACL | A Linguistically Annotated Reordering Model for BTG-based Statistical Machine Translation. | Deyi Xiong, Min Zhang, AiTi Aw, Haizhou Li |
| 2008 | COLING | Linguistically Annotated BTG for Statistical Machine Translation. | Deyi Xiong, Min Zhang, AiTi Aw, Haizhou Li |
| 2008 | IJCNLP | Refinements in BTG-based Statistical Machine Translation. | Deyi Xiong, Min Zhang, AiTi Aw, Haitao Mi, Qun Liu, Shouxun Lin |
| 2006 | ACL | Maximum Entropy Based Phrase Reordering Model for Statistical Machine Translation. | Deyi Xiong, Qun Liu, Shouxun Lin |
| 2006 | SMC | A Local Density Based Spatial Clustering Algorithm with Noise. | Lian Duan, Deyi Xiong, Jun Lee, Feng Guo |
| 2005 | CICLING | Lexicalized Beam Thresholding Parsing with Prior and Boundary Estimates. | Deyi Xiong, Qun Liu, Shouxun Lin |
| 2005 | IJCNLP | Parsing the Penn Chinese Treebank with Semantic Knowledge. | Deyi Xiong, Shuanglong Li, Qun Liu, Shouxun Lin, Yueliang Qian |
| 2004 | IJCNLP | Tagging Complex NEs with MaxEnt Models: Layered Structures Versus Extended Tagset. | Deyi Xiong, Hongkui Yu, Qun Liu |