| 2026 | AAAI | Large Language Models Struggle with Unreasonability in Math Problems. | Jingyuan Ma, Damai Dai, Zihang Yuan, Rui Li, Weilin Luo, Bin Wang, Qun Liu, Lei Sha, Zhifang Sui |
| 2026 | ACL | HAUNTATTACK: When Attack Follows Reasoning as a Shadow. | Jingyuan Ma, Rui Li, Zheng Li, Junfeng Liu, Heming Xia, Lei Sha, Zhifang Sui |
| 2026 | ACL | SafetyMem: Adaptive Jailbreak Defense via Dual-Component Safety Memory. | Hao Wang, Ziyi Ni, Huacan Wang, Pin Lyu, Lei Sha |
| 2026 | ACL | Be Your Own Red Teamer: Safety Alignment via Self-Play and Reflective Experience Replay. | Hao Wang, Yanting Wang, Hao Li, Rui Li, Lei Sha |
| 2026 | SIGIR | Rethinking Semantic-Collaborative Integration: Why Alignment Is Not Enough. | Maolin Wang, Dongze Wu, Jianing Zhou, Hongyu Chen, Beining Bao, Yu Jiang, Chenbin Zhang, Chang Wang, Jian Liu, Lei Sha |
| 2025 | ACL | How Far are LLMs from Being Our Digital Twins? A Benchmark for Persona-Based Behavior Chain Simulation. | Rui Li, Heming Xia, Xinfeng Yuan, Qingxiu Dong, Lei Sha, Wenjie Li, Zhifang Sui |
| 2025 | ACL | Towards Harmonized Uncertainty Estimation for Large Language Models. | Rui Li, Jing Long, Muge Qi, Heming Xia, Lei Sha, Peiyi Wang, Zhifang Sui |
| 2025 | ACL | LLMs know their vulnerabilities: Uncover Safety Gaps through Natural Distribution Shifts. | Qibing Ren, Hao Li, Dongrui Liu, Zhanxu Xie, Xiaoya Lu, Yu Qiao, Lei Sha, Junchi Yan, Lizhuang Ma, Jing Shao |
| 2025 | EMNLP | Layer-Aware Representation Filtering: Purifying Finetuning Data to Preserve LLM Safety Alignment. | Hao Li, Lijun Li, Zhenghao Lu, Xianyi Wei, Rui Li, Jing Shao, Lei Sha |
| 2025 | EMNLP | DiffusionAttacker: Diffusion-Driven Prompt Manipulation for LLM Jailbreak. | Hao Wang, Hao Li, Junda Zhu, Xinyuan Wang, Chengwei Pan, Minlie Huang, Lei Sha |
| 2025 | EMNLP | Reasoning-to-Defend: Safety-Aware Reasoning Can Defend Large Language Models from Jailbreaking. | Junda Zhu, Lingyong Yan, Shuaiqiang Wang, Dawei Yin, Lei Sha |
| 2025 | ICLR | Omni-MATH: A Universal Olympiad Level Mathematic Benchmark for Large Language Models. | Bofei Gao, Feifan Song, Zhe Yang, Zefan Cai, Yibo Miao, Qingxiu Dong, Lei Li, Chenghao Ma, Liang Chen, Runxin Xu, Zhengyang Tang, Benyou Wang, Daoguang Zan, Shanghaoran Quan, Ge Zhang, Lei Sha, Yichang Zhang, Xuancheng Ren, Tianyu Liu, Baobao Chang |
| 2025 | WWW | HSF: Defending against Jailbreak Attacks with Hidden State Filtering. | Cheng Qian, Hainan Zhang, Lei Sha, Zhiming Zheng |
| 2024 | EMNLP | Be a Multitude to Itself: A Prompt Evolution Framework for Red Teaming. | Rui Li, Peiyi Wang, Jingyuan Ma, Di Zhang, Lei Sha, Zhifang Sui |
| 2024 | EMNLP | ASETF: A Novel Method for Jailbreak Attack on LLMs through Translate Suffix Embeddings. | Hao Wang, Hao Li, Minlie Huang, Lei Sha |
| 2024 | EMNLP | ShieldLM: Empowering LLMs as Aligned, Customizable and Explainable Safety Detectors. | Zhexin Zhang, Yida Lu, Jingyuan Ma, Di Zhang, Rui Li, Pei Ke, Hao Sun, Lei Sha, Zhifang Sui, Hongning Wang, Minlie Huang |
| 2024 | EMNLP | ATM: Adversarial Tuning Multi-agent System Makes a Robust Retrieval-Augmented Generator. | Junda Zhu, Lingyong Yan, Haibo Shi, Dawei Yin, Lei Sha |
| 2024 | ICLR | A Stable, Fast, and Fully Automatic Learning Algorithm for Predictive Coding Networks. | Tommaso Salvatori, Yuhang Song, Yordan Yordanov, Beren Millidge, Lei Sha, Cornelius Emde, Zhenghua Xu, Rafal Bogacz, Thomas Lukasiewicz |
| 2024 | TrustCom | A Cross-Site Scripting Attack Protection Framework Based on Managed Proxy. | Cheng Tang, Qingfeng Wang, Guozhen Cheng, Hao Liang, Jianhua Peng, Meiyue Yang, Wenyan Liu, Ming Liu, Lei Sha |
| 2022 | IJCNLP | RecInDial: A Unified Framework for Conversational Recommendation with Pretrained Language Models. | Lingzhi Wang, Huang Hu, Lei Sha, Can Xu, Daxin Jiang, Kam-Fai Wong |
| 2022 | Interspeech | Small Changes Make Big Differences: Improving Multi-turn Response Selection in Dialogue Systems via Fine-Grained Contrastive Learning. | Yuntao Li, Can Xu, Huang Hu, Lei Sha, Yan Zhang, Daxin Jiang |
| 2021 | AAAI | Learning from the Best: Rationalizing Predictions by Adversarial Information Calibration. | Lei Sha, Oana-Maria Camburu, Thomas Lukasiewicz |
| 2021 | AAAI | Multi-type Disentanglement without Adversarial Training. | Lei Sha, Thomas Lukasiewicz |
| 2021 | ACL | Controlling Text Edition by Changing Answers of Specific Questions. | Lei Sha, Patrick Hohenecker, Thomas Lukasiewicz |
| 2020 | EMNLP | Gradient-guided Unsupervised Lexically Constrained Text Generation. | Lei Sha |
| 2020 | IJCNN | Estimating Minimum Operation Steps via Memory-based Recurrent Calculation Network. | Lei Sha, Chen Shi, Qi Chen, Lintao Zhang, Houfeng Wang |
| 2018 | AAAI | Table-to-Text Generation by Structure-Aware Seq2seq Learning. | Tianyu Liu, Kexiang Wang, Lei Sha, Baobao Chang, Zhifang Sui |
| 2018 | AAAI | Order-Planning Neural Text Generation From Structured Data. | Lei Sha, Lili Mou, Tianyu Liu, Pascal Poupart, Sujian Li, Baobao Chang, Zhifang Sui |
| 2018 | AAAI | Jointly Extracting Event Triggers and Arguments by Dependency-Bridge RNN and Tensor-Based Argument Interaction. | Lei Sha, Feng Qian, Baobao Chang, Zhifang Sui |
| 2018 | AAAI | A Multi-View Fusion Neural Network for Answer Selection. | Lei Sha, Xiaodong Zhang, Feng Qian, Baobao Chang, Zhifang Sui |
| 2018 | EMNLP | Auto-Dialabel: Labeling Dialogue Data with Unsupervised Learning. | Chen Shi, Qi Chen, Lei Sha, Sujian Li, Xu Sun, Houfeng Wang, Lintao Zhang |
| 2017 | AAAI | Attentive Interactive Neural Networks for Answer Selection in Community Question Answering. | Xiaodong Zhang, Sujian Li, Lei Sha, Houfeng Wang |
| 2017 | ACL | A Progressive Learning Approach to Chinese SRL Using Heterogeneous Data. | Qiaolin Xia, Lei Sha, Baobao Chang, Zhifang Sui |
| 2017 | EMNLP | Syntax Aware LSTM model for Semantic Role Labeling. | Feng Qian, Lei Sha, Baobao Chang, Luchen Liu, Ming Zhang |
| 2016 | ACL | RBPB: Regularization-Based Pattern Balancing Method for Event Extraction. | Lei Sha, Jing Liu, Chin-Yew Lin, Sujian Li, Baobao Chang, Zhifang Sui |
| 2016 | COLING | Towards Time-Aware Knowledge Graph Completion. | Tingsong Jiang, Tianyu Liu, Tao Ge, Lei Sha, Baobao Chang, Sujian Li, Zhifang Sui |
| 2016 | COLING | Reading and Thinking: Re-read LSTM Unit for Textual Entailment Recognition. | Lei Sha, Baobao Chang, Zhifang Sui, Sujian Li |
| 2016 | EMNLP | Encoding Temporal Information for Time-Aware Link Prediction. | Tingsong Jiang, Tianyu Liu, Tao Ge, Lei Sha, Sujian Li, Baobao Chang, Zhifang Sui |
| 2016 | EMNLP | Capturing Argument Relationship for Chinese Semantic Role Labeling. | Lei Sha, Sujian Li, Baobao Chang, Zhifang Sui, Tingsong Jiang |
| 2016 | NAACL | Joint Learning Templates and Slots for Event Schema Induction. | Lei Sha, Sujian Li, Baobao Chang, Zhifang Sui |
| 2015 | EMNLP | Multi-label Text Categorization with Joint Learning Predictions-as-Features Method. | Li Li, Houfeng Wang, Xu Sun, Baobao Chang, Shi Zhao, Lei Sha |
| 2015 | EMNLP | Recognizing Textual Entailment Using Probabilistic Inference. | Lei Sha, Sujian Li, Baobao Chang, Zhifang Sui, Tingsong Jiang |