| 2025 | ACL | Jailbreaking? One Step Is Enough! | Weixiong Zheng, Peijian Zeng, Yiwei Li, Hongyan Wu, Nankai Lin, Junhao Chen, Aimin Yang, Yongmei Zhou |
| 2025 | CogSci | JUDICIOUS: Evaluating Robustness of Large Language Models in the Legal Realm. | Ziling Dai, Nankai Lin |
| 2025 | COLING | Rethinking Vocabulary Augmentation: Addressing the Challenges of Low-Resource Languages in Multilingual Models. | Nankai Lin, Peijian Zeng, Weixiong Zheng, Shengyi Jiang, Dong Zhou, Aimin Yang |
| 2025 | COLING | Pseudo-label Data Construction Method and Syntax-enhanced Model for Chinese Semantic Error Recognition. | Hongyan Wu, Nankai Lin, Shengyi Jiang, Lianxi Wang, Aimin Yang |
| 2025 | CSCWD | WATER: A Two-Stage in-Context Learning Debiasing Framework for Multilingual Text Classification. | Wentao Huang, Zeyong Long, Dong Zhou, Zhijin Chen, Yongmei Zhou, Nankai Lin, Aimin Yang |
| 2025 | CSCWD | Unraveling the Efficacy of In-Context Learning in Indonesian Grammatical Error Correction. | Shengyi Jiang, Yuting Su, Xuming Li, Nankai Lin, Lixian Xiao, Lianxi Wang |
| 2025 | CSCWD | FairTriplet: Balancing Fairness and Accuracy in Contextual Pre-Trained Models Through Prefix Tuning. | Zeyong Long, Weixiong Zheng, Dong Zhou, Yongmei Zhou, Nankai Lin, Aimin Yang |
| 2025 | CSCWD | Enhancing Cross-Lingual Aspect-Based Sentiment Analysis with Code-Mixed In-Context Demonstrations and Language-Specific Tags. | Meiyu Zeng, Xingming Liao, Yongmei Zhou, Wentao Huang, Nankai Lin, Aimin Yang |
| 2025 | IJCAI | Conditional Independent Test in the Presence of Measurement Error with Causal Structure Learning. | Hongbin Zhang, Kezhou Chen, Nankai Lin, Aimin Yang, Zhifeng Hao, Zhengming Chen |
| 2024 | ACML | MLCL: A Framework for Reducing Language Imbalance in Sino-Tibetan Languages through Adapter Structures. | Jiajun Fang, Wentao Huang, Aimin Yang, Dong Zhou, Nankai Lin |
| 2024 | ACML | A Retrieval-Augmented Contrastive Framework for Legal Case Retrieval Based on Event Information. | Changyong Fan, Nankai Lin, Dong Zhou, Yongmei Zhou, Aimin Yang |
| 2024 | ACML | Enhancing Aspect Sentiment Quad Prediction through Dual-Sequence Data Augmentation and Contrastive Learning. | Shihao Li, Nankai Lin, Pinmo Wu, Dong Zhou, Aimin Yang |
| 2024 | ACML | HiRAG: A Historical Information-Driven Retrieval-Augmented Generation Framework for Background Summarization. | Dong Zhou, Binli Zeng, Nankai Lin, Yongmei Zhou, Aimin Yang |
| 2024 | APWEB | Enhancing Few-Shot Multi-modal Fake News Detection Through Adaptive Fusion. | Qiang Ouyang, Nankai Lin, Yongmei Zhou, Aimin Yang, Dong Zhou |
| 2024 | CSCWD | GPF: Generative Prediction Fusion for Multi-Label Emotion Classification. | Shiqiao Huang, Weiwen Zhang, Nankai Lin, Mianshen Xu |
| 2024 | CSCWD | Composited-Nested-Learning with Data Augmentation for Nested Named Entity Recognition. | Xingming Liao, Nankai Lin, Haowen Li, Lianglun Cheng, Zhuowei Wang, Chong Chen |
| 2024 | CSCWD | A Vision Enhanced Framework for Indonesian Multimodal Abstractive Text-Image Summarization. | Yutao Song, Nankai Lin, Lingbao Li, Shengyi Jiang |
| 2024 | EMNLP | IndoCL: Benchmarking Indonesian Language Development Assessment. | Nankai Lin, Hongyan Wu, Weixiong Zheng, Xingming Liao, Shengyi Jiang, Aimin Yang, Lixian Xiao |
| 2024 | GECCO | Generating Synthetic Tabular Data by Using Image Generative Adversarial Networks. | Bi Li, Boyu Chen, Nankai Lin, Xueming Yan, Yue Xie, Zhifeng Hao |
| 2024 | ICWS | ADSE: Adversarial Debiasing Framework Based on Sinusoidal Embedding for Sequential Recommendation. | Qifeng Bai, Nankai Lin, Junheng He, Zhijin Chen, Dong Zhou, Aimin Yang |
| 2023 | ACL | An Effective Deployment of Contrastive Learning in Multi-label Text Classification. | Nankai Lin, Guanqiu Qin, Gang Wang, Dong Zhou, Aimin Yang |
| 2022 | ICONIP | Deps-SAN: Neural Machine Translation with Dependency-Scaled Self-Attention Network. | Ru Peng, Nankai Lin, Yi Fang, Shengyi Jiang, Tianyong Hao, Boyu Chen, Junbo Zhao |
| 2022 | LREC | LaoPLM: Pre-trained Language Models for Lao. | Nankai Lin, Yingwen Fu, Chuwei Chen, Ziyu Yang, Shengyi Jiang |
| 2021 | ICDAR | Research on Pseudo-label Technology for Multi-label News Classification. | Lianxi Wang, Xiaotian Lin, Nankai Lin |
| 2021 | ICONIP | Pre-trained Models and Evaluation Data for the Myanmar Language. | Shengyi Jiang, Xiuwen Huang, Xiaonan Cai, Nankai Lin |