CNN-Based Chinese NER with Lexicon Rethinking. - Tao Gui; Ruotian Ma; Qi Zhang 001; Lujun Zhao; Yu-Gang Jiang 001; Xuanjing Huang 001 (IJCAI, 2019)

Simplify the Usage of Lexicon in Chinese NER. - Minlong Peng; Ruotian Ma; Qi Zhang 001; Xuanjing Huang 001 (CoRR, 2019)

Simplify the Usage of Lexicon in Chinese NER. - Ruotian Ma; Minlong Peng; Qi Zhang 001; Zhongyu Wei; Xuanjing Huang 001 (ACL, 2020)

BERT-ATTACK: Adversarial Attack Against BERT Using BERT. - Linyang Li; Ruotian Ma; Qipeng Guo; Xiangyang Xue 001; Xipeng Qiu (EMNLP (1), 2020)

Toward Recognizing More Entity Types in NER: An Efficient Implementation using Only Entity Lexicons. - Minlong Peng; Ruotian Ma; Qi Zhang 001; Lujun Zhao; Mengxi Wei; Changlong Sun; Xuanjing Huang 001 (EMNLP (Findings), 2020)

SENT: Sentence-level Distant Relation Extraction via Negative Training. - Ruotian Ma; Tao Gui; Linyang Li; Qi Zhang 001; Xuanjing Huang 001; Yaqian Zhou 001 (ACL/IJCNLP (1), 2021)

TextFlint: Unified Multilingual Robustness Evaluation Toolkit for Natural Language Processing. - Xiao Wang 001; Qin Liu 010; Tao Gui; Qi Zhang 001; Yicheng Zou; Xin Zhou 012; Jiacheng Ye; Yongxin Zhang; Rui Zheng; Zexiong Pang; Qinzhuo Wu; Zhengyan Li; et al. (ACL (demo), 2021)

Backdoor Attacks on Pre-trained Models by Layerwise Weight Poisoning. - Linyang Li; Demin Song; Xiaonan Li; Jiehang Zeng; Ruotian Ma; Xipeng Qiu (EMNLP (1), 2021)

Template-free Prompt Tuning for Few-shot NER. - Ruotian Ma; Xin Zhou 012; Tao Gui; Yiding Tan; Qi Zhang 001; Xuanjing Huang 001 (CoRR, 2021)

KNN-BERT: Fine-Tuning Pre-Trained Models with KNN Classifier. - Linyang Li; Demin Song; Ruotian Ma; Xipeng Qiu; Xuanjing Huang 001 (CoRR, 2021)

Plug-Tagger: A Pluggable Sequence Labeling Framework Using Language Models. - Xin Zhou 012; Ruotian Ma; Tao Gui; Yiding Tan; Qi Zhang 001; Xuanjing Huang 001 (CoRR, 2021)

Making Parameter-efficient Tuning More Efficient: A Unified Framework for Classification Tasks. - Xin Zhou 012; Ruotian Ma; Yicheng Zou; Xuanting Chen; Tao Gui; Qi Zhang 001; Xuanjing Huang 001; Rui Xie 005; Wei Wu 014 (COLING, 2022)

Cross-Linguistic Syntactic Difference in Multilingual BERT: How Good is It and How Does It Affect Transfer? - Ningyu Xu; Tao Gui; Ruotian Ma; Qi Zhang 001; Jingting Ye; Menghan Zhang; Xuanjing Huang 001 (EMNLP, 2022)

TextFusion: Privacy-Preserving Pre-trained Model Inference via Token Fusion. - Xin Zhou 012; Jinzhu Lu; Tao Gui; Ruotian Ma; Zichu Fei; Yuran Wang; Yong Ding; Yibo Cheung; Qi Zhang 001; Xuanjing Huang 001 (EMNLP, 2022)

Searching for Optimal Subword Tokenization in Cross-domain NER. - Ruotian Ma; Yiding Tan; Xin Zhou 012; Xuanting Chen; Di Liang; Sirui Wang; Wei Wu 014; Tao Gui (IJCAI, 2022)

Template-free Prompt Tuning for Few-shot NER. - Ruotian Ma; Xin Zhou 012; Tao Gui; Yiding Tan; Linyang Li; Qi Zhang 001; Xuanjing Huang 001 (NAACL-HLT, 2022)

Rebuild and Ensemble: Exploring Defense Against Text Adversaries. - Linyang Li; Demin Song; Jiehang Zeng; Ruotian Ma; Xipeng Qiu (CoRR, 2022)

Searching for Optimal Subword Tokenization in Cross-domain NER. - Ruotian Ma; Yiding Tan; Xin Zhou 012; Xuanting Chen; Di Liang; Sirui Wang; Wei Wu 014; Tao Gui; Qi Zhang 001 (CoRR, 2022)

Learning "O" Helps for Learning More: Handling the Concealed Entity Problem for Class-incremental NER. - Ruotian Ma; Xuanting Chen; Lin Zhang; Tao Gui; Qi Zhang 001; Xuanjing Huang 001 (CoRR, 2022)

Learning "O" Helps for Learning More: Handling the Unlabeled Entity Problem for Class-incremental NER. - Ruotian Ma; Xuanting Chen; Zhang Lin; Xin Zhou 012; Junzhe Wang; Tao Gui; Qi Zhang 001; Xiang Gao 017; Yun Wen Chen (ACL (1), 2023)

Coarse-to-fine Few-shot Learning for Named Entity Recognition. - Ruotian Ma; Zhang Lin; Xuanting Chen; Xin Zhou 012; Junzhe Wang; Tao Gui; Qi Zhang 001; Xiang Gao 017; Yun Wen Chen (ACL (Findings), 2023)

TextObfuscator: Making Pre-trained Language Model a Privacy Protector via Obfuscating Word Representations. - Xin Zhou 012; Yi Lu; Ruotian Ma; Tao Gui; Yuran Wang; Yong Ding; Yibo Zhang; Qi Zhang 001; Xuanjing Huang 001 (ACL (Findings), 2023)

Towards Building More Robust NER datasets: An Empirical Study on NER Dataset Bias from a Dataset Difficulty View. - Ruotian Ma; Xiaolei Wang; Xin Zhou 012; Qi Zhang 001; Xuanjing Huang 001 (EMNLP, 2023)

TextMixer: Mixing Multiple Inputs for Privacy-Preserving Inference. - Xin Zhou 012; Yi Lu; Ruotian Ma; Tao Gui; Qi Zhang 001; Xuanjing Huang 001 (EMNLP (Findings), 2023)

Making Harmful Behaviors Unlearnable for Large Language Models. - Xin Zhou 012; Yi Lu; Ruotian Ma; Tao Gui; Qi Zhang 001; Xuanjing Huang 001 (CoRR, 2023)

Making Harmful Behaviors Unlearnable for Large Language Models. - Xin Zhou 012; Yi Lu; Ruotian Ma; Yujian Wei; Tao Gui; Qi Zhang 001; Xuanjing Huang 001 (ACL (Findings), 2024)

Unveiling and Consulting Core Experts in Retrieval-Augmented MoE-based LLMs. - Xin Zhou 012; Ping Nie; Yiwen Guo; Haojie Wei; Zhanqiu Zhang; Pasquale Minervini; Ruotian Ma; Tao Gui; Qi Zhang 001; Xuanjing Huang 001 (EMNLP, 2024)

Are Large Language Models Good Prompt Optimizers? - Ruotian Ma; Xiaolei Wang; Xin Zhou 012; Jian Li; Nan Du; Tao Gui; Qi Zhang 001; Xuanjing Huang 001 (CoRR, 2024)

S²R: Teaching LLMs to Self-verify and Self-correct via Reinforcement Learning. - Ruotian Ma; Peisong Wang; Cheng Liu; Xingyan Liu; Jiaqi Chen; Bang Zhang; Xin Zhou; Nan Du; Jia Li (ACL (1), 2025)

Self-Consistency of the Internal Reward Models Improves Self-Rewarding Language Models. - Xin Zhou 012; Yiwen Guo; Ruotian Ma; Tao Gui; Qi Zhang 001; Xuanjing Huang 001 (CoRR, 2025)

S2R: Teaching LLMs to Self-verify and Self-correct via Reinforcement Learning. - Ruotian Ma; Peisong Wang; Cheng Liu; Xingyan Liu; Jiaqi Chen; Bang Zhang; Xin Zhou; Nan Du; Jia Li (CoRR, 2025)

SPC: Evolving Self-Play Critic via Adversarial Games for LLM Reasoning. - Jiaqi Chen; Bang Zhang; Ruotian Ma; Peisong Wang; Xiaodan Liang; Zhaopeng Tu; Xiaolong Li; Kwan-Yee K. Wong (CoRR, 2025)

Sentient Agent as a Judge: Evaluating Higher-Order Social Cognition in Large Language Models. - Bang Zhang; Ruotian Ma; Qingxuan Jiang; Peisong Wang; Jiaqi Chen; Zheng Xie; Xingyu Chen; Yue Wang; Fanghua Ye 004; Jian Li; Yifan Yang; Zhaopeng Tu; et al. (CoRR, 2025)

Two Experts Are All You Need for Steering Thinking: Reinforcing Cognitive Effort in MoE Reasoning Models Without Additional Training. - Mengru Wang; Xingyu Chen; Yue Wang; Zhiwei He 002; Jiahao Xu; Tian Liang; Qiuzhi Liu; Yunzhi Yao; Wenxuan Wang 001; Ruotian Ma; Haitao Mi; Ningyu Zhang 001; et al. (CoRR, 2025)

RLVER: Reinforcement Learning with Verifiable Emotion Rewards for Empathetic Agents. - Peisong Wang; Ruotian Ma; Bang Zhang; Xingyu Chen; Zhiwei He 002; Kang Luo; Qingsong Lv; Qingxuan Jiang; Zheng Xie; Shanyi Wang; Yuan Li; Fanghua Ye 004; et al. (CoRR, 2025)