Back to Reality: Leveraging Pattern-driven Modeling to Enable Affordable Sentiment Dependency Learning. - Heng Yang 008; Biqing Zeng; Mayi Xu; Tianxing Wang (CoRR, 2021)

RoRePo: Detecting the role information and relative position information for contexts in multi-turn dialogue generation. - Zibang Gan; Biqing Zeng; Lianglun Cheng; Shuai Liu; Heng Yang 008; Mayi Xu; Meirong Ding (J. Intell. Fuzzy Syst., 2021)

Combining dynamic local context focus and dependency cluster attention for aspect-level sentiment classification. - Mayi Xu; Biqing Zeng; Heng Yang 008; Junlong Chi; Jiatao Chen; Hongye Liu (Neurocomputing, 2022)

Learning for target-dependent sentiment based on local context-aware embedding. - Biqing Zeng; Heng Yang 008; Shuai Liu; Mayi Xu (J. Supercomput., 2022)

Cold-Start Multi-hop Reasoning by Hierarchical Guidance and Self-verification. - Mayi Xu; Ke Sun 010; Yongqi Li 002; Tieyun Qian (ECML/PKDD (2), 2023)

Large Language Models as Counterfactual Generator: Strengths and Weaknesses. - Yongqi Li 002; Mayi Xu; Xin Miao; Shen Zhou; Tieyun Qian (CoRR, 2023)

RFM: response-aware feedback mechanism for background based conversation. - Jiatao Chen; Biqing Zeng; Zhibin Du; Huimin Deng; Mayi Xu; Zibang Gan; Meirong Ding (Appl. Intell., 2023)

Improving Span-Based Aspect Sentiment Triplet Extraction with Abundant Syntax Knowledge. - Lingcong Feng; Biqing Zeng; Lewei He; Mayi Xu; Huimin Deng; Pengfei Chen; Zipeng Huang; Weihua Du (Neural Process. Lett., 2023)

Prompting Large Language Models for Counterfactual Generation: An Empirical Study. - Yongqi Li 002; Mayi Xu; Xin Miao; Shen Zhou; Tieyun Qian (LREC/COLING, 2024)

Adaption-of-Thought: Learning Question Difficulty Improves Large Language Models for Reasoning. - Mayi Xu; Yongqi Li 002; Ke Sun 010; Tieyun Qian (EMNLP, 2024)

Strong Empowered and Aligned Weak Mastered Annotation for Weak-to-Strong Generalization. - Yongqi Li 002; Xin Miao; Mayi Xu; Tieyun Qian (AAAI, 2025)

Enhancing Relation Extraction via Supervised Rationale Verification and Feedback. - Yongqi Li 002; Xin Miao; Shen Zhou; Mayi Xu; Yuyang Ren; Tieyun Qian (AAAI, 2025)

Aligning VLM Assistants with Personalized Situated Cognition. - Yongqi Li 002; Shen Zhou; Xiaohu Li; Xin Miao; Jintao Wen; Mayi Xu; Jianhao Chen; Birong Pan; Hankun Kang; Yuanyuan Zhu 001; Ming Zhong 002; Tieyun Qian (ACL (1), 2025)

CAVGAN: Unifying Jailbreak and Defense of LLMs via Generative Adversarial Attacks on their Internal Representations. - Xiaohu Li; Yunfeng Ning; Zepeng Bao; Mayi Xu; Jianhao Chen; Tieyun Qian (ACL (Findings), 2025)