Mayi Xu

According to our database, Mayi Xu authored at least 27 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

How Robust are Large Language Models Against Word-Level Spurious Correlations? A Causal Discovery Approach.

Xin Miao, Yongqi Li, Hankun Kang, Mayi Xu, Jintao Wen, Yuyang Ren, Tieyun Qian

Mach. Learn., March, 2026

Beyond Static Snapshots: Dynamic Modeling and Forecasting of Group-Level Value Evolution with Large Language Models.

Qiankun Pi, Guixin Su, Jinliang Li, Mayi Xu, Xin Miao, Jiawei Jiang, Ming Zhong, Tieyun Qian

CoRR, February, 2026

Reasoning based on symbolic and parametric knowledge bases: A survey.

Mayi Xu, Yunfeng Ning, Yongqi Li, Jianhao Chen, Jintao Wen, Yao Xiao, Shen Zhou, Birong Pan, Zepeng Bao, Xin Miao, Hankun Kang, Ke Sun, Tieyun Qian

Inf. Process. Manag., 2026

Developing continuous toxicity detection against increasing types of perturbed toxic text.

Hankun Kang, Jianhao Chen, Yongqi Li, Xin Miao, Mayi Xu, Shen Zhou, Ming Zhong, Yuanyuan Zhu, Tieyun Qian

Inf. Process. Manag., 2026

ContiGuard: A Framework for Continual Toxicity Detection Against Evolving Evasive Perturbations.

Hankun Kang, Xin Miao, Jianhao Chen, Jintao Wen, Mayi Xu, Weiyu Zhang, Wenpeng Lu, Tieyun Qian

Proceedings of the ACM Web Conference 2026, 2026

Debiasing LLMs in Knowledge-Intensive Tasks via Information-Gain Guided Front-Door Adjustment.

Xin Miao, Yongqi Li, Hankun Kang, Mayi Xu, Jintao Wen, Yuanyuan Zhu, Ming Zhong, Jiawei Jiang, Tieyun Qian

Proceedings of the Database Systems for Advanced Applications, 2026

Privacy-protected Retrieval-Augmented Generation for Knowledge Graph Question Answering.

Yunfeng Ning, Mayi Xu, Jintao Wen, Qiankun Pi, Yuanyuan Zhu, Ming Zhong, Jiawei Jiang, Tieyun Qian

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

Format as a Prior: Quantifying and Analyzing Bias in LLMs for Heterogeneous Data.

Jiacheng Liu, Mayi Xu, Qiankun Pi, Wenli Li, Ming Zhong, Yuanyuan Zhu, Mengchi Liu, Tieyun Qian

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Can a Small Model Learn to Look Before It Leaps? Dynamic Learning and Proactive Correction for Hallucination Detection.

Zepeng Bao, Shen Zhou, Qiankun Pi, Jianhao Chen, Mayi Xu, Ming Zhong, Yuanyuan Zhu, Tieyun Qian

CoRR, November, 2025

Knowledge Graph Tokenization for Behavior-Aware Generative Next POI Recommendation.

Ke Sun, Mayi Xu

CoRR, September, 2025

FuSaR: A Fuzzification-Based Method for LRM Safety-Reasoning Balance.

Jianhao Chen, Mayi Xu, Xiaohu Li, Yongqi Li, Xiangyu Zhang, Jianjie Huang, Tieyun Qian

CoRR, August, 2025

NeuronTune: Fine-Grained Neuron Modulation for Balanced Safety-Utility Alignment in LLMs.

Birong Pan, Mayi Xu, Qiankun Pi, Jianhao Chen, Yuanyuan Zhu, Ming Zhong, Tieyun Qian

CoRR, August, 2025

A Survey on Training-free Alignment of Large Language Models.

Birong Pan, Yongqi Li, Weiyu Zhang, Wenpeng Lu, Mayi Xu, Shen Zhou, Yuanyuan Zhu, Ming Zhong, Tieyun Qian

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 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

Proceedings of the Findings of the Association for Computational Linguistics, 2025

Aligning VLM Assistants with Personalized Situated Cognition.

Yongqi Li, Shen Zhou, Xiaohu Li, Xin Miao, Jintao Wen, Mayi Xu, Jianhao Chen, Birong Pan, Hankun Kang, Yuanyuan Zhu, Ming Zhong, Tieyun Qian

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Enhancing Relation Extraction via Supervised Rationale Verification and Feedback.

Yongqi Li, Xin Miao, Shen Zhou, Mayi Xu, Yuyang Ren, Tieyun Qian

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

Strong Empowered and Aligned Weak Mastered Annotation for Weak-to-Strong Generalization.

Yongqi Li, Xin Miao, Mayi Xu, Tieyun Qian

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Adaption-of-Thought: Learning Question Difficulty Improves Large Language Models for Reasoning.

Mayi Xu, Yongqi Li, Ke Sun, Tieyun Qian

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Prompting Large Language Models for Counterfactual Generation: An Empirical Study.

Yongqi Li, Mayi Xu, Xin Miao, Shen Zhou, Tieyun Qian

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

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., October, 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., May, 2023

Large Language Models as Counterfactual Generator: Strengths and Weaknesses.

Yongqi Li, Mayi Xu, Xin Miao, Shen Zhou, Tieyun Qian

CoRR, 2023

Cold-Start Multi-hop Reasoning by Hierarchical Guidance and Self-verification.

Mayi Xu, Ke Sun, Yongqi Li, Tieyun Qian

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

2022

Learning for target-dependent sentiment based on local context-aware embedding.

Biqing Zeng, Heng Yang, Shuai Liu, Mayi Xu

J. Supercomput., 2022

Combining dynamic local context focus and dependency cluster attention for aspect-level sentiment classification.

Mayi Xu, Biqing Zeng, Heng Yang, Junlong Chi, Jiatao Chen, Hongye Liu

Neurocomputing, 2022

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, Mayi Xu, Meirong Ding

J. Intell. Fuzzy Syst., 2021

Back to Reality: Leveraging Pattern-driven Modeling to Enable Affordable Sentiment Dependency Learning.

Heng Yang, Biqing Zeng, Mayi Xu, Tianxing Wang

CoRR, 2021