Rethinking the Impacts of Overfitting and Feature Quality on Small-scale Video Classification. - Xuansheng Wu; Feichi Yang; Tong Zhou; Xinyue Lin (ACM Multimedia, 2021)

Matching Exemplar as Next Sentence Prediction (MeNSP): Zero-Shot Prompt Learning for Automatic Scoring in Science Education. - Xuansheng Wu; Xinyu He; Tianming Liu 001; Ninghao Liu; Xiaoming Zhai (AIED, 2023)

Black-box Backdoor Defense via Zero-shot Image Purification. - Yucheng Shi; Mengnan Du; Xuansheng Wu; Zihan Guan 001; Jin Sun 011; Ninghao Liu (NeurIPS, 2023)

Matching Exemplar as Next Sentence Prediction (MeNSP): Zero-shot Prompt Learning for Automatic Scoring in Science Education. - Xuansheng Wu; Xinyu He; Tianming Li; Ninghao Liu; Xiaoming Zhai (CoRR, 2023)

NoPPA: Non-Parametric Pairwise Attention Random Walk Model for Sentence Representation. - Xuansheng Wu; Zhiyi Zhao; Ninghao Liu (CoRR, 2023)

A Survey of Graph Prompting Methods: Techniques, Applications, and Challenges. - Xuansheng Wu; Kaixiong Zhou; Mingchen Sun; Xin Wang 035; Ninghao Liu (CoRR, 2023)

Black-box Backdoor Defense via Zero-shot Image Purification. - Yucheng Shi; Mengnan Du; Xuansheng Wu; Zihan Guan 001; Ninghao Liu (CoRR, 2023)

Artificial General Intelligence (AGI) for Education. - Ehsan Latif; Gengchen Mai; Matthew Nyaaba; Xuansheng Wu; Ninghao Liu; Guoyu Lu; Sheng Li 001; Tianming Liu 001; Xiaoming Zhai (CoRR, 2023)

Towards Personalized Cold-Start Recommendation with Prompts. - Xuansheng Wu; Huachi Zhou; Wenlin Yao; Xiao Huang 001; Ninghao Liu (CoRR, 2023)

InFoBench: Evaluating Instruction Following Ability in Large Language Models. - Yiwei Qin; Kaiqiang Song; Yebowen Hu; Wenlin Yao; Sangwoo Cho; Xiaoyang Wang; Xuansheng Wu; Fei Liu 004; Pengfei Liu 003; Dong Yu 001 (ACL (Findings), 2024)

Retrieval-enhanced Knowledge Editing in Language Models for Multi-Hop Question Answering. - Yucheng Shi; Qiaoyu Tan; Xuansheng Wu; Shaochen Zhong; Kaixiong Zhou; Ninghao Liu (CIKM, 2024)

From Language Modeling to Instruction Following: Understanding the Behavior Shift in LLMs after Instruction Tuning. - Xuansheng Wu; Wenlin Yao; Jianshu Chen; Xiaoman Pan; Xiaoyang Wang; Ninghao Liu; Dong Yu 001 (NAACL-HLT, 2024)

Could Small Language Models Serve as Recommenders? Towards Data-centric Cold-start Recommendation. - Xuansheng Wu; Huachi Zhou; Yucheng Shi; Wenlin Yao; Xiao Huang 001; Ninghao Liu (WWW, 2024)

Applying large language models and chain-of-thought for automatic scoring. - Gyeong-Geon Lee; Ehsan Latif; Xuansheng Wu; Ninghao Liu; Xiaoming Zhai (Comput. Educ. Artif. Intell., 2024)

Usable XAI: 10 Strategies Towards Exploiting Explainability in the LLM Era. - Xuansheng Wu; Haiyan Zhao 003; Yaochen Zhu; Yucheng Shi; Fan Yang 023; Tianming Liu 001; Xiaoming Zhai; Wenlin Yao; Jundong Li; Mengnan Du; Ninghao Liu (CoRR, 2024)

Retrieval-Enhanced Knowledge Editing for Multi-Hop Question Answering in Language Models. - Yucheng Shi; Qiaoyu Tan; Xuansheng Wu; Shaochen Zhong; Kaixiong Zhou; Ninghao Liu (CoRR, 2024)

Unveiling Scoring Processes: Dissecting the Differences between LLMs and Human Graders in Automatic Scoring. - Xuansheng Wu; Padmaja Pravin Saraf; Gyeong-Geon Lee; Ehsan Latif; Ninghao Liu; Xiaoming Zhai (CoRR, 2024)

DIRECT: Dual Interpretable Recommendation with Multi-aspect Word Attribution. - Xuansheng Wu; Hanqin Wan; Qiaoyu Tan; Wenlin Yao; Ninghao Liu (ACM Trans. Intell. Syst. Technol., 2024)

Artificial Intelligence Bias on English Language Learners in Automatic Scoring. - Shuchen Guo; Yun Wang; Jichao Yu; Xuansheng Wu; Bilgehan Ayik; Field M. Watts; Ehsan Latif; Ninghao Liu; Lei Liu; Xiaoming Zhai (AIED (5), 2025)

LMOD: A Large Multimodal Ophthalmology Dataset and Benchmark for Large Vision-Language Models. - Zhenyue Qin; Yu Yin; Dylan Campbell; Xuansheng Wu; Ke Zou; Ninghao Liu; Yih Chung Tham; Xiuzhen Zhang 001; Qingyu Chen 001 (NAACL (Findings), 2025)

Self-Regularization with Latent Space Explanations for Controllable LLM-based Classification. - Xuansheng Wu; Wenhao Yu 002; Xiaoming Zhai; Ninghao Liu (CoRR, 2025)

Interpreting and Steering LLMs with Mutual Information-based Explanations on Sparse Autoencoders. - Xuansheng Wu; Jiayi Yuan; Wenlin Yao; Xiaoming Zhai; Ninghao Liu (CoRR, 2025)

A Survey on Sparse Autoencoders: Interpreting the Internal Mechanisms of Large Language Models. - Dong Shu; Xuansheng Wu; Haiyan Zhao 003; Daking Rai; Ziyu Yao 002; Ninghao Liu; Mengnan Du (CoRR, 2025)

Beyond Input Activations: Identifying Influential Latents by Gradient Sparse Autoencoders. - Dong Shu; Xuansheng Wu; Haiyan Zhao 003; Mengnan Du; Ninghao Liu (CoRR, 2025)

Denoising Concept Vectors with Sparse Autoencoders for Improved Language Model Steering. - Haiyan Zhao 003; Xuansheng Wu; Fan Yang 023; Bo Shen; Ninghao Liu; Mengnan Du (CoRR, 2025)

Concept-Centric Token Interpretation for Vector-Quantized Generative Models. - Tianze Yang; Yucheng Shi; Mengnan Du; Xuansheng Wu; Qiaoyu Tan; Jin Sun 011; Ninghao Liu (CoRR, 2025)

Is Long-to-Short a Free Lunch? Investigating Inconsistency and Reasoning Efficiency in LRMs. - Shu Yang 010; Junchao Wu; Xuansheng Wu; Derek Wong; Ninhao Liu; Di Wang 015 (CoRR, 2025)