Xuansheng Wu

According to our database, Xuansheng Wu authored at least 38 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

Learnable Assessment Skills for LLM-based Automated Scoring: Rubric Construction via Iterative Optimization.

Yun Wang, Xin Xia, Xuansheng Wu, Xiaoming Zhai, Ninghao Liu

CoRR, May, 2026

Safactory: A Scalable Agentic Infrastructure for Training Trustworthy Autonomous Intelligence.

Xinquan Chen, Zhenyun Yin, Shan He, Bin Huang, Shanzhe Lei, Pengcheng Shi, Kun Cai, Bei Chen, Bangwei Liu, Zeyu Kang, Chao Huang, Yang Zhang, Wenjie Li, Ruijun Ge, Yajie Wang, Tianshun Fang, Tianyang Xu, Yiwen Cong, Meng Jin, Gaolei Li, Xuansheng Wu, Linhan Liu, Zijing He, An Li, Yan Teng, Xin Tan, Dongrui Liu, Jing Shao, ChaoChao Lu, Ji He, Jie Li, Chunfeng Song, Jinya Xu, Fan Song, Shujie Wang, Jianmin Qian, Jie Hou, Xuhong Wang, Yingchun Wang, Hui Wang, Xia Hu

CoRR, May, 2026

BRIDGE the Gap: Mitigating Bias Amplification in Automated Scoring of English Language Learners via Inter-group Data Augmentation.

Yun Wang, Xuansheng Wu, Jingyuan Huang, Lei Liu, Xiaoming Zhai, Ninghao Liu

CoRR, February, 2026

Less is Enough: Synthesizing Diverse Data in Feature Space of LLMs.

Zhongzhi Li, Xuansheng Wu, Yijiang Li, Lijie Hu, Ninghao Liu

CoRR, February, 2026

Denoising Concept Vectors with Sparse Autoencoders for Improved Language Model Steering.

Haiyan Zhao, Xuansheng Wu, Fan Yang, Bo Shen, Ninghao Liu, Mengnan Du

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2026, 2026

BRIDGE the Gap: Mitigating Bias Amplification in Automated Scoring of English Language Learners via Inter-group Data Augmentation.

Yun Wang, Xuansheng Wu, Jingyuan Huang, Lei Liu, Xiaoming Zhai, Ninghao Liu

Proceedings of the Artificial Intelligence in Education - 27th International Conference, 2026

AutoSCORE: Enhancing Automated Scoring with Multi-Agent Large Language Models via Structured Component Recognition.

Yun Wang, Zhaojun Ding, Xuansheng Wu, Siyue Sun, Ninghao Liu, Xiaoming Zhai

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Investigating CoT Monitorability in Large Reasoning Models.

Shu Yang, Junchao Wu, Xilin Gou, Xuansheng Wu, Derek F. Wong, Ninhao Liu, Di Wang

CoRR, November, 2025

Soundness-Aware Level: A Microscopic Signature that Predicts LLM Reasoning Potential.

Xuansheng Wu, Xiaoman Pan, Wenlin Yao, Jianshu Chen

CoRR, October, 2025

LMOD+: A Comprehensive Multimodal Dataset and Benchmark for Developing and Evaluating Multimodal Large Language Models in Ophthalmology.

Zhenyue Qin, Yang Liu, Yu Yin, Jinyu Ding, Haoran Zhang, Anran Li, Dylan Campbell, Xuansheng Wu, Ke Zou, Tiarnan D. L. Keenan, Emily Y. Chew, Zhiyong Lu, Yih-Chung Tham, Ninghao Liu, Xiuzhen Zhang, Qingyu Chen

CoRR, September, 2025

Enhancing LLM Steering through Sparse Autoencoder-Based Vector Refinement.

Anyi Wang, Xuansheng Wu, Dong Shu, Yunpu Ma, Ninghao Liu

CoRR, September, 2025

Is Long-to-Short a Free Lunch? Investigating Inconsistency and Reasoning Efficiency in LRMs.

Shu Yang, Junchao Wu, Xuansheng Wu, Derek Wong, Ninhao Liu, Di Wang

CoRR, June, 2025

Interpreting and Steering LLMs with Mutual Information-based Explanations on Sparse Autoencoders.

Xuansheng Wu, Jiayi Yuan, Wenlin Yao, Xiaoming Zhai, Ninghao Liu

CoRR, February, 2025

Self-Regularization with Latent Space Explanations for Controllable LLM-based Classification.

Xuansheng Wu, Wenhao Yu, Xiaoming Zhai, Ninghao Liu

CoRR, February, 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, Qingyu Chen

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29, 2025

Self-Regularization with Sparse Autoencoders for Controllable LLM-based Classification.

Xuansheng Wu, Wenhao Yu, Xiaoming Zhai, Ninghao Liu

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025

Concept-Centric Token Interpretation for Vector-Quantized Generative Models.

Tianze Yang, Yucheng Shi, Mengnan Du, Xuansheng Wu, Qiaoyu Tan, Jin Sun, Ninghao Liu

Proceedings of the Forty-second International Conference on Machine Learning, 2025

A Survey on Sparse Autoencoders: Interpreting the Internal Mechanisms of Large Language Models.

Dong Shu, Xuansheng Wu, Haiyan Zhao, Daking Rai, Ziyu Yao, Ninghao Liu, Mengnan Du

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

Beyond Input Activations: Identifying Influential Latents by Gradient Sparse Autoencoders.

Dong Shu, Xuansheng Wu, Haiyan Zhao, Mengnan Du, Ninghao Liu

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

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

Proceedings of the Artificial Intelligence in Education - 26th International Conference, 2025

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., October, 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

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

Usable XAI: 10 Strategies Towards Exploiting Explainability in the LLM Era.

Xuansheng Wu, Haiyan Zhao, Yaochen Zhu, Yucheng Shi, Fan Yang, Tianming Liu, Xiaoming Zhai, Wenlin Yao, Jundong Li, Mengnan Du, Ninghao Liu

CoRR, 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

Could Small Language Models Serve as Recommenders? Towards Data-centric Cold-start Recommendation.

Xuansheng Wu, Huachi Zhou, Yucheng Shi, Wenlin Yao, Xiao Huang, Ninghao Liu

Proceedings of the ACM on Web Conference 2024, 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

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 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

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

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, Pengfei Liu, Dong Yu

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

Towards Personalized Cold-Start Recommendation with Prompts.

Xuansheng Wu, Huachi Zhou, Wenlin Yao, Xiao Huang, Ninghao Liu

CoRR, 2023

Artificial General Intelligence (AGI) for Education.

Ehsan Latif, Gengchen Mai, Matthew Nyaaba, Xuansheng Wu, Ninghao Liu, Guoyu Lu, Sheng Li, Tianming Liu, Xiaoming Zhai

CoRR, 2023

Black-box Backdoor Defense via Zero-shot Image Purification.

Yucheng Shi, Mengnan Du, Xuansheng Wu, Zihan Guan, Ninghao Liu

CoRR, 2023

A Survey of Graph Prompting Methods: Techniques, Applications, and Challenges.

Xuansheng Wu, Kaixiong Zhou, Mingchen Sun, Xin Wang, Ninghao Liu

CoRR, 2023

NoPPA: Non-Parametric Pairwise Attention Random Walk Model for Sentence Representation.

Xuansheng Wu, Zhiyi Zhao, Ninghao Liu

CoRR, 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

Black-box Backdoor Defense via Zero-shot Image Purification.

Yucheng Shi, Mengnan Du, Xuansheng Wu, Zihan Guan, Jin Sun, Ninghao Liu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Matching Exemplar as Next Sentence Prediction (MeNSP): Zero-Shot Prompt Learning for Automatic Scoring in Science Education.

Xuansheng Wu, Xinyu He, Tianming Liu, Ninghao Liu, Xiaoming Zhai

Proceedings of the Artificial Intelligence in Education - 24th International Conference, 2023

2021

Rethinking the Impacts of Overfitting and Feature Quality on Small-scale Video Classification.

Xuansheng Wu, Feichi Yang, Tong Zhou, Xinyue Lin

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021