Xuansheng Wu - RankMe

45 papers A* 6A 2Journal 30Unranked 7

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	AutoSCORE: Enhancing Automated Scoring with Multi-Agent Large Language Models via Structured Component Recognition. AAAI Yun Wang, Zhaojun Ding, Xuansheng Wu, Siyue Sun, Ninghao Liu, Xiaoming Zhai
2026	J	`jnl`	BRIDGE the Gap: Mitigating Bias Amplification in Automated Scoring of English Language Learners via Inter-group Data Augmentation. CoRR Yun Wang, Xuansheng Wu, Jingyuan Huang, Lei Liu, Xiaoming Zhai, Ninghao Liu
2026	—	`conf`	Denoising Concept Vectors with Sparse Autoencoders for Improved Language Model Steering. EACL (Findings) Haiyan Zhao, Xuansheng Wu, Fan Yang, Bo Shen, Ninghao Liu, Mengnan Du
2026	J	`jnl`	Less is Enough: Synthesizing Diverse Data in Feature Space of LLMs. CoRR Zhongzhi Li, Xuansheng Wu, Yijiang Li, Lijie Hu, Ninghao Liu
2025	—	`conf`	A Survey on Sparse Autoencoders: Interpreting the Internal Mechanisms of Large Language Models. EMNLP (Findings) Dong Shu, Xuansheng Wu, Haiyan Zhao, Daking Rai, Ziyu Yao, Ninghao Liu, Mengnan Du
2025	J	`jnl`	A Survey on Sparse Autoencoders: Interpreting the Internal Mechanisms of Large Language Models. CoRR Dong Shu, Xuansheng Wu, Haiyan Zhao, Daking Rai, Ziyu Yao, Ninghao Liu, Mengnan Du
2025	—	`conf`	Artificial Intelligence Bias on English Language Learners in Automatic Scoring. AIED (5) Shuchen Guo, Yun Wang, Jichao Yu, Xuansheng Wu, Bilgehan Ayik, Field M. Watts, Ehsan Latif, Ninghao Liu, Lei Liu, Xiaoming Zhai
2025	J	`jnl`	Artificial Intelligence Bias on English Language Learners in Automatic Scoring. CoRR Shuchen Guo, Yun Wang, Jichao Yu, Xuansheng Wu, Bilgehan Ayik, Field M. Watts, Ehsan Latif, Ninghao Liu, Lei Liu, Xiaoming Zhai
2025	J	`jnl`	AutoSCORE: Enhancing Automated Scoring with Multi-Agent Large Language Models via Structured Component Recognition. CoRR Yun Wang, Zhaojun Ding, Xuansheng Wu, Siyue Sun, Ninghao Liu, Xiaoming Zhai
2025	A*	`conf`	Beyond Input Activations: Identifying Influential Latents by Gradient Sparse Autoencoders. EMNLP Dong Shu, Xuansheng Wu, Haiyan Zhao, Mengnan Du, Ninghao Liu
2025	J	`jnl`	Beyond Input Activations: Identifying Influential Latents by Gradient Sparse Autoencoders. CoRR Dong Shu, Xuansheng Wu, Haiyan Zhao, Mengnan Du, Ninghao Liu
2025	A*	`conf`	Concept-Centric Token Interpretation for Vector-Quantized Generative Models. ICML Tianze Yang, Yucheng Shi, Mengnan Du, Xuansheng Wu, Qiaoyu Tan, Jin Sun, Ninghao Liu
2025	J	`jnl`	Concept-Centric Token Interpretation for Vector-Quantized Generative Models. CoRR Tianze Yang, Yucheng Shi, Mengnan Du, Xuansheng Wu, Qiaoyu Tan, Jin Sun, Ninghao Liu
2025	J	`jnl`	Denoising Concept Vectors with Sparse Autoencoders for Improved Language Model Steering. CoRR Haiyan Zhao, Xuansheng Wu, Fan Yang, Bo Shen, Ninghao Liu, Mengnan Du
2025	J	`jnl`	Enhancing LLM Steering through Sparse Autoencoder-Based Vector Refinement. CoRR Anyi Wang, Xuansheng Wu, Dong Shu, Yunpu Ma, Ninghao Liu
2025	J	`jnl`	Interpreting and Steering LLMs with Mutual Information-based Explanations on Sparse Autoencoders. CoRR Xuansheng Wu, Jiayi Yuan, Wenlin Yao, Xiaoming Zhai, Ninghao Liu
2025	J	`jnl`	Investigating CoT Monitorability in Large Reasoning Models. CoRR Shu Yang, Junchao Wu, Xilin Gou, Xuansheng Wu, Derek F. Wong, Ninhao Liu, Di Wang
2025	J	`jnl`	Is Long-to-Short a Free Lunch? Investigating Inconsistency and Reasoning Efficiency in LRMs. CoRR Shu Yang, Junchao Wu, Xuansheng Wu, Derek Wong, Ninhao Liu, Di Wang
2025	J	`jnl`	LMOD+: A Comprehensive Multimodal Dataset and Benchmark for Developing and Evaluating Multimodal Large Language Models in Ophthalmology. CoRR 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
2025	—	`conf`	LMOD: A Large Multimodal Ophthalmology Dataset and Benchmark for Large Vision-Language Models. NAACL (Findings) Zhenyue Qin, Yu Yin, Dylan Campbell, Xuansheng Wu, Ke Zou, Ninghao Liu, Yih Chung Tham, Xiuzhen Zhang, Qingyu Chen
2025	J	`jnl`	Self-Regularization with Latent Space Explanations for Controllable LLM-based Classification. CoRR Xuansheng Wu, Wenhao Yu, Xiaoming Zhai, Ninghao Liu
2025	—	`conf`	Self-Regularization with Sparse Autoencoders for Controllable LLM-based Classification. KDD (2) Xuansheng Wu, Wenhao Yu, Xiaoming Zhai, Ninghao Liu
2025	J	`jnl`	Soundness-Aware Level: A Microscopic Signature that Predicts LLM Reasoning Potential. CoRR Xuansheng Wu, Xiaoman Pan, Wenlin Yao, Jianshu Chen
2024	J	`jnl`	Applying large language models and chain-of-thought for automatic scoring. Comput. Educ. Artif. Intell. Gyeong-Geon Lee, Ehsan Latif, Xuansheng Wu, Ninghao Liu, Xiaoming Zhai
2024	A*	`conf`	Could Small Language Models Serve as Recommenders? Towards Data-centric Cold-start Recommendation. WWW Xuansheng Wu, Huachi Zhou, Yucheng Shi, Wenlin Yao, Xiao Huang, Ninghao Liu
2024	J	`jnl`	DIRECT: Dual Interpretable Recommendation with Multi-aspect Word Attribution. ACM Trans. Intell. Syst. Technol. Xuansheng Wu, Hanqin Wan, Qiaoyu Tan, Wenlin Yao, Ninghao Liu
2024	—	`conf`	From Language Modeling to Instruction Following: Understanding the Behavior Shift in LLMs after Instruction Tuning. NAACL-HLT Xuansheng Wu, Wenlin Yao, Jianshu Chen, Xiaoman Pan, Xiaoyang Wang, Ninghao Liu, Dong Yu
2024	—	`conf`	InFoBench: Evaluating Instruction Following Ability in Large Language Models. ACL (Findings) Yiwei Qin, Kaiqiang Song, Yebowen Hu, Wenlin Yao, Sangwoo Cho, Xiaoyang Wang, Xuansheng Wu, Fei Liu, Pengfei Liu, Dong Yu
2024	J	`jnl`	InFoBench: Evaluating Instruction Following Ability in Large Language Models. CoRR Yiwei Qin, Kaiqiang Song, Yebowen Hu, Wenlin Yao, Sangwoo Cho, Xiaoyang Wang, Xuansheng Wu, Fei Liu, Pengfei Liu, Dong Yu
2024	J	`jnl`	LMOD: A Large Multimodal Ophthalmology Dataset and Benchmark for Large Vision-Language Models. CoRR Zhenyue Qin, Yu Yin, Dylan Campbell, Xuansheng Wu, Ke Zou, Yih-Chung Tham, Ninghao Liu, Xiuzhen Zhang, Qingyu Chen
2024	J	`jnl`	Retrieval-Enhanced Knowledge Editing for Multi-Hop Question Answering in Language Models. CoRR Yucheng Shi, Qiaoyu Tan, Xuansheng Wu, Shaochen Zhong, Kaixiong Zhou, Ninghao Liu
2024	A	`conf`	Retrieval-enhanced Knowledge Editing in Language Models for Multi-Hop Question Answering. CIKM Yucheng Shi, Qiaoyu Tan, Xuansheng Wu, Shaochen Zhong, Kaixiong Zhou, Ninghao Liu
2024	J	`jnl`	Unveiling Scoring Processes: Dissecting the Differences between LLMs and Human Graders in Automatic Scoring. CoRR Xuansheng Wu, Padmaja Pravin Saraf, Gyeong-Geon Lee, Ehsan Latif, Ninghao Liu, Xiaoming Zhai
2024	J	`jnl`	Usable XAI: 10 Strategies Towards Exploiting Explainability in the LLM Era. CoRR Xuansheng Wu, Haiyan Zhao, Yaochen Zhu, Yucheng Shi, Fan Yang, Tianming Liu, Xiaoming Zhai, Wenlin Yao, Jundong Li, Mengnan Du, Ninghao Liu
2023	J	`jnl`	A Survey of Graph Prompting Methods: Techniques, Applications, and Challenges. CoRR Xuansheng Wu, Kaixiong Zhou, Mingchen Sun, Xin Wang, Ninghao Liu
2023	J	`jnl`	Applying Large Language Models and Chain-of-Thought for Automatic Scoring. CoRR Gyeong-Geon Lee, Ehsan Latif, Xuansheng Wu, Ninghao Liu, Xiaoming Zhai
2023	J	`jnl`	Artificial General Intelligence (AGI) for Education. CoRR Ehsan Latif, Gengchen Mai, Matthew Nyaaba, Xuansheng Wu, Ninghao Liu, Guoyu Lu, Sheng Li, Tianming Liu, Xiaoming Zhai
2023	A*	`conf`	Black-box Backdoor Defense via Zero-shot Image Purification. NeurIPS Yucheng Shi, Mengnan Du, Xuansheng Wu, Zihan Guan, Jin Sun, Ninghao Liu
2023	J	`jnl`	Black-box Backdoor Defense via Zero-shot Image Purification. CoRR Yucheng Shi, Mengnan Du, Xuansheng Wu, Zihan Guan, Ninghao Liu
2023	J	`jnl`	From Language Modeling to Instruction Following: Understanding the Behavior Shift in LLMs after Instruction Tuning. CoRR Xuansheng Wu, Wenlin Yao, Jianshu Chen, Xiaoman Pan, Xiaoyang Wang, Ninghao Liu, Dong Yu
2023	A	`conf`	Matching Exemplar as Next Sentence Prediction (MeNSP): Zero-Shot Prompt Learning for Automatic Scoring in Science Education. AIED Xuansheng Wu, Xinyu He, Tianming Liu, Ninghao Liu, Xiaoming Zhai
2023	J	`jnl`	Matching Exemplar as Next Sentence Prediction (MeNSP): Zero-shot Prompt Learning for Automatic Scoring in Science Education. CoRR Xuansheng Wu, Xinyu He, Tianming Li, Ninghao Liu, Xiaoming Zhai
2023	J	`jnl`	NoPPA: Non-Parametric Pairwise Attention Random Walk Model for Sentence Representation. CoRR Xuansheng Wu, Zhiyi Zhao, Ninghao Liu
2023	J	`jnl`	Towards Personalized Cold-Start Recommendation with Prompts. CoRR Xuansheng Wu, Huachi Zhou, Wenlin Yao, Xiao Huang, Ninghao Liu
2021	A*	`conf`	Rethinking the Impacts of Overfitting and Feature Quality on Small-scale Video Classification. ACM Multimedia Xuansheng Wu, Feichi Yang, Tong Zhou, Xinyue Lin