Shu Yang

According to our database, Shu Yang authored at least 32 papers between 2023 and 2025.

Collaborative distances:

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

2025

Understanding and Mitigating Political Stance Cross-topic Generalization in Large Language Models.

Jiayi Zhang, Shu Yang, Junchao Wu, Derek F. Wong, Di Wang

CoRR, August, 2025

When Truth Is Overridden: Uncovering the Internal Origins of Sycophancy in Large Language Models.

Keyu Wang, Jin Li, Shu Yang, Zhuoran Zhang, Di Wang

CoRR, August, 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

The Compositional Architecture of Regret in Large Language Models.

Xiangxiang Cui, Shu Yang, Tianjin Huang, Wanyu Lin, Lijie Hu, Di Wang

CoRR, June, 2025

Mitigating Behavioral Hallucination in Multimodal Large Language Models for Sequential Images.

Liangliang You, Junchi Yao, Shu Yang, Guimin Hu, Lijie Hu, Di Wang

CoRR, June, 2025

Flattery in Motion: Benchmarking and Analyzing Sycophancy in Video-LLMs.

Wenrui Zhou, Shu Yang, Qingsong Yang, Zikun Guo, Lijie Hu, Di Wang

CoRR, June, 2025

Understanding and Mitigating Cross-lingual Privacy Leakage via Language-specific and Universal Privacy Neurons.

Wenshuo Dong, Qingsong Yang, Shu Yang, Lijie Hu, Meng Ding, Wanyu Lin, Tianhang Zheng, Di Wang

CoRR, June, 2025

Understanding How Value Neurons Shape the Generation of Specified Values in LLMs.

Yi Su, Jiayi Zhang, Shu Yang, Xinhai Wang, Lijie Hu, Di Wang

CoRR, May, 2025

Is Your LLM-Based Multi-Agent a Reliable Real-World Planner? Exploring Fraud Detection in Travel Planning.

Junchi Yao, Jianhua Xu, Tianyu Xin, Ziyi Wang, Shenzhe Zhu, Shu Yang, Di Wang

CoRR, May, 2025

A Survey on the Safety and Security Threats of Computer-Using Agents: JARVIS or Ultron?

Ada Chen, Yongjiang Wu, Junyuan Zhang, Jingyu Xiao, Shu Yang, Jen-tse Huang, Kun Wang, Wenxuan Wang, Shuai Wang

CoRR, May, 2025

Understanding Aha Moments: from External Observations to Internal Mechanisms.

Shu Yang, Junchao Wu, Xin Chen, Yunze Xiao, Xinyi Yang, Derek F. Wong, Di Wang

CoRR, April, 2025

Rethinking Prompt-based Debiasing in Large Language Models.

Xinyi Yang, Runzhe Zhan, Derek F. Wong, Shu Yang, Junchao Wu, Lidia S. Chao

CoRR, March, 2025

C² ATTACK: Towards Representation Backdoor on CLIP via Concept Confusion.

Lijie Hu, Junchi Liao, Weimin Lyu, Shaopeng Fu, Tianhao Huang, Shu Yang, Guimin Hu, Di Wang

CoRR, March, 2025

Can Large Language Models Identify Implicit Suicidal Ideation? An Empirical Evaluation.

Tong Li, Shu Yang, Junchao Wu, Jiyao Wei, Lijie Hu, Mengdi Li, Derek F. Wong, Joshua R. Oltmanns, Di Wang

CoRR, February, 2025

EAP-GP: Mitigating Saturation Effect in Gradient-based Automated Circuit Identification.

Lin Zhang, Wenshuo Dong, Zhuoran Zhang, Shu Yang, Lijie Hu, Ninghao Liu, Pan Zhou, Di Wang

CoRR, February, 2025

Evaluating Data Influence in Meta Learning.

Chenyang Ren, Huanyi Xie, Shu Yang, Meng Ding, Lijie Hu, Di Wang

CoRR, January, 2025

A Survey on LLM-Generated Text Detection: Necessity, Methods, and Future Directions.

Junchao Wu, Shu Yang, Runzhe Zhan, Yulin Yuan, Lidia S. Chao, Derek Fai Wong

Comput. Linguistics, 2025

Who Wrote This? The Key to Zero-Shot LLM-Generated Text Detection Is GECScore.

Junchao Wu, Runzhe Zhan, Derek F. Wong, Shu Yang, Xuebo Liu, Lidia S. Chao, Min Zhang

Proceedings of the 31st International Conference on Computational Linguistics, 2025

Understanding the Repeat Curse in Large Language Models from a Feature Perspective.

Junchi Yao, Shu Yang, Jianhua Xu, Lijie Hu, Mengdi Li, Di Wang

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

Fraud-R1 : A Multi-Round Benchmark for Assessing the Robustness of LLM Against Augmented Fraud and Phishing Inducements.

Shu Yang, Shenzhe Zhu, Zeyu Wu, Keyu Wang, Junchi Yao, Junchao Wu, Lijie Hu, Mengdi Li, Derek F. Wong, Di Wang

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

Rethinking Prompt-based Debiasing in Large Language Model.

Xinyi Yang, Runzhe Zhan, Shu Yang, Junchao Wu, Lidia S. Chao, Derek F. Wong

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

2024

Dissecting Misalignment of Multimodal Large Language Models via Influence Function.

Lijie Hu, Chenyang Ren, Huanyi Xie, Khouloud Saadi, Shu Yang, Jingfeng Zhang, Di Wang

CoRR, 2024

What makes your model a low-empathy or warmth person: Exploring the Origins of Personality in LLMs.

Shu Yang, Shenzhe Zhu, Ruoxuan Bao, Liang Liu, Yu Cheng, Lijie Hu, Mengdi Li, Di Wang

CoRR, 2024

Understanding Reasoning in Chain-of-Thought from the Hopfieldian View.

Lijie Hu, Liang Liu, Shu Yang, Xin Chen, Zhen Tan, Muhammad Asif Ali, Mengdi Li, Di Wang

CoRR, 2024

A Hopfieldian View-based Interpretation for Chain-of-Thought Reasoning.

Lijie Hu, Liang Liu, Shu Yang, Xin Chen, Hongru Xiao, Mengdi Li, Pan Zhou, Muhammad Asif Ali, Di Wang

CoRR, 2024

Leveraging Logical Rules in Knowledge Editing: A Cherry on the Top.

Keyuan Cheng, Muhammad Asif Ali, Shu Yang, Gang Lin, Yuxuan Zhai, Haoyang Fei, Ke Xu, Lu Yu, Lijie Hu, Di Wang

CoRR, 2024

PROMPT-SAW: Leveraging Relation-Aware Graphs for Textual Prompt Compression.

Muhammad Asif Ali, Zhengping Li, Shu Yang, Keyuan Cheng, Yang Cao, Tianhao Huang, Lijie Hu, Lu Yu, Di Wang

CoRR, 2024

Dialectical Alignment: Resolving the Tension of 3H and Security Threats of LLMs.

Shu Yang, Jiayuan Su, Han Jiang, Mengdi Li, Keyuan Cheng, Muhammad Asif Ali, Lijie Hu, Di Wang

CoRR, 2024

Human-AI Interactions in the Communication Era: Autophagy Makes Large Models Achieving Local Optima.

Shu Yang, Lijie Hu, Lu Yu, Muhammad Asif Ali, Di Wang

CoRR, 2024

MoRAL: MoE Augmented LoRA for LLMs' Lifelong Learning.

Shu Yang, Muhammad Asif Ali, Cheng-Long Wang, Lijie Hu, Di Wang

CoRR, 2024

DetectRL: Benchmarking LLM-Generated Text Detection in Real-World Scenarios.

Junchao Wu, Runzhe Zhan, Derek F. Wong, Shu Yang, Xinyi Yang, Yulin Yuan, Lidia S. Chao

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

2023

Is ChatGPT a Highly Fluent Grammatical Error Correction System? A Comprehensive Evaluation.

Tao Fang, Shu Yang, Kaixin Lan, Derek F. Wong, Jinpeng Hu, Lidia S. Chao, Yue Zhang

CoRR, 2023