Shu Yang

According to our database, Shu Yang authored at least 53 papers between 2023 and 2026.

Collaborative distances:

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

2026

STARS: Skill-Triggered Audit for Request-Conditioned Invocation Safety in Agent Systems.

Guijia Zhang, Shu Yang, Xilin Gong, Di Wang

CoRR, April, 2026

Hierarchical Alignment: Enforcing Hierarchical Instruction-Following in LLMs through Logical Consistency.

Shu Yang, Zihao Zhou, Di Wang, Wenda Li

CoRR, April, 2026

Multi-User Large Language Model Agents.

Shu Yang, Shenzhe Zhu, Hao Zhu, José Ramón Enríquez, Di Wang, Alex Pentland, Michiel A. Bakker, Jiaxin Pei

CoRR, April, 2026

Accelerating Suffix Jailbreak attacks with Prefix-Shared KV-cache.

Xinhai Wang, Shaopeng Fu, Shu Yang, Liangyu Wang, Tianhang Zheng, Di Wang

CoRR, March, 2026

Neuron-Aware Data Selection In Instruction Tuning For Large Language Models.

Xin Chen, Junchao Wu, Shu Yang, Runzhe Zhan, Zeyu Wu, Min Yang, Shujian Huang, Lidia S. Chao, Derek F. Wong

CoRR, March, 2026

Word Recovery in Large Language Models Enables Character-Level Tokenization Robustness.

Zhipeng Yang, Shu Yang, Lijie Hu, Di Wang

CoRR, March, 2026

Visual Self-Fulfilling Alignment: Shaping Safety-Oriented Personas via Threat-Related Images.

Qishun Yang, Shu Yang, Lijie Hu, Di Wang

CoRR, March, 2026

Concept-Based Dictionary Learning for Inference-Time Safety in Vision Language Action Models.

Siqi Wen, Shu Yang, Shaopeng Fu, Jingfeng Zhang, Lijie Hu, Di Wang

CoRR, February, 2026

Faithful-Patchscopes: Understanding and Mitigating Model Bias in Hidden Representations Explanation of Large Language Models.

Xilin Gong, Shu Yang, Zehua Cao, Lynne Billard, Di Wang

CoRR, February, 2026

Hearing is Believing? Evaluating and Analyzing Audio Language Model Sycophancy with SYAUDIO.

Junchi Yao, Lokranjan Lakshmikanthan, Annie Zhao, Danielle Zhao, Shu Yang, Zikang Ding, Di Wang, Lijie Hu

CoRR, January, 2026

Not All Code Is Equal: A Data-Centric Study of Code Complexity and LLM Reasoning.

Lukas Twist, Shu Yang, Hanqi Yan, Jingzhi Gong, Di Wang, Helen Yannakoudakis, Jie M. Zhang

CoRR, January, 2026

AutoMonitor-Bench: Evaluating the Reliability of LLM-Based Misbehavior Monitor.

Shu Yang, Jingyu Hu, Tong Li, Hanqi Yan, Wenxuan Wang, Di Wang

CoRR, January, 2026

Towards Representation Backdoor on CLIP via Concept Confusion.

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

Trans. Mach. Learn. Res., 2026

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

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

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

MONICA: Real-Time Monitoring and Calibration of Chain-of-Thought Sycophancy in Large Reasoning Models.

Jingyu Hu, Shu Yang, Xilin Gong, Hongming Wang, Weiru Liu, Di Wang

CoRR, November, 2025

PAHQ: Accelerating Automated Circuit Discovery through Mixed-Precision Inference Optimization.

Xinhai Wang, Shu Yang, Liangyu Wang, Lin Zhang, Huanyi Xie, Lijie Hu, Di Wang

CoRR, October, 2025

Can AI Truly Represent Your Voice in Deliberations? A Comprehensive Study of Large-Scale Opinion Aggregation with LLMs.

Shenzhe Zhu, Shu Yang, Michiel A. Bakker, Alex Pentland, Jiaxin Pei

CoRR, October, 2025

Benchmarking and Mitigate Psychological Sycophancy in Medical Vision-Language Models.

Zikun Guo, Xinyue Xu, Pei Xiang, Shu Yang, Xin Han, Di Wang, Lijie Hu

CoRR, September, 2025

PersRM-R1: Enhance Personalized Reward Modeling with Reinforcement Learning.

Mengdi Li, Guanqiao Chen, Xufeng Zhao, Haochen Wen, Shu Yang, Di Wang

CoRR, August, 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

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

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

Evaluating Data Influence in Meta Learning.

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

CoRR, January, 2025

RepreGuard: Detecting LLM-Generated Text by Revealing Hidden Representation Patterns.

Xin Chen, Junchao Wu, Shu Yang, Runzhe Zhan, Zeyu Wu, Ziyang Luo, Di Wang, Min Yang, Lidia S. Chao, Derek F. Wong

Trans. Assoc. Comput. Linguistics, 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

Stable Vision Concept Transformers for Medical Diagnosis.

Lijie Hu, Songning Lai, Yuan Hua, Shu Yang, Jingfeng Zhang, Di Wang

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

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 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

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

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 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 37: 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