Haiyan Zhao

According to our database, Haiyan Zhao authored at least 19 papers between 2024 and 2026.

Collaborative distances:

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

2026

Universal Activation Verbalizer: A Unified Framework for Cross-Model Activation Explanation.

Haiyan Zhao, Zirui He, Guanchu Wang, Ali Payani, Yingcong Li, Mengnan Du

CoRR, May, 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

2025

Towards Uncovering How Large Language ModelsWork: An Interpretability Perspective.

Haiyan Zhao, Fan Yang, Bo Shen, Ali Payani, Himabindu Lakkaraju, Mengnan Du

SIGKDD Explor., December, 2025

Rep2Text: Decoding Full Text from a Single LLM Token Representation.

Haiyan Zhao, Zirui He, Fan Yang, Ali Payani, Mengnan Du

CoRR, November, 2025

MemLens: Uncovering Memorization in LLMs with Activation Trajectories.

Zirui He, Haiyan Zhao, Ali Payani, Mengnan Du

CoRR, September, 2025

SAIF: A Sparse Autoencoder Framework for Interpreting and Steering Instruction Following of Language Models.

Zirui He, Haiyan Zhao, Yiran Qiao, Fan Yang, Ali Payani, Jing Ma, Mengnan Du

CoRR, February, 2025

Large Vision-Language Model Alignment and Misalignment: A Survey Through the Lens of Explainability.

Dong Shu, Haiyan Zhao, Jingyu Hu, Weiru Liu, Lu Cheng, Mengnan Du

CoRR, January, 2025

Beyond Single Concept Vector: Modeling Concept Subspace in LLMs with Gaussian Distribution.

Haiyan Zhao, Heng Zhao, Bo Shen, Ali Payani, Fan Yang, Mengnan Du

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Large Vision-Language Model Alignment and Misalignment: A Survey Through the Lens of Explainability.

Dong Shu, Haiyan Zhao, Jingyu Hu, Weiru Liu, Ali Payani, Lu Cheng, Mengnan Du

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

Exploring Concept Depth: How Large Language Models Acquire Knowledge and Concept at Different Layers?

Mingyu Jin, Qinkai Yu, Jingyuan Huang, Qingcheng Zeng, Zhenting Wang, Wenyue Hua, Haiyan Zhao, Kai Mei, Yanda Meng, Kaize Ding, Fan Yang, Mengnan Du, Yongfeng Zhang

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

2024

Explainability for Large Language Models: A Survey.

Haiyan Zhao, Hanjie Chen, Fan Yang, Ninghao Liu, Huiqi Deng, Hengyi Cai, Shuaiqiang Wang, Dawei Yin, Mengnan Du

ACM Trans. Intell. Syst. Technol., April, 2024

Exploring Multilingual Probing in Large Language Models: A Cross-Language Analysis.

Daoyang Li, Mingyu Jin, Qingcheng Zeng, Haiyan Zhao, Mengnan Du

CoRR, 2024

Exploring Concept Depth: How Large Language Models Acquire Knowledge at Different Layers?

Mingyu Jin, Qinkai Yu, Jingyuan Huang, Qingcheng Zeng, Zhenting Wang, Wenyue Hua, Haiyan Zhao, Kai Mei, Yanda Meng, Kaize Ding, Fan Yang, Mengnan Du, Yongfeng Zhang

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

Opening the Black Box of Large Language Models: Two Views on Holistic Interpretability.

Haiyan Zhao, Fan Yang, Himabindu Lakkaraju, Mengnan Du

CoRR, 2024

Mitigating Shortcuts in Language Models with Soft Label Encoding.

Zirui He, Huiqi Deng, Haiyan Zhao, Ninghao Liu, Mengnan Du

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

The Impact of Reasoning Step Length on Large Language Models.

Mingyu Jin, Qinkai Yu, Dong Shu, Haiyan Zhao, Wenyue Hua, Yanda Meng, Yongfeng Zhang, Mengnan Du

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