Quansen Wang

According to our database, Quansen Wang authored at least 9 papers between 2021 and 2025.

Collaborative distances:

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

2025

Causal Graph Guided Steering of LLM Values via Prompts and Sparse Autoencoders.

Yipeng Kang, Junqi Wang, Yexin Li, Fangwei Zhong, Xue Feng, Mengmeng Wang, Wenming Tu, Quansen Wang, Hengli Li, Zilong Zheng

CoRR, January, 2025

Inductive Effect-Aware Power Distribution Network Modeling and Analysis for Heterogeneous 3D Integrated Circuits.

Quansen Wang, Vasilis F. Pavlidis, Xuning Feng, Rui Wang, Wei Zhang, Yuanqing Cheng

Proceedings of the IEEE Computer Society Annual Symposium on VLSI, 2025

A Comprehensive Inductance-Aware Modeling Approach to Power Distribution Network in Heterogeneous 3D Integrated Circuits.

Quansen Wang, Vasilis F. Pavlidis, Yuanqing Cheng

Proceedings of the Design, Automation & Test in Europe Conference, 2025

ReflectEvo: Improving Meta Introspection of Small LLMs by Learning Self-Reflection.

Jiaqi Li, Xinyi Dong, Yang Liu, Zhizhuo Yang, Quansen Wang, Xiaobo Wang, Song-Chun Zhu, Zixia Jia, Zilong Zheng

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

Are the Values of LLMs Structurally Aligned with Humans? A Causal Perspective.

Yipeng Kang, Junqi Wang, Yexin Li, Mengmeng Wang, Wenming Tu, Quansen Wang, Hengli Li, Tingjun Wu, Xue Feng, Fangwei Zhong, Zilong Zheng

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

2024

Varying Sentence Representations via Condition-Specified Routers.

Ziyong Lin, Quansen Wang, Zixia Jia, Zilong Zheng

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Labels Need Prompts Too: Mask Matching for Natural Language Understanding Tasks.

Bo Li, Wei Ye, Quansen Wang, Wen Zhao, Shikun Zhang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Evaluating ChatGPT's Information Extraction Capabilities: An Assessment of Performance, Explainability, Calibration, and Faithfulness.

Bo Li, Gexiang Fang, Yang Yang, Quansen Wang, Wei Ye, Wen Zhao, Shikun Zhang

CoRR, 2023

2021

Learning From Other Labels: Leveraging Enhanced Mixup and Transfer Learning for Twitter Sentiment Analysis.

Quansen Wang

Proceedings of the 33rd IEEE International Conference on Tools with Artificial Intelligence, 2021