Hi there!

I am a Ph.D. student in Computer Engineering at Case Western Reserve University. I work on machine learning and large language models, with general interests in interpretability and trustworthy AI. I'm open to collaboration and research discussions. You can reach me at <xxl1514> at case.edu.

google scholar / github / 𝕏 / cv

🔥 News

  • 2025.08: Four papers have been accepted to EMNLP 2025 (2 main and 2 findings)

📝 Publications

[EMNLP'25
Main, Oral]
When Truthful Representations Flip Under Deceptive Instructions?
Xianxuan Long , Yao Fu, Runchao Li, Mu Sheng, Haotian Yu, Xiaotian Han, Pan Li
Conference on Empirical Methods in Natural Language Processing, 2025
[EMNLP'25
Main]
Quantized but Deceptive? A Multi-Dimensional Truthfulness Evaluation of Quantized LLMs
Yao Fu, Xianxuan Long, Runchao Li, Mu Sheng, Haotian Yu, Xiaotian Han, Pan Li
Conference on Empirical Methods in Natural Language Processing, 2025
[EMNLP'25
Findings]
Pruning Weights but Not Truth: Safeguarding Truthfulness While Pruning LLMs
Yao Fu, Runchao Li, Xianxuan Long, Haotian Yu, Xiaotian Han, Yu Yin, Pan Li
Conference on Empirical Methods in Natural Language Processing, 2025
[EMNLP'25
Findings]
FAEDKV: Infinite-Window Fourier Transform for Unbiased KV Cache Compression
Runchao Li, Yao Fu, Mu Sheng, Xianxuan Long, Haotian Yu, Pan Li
Conference on Empirical Methods in Natural Language Processing, 2025
[J-STARS'24] SASiamNet: Self-Adaptive Siamese Network for Change Detection of Remote Sensing Image
Xianxuan Long, Wei Zhuang, Min Xia, Kai Hu, Haifeng Lin
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2024