Publications

For full publication list, please go to my Google Scholar profile.

2025

DAM: Dynamic Attention Mask for Long-Context Large Language Model Inference Acceleration
H. Zhang, H. Fan, K. Sha, Y. Huang, and Y. Feng
Findings of the Annual Meeting of the Association for Computational Linguistics (ACL Findings), 2025.
[code]

D2SO: Detecting Distant and Small Objects for Vision-based Vehicle Autonomous Systems
H. Zhang, K. Sha, H. Fan, S. Fu, and Y. Feng
IEEE International Conference on Mobility: Operations, Services, and Technologies (IEEE MOST), 2025.

HALO: Hallucination Analysis and Learning Optimization to Empower LLMs with Retrieval-Augmented Context for Guided Clinical Decision Making
S. Anjum, H. Zhang, W. Zhou, E. J. Paek, X. Zhao, and Y. Feng
IEEE/ACM Conference on Connected Health: Applications, Systems and Engineering Technologies (IEEE/ACM CHASE), 2025.
[paper]

2024

Poly-FEVER: A Multilingual Fact Verification Benchmark for Hallucination Detection in Large Language Models
H. Zhang, S. Anjum, H. Fan, W. Zheng, Y. Huang, and Y. Feng
arXiv preprint arXiv:2503.16541, 2024.
[dataset]

ByteScience: Bridging Unstructured Scientific Literature and Structured Data with Auto Fine-tuned Large Language Model in Token Granularity
T. Xie, H. Zhang, S. Wang, Y. Wan, I. Razzak, C. Kit, W. Zhang, and B. Hoex
IEEE International Conference on Data Mining Workshops (IEEE ICDMW), 2024.