Yijie Jin

According to our database, Yijie Jin authored at least 6 papers between 2025 and 2026.

Collaborative distances:

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

2026

You Can't Fool Us: Understanding the Resilience of LLM-driven Agent Communities to Misinformation.

Chichen Lin, Yijie Jin, Kangbo Hu, Weijian Fan, Han Xiao, Yongbin Wang, Zhihui Ying, Zhanzhan Zhao

CoRR, May, 2026

LightningRL: Breaking the Accuracy-Parallelism Trade-off of Block-wise dLLMs via Reinforcement Learning.

Yanzhe Hu, Yijie Jin, Pengfei Liu, Kai Yu, Zhijie Deng

CoRR, March, 2026

2025

LoPA: Scaling dLLM Inference via Lookahead Parallel Decoding.

Chenkai Xu, Yijie Jin, Jiajun Li, Yi Tu, Guoping Long, Dandan Tu, Mingcong Song, Hongjie Si, Tianqi Hou, Junchi Yan, Zhijie Deng

CoRR, December, 2025

Diffusion LLMs Can Do Faster-Than-AR Inference via Discrete Diffusion Forcing.

Xu Wang, Chenkai Xu, Yijie Jin, Jiachun Jin, Hao Zhang, Zhijie Deng

CoRR, August, 2025

Parameterized Wasserstein gradient flow.

Yijie Jin, Shu Liu, Hao Wu, Xiaojing Ye, Haomin Zhou

J. Comput. Phys., 2025

Multimodal Transformers are Hierarchical Modal-wise Heterogeneous Graphs.

Yijie Jin, Junjie Peng, Xuanchao Lin, Haochen Yuan, Lan Wang, Cangzhi Zheng

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025