Bo Chen

According to our database, Bo Chen authored at least 12 papers between 2024 and 2025.

Collaborative distances:

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

2025

Provable Failure of Language Models in Learning Majority Boolean Logic via Gradient Descent.

Bo Chen, Zhenmei Shi, Zhao Song, Jiahao Zhang

CoRR, April, 2025

Exploring the Limits of KV Cache Compression in Visual Autoregressive Transformers.

Bo Chen, Xiaoyu Li, Yekun Ke, Yingyu Liang, Zhenmei Shi, Zhao Song

CoRR, March, 2025

Force Matching with Relativistic Constraints: A Physics-Inspired Approach to Stable and Efficient Generative Modeling.

Yang Cao, Bo Chen, Xiaoyu Li, Yingyu Liang, Zhizhou Sha, Zhenmei Shi, Zhao Song, Mingda Wan

CoRR, February, 2025

High-Order Matching for One-Step Shortcut Diffusion Models.

Bo Chen, Chengyue Gong, Xiaoyu Li, Yingyu Liang, Zhizhou Sha, Zhenmei Shi, Zhao Song, Mingda Wan

CoRR, February, 2025

NRFlow: Towards Noise-Robust Generative Modeling via High-Order Mechanism.

Bo Chen, Chengyue Gong, Xiaoyu Li, Yingyu Liang, Zhizhou Sha, Zhenmei Shi, Zhao Song, Mingda Wan, Xugang Ye

Proceedings of the Conference on Uncertainty in Artificial Intelligence, 2025

Circuit Complexity Bounds for RoPE-based Transformer Architecture.

Bo Chen, Xiaoyu Li, Yingyu Liang, Jiangxuan Long, Zhenmei Shi, Zhao Song, Jiahao Zhang

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

HSR-Enhanced Sparse Attention Acceleration.

Bo Chen, Yingyu Liang, Zhizhou Sha, Zhenmei Shi, Zhao Song

Proceedings of the Conference on Parsimony and Learning, 2025

Bypassing the Exponential Dependency: Looped Transformers Efficiently Learn In-context by Multi-step Gradient Descent.

Bo Chen, Xiaoyu Li, Yingyu Liang, Zhenmei Shi, Zhao Song

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2025

Numerical Pruning for Efficient Autoregressive Models.

Xuan Shen, Zhao Song, Yufa Zhou, Bo Chen, Jing Liu, Ruiyi Zhang, Ryan A. Rossi, Hao Tan, Tong Yu, Xiang Chen, Yufan Zhou, Tong Sun, Pu Zhao, Yanzhi Wang, Jiuxiang Gu

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

LazyDiT: Lazy Learning for the Acceleration of Diffusion Transformers.

Xuan Shen, Zhao Song, Yufa Zhou, Bo Chen, Yanyu Li, Yifan Gong, Kai Zhang, Hao Tan, Jason Kuen, Henghui Ding, Zhihao Shu, Wei Niu, Pu Zhao, Yanzhi Wang, Jiuxiang Gu

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Numerical Pruning for Efficient Autoregressive Models.

Xuan Shen, Zhao Song, Yufa Zhou, Bo Chen, Jing Liu, Ruiyi Zhang, Ryan A. Rossi, Hao Tan, Tong Yu, Xiang Chen, Yufan Zhou, Tong Sun, Pu Zhao, Yanzhi Wang, Jiuxiang Gu

CoRR, 2024

Circuit Complexity Bounds for RoPE-based Transformer Architecture.

Bo Chen, Xiaoyu Li, Yingyu Liang, Jiangxuan Long, Zhenmei Shi, Zhao Song

CoRR, 2024