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cs.LG2026
Loop Dropout: Regularizing Shared Updates in Looped Language Models
Zirui Zhu, Hailun Xu, Xuanlei Zhao +5
Looped language models separate computational depth from parameter count by repeatedly applying the same transformer block. Adapting these models requires a shared update that rema…
cs.LG2025
Info-Coevolution: An Efficient Framework for Data Model Coevolution
Ziheng Qin, Hailun Xu, Wei Chee Yew +6
Machine learning relies heavily on data, yet the continuous growth of real-world data poses challenges for efficient dataset construction and training. A fundamental yet unsolved q…