most citedNumerical Pruning for Efficient Autoregressive Models

1 citations · 2 across the 5 of their papers we have counts for

collaborators

5 papers

cs.AI2025

Reasoning Like an Economist: Post-Training on Economic Problems Induces Strategic Generalization in LLMs

Yufa Zhou, Shaobo Wang, Xingyu Dong +7

Directly training Large Language Models (LLMs) for Multi-Agent Systems (MAS) remains challenging due to intricate reward modeling, dynamic agent interactions, and demanding general…

cs.CV2025

FastCar: Cache Attentive Replay for Fast Auto-Regressive Video Generation on the Edge

Xuan Shen, Weize Ma, Yufa Zhou +11

Auto-regressive (AR) models, initially successful in language generation, have recently shown promise in visual generation tasks due to their superior sampling efficiency. Unlike i…

cs.CV2025

DraftAttention: Fast Video Diffusion via Low-Resolution Attention Guidance

Xuan Shen, Chenxia Han, Yufa Zhou +7

Diffusion transformer-based video generation models (DiTs) have recently attracted widespread attention for their excellent generation quality. However, their computational cost re…

cs.LG20241 cited

Numerical Pruning for Efficient Autoregressive Models

Xuan Shen, Zhao Song, Yufa Zhou +12

Transformers have emerged as the leading architecture in deep learning, proving to be versatile and highly effective across diverse domains beyond language and image processing. Ho…

cs.LG2024

LazyDiT: Lazy Learning for the Acceleration of Diffusion Transformers

Xuan Shen, Zhao Song, Yufa Zhou +12

Diffusion Transformers have emerged as the preeminent models for a wide array of generative tasks, demonstrating superior performance and efficacy across various applications. The…