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cs.CL2025
A Survey of Retentive Network
Haiqi Yang, Zhiyuan Li, Yi Chang +1
Retentive Network (RetNet) represents a significant advancement in neural network architecture, offering an efficient alternative to the Transformer. While Transformers rely on sel…
cs.CL2025
THINK-Bench: Evaluating Thinking Efficiency and Chain-of-Thought Quality of Large Reasoning Models
Zhiyuan Li, Yi Chang, Yuan Wu
Large reasoning models (LRMs) have achieved impressive performance in complex tasks, often outperforming conventional large language models (LLMs). However, the prevalent issue of…
cs.CL2025
A Survey of RWKV
Zhiyuan Li, Tingyu Xia, Yi Chang +1
The Receptance Weighted Key Value (RWKV) model offers a novel alternative to the Transformer architecture, merging the benefits of recurrent and attention-based systems. Unlike con…