14 citations · 14 across the 2 of their papers we have counts for
3 papers
cs.CL2025
Controlling Thinking Speed in Reasoning Models
Zhengkai Lin, Zhihang Fu, Ze Chen +6
Human cognition is theorized to operate in two modes: fast, intuitive System 1 thinking and slow, deliberate System 2 thinking. While current Large Reasoning Models (LRMs) excel at…
cs.CL2024
Delving into the Reversal Curse: How Far Can Large Language Models Generalize?
Zhengkai Lin, Zhihang Fu, Kai Liu +6
While large language models (LLMs) showcase unprecedented capabilities, they also exhibit certain inherent limitations when facing seemingly trivial tasks. A prime example is the r…
cs.CL2024★ 14 cited
Model Compression and Efficient Inference for Large Language Models: A Survey
Wenxiao Wang, Wei Chen, Yicong Luo +6
Transformer based large language models have achieved tremendous success. However, the significant memory and computational costs incurred during the inference process make it chal…