7 citations · 7 across the 4 of their papers we have counts for
4 papers
Self-Awareness before Action: Mitigating Logical Inertia via Proactive Cognitive Awareness
Fulong Fan, Peilin Liu, Fengzhe Liu +2
Large language models perform well on many reasoning tasks, yet they often lack awareness of whether their current knowledge or reasoning state is complete. In non-interactive puzz…
Towards Scalable Automated Alignment of LLMs: A Survey
Boxi Cao, Keming Lu, Xinyu Lu +10
Alignment is the most critical step in building large language models (LLMs) that meet human needs. With the rapid development of LLMs gradually surpassing human capabilities, trad…
Influence of External Information on Large Language Models Mirrors Social Cognitive Patterns
Ning Bian, Hongyu Lin, Peilin Liu +5
Social cognitive theory explains how people learn and acquire knowledge through observing others. Recent years have witnessed the rapid development of large language models (LLMs),…
An Experimental Comparison Between Temporal Difference and Residual Gradient with Neural Network Approximation
Shuyu Yin, Tao Luo, Peilin Liu +1
Gradient descent or its variants are popular in training neural networks. However, in deep Q-learning with neural network approximation, a type of reinforcement learning, gradient…