2 citations · 11 across the 17 of their papers we have counts for
4 papers · 1 filter
Reasoning Bias of Next Token Prediction Training
Pengxiao Lin, Zhongwang Zhang, Zhi-Qin John Xu
Since the inception of Large Language Models (LLMs), the quest to efficiently train them for superior reasoning capabilities has been a pivotal challenge. The dominant training par…
An Analysis for Reasoning Bias of Language Models with Small Initialization
Junjie Yao, Zhongwang Zhang, Zhi-Qin John Xu
Transformer-based Large Language Models (LLMs) have revolutionized Natural Language Processing by demonstrating exceptional performance across diverse tasks. This study investigate…
Complexity Control Facilitates Reasoning-Based Compositional Generalization in Transformers
Zhongwang Zhang, Pengxiao Lin, Zhiwei Wang +2
Transformers have demonstrated impressive capabilities across various tasks, yet their performance on compositional problems remains a subject of debate. In this study, we investig…
Anchor function: a type of benchmark functions for studying language models
Zhongwang Zhang, Zhiwei Wang, Junjie Yao +4
Understanding transformer-based language models is becoming increasingly crucial, particularly as they play pivotal roles in advancing towards artificial general intelligence. Howe…