1 citations · 1 across the 5 of their papers we have counts for
5 papers
Implicit In-Context Learning: Evidence from Artificial Language Experiments
Xiaomeng Ma, Qihui Xu
Humans acquire language through implicit learning, absorbing complex patterns without explicit awareness. While LLMs demonstrate impressive linguistic capabilities, it remains uncl…
DiM-Gesture: Co-Speech Gesture Generation with Adaptive Layer Normalization Mamba-2 framework
Fan Zhang, Naye Ji, Fuxing Gao +9
Speech-driven gesture generation is an emerging domain within virtual human creation, where current methods predominantly utilize Transformer-based architectures that necessitate e…
ToMChallenges: A Principle-Guided Dataset and Diverse Evaluation Tasks for Exploring Theory of Mind
Xiaomeng Ma, Lingyu Gao, Qihui Xu
Theory of Mind (ToM), the capacity to comprehend the mental states of distinct individuals, is essential for numerous practical applications. With the development of large language…
Evaluating Transformer Models and Human Behaviors on Chinese Character Naming
Xiaomeng Ma, Lingyu Gao
Neural network models have been proposed to explain the grapheme-phoneme mapping process in humans for many alphabet languages. These models not only successfully learned the corre…
How do we get there? Evaluating transformer neural networks as cognitive models for English past tense inflection
Xiaomeng Ma, Lingyu Gao
There is an ongoing debate on whether neural networks can grasp the quasi-regularities in languages like humans. In a typical quasi-regularity task, English past tense inflections,…