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Found 5 papers, 2 papers with code
Implicit In-Context Learning: Evidence from Artificial Language Experiments
Humans acquire language through implicit learning, absorbing complex patterns without explicit awareness.
Does Conceptual Representation Require Embodiment? Insights From Large Language Models
To what extent can language alone give rise to complex concepts, or is embodied experience essential?
ToMChallenges: A Principle-Guided Dataset and Diverse Evaluation Tasks for Exploring Theory of Mind
In addition, our paper wants to raise awareness in evaluating the ToM in LLMs and we want to invite more discussion on how to design the prompts and tasks for ToM tasks that can better assess the LLMs' ability.
MOGAN: Morphologic-structure-aware Generative Learning from a Single Image
For training for ROI, we propose to utilize the data coming from the original image being augmented and bring in a novel module to transform such augmented data into knowledge containing both structures and appearances, thus enhancing the model's comprehension of the sample.
