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Found 4 papers, 2 papers with code
A Design Space for Intelligent and Interactive Writing Assistants
In our era of rapid technological advancement, the research landscape for writing assistants has become increasingly fragmented across various research communities.
The Impact of Quantization on the Robustness of Transformer-based Text Classifiers
In this paper, we explore the effect of quantization on the robustness of Transformer-based models.
Towards Modeling Learner Performance with Large Language Models
Recent work exploring the capabilities of pre-trained large language models (LLMs) has demonstrated their ability to act as general pattern machines by completing complex token sequences representing a wide array of tasks, including time-series prediction and robot control.
Unraveling Downstream Gender Bias from Large Language Models: A Study on AI Educational Writing Assistance
Our results demonstrate that there is no significant difference in gender bias between the resulting peer reviews of groups with and without LLM suggestions.
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