24 citations · 51 across the 11 of their papers we have counts for
5 papers · 1 filter
Using Large Language Models for Automated Grading of Student Writing about Science
Chris Impey, Matthew Wenger, Nikhil Garuda +2
Assessing writing in large classes for formal or informal learners presents a significant challenge. Consequently, most large classes, particularly in science, rely on objective as…
Data Contamination Report from the 2024 CONDA Shared Task
Oscar Sainz, Iker García-Ferrero, Alon Jacovi +25
The 1st Workshop on Data Contamination (CONDA 2024) focuses on all relevant aspects of data contamination in natural language processing, where data contamination is understood as…
Memorization in In-Context Learning
Shahriar Golchin, Mihai Surdeanu, Steven Bethard +2
In-context learning (ICL) has proven to be an effective strategy for improving the performance of large language models (LLMs) with no additional training. However, the exact mecha…
Grading Massive Open Online Courses Using Large Language Models
Shahriar Golchin, Nikhil Garuda, Christopher Impey +1
Massive open online courses (MOOCs) offer free education globally. Despite this democratization of learning, the massive enrollment in these courses makes it impractical for an ins…
Large Language Models As MOOCs Graders
Shahriar Golchin, Nikhil Garuda, Christopher Impey +1
Massive open online courses (MOOCs) unlock the doors to free education for anyone around the globe with access to a computer and the internet. Despite this democratization of learn…