Search
131 resources
-
Gyeong-Geon Lee, Ehsan Latif, Xuansheng ...|Oct 15th, 2023|journalArticleGyeong-Geon Lee, Ehsan Latif, Xuansheng ...Oct 15th, 2023
This study investigates the application of large language models (LLMs), specifically GPT-3.5 and GPT-4, with Chain-of-Though (CoT) in the automatic scoring of student-written responses to science assessments. We focused on overcoming the challenges of accessibility, technical complexity, and lack of explainability that have previously limited the use of artificial intelligence-based automatic scoring tools among researchers and educators. With a testing dataset comprising six assessment...
-
Fengchun Miao, Wayne Holmes|Oct 15th, 2023|bookFengchun Miao, Wayne HolmesOct 15th, 2023
-
Ramon Pires, Hugo Abonizio, Thales Sales...|Oct 15th, 2023|preprintRamon Pires, Hugo Abonizio, Thales Sales...Oct 15th, 2023
As the capabilities of language models continue to advance, it is conceivable that "one-size-fits-all" model will remain as the main paradigm. For instance, given the vast number of languages worldwide, many of which are low-resource, the prevalent practice is to pretrain a single model on multiple languages. In this paper, we add to the growing body of evidence that challenges this practice, demonstrating that monolingual pretraining on the target language significantly improves models...
-
Ramon Pires, Hugo Abonizio, Thales Sales...|Oct 15th, 2023|preprintRamon Pires, Hugo Abonizio, Thales Sales...Oct 15th, 2023
As the capabilities of language models continue to advance, it is conceivable that "one-size-fits-all" model will remain as the main paradigm. For instance, given the vast number of languages worldwide, many of which are low-resource, the prevalent practice is to pretrain a single model on multiple languages. In this paper, we add to the growing body of evidence that challenges this practice, demonstrating that monolingual pretraining on the target language significantly improves models...
-
Shashank Sonkar, Naiming Liu, Debshila M...|Oct 15th, 2023|conferencePaperShashank Sonkar, Naiming Liu, Debshila M...Oct 15th, 2023
-
Valdemar Švábenský, Ryan S. Baker, André...|Oct 15th, 2023|conferencePaperValdemar Švábenský, Ryan S. Baker, André...Oct 15th, 2023
-
Jiaan Wang, Yunlong Liang, Fandong Meng,...|Oct 15th, 2023|journalArticleJiaan Wang, Yunlong Liang, Fandong Meng,...Oct 15th, 2023
Recently, the emergence of ChatGPT has attracted wide attention from the computational linguistics community. Many prior studies have shown that ChatGPT achieves remarkable performance on various NLP tasks in terms of automatic evaluation metrics. However, the ability of ChatGPT to serve as an evaluation metric is still underexplored. Considering assessing the quality of natural language generation (NLG) models is an arduous task and NLG metrics notoriously show their poor correlation with...
-
Kevin P. Yancey, Geoffrey Laflair, Antho...|Oct 15th, 2023|conferencePaperKevin P. Yancey, Geoffrey Laflair, Antho...Oct 15th, 2023
Essay scoring is a critical task used to evaluate second-language (L2) writing proficiency on high-stakes language assessments. While automated scoring approaches are mature and have been around for decades, human scoring is still considered the gold standard, despite its high costs and well-known issues such as human rater fatigue and bias. The recent introduction of large language models (LLMs) brings new opportunities for automated scoring. In this paper, we evaluate how well GPT-3.5 and...
-
Kevin P. Yancey, Geoffrey Laflair, Antho...|Oct 15th, 2023|conferencePaperKevin P. Yancey, Geoffrey Laflair, Antho...Oct 15th, 2023
Essay scoring is a critical task used to evaluate second-language (L2) writing proficiency on high-stakes language assessments. While automated scoring approaches are mature and have been around for decades, human scoring is still considered the gold standard, despite its high costs and well-known issues such as human rater fatigue and bias. The recent introduction of large language models (LLMs) brings new opportunities for automated scoring. In this paper, we evaluate how well GPT-3.5 and...
-
Shuyan Zhou, Uri Alon, Sumit Agarwal|Oct 15th, 2023|conferencePaperShuyan Zhou, Uri Alon, Sumit AgarwalOct 15th, 2023
-
Zihao Zhou, Maizhen Ning, Qiufeng Wang|Oct 15th, 2023|conferencePaperZihao Zhou, Maizhen Ning, Qiufeng WangOct 15th, 2023