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130 resources
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Fengchun Miao, Wayne Holmes|Mar 14th, 2023|bookFengchun Miao, Wayne HolmesMar 14th, 2023
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Ramon Pires, Hugo Abonizio, Thales Sales...|Mar 14th, 2023|preprintRamon Pires, Hugo Abonizio, Thales Sales...Mar 14th, 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...
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Ramon Pires, Hugo Abonizio, Thales Sales...|Mar 14th, 2023|preprintRamon Pires, Hugo Abonizio, Thales Sales...Mar 14th, 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...
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Shashank Sonkar, Naiming Liu, Debshila M...|Mar 14th, 2023|conferencePaperShashank Sonkar, Naiming Liu, Debshila M...Mar 14th, 2023
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Valdemar Švábenský, Ryan S. Baker, André...|Mar 14th, 2023|conferencePaperValdemar Švábenský, Ryan S. Baker, André...Mar 14th, 2023
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Jiaan Wang, Yunlong Liang, Fandong Meng,...|Mar 14th, 2023|journalArticleJiaan Wang, Yunlong Liang, Fandong Meng,...Mar 14th, 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...
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Kevin P. Yancey, Geoffrey Laflair, Antho...|Mar 14th, 2023|conferencePaperKevin P. Yancey, Geoffrey Laflair, Antho...Mar 14th, 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...
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Kevin P. Yancey, Geoffrey Laflair, Antho...|Mar 14th, 2023|conferencePaperKevin P. Yancey, Geoffrey Laflair, Antho...Mar 14th, 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...
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Shuyan Zhou, Uri Alon, Sumit Agarwal|Mar 14th, 2023|conferencePaperShuyan Zhou, Uri Alon, Sumit AgarwalMar 14th, 2023
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Zihao Zhou, Maizhen Ning, Qiufeng Wang|Mar 14th, 2023|conferencePaperZihao Zhou, Maizhen Ning, Qiufeng WangMar 14th, 2023