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214 resources
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Ramon Pires, Hugo Abonizio, Thales Sales...|Dec 1st, 2023|preprintRamon Pires, Hugo Abonizio, Thales Sales...Dec 1st, 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...|Dec 1st, 2023|preprintRamon Pires, Hugo Abonizio, Thales Sales...Dec 1st, 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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Partha Pratim Ray|Dec 1st, 2023|journalArticlePartha Pratim RayDec 1st, 2023
In recent years, artificial intelligence (AI) and machine learning have been transforming the landscape of scientific research. Out of which, the chatbot technology has experienced tremendous advancements in recent years, especially with ChatGPT emerging as a notable AI language model. This comprehensive review delves into the background, applications, key challenges, and future directions of ChatGPT. We begin by exploring its origins, development, and underlying technology, before examining...
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Shashank Sonkar, Naiming Liu, Debshila M...|Dec 1st, 2023|conferencePaperShashank Sonkar, Naiming Liu, Debshila M...Dec 1st, 2023
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Mirac Suzgun, Nathan Scales, Nathanael S...|Dec 1st, 2023|preprintMirac Suzgun, Nathan Scales, Nathanael S...Dec 1st, 2023
BIG-Bench (Srivastava et al., 2022) is a diverse evaluation suite that focuses on tasks believed to be beyond the capabilities of current language models. Language models have already made good progress on this benchmark, with the best model in the BIG-Bench paper outperforming average reported human-rater results on 65% of the BIG-Bench tasks via few-shot prompting. But on what tasks do language models fall short of average human-rater performance, and are those tasks actually unsolvable by...
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Valdemar Švábenský, Ryan S. Baker, André...|Dec 1st, 2023|conferencePaperValdemar Švábenský, Ryan S. Baker, André...Dec 1st, 2023
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Ekaterina Svikhnushina, Pearl Pu|Dec 1st, 2023|preprintEkaterina Svikhnushina, Pearl PuDec 1st, 2023
As conversational models become increasingly available to the general public, users are engaging with this technology in social interactions. Such unprecedented interaction experiences may pose considerable social and psychological risks to the users unless the technology is properly controlled. This highlights the need for scalable and robust evaluation metrics for conversational chatbots. Existing evaluation metrics aim to automate offline user evaluation and approximate human judgment of...
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Yan Tao, Olga Viberg, Ryan S. Baker|Dec 1st, 2023|journalArticleYan Tao, Olga Viberg, Ryan S. BakerDec 1st, 2023
Culture fundamentally shapes people's reasoning, behavior, and communication. Generative artificial intelligence (AI) technologies may cause a shift towards a dominant culture. As people increasingly use AI to expedite and even automate various professional and personal tasks, cultural values embedded in AI models may bias authentic expression. We audit large language models for cultural bias, comparing their responses to nationally representative survey data, and evaluate country-specific...
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Jiaan Wang, Yunlong Liang, Fandong Meng,...|Dec 1st, 2023|journalArticleJiaan Wang, Yunlong Liang, Fandong Meng,...Dec 1st, 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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Scott Wood|Dec 1st, 2023|reportScott WoodDec 1st, 2023
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Kevin P. Yancey, Geoffrey Laflair, Antho...|Dec 1st, 2023|conferencePaperKevin P. Yancey, Geoffrey Laflair, Antho...Dec 1st, 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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Eric Zelikman, Wanjing Anya Ma, Jasmine ...|Dec 1st, 2023|conferencePaperEric Zelikman, Wanjing Anya Ma, Jasmine ...Dec 1st, 2023
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Shuyan Zhou, Uri Alon, Sumit Agarwal|Dec 1st, 2023|conferencePaperShuyan Zhou, Uri Alon, Sumit AgarwalDec 1st, 2023
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Zihao Zhou, Maizhen Ning, Qiufeng Wang|Dec 1st, 2023|conferencePaperZihao Zhou, Maizhen Ning, Qiufeng WangDec 1st, 2023