702 resources

  • Mike Perkins, Leon Furze, Jasper Roe
    |
    Oct 28th, 2023
    |
    journalArticle
    Mike Perkins, Leon Furze, Jasper Roe
    Oct 28th, 2023

    Recent developments in Generative Artificial Intelligence (GenAI) have created a paradigm shift in multiple areas of society, and the use of these technologies is likely to become a defining feature of education in coming decades. GenAI offers transformative pedagogical opportunities, while simultaneously posing ethical and academic challenges. Against this backdrop, we outline a practical, simple, and sufficiently comprehensive tool to allow for the integration of GenAI tools into...

  • Ramon Pires, Hugo Abonizio, Thales Sales...
    |
    Oct 28th, 2023
    |
    preprint
    Ramon Pires, Hugo Abonizio, Thales Sales...
    Oct 28th, 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 28th, 2023
    |
    preprint
    Ramon Pires, Hugo Abonizio, Thales Sales...
    Oct 28th, 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...

  • Partha Pratim Ray
    |
    Oct 28th, 2023
    |
    journalArticle
    Partha Pratim Ray
    Oct 28th, 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...

  • Shashank Sonkar, Naiming Liu, Debshila M...
    |
    Oct 28th, 2023
    |
    conferencePaper
    Shashank Sonkar, Naiming Liu, Debshila M...
    Oct 28th, 2023
  • Mirac Suzgun, Nathan Scales, Nathanael S...
    |
    Oct 28th, 2023
    |
    preprint
    Mirac Suzgun, Nathan Scales, Nathanael S...
    Oct 28th, 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...

  • Valdemar Švábenský, Ryan S. Baker, André...
    |
    Oct 28th, 2023
    |
    conferencePaper
    Valdemar Švábenský, Ryan S. Baker, André...
    Oct 28th, 2023
  • Ekaterina Svikhnushina, Pearl Pu
    |
    Oct 28th, 2023
    |
    preprint
    Ekaterina Svikhnushina, Pearl Pu
    Oct 28th, 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...

  • Yan Tao, Olga Viberg, Ryan S. Baker
    |
    Oct 28th, 2023
    |
    journalArticle
    Yan Tao, Olga Viberg, Ryan S. Baker
    Oct 28th, 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...

  • Jiaan Wang, Yunlong Liang, Fandong Meng,...
    |
    Oct 28th, 2023
    |
    journalArticle
    Jiaan Wang, Yunlong Liang, Fandong Meng,...
    Oct 28th, 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...

  • Scott Wood
    |
    Oct 28th, 2023
    |
    report
    Scott Wood
    Oct 28th, 2023
  • Kevin P. Yancey, Geoffrey Laflair, Antho...
    |
    Oct 28th, 2023
    |
    conferencePaper
    Kevin P. Yancey, Geoffrey Laflair, Antho...
    Oct 28th, 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...

  • Eric Zelikman, Wanjing Anya Ma, Jasmine ...
    |
    Oct 28th, 2023
    |
    conferencePaper
    Eric Zelikman, Wanjing Anya Ma, Jasmine ...
    Oct 28th, 2023
  • Shuyan Zhou, Uri Alon, Sumit Agarwal
    |
    Oct 28th, 2023
    |
    conferencePaper
    Shuyan Zhou, Uri Alon, Sumit Agarwal
    Oct 28th, 2023
  • Zihao Zhou, Maizhen Ning, Qiufeng Wang
    |
    Oct 28th, 2023
    |
    conferencePaper
    Zihao Zhou, Maizhen Ning, Qiufeng Wang
    Oct 28th, 2023
  • EdArXiv
    |
    Dec 19th, 2022
    |
    report
    EdArXiv
    Dec 19th, 2022

    Predictive analytics methods in education are seeing widespread use and are producing increasingly accurate predictions of students’ outcomes. With the increased use of predictive analytics comes increasing concern about fairness for specific subgroups of the population. One approach that has been proposed to increase fairness is using demographic variables directly in models, as predictors. In this paper we explore issues of fairness in the use of demographic variables as predictors of...

  • Zhiying Jiang, Matthew Y. R. Yang, Mikha...
    |
    Dec 19th, 2022
    |
    preprint
    Zhiying Jiang, Matthew Y. R. Yang, Mikha...
    Dec 19th, 2022

    Deep neural networks (DNNs) are often used for text classification tasks as they usually achieve high levels of accuracy. However, DNNs can be computationally intensive with billions of parameters and large amounts of labeled data, which can make them expensive to use, to optimize and to transfer to out-of-distribution (OOD) cases in practice. In this paper, we propose a non-parametric alternative to DNNs that's easy, light-weight and universal in text classification: a combination of a...

  • Fucheng Guo, Pengpeng Jian
    |
    Dec 18th, 2022
    |
    conferencePaper
    Fucheng Guo, Pengpeng Jian
    Dec 18th, 2022
  • Flavia Barsotti, Rüya Gökhan Koçer
    |
    Nov 30th, 2022
    |
    journalArticle
    Flavia Barsotti, Rüya Gökhan Koçer
    Nov 30th, 2022

    This paper presents an intuitive explanation about why and how Rawlsian Theory of Justice (Rawls in A theory of justice, Harvard University Press, Harvard, 1971) provides the foundations to a solution for algorithmic bias. The contribution of the paper is to discuss and show why Rawlsian ideas in their original form (e.g. the veil of ignorance, original position, and allowing inequalities that serve the worst-off) are relevant to operationalize fairness for algorithmic decision making. The...

  • Ruibin Zhao, Yipeng Zhuang, Di Zou
    |
    Nov 28th, 2022
    |
    journalArticle
    Ruibin Zhao, Yipeng Zhuang, Di Zou
    Nov 28th, 2022
Last update from database: 28/10/2025, 10:15 (UTC)
Powered by Zotero and Kerko.