702 resources

  • Yi Zheng, Steven Nydick, Sijia Huang
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    Apr 12th, 2023
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    conferencePaper
    Yi Zheng, Steven Nydick, Sijia Huang
    Apr 12th, 2023

    The recent surge of machine learning (ML) has impacted many disciplines, including educational and psychological measurement (hereafter shortened as measurement, “M”). The measurement literature has seen a rapid growth in studies that explore using ML methods to solve measurement problems. However, there exist gaps between the typical paradigm of ML and fundamental principles of measurement. The MxML project was created to explore how the measurement community might potentially redefine the...

  • Ameet Deshpande, Vishvak Murahari, Tanma...
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    Apr 11th, 2023
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    preprint
    Ameet Deshpande, Vishvak Murahari, Tanma...
    Apr 11th, 2023

    Large language models (LLMs) have shown incredible capabilities and transcended the natural language processing (NLP) community, with adoption throughout many services like healthcare, therapy, education, and customer service. Since users include people with critical information needs like students or patients engaging with chatbots, the safety of these systems is of prime importance. Therefore, a clear understanding of the capabilities and limitations of LLMs is necessary. To this end, we...

  • Ummugul Bezirhan, Matthias von Davier
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    Apr 10th, 2023
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    preprint
    Ummugul Bezirhan, Matthias von Davier
    Apr 10th, 2023

    The widespread usage of computer-based assessments and individualized learning platforms has resulted in an increased demand for the rapid production of high-quality items. Automated item generation (AIG), the process of using item models to generate new items with the help of computer technology, was proposed to reduce reliance on human subject experts at each step of the process. AIG has been used in test development for some time. Still, the use of machine learning algorithms has...

  • Jacob Krive, Miriam Isola, Linda Chang
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    Apr 6th, 2023
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    journalArticle
    Jacob Krive, Miriam Isola, Linda Chang
    Apr 6th, 2023

    Abstract Background In a recent survey, medical students expressed eagerness to acquire competencies in the use of artificial intelligence (AI) in medicine. It is time that undergraduate medical education takes the lead in helping students develop these competencies. We propose a solution that integrates competency-driven AI instruction in medical school curriculum. Methods We applied...

  • Yen Vo, Heather Rickels, Catherine Welch...
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    Apr 29th, 2023
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    journalArticle
    Yen Vo, Heather Rickels, Catherine Welch...
    Apr 29th, 2023
  • Shibani Santurkar, Esin Durmus, Faisal L...
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    Mar 30th, 2023
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    preprint
    Shibani Santurkar, Esin Durmus, Faisal L...
    Mar 30th, 2023

    Language models (LMs) are increasingly being used in open-ended contexts, where the opinions reflected by LMs in response to subjective queries can have a profound impact, both on user satisfaction, as well as shaping the views of society at large. In this work, we put forth a quantitative framework to investigate the opinions reflected by LMs -- by leveraging high-quality public opinion polls and their associated human responses. Using this framework, we create OpinionsQA, a new dataset for...

  • Robert Harris
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    Mar 29th, 2023
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    webpage
    Robert Harris
    Mar 29th, 2023

    The UK released a whitepaper detailing a pro-innovation approach to AI regulation. Here are the potential impacts for banks

  • Feiwen Xiao, Priscilla Zhao, Hanyue Sha,...
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    Mar 28th, 2023
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    journalArticle
    Feiwen Xiao, Priscilla Zhao, Hanyue Sha,...
    Mar 28th, 2023

    Due to advances in technology, conversational agents are emerging as intelligent spoken dialogue systems that simulate natural conversation with human beings. A growing body of literature has investigated the potential of conversational agents in enhancing language learning across multiple contexts. In this paper, a broad scoping review examining the current literature on conversational agents and language learning was conducted. This review mapped APA PsycINFO, ERIC and ProQuest...

  • OpenAI
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    Mar 27th, 2023
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    preprint
    OpenAI
    Mar 27th, 2023

    We report the development of GPT-4, a large-scale, multimodal model which can accept image and text inputs and produce text outputs. While less capable than humans in many real-world scenarios, GPT-4 exhibits human-level performance on various professional and academic benchmarks, including passing a simulated bar exam with a score around the top 10% of test takers. GPT-4 is a Transformer-based model pre-trained to predict the next token in a document. The post-training alignment process...

  • Tyna Eloundou, Sam Manning, Pamela Mishk...
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    Mar 21st, 2023
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    preprint
    Tyna Eloundou, Sam Manning, Pamela Mishk...
    Mar 21st, 2023

    We investigate the potential implications of Generative Pre-trained Transformer (GPT) models and related technologies on the U.S. labor market. Using a new rubric, we assess occupations based on their correspondence with GPT capabilities, incorporating both human expertise and classifications from GPT-4. Our findings indicate that approximately 80% of the U.S. workforce could have at least 10% of their work tasks affected by the introduction of GPTs, while around 19% of workers may see at...

  • Sehrish Iqbal, Mladen Rakovic, Guanliang...
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    Mar 13th, 2023
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    conferencePaper
    Sehrish Iqbal, Mladen Rakovic, Guanliang...
    Mar 13th, 2023
  • Wemerson Marinho, Esteban Walter Clua, L...
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    Mar 13th, 2023
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    conferencePaper
    Wemerson Marinho, Esteban Walter Clua, L...
    Mar 13th, 2023
  • Tanya Nazaretsky, Jamie N. Mikeska, Beat...
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    Mar 13th, 2023
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    conferencePaper
    Tanya Nazaretsky, Jamie N. Mikeska, Beat...
    Mar 13th, 2023
  • Ziwei Ji, Nayeon Lee, Rita Frieske
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    Mar 3rd, 2023
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    journalArticle
    Ziwei Ji, Nayeon Lee, Rita Frieske
    Mar 3rd, 2023

    Natural Language Generation (NLG) has improved exponentially in recent years thanks to the development of sequence-to-sequence deep learning technologies such as Transformer-based language models. This advancement has led to more fluent and coherent NLG, leading to improved development in downstream tasks such as ve summarization, dialogue generation, and data-to-text generation. However, it is also apparent that deep learning based generation is prone to hallucinate unintended text, which...

  • Yejin Bang, Samuel Cahyawijaya, Nayeon L...
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    Feb 28th, 2023
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    preprint
    Yejin Bang, Samuel Cahyawijaya, Nayeon L...
    Feb 28th, 2023

    This paper proposes a framework for quantitatively evaluating interactive LLMs such as ChatGPT using publicly available data sets. We carry out an extensive technical evaluation of ChatGPT using 23 data sets covering 8 different common NLP application tasks. We evaluate the multitask, multilingual and multi-modal aspects of ChatGPT based on these data sets and a newly designed multimodal dataset. We find that ChatGPT outperforms LLMs with zero-shot learning on most tasks and even outperforms...

  • Molly Ruby
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    Feb 16th, 2023
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    webpage
    Molly Ruby
    Feb 16th, 2023

    A brief introduction to the intuition and methodology behind the chat bot you can’t stop hearing about.

  • Amanda Coston, Anna Kawakami, Haiyi Zhu,...
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    Feb 14th, 2023
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    preprint
    Amanda Coston, Anna Kawakami, Haiyi Zhu,...
    Feb 14th, 2023

    Recent research increasingly brings to question the appropriateness of using predictive tools in complex, real-world tasks. While a growing body of work has explored ways to improve value alignment in these tools, comparatively less work has centered concerns around the fundamental justifiability of using these tools. This work seeks to center validity considerations in deliberations around whether and how to build data-driven algorithms in high-stakes domains. Toward this end, we translate...

  • Zachary A. Pardos, Shreya Bhandari
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    Feb 14th, 2023
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    preprint
    Zachary A. Pardos, Shreya Bhandari
    Feb 14th, 2023

    Large Language Models (LLMs), such as ChatGPT, are quickly advancing AI to the frontiers of practical consumer use and leading industries to re-evaluate how they allocate resources for content production. Authoring of open educational resources and hint content within adaptive tutoring systems is labor intensive. Should LLMs like ChatGPT produce educational content on par with human-authored content, the implications would be significant for further scaling of computer tutoring system...

  • Wael Alharbi, Mohammad Mosiur Rahman
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    Feb 8th, 2023
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    journalArticle
    Wael Alharbi, Mohammad Mosiur Rahman
    Feb 8th, 2023

    Recent technological advances in artificial intelligence (AI) have paved the way for improved and in many cases the creation of entirely new and innovative, electronic writing tools. These writing support systems assist during and after the writing process making them indispensable to many writers in general and to students in particular who can get human-like sentence completion suggestions and text generation. Although the wide adoption of these tools by students has been faced with a...

  • Amanda Coston, Anna Kawakami, Haiyi Zhu,...
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    Feb 28th, 2023
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    preprint
    Amanda Coston, Anna Kawakami, Haiyi Zhu,...
    Feb 28th, 2023

    Recent research increasingly brings to question the appropriateness of using predictive tools in complex, real-world tasks. While a growing body of work has explored ways to improve value alignment in these tools, comparatively less work has centered concerns around the fundamental justifiability of using these tools. This work seeks to center validity considerations in deliberations around whether and how to build data-driven algorithms in high-stakes domains. Toward this end, we translate...

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