269 resources

  • 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...

  • Ethan R. Mollick, Lilach Mollick
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    Mar 17th, 2023
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    preprint
    Ethan R. Mollick, Lilach Mollick
    Mar 17th, 2023

    This paper provides guidance for using AI to quickly and easily implement evidence-based teaching strategies that instructors can integrate into their teaching. We discuss five teaching strategies that have proven value but are hard to implement in practice due to time and effort constraints. We show how AI can help instructors create material that supports these strategies and improve student learning. The strategies include providing multiple examples and explanations; uncovering and...

  • 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...

  • 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...

  • 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...

  • Tamara Tate, Shayan Doroudi, Daniel Ritc...
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    Jan 10th, 2023
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    preprint
    Tamara Tate, Shayan Doroudi, Daniel Ritc...
    Jan 10th, 2023

    The public release and surprising capacity of ChatGPT has brought AI-enabled text generation into the forefront for educators and academics. ChatGPT and similar text generation tools raise numerous questions for educational practitioners, policymakers, and researchers. We begin by first describing what large language models are and how they function, and then situate them in the history of technology’s complex interrelationship with literacy, cognition, and education. Finally, we discuss implications for the field.

  • Jason Wei, Xuezhi Wang, Dale Schuurmans,...
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    Jan 10th, 2023
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    preprint
    Jason Wei, Xuezhi Wang, Dale Schuurmans,...
    Jan 10th, 2023

    We explore how generating a chain of thought -- a series of intermediate reasoning steps -- significantly improves the ability of large language models to perform complex reasoning. In particular, we show how such reasoning abilities emerge naturally in sufficiently large language models via a simple method called chain of thought prompting, where a few chain of thought demonstrations are provided as exemplars in prompting. Experiments on three large language models show that chain of...

  • Bodong Chen, Xinran Zhu, Fernando Díaz d...
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    Jan 1st, 2023
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    journalArticle
    Bodong Chen, Xinran Zhu, Fernando Díaz d...
    Jan 1st, 2023

    Generative artificial intelligence (GenAI) is penetrating in various social sectors, motivating a strong need for teaching AI literacy in younger generations. While substantial efforts have been made to teach AI literacy and to use AI to facilitate learning, few studies have provided empirical accounts of students' nuanced processes of using GenAI for learning. In this study, we engaged a group of high school students in leveraging ChatGPT to support their knowledge building efforts....

  • Peerawat Chomphooyod, Atiwong Suchato, N...
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    Jan 1st, 2023
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    journalArticle
    Peerawat Chomphooyod, Atiwong Suchato, N...
    Jan 1st, 2023

    English grammar multiple-choice questions (MCQs) can be automatically generated to reduce preparation time. Previous studies have focused on semiautomated methods based on the transformation of human-made sentences/articles into MCQs, owing to which the number of generated questions is dependent on the size of a given text corpus. This study proposes an artificial intelligence-assisted MCQ generation system that increases the number of generable questions using controllable text generation...

  • Partha Pratim Ray
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    Jan 1st, 2023
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    journalArticle
    Partha Pratim Ray
    Jan 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...

  • Jill Burstein, Kevin Yancey, Klinton Bic...
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    Dec 27th, 2023
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    document
    Jill Burstein, Kevin Yancey, Klinton Bic...
    Dec 27th, 2023
  • Eric C. K. Cheng, Tianchong Wang, Tim Sc...
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    Dec 27th, 2023
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    book
    Eric C. K. Cheng, Tianchong Wang, Tim Sc...
    Dec 27th, 2023
  • Sabina Elkins, Ekaterina Kochmar, Jackie...
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    Dec 27th, 2023
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    preprint
    Sabina Elkins, Ekaterina Kochmar, Jackie...
    Dec 27th, 2023

    Controllable text generation (CTG) by large language models has a huge potential to transform education for teachers and students alike. Specifically, high quality and diverse question generation can dramatically reduce the load on teachers and improve the quality of their educational content. Recent work in this domain has made progress with generation, but fails to show that real teachers judge the generated questions as sufficiently useful for the classroom setting; or if instead the...

  • Jinlan Fu, See-Kiong Ng, Zhengbao Jiang,...
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    Dec 27th, 2023
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    journalArticle
    Jinlan Fu, See-Kiong Ng, Zhengbao Jiang,...
    Dec 27th, 2023

    Generative Artificial Intelligence (AI) has enabled the development of sophisticated models that are capable of producing high-caliber text, images, and other outputs through the utilization of large pre-trained models. Nevertheless, assessing the quality of the generation is an even more arduous task than the generation itself, and this issue has not been given adequate consideration recently. This paper proposes a novel evaluation framework, GPTScore, which utilizes the emergent abilities...

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