269 resources

  • Jun Ho Choi, Oliver Garrod, Paul Atherto...
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    Oct 4th, 2023
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    preprint
    Jun Ho Choi, Oliver Garrod, Paul Atherto...
    Oct 4th, 2023

    Education systems in developing countries have few resources to serve large, poor populations. How might generative AI integrate into classrooms? This paper introduces an AI chatbot designed to assist teachers in Sierra Leone with professional development to improve their instruction. We describe initial findings from early implementation across 122 schools and 193 teachers, and analyze its use with qualitative observations and by analyzing queries. Teachers use the system for lesson...

  • Jun Ho Choi, Oliver Garrod, Paul Atherto...
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    Oct 4th, 2023
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    preprint
    Jun Ho Choi, Oliver Garrod, Paul Atherto...
    Oct 4th, 2023

    Education systems in developing countries have few resources to serve large, poor populations. How might generative AI integrate into classrooms? This paper introduces an AI chatbot designed to assist teachers in Sierra Leone with professional development to improve their instruction. We describe initial findings from early implementation across 122 schools and 193 teachers, and analyze its use with qualitative observations and by analyzing queries. Teachers use the system for lesson...

  • Ted Zadouri, Ahmet Üstün, Arash Ahmadian...
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    Sep 11th, 2023
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    preprint
    Ted Zadouri, Ahmet Üstün, Arash Ahmadian...
    Sep 11th, 2023

    The Mixture of Experts (MoE) is a widely known neural architecture where an ensemble of specialized sub-models optimizes overall performance with a constant computational cost. However, conventional MoEs pose challenges at scale due to the need to store all experts in memory. In this paper, we push MoE to the limit. We propose extremely parameter-efficient MoE by uniquely combining MoE architecture with lightweight experts.Our MoE architecture outperforms standard parameter-efficient...

  • Griffin Adams, Alexander Fabbri, Faisal ...
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    Sep 8th, 2023
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    preprint
    Griffin Adams, Alexander Fabbri, Faisal ...
    Sep 8th, 2023

    Selecting the ``right'' amount of information to include in a summary is a difficult task. A good summary should be detailed and entity-centric without being overly dense and hard to follow. To better understand this tradeoff, we solicit increasingly dense GPT-4 summaries with what we refer to as a ``Chain of Density'' (CoD) prompt. Specifically, GPT-4 generates an initial entity-sparse summary before iteratively incorporating missing salient entities without increasing the length. Summaries...

  • Jacob Steiss, Tamara Tate, Steve Graham,...
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    Sep 7th, 2023
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    preprint
    Jacob Steiss, Tamara Tate, Steve Graham,...
    Sep 7th, 2023

    Offering students formative feedback on drafts of their writing is an effective way to facilitate writing development. This study examined the ability of generative AI (i.e., ChatGPT) to provide formative feedback on students’ compositions. We compared the quality of human and AI feedback by scoring the feedback each provided on secondary student essays (n=200) on five measures of feedback quality: the degree to which feedback (a) was criteria-based, (b) provided clear directions for...

  • Jacob Steiss, Tamara Tate, Steve Graham,...
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    Sep 7th, 2023
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    preprint
    Jacob Steiss, Tamara Tate, Steve Graham,...
    Sep 7th, 2023

    Offering students formative feedback on drafts of their writing is an effective way to facilitate writing development. This study examined the ability of generative AI (i.e., ChatGPT) to provide formative feedback on students’ compositions. We compared the quality of human and AI feedback by scoring the feedback each provided on secondary student essays (n=200) on five measures of feedback quality: the degree to which feedback (a) was criteria-based, (b) provided clear directions for...

  • Ekaterina Svikhnushina, Pearl Pu
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    Aug 25th, 2023
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    preprint
    Ekaterina Svikhnushina, Pearl Pu
    Aug 25th, 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...

  • Chi-Min Chan, Weize Chen, Yusheng Su
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    Aug 14th, 2023
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    preprint
    Chi-Min Chan, Weize Chen, Yusheng Su
    Aug 14th, 2023

    Text evaluation has historically posed significant challenges, often demanding substantial labor and time cost. With the emergence of large language models (LLMs), researchers have explored LLMs' potential as alternatives for human evaluation. While these single-agent-based approaches show promise, experimental results suggest that further advancements are needed to bridge the gap between their current effectiveness and human-level evaluation quality. Recognizing that best practices of human...

  • Aug 9th, 2023
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    blogPost
    Aug 9th, 2023

    Today the Biden-Harris Administration launched a two-year competition that uses AI to protect the U.S.'s most critical software.

  • Hunter McNichols, Wanyong Feng, Jaewook ...
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    Aug 6th, 2023
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    preprint
    Hunter McNichols, Wanyong Feng, Jaewook ...
    Aug 6th, 2023

    Multiple-choice questions (MCQs) are ubiquitous in almost all levels of education since they are easy to administer, grade, and are a reliable format in both assessments and practices. An important aspect of MCQs is the distractors, i.e., incorrect options that are designed to target specific misconceptions or insufficient knowledge among students. To date, the task of crafting high-quality distractors has largely remained a labor-intensive process for teachers and learning content...

  • Hunter McNichols, Wanyong Feng, Jaewook ...
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    Aug 6th, 2023
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    preprint
    Hunter McNichols, Wanyong Feng, Jaewook ...
    Aug 6th, 2023

    Multiple-choice questions (MCQs) are ubiquitous in almost all levels of education since they are easy to administer, grade, and are a reliable format in both assessments and practices. An important aspect of MCQs is the distractors, i.e., incorrect options that are designed to target specific misconceptions or insufficient knowledge among students. To date, the task of crafting high-quality distractors has largely remained a labor-intensive process for teachers and learning content...

  • Ajay Bandi, Pydi Venkata Satya Ramesh Ad...
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    Jul 31st, 2023
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    journalArticle
    Ajay Bandi, Pydi Venkata Satya Ramesh Ad...
    Jul 31st, 2023

    Generative artificial intelligence (AI) has emerged as a powerful technology with numerous applications in various domains. There is a need to identify the requirements and evaluation metrics for generative AI models designed for specific tasks. The purpose of the research aims to investigate the fundamental aspects of generative AI systems, including their requirements, models, input–output formats, and evaluation metrics. The study addresses key research questions and presents...

  • Lydia Cao, Chris Dede
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    Jul 28th, 2023
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    document
    Lydia Cao, Chris Dede
    Jul 28th, 2023

    Understanding the nature of generative AI is crucial for educators to navigate the evolving landscape of teaching and learning. In a new report from the Next Level Lab, Lydia Cao and Chris Dede reflect on the role of generative AI in learning and how this pushes us to reconceptualize our visions of effective education. Though...Continue Reading Navigating A World of Generative AI: Suggestions for Educators

  • Nicole M. Hutchins, Gautam Biswas
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    Jul 25th, 2023
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    journalArticle
    Nicole M. Hutchins, Gautam Biswas
    Jul 25th, 2023

    This paper provides an experience report on a co‐design approach with teachers to co‐create learning analytics‐based technology to support problem‐based learning in middle school science classrooms. We have mapped out a workflow for such applications and developed design narratives to investigate the implementation, modifications and temporal roles of the participants in the design process. Our results provide precedent knowledge on co‐designing with experienced and novice teachers and...

  • Hugo Touvron, Louis Martin, Kevin Stone,...
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    Jul 19th, 2023
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    preprint
    Hugo Touvron, Louis Martin, Kevin Stone,...
    Jul 19th, 2023

    In this work, we develop and release Llama 2, a collection of pretrained and fine-tuned large language models (LLMs) ranging in scale from 7 billion to 70 billion parameters. Our fine-tuned LLMs, called Llama 2-Chat, are optimized for dialogue use cases. Our models outperform open-source chat models on most benchmarks we tested, and based on our human evaluations for helpfulness and safety, may be a suitable substitute for closed-source models. We provide a detailed description of our...

  • Weixin Liang, Mert Yuksekgonul, Yining M...
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    Jul 10th, 2023
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    preprint
    Weixin Liang, Mert Yuksekgonul, Yining M...
    Jul 10th, 2023

    The rapid adoption of generative language models has brought about substantial advancements in digital communication, while simultaneously raising concerns regarding the potential misuse of AI-generated content. Although numerous detection methods have been proposed to differentiate between AI and human-generated content, the fairness and robustness of these detectors remain underexplored. In this study, we evaluate the performance of several widely-used GPT detectors using writing samples...

  • Shouvik Ahmed Antu, Haiyan Chen, Cindy K...
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    Jul 7th, 2023
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    conferencePaper
    Shouvik Ahmed Antu, Haiyan Chen, Cindy K...
    Jul 7th, 2023
  • Katie Bainbridge, Candace Walkington, Ar...
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    Jul 7th, 2023
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    conferencePaper
    Katie Bainbridge, Candace Walkington, Ar...
    Jul 7th, 2023
  • Matyáš Boháček, Steven Moore, John Stamp...
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    Jul 7th, 2023
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    conferencePaper
    Matyáš Boháček, Steven Moore, John Stamp...
    Jul 7th, 2023
  • Matyáš Boháček, Steven Moore, John Stamp...
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    Jul 7th, 2023
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    conferencePaper
    Matyáš Boháček, Steven Moore, John Stamp...
    Jul 7th, 2023
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