“‘GPT Non-Fiction’ Tag”,2019-12-28
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Bibliography for tag
ai/nn/transformer/gpt/non-fiction, most recent first: 46 annotations & 145 links (parent).
- See Also
- Gwern
- Links
- “Teachers Are Going All In on Generative AI: Surveys Suggest Teachers Use Generative AI More Than Students, to Create Lesson Plans or More Interesting Word Problems. Educators Say It Can save Valuable Time but Must Be Used Carefully”, 2023
- “SeeGULL: A Stereotype Benchmark With Broad Geo-Cultural Coverage Leveraging Generative Models”, et al 2023
- “AI Is Taking the Jobs of Kenyans Who Write Essays for US College Students: Ghostwriters Say the Meteoric Rise of ChatGPT Has Coincided With a Drop in Income”, 2023
- “Generative AI: Impact on Email Cyber-Attacks”, Dark2023
- “Do Large Language Models Understand Chemistry? A Conversation With ChatGPT”, 2023
- “Predicting Consumer Contracts [With GPT-3]”, 2023
- “Artificial Intelligence Can Persuade Humans on Political Issues”, et al 2023
- “ChatGPT Goes to Law School”, et al 2023
- “Large Language Models As Fiduciaries: A Case Study Toward Robustly Communicating With Artificial Intelligence Through Legal Standards”, 2023
- “Putting ChatGPT’s Medical Advice to the (Turing) Test”, Nov et al 2023
- “Is ChatGPT A Good Translator? A Preliminary Study”, et al 2023
- “How Close Is ChatGPT to Human Experts? Comparison Corpus, Evaluation, and Detection”, et al 2023
- “AI Insights into Theoretical Physics and the Swampland Program: A Journey Through the Cosmos With ChatGPT”, 2023
- “
#ReceptioGateand the (absolute) State of Academia: The Numbers Game Has Incentivized Bad Behavior”, 2023- “Comparing Scientific Abstracts Generated by ChatGPT to Original Abstracts Using an Artificial Intelligence Output Detector, Plagiarism Detector, and Blinded Human Reviewers”, et al 2022
- “Performance of ChatGPT on USMLE: Potential for AI-Assisted Medical Education Using Large Language Models”, et al 2022
- “Fill in the Blank: Context-Aware Automated Text Input Generation for Mobile GUI Testing”, et al 2022
- “Scaling Laws for Reward Model Overoptimization”, et al 2022
- “How Persuasive Is AI-Generated Argumentation? An Analysis of the Quality of an Argumentative Text Produced by the GPT-3 AI Text Generator”, 2022
- “Can Large Language Models Reason about Medical Questions?”, et al 2022
- “Forecasting Future World Events With Neural Networks”, et al 2022
- “Teaching Models to Express Their Uncertainty in Words”, et al 2022
- “On Form versus Meaning”, Aaronson & GPT-3 2022
- “How to Cheat on Your Final Paper: Assigning AI for Student Writing”, 2022
- “Formal Mathematics Statement Curriculum Learning”, et al 2022
- “Why Computers Don’t Need to Match Human Intelligence: With Continuing Advances in Machine Learning, It Makes Less and Less Sense to Compare AI to the Human Mind”, 2021
- “Spinning Language Models for Propaganda-As-A-Service”, 2021
- “MiniF2F: a Cross-System Benchmark for Formal Olympiad-Level Mathematics”, et al 2021
- “GPT-3 vs Water Cooler Trivia Participants: A Human vs Robot Showdown”, 2021
- “All the News That’s Fit to Fabricate: AI-Generated Text As a Tool of Media Misinformation”, et al 2020
- “The Radicalization Risks of GPT-3 and Advanced Neural Language Models”, 2020
- “Gary Marcus Has Co-Authored a Brief Critique of GPT-3”, 2020
- “Experiments Testing GPT-3’s Ability at Commonsense Reasoning: Results”, 2020
- “I Found That Getting GPT-3 to Add Its Own “Internal Monologue” in Parentheses to Be a Helpful Strategy…”, blixt 2020
- “Update: Upgrading to 1.5B GPT-2, and Adding 22 New Subreddit-Bots”, disumbrationist 2020
- “OTEANN: Estimating the Transparency of Orthographies With an Artificial Neural Network”, 2019
- “Deepfake Bot Submissions to Federal Public Comment Websites Cannot Be Distinguished from Human Submissions”, 2019
- “Testing The Limits of GROVER The Neural Fake News Detector. Can It Write Fiction? Can It Write Riddles?”, 2019
- “Sort By Controversial”, 2018
- “Evaluating Prose Style Transfer With the Bible”, et al 2017
- “Overview & Applications of Large Language Models (LLMs)”
- “An AI Does a CWT between Me and “Janet Yellen””
- “Results: The Computerized Philosopher: Can You Distinguish Daniel Dennett from a Computer?”
- “The Computerized Philosopher: Can You Distinguish Daniel Dennett from a Computer?”
- “Getting GPT-3 to Predict Metaculus Questions”
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