“‘GPT Non-Fiction’ Tag”,2019-12-28

Bibliography for tag ai/nn/transformer/gpt/non-fiction, most recent first: 46 annotations & 145 links (parent).

• See Also
• Gwern
  • “Nenex: A Neural Personal Wiki Idea”, Gwern2023
  • “GPT-3 Nonfiction”, Gwern2020
  • “Fake Journal Club: Teaching Critical Reading”, Gwern2022
• 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”, Johnson2023
  • “SeeGULL: A Stereotype Benchmark With Broad Geo-Cultural Coverage Leveraging Generative Models”, Jha 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”, Siele2023
  • “Generative AI: Impact on Email Cyber-Attacks”, DarkTrace2023
  • “Do Large Language Models Understand Chemistry? A Conversation With ChatGPT”, Nascimento & Pimentel2023
  • “Predicting Consumer Contracts [With GPT-3]”, Kolt2023
  • “Artificial Intelligence Can Persuade Humans on Political Issues”, Bai et al 2023
  • “ChatGPT Goes to Law School”, Choi et al 2023
  • “Large Language Models As Fiduciaries: A Case Study Toward Robustly Communicating With Artificial Intelligence Through Legal Standards”, Nay2023
  • “Putting ChatGPT’s Medical Advice to the (Turing) Test”, Nov et al 2023
  • “Is ChatGPT A Good Translator? A Preliminary Study”, Jiao et al 2023
  • “How Close Is ChatGPT to Human Experts? Comparison Corpus, Evaluation, and Detection”, Guo et al 2023
  • “AI Insights into Theoretical Physics and the Swampland Program: A Journey Through the Cosmos With ChatGPT”, Lehnert2023
  • “#ReceptioGate and the (absolute) State of Academia: The Numbers Game Has Incentivized Bad Behavior”, Gauthier2023
  • “Comparing Scientific Abstracts Generated by ChatGPT to Original Abstracts Using an Artificial Intelligence Output Detector, Plagiarism Detector, and Blinded Human Reviewers”, Gao et al 2022
  • “Performance of ChatGPT on USMLE: Potential for AI-Assisted Medical Education Using Large Language Models”, Kung et al 2022
  • “Fill in the Blank: Context-Aware Automated Text Input Generation for Mobile GUI Testing”, Liu et al 2022
  • “Scaling Laws for Reward Model Overoptimization”, Gao 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”, Hinton & Wagemans2022
  • “Can Large Language Models Reason about Medical Questions?”, Liévin et al 2022
  • “Forecasting Future World Events With Neural Networks”, Zou et al 2022
  • “Teaching Models to Express Their Uncertainty in Words”, Lin et al 2022
  • “On Form versus Meaning”, Aaronson & GPT-3 2022
  • “How to Cheat on Your Final Paper: Assigning AI for Student Writing”, Fyfe2022
  • “Formal Mathematics Statement Curriculum Learning”, Polu 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”, Lee2021
  • “Spinning Language Models for Propaganda-As-A-Service”, Bagdasaryan & Shmatikov2021
  • “MiniF2F: a Cross-System Benchmark for Formal Olympiad-Level Mathematics”, Zheng et al 2021
  • “GPT-3 vs Water Cooler Trivia Participants: A Human vs Robot Showdown”, Waldoch2021
  • “All the News That’s Fit to Fabricate: AI-Generated Text As a Tool of Media Misinformation”, Kreps et al 2020
  • “The Radicalization Risks of GPT-3 and Advanced Neural Language Models”, McGuffie & Newhouse2020
  • “Gary Marcus Has Co-Authored a Brief Critique of GPT-3”, Nostalgebraist2020
  • “Experiments Testing GPT-3’s Ability at Commonsense Reasoning: Results”, Marcus & Davis2020
  • “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”, Marjou2019
  • “Deepfake Bot Submissions to Federal Public Comment Websites Cannot Be Distinguished from Human Submissions”, Weiss2019
  • “Testing The Limits of GROVER The Neural Fake News Detector. Can It Write Fiction? Can It Write Riddles?”, Fly2019
  • “Sort By Controversial”, Alexander2018
  • “Evaluating Prose Style Transfer With the Bible”, Carlson 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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