Topic
AI Research
Chasing the Hallucinations: PwC report hallucinates product and government customers
Over the past year, a team of GPTZero investigators has used our Hallucination Check tool to uncover hallucinated citations in government reports, academic papers submitted to prestigious machine learning / artificial intelligence conferences like ICLR and NeurIPS, and research products from three of the big four consulting firms: Deloitte, Ernst & Young, and KPMG. This is the third in a series of investigations into reports containing hallucinated citations surfaced by an automated search pipel
Paul Esau, Om Ogale, Alex Cui
· 17 min read
How does GPTZero's Hallucination Check detector work: A technical report
Introduction Hallucinated citations are one of the most frustrating failure modes of Large Language Models (LLMs). While some "vibe citations" are easy for humans to spot, most seem plausible on first glance and require high levels of technical expertise or time-intensive research to identify. Additionally, the production of LLM-generated text (and vibe citations) has scaled explosively since 2022, outstripping the growth of human expertise and research capacity. This disparity has placed an un
Nazar Shmatko, Paul Esau
· 10 min read
GPTZero AI Detection Benchmarking: The Industry Standard in Accuracy, Transparency and Fairness
Overview Welcome to GPTZero’s standardized benchmarking page. Here you’ll find the results of a comprehensive evaluation of our AI detector across a variety of domains, LLMs, and languages. Evaluations are updated quarterly, and raw predictions are available for researchers interested in reproducing results. One of the goals of this post is raise the standard for transparency across the entire AI detection industry. We believe that greater transparency will both increase the rigor and credibi
Alex Adam, Alex Cui
· 11 min read
GPTZero Tops Accuracy on Chicago Booth Benchmark in 2026
GPTZero outperforms other AI detectors like Pangram on Chicago Booth Benchmark, achieving ~99% accuracy and industry-leading recall for AI detection.
Emily Napier, Alex Adam, Adele Barlow, Alex Cui
· 4 min read
GPTZero is Officially The Most Accurate Commercial AI Detector
GPTZero confirms its title as the most accurate commercial AI detector, outperforming competitors on the massive independent RAID benchmark.
Alex Adam, Alex Cui, Edward Tian
· 3 min read
Does AI Accelerate Thinking Skills or Atrophy Them?
A growing body of literature shows that if we don't use our critical thinking skills, we lose them.
Alex Cui
· 2 min read
DeepSeek versus AI Detectors
GPTZero expands its AI detection coverage of LLMs to DeepSeek’s open-source reasoning model that made waves in the AI industry.
Alex Adam, Vivienne Chen
· 3 min read
GPTZero 2025 Benchmarks: How we detect ChatGPT o1
GPTZero expands its AI detection coverage of LLMs to OpenAI’s latest reasoning models; see our internal benchmarking on how we compare to other AI detectors.
Alex Adam, Edwin Thomas, Vivienne Chen
· 5 min read
GPTZero Detects AI Paraphrasers
Learn more about GPTZero’s newest advancements in AI detection against AI bypassers, humanizers, and paraphrasers like Phrasly, Undetectable, and Quillbot
Edwin Thomas, Alex Adam, Alex Cui
· 4 min read
10 Phrases Most Overused by AI
Uncover the most frequent words that generative AI tools like ChatGPT overuse, so you can avoid sounding like a bot.
Vivienne Chen
· 4 min read
GPTZero at NAACL 2024: Key Takeaways and Highlights From Our Talks
Every year, the North American Chapter of the Association for Computational Linguistics (NAACL) conference is one of the most important gatherings in the computational and scientific communities. This year’s conference covered exciting topics like large language models (LLMs) and indigenous languages, LLMs and education, robotics, and neuroscience, to name a few. Alex Adam from our ML team and our advisor Dr. Dongwon Lee spoke at the conference this year. If you missed 2024’s NAACL, here are so
Faizan Mehdi
· 5 min read
Understanding AI Detection Results with Deep Analysis
The GPTZero team is committed to machine learning interpretability as a core aspect of our mission of preserving human value. In a significant step towards this goal, we released our Deep Analysis feature this week for premium users (shown in Figure 1). Users are able to activate this feature by enabling the Deep Analysis switch on the dashboard when scanning a document. This view provides a novel perspective into how our models reason about a given document to determine whether or not it was
GPTZero Team
· 4 min read
ESL Bias in AI Detection is an Outdated Narrative
Recently, we've seen the resurfacing of a previous narrative on (social) media that AI identification is biased against and failing ESL students. But this is an outmoded view from out-of-date research. In this article, we revisit the original study on ESL bias from Stanford University, and discuss the progress GPTZero has made in mitigating detection bias. Finally we replicate and re-run the original study with the same dataset and parameters outlined by Stanford researchers to demonstrate conc
Alex Adam, Alex Cui
· 4 min read
The Next Generation of Turing Tests
On Friday, September 15, the GPTZero research team ran a human study with more than fifty AI researchers from the University of Toronto Vector AI Institute and affiliate groups. The results were conclusive that even the researchers most familiar with AI language models are unable to discern patterns of AI writing without GPTZero assistance. The study started with members of the GPTZero machine learning team attending the Vector Institute for AI career fair, alongside a variety of companies pitc
Alex Adam
· 4 min read
Discussing AI Policy with the UK Royal Society
On July 6th, 2023, a remarkable gathering of minds occurred under the banner of the UK Royal Society. A collection of academic and industry experts in artificial intelligence convened for a policy roundtable, to explore complex topics in AI development and potential government action in the UK. Among the participants was GPTZero, adding a unique perspective on AI regulation and adoption. The event started with opening remarks from Andrew Blake, former lab director of Microsoft Research, and mac
Edward Tian
· 2 min read