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Research Collaborations

Pangram is the most reliable way to classify AI-generated text for your next research project. We here to support academic and corporate research to promote transparency around how and when AI is used. We’d love to collaborate.

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Collaborations

Past
Collaborations

AACR

Quantifying and Assessing the Use of Generative AI by Authors and Reviewers in the Cancer Research Field

Research examining the prevalence and impact of AI-generated content in cancer research publications and peer review processes.

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Chicago Booth

Artificial Writing and Automated Detection

Research that evaluates three leading commercial detectors including Pangram and introduces a framework for using AI detection software.

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UMass/Maryland

People who frequently use ChatGPT for writing tasks are accurate and robust detectors of AI-generated text

This study finds that people who frequently use LLMs for writing are better at detecting AI-generated text than even the best automated detectors, as they pick up on subtle cues like vocabulary and style that AI struggles to replicate.

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Salesforce + Microsoft

AI-Slop to AI-Polish? Aligning Language Models through Edit-Based Writing Rewards and Test-time Computation

Research on writing quality assessment and the potential for improving AI-generated writing by reducing idiosyncrasies.

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FAQ

Frequently Asked Questions

  • Notify us of submission or any other updates for your project. We're interested!
  • Write a short summary on how you used Pangram and its value in your study for us to publish and share.
  • Mention us on social media and press if applicable.

You'll receive 100,000 credits and additional credits can be purchased for $.0025 a query (50% off our developer plan). The credits expire in 3 months unless we agree to an extension.

  • 1 Credit = 1 query up to 1,000 words
  • Queries over 1,000 words are 1 credit per 1,000 words

We typically respond to requests within 24 hours.
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