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THU-BPM / MarkLLM

[EMNLP 2024 Demo] MarkLLM: An Open-Source Toolkit for LLM Watermarking

Why this job: works in the areas we cover, but does not say which job it does

What it does

  • Implementation Framework. MarkLLM provides a unified and extensible platform for the implementation of various LLM watermarking algorithms. It currently supports nine specific algorithms from two prominent families, facilitating the integra
  • Visualization Solutions. The toolkit includes custom visualization tools that enable clear and insightful views into how different watermarking algorithms operate under various scenarios. These visualizations help demystify the algorithms'
  • Evaluation Module. With 12 evaluation tools that cover detectability, robustness, and impact on text quality, MarkLLM stands out in its comprehensive approach to assessing watermarking technologies. It also features customizable automated e

Get started

No single install command. Read the steps in the README (opens in new tab)

Maintenance
Active
Last commit 2 months ago
Stars
1,093
+1 this week
Licence
Apache-2.0
Allows business use
Downloads for
None listed
No release files
Latest version
None yet
No releases
Built with
Python
94% of the code

Is it looked after?

Contributors
Not stated
Last 90 days
Issues
100% closed
0 still open
Pull requests
31 merged
1 waiting
Releases
None
Never published
  • No contributing guide
  • No security policy
  • No code of conduct

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More: languages, topics and project record

Languages

  • Python 94%
  • Jupyter Notebook 6%
  • Shell <1%
  • Cython <1%

Topics

  • llm
  • toolkit
  • watermark
  • large-language-models
  • safety
  • trustworthy-ai

Project record

  • JobOther AI tools
  • StatusListed
  • Commits185
  • Forks96
  • Watching13
  • Stars in 28 days+8
  • CreatedMay 16, 2024
  • First seen by usNov 7, 2026
  • CheckedNov 8, 2026

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