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First comprehensive benchmark for Generative Engine Marketing (GEM), an emerging field that focuses on monetizing generative AI by seamlessly integrating advertisements into Large Language Model (LLM) responses. Our work addresses the core problem of ad-injected response (AIR) ge
pip install gembench
PyPI declares 16 unique dependency rules for this release. Environment markers are shown when supplied by the project.
>=1.0.0>=2.1.0==14.0.0==3.1.5==1.0.2gembench publishes 1 wheel and 0 source archives for version 1.0.9. Wheel platform tags: any.
Declared Python classifiers: 3.10, 3.11, 3.12, 3.8, 3.9.
PyPI lists 2 releases with files. The first dated release is ; 2 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .