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Author:
GemBench Team(Silan Hu, Shiqi Zhang, Yimin Shi, Xiaokui Xiao)
Summary:
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) generation and provides a framework for its evaluation.
Latest version:
1.0.9
Required dependencies:
aiolimiter
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cachetools
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diskcache
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matplotlib
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nltk
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numpy
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openai
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openpyxl
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pandas
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pyfiglet
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python-dotenv
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rich
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scikit-learn
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sentence-transformers
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tenacity
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tiktoken
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