AI Research
Benchmarking the Personalization Capabilities of Large Language Models
Personalization, the act of varying a message to induce action from a specific receiver while keeping sender, channel, and time fixed, has a long tradition in psychology and marketing as a two-party problem in which sender and receiver have independent objectives. Large language ...
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ArXiv CS.AI
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ArXiv CS.AI
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This research benchmarks large language models' ability to personalize messages for specific audiences, moving beyond sender-focused adaptation to a true two-party persuasion problem. The findings reveal a current plateau in LLM personalization capabilities, even for leading models, highlighting a significant gap in their effectiveness for real-world applications like sales.
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