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October 15, 2025Open Access

PersonaFeedback: A Large-scale Human-annotated Benchmark For Personalization

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PersonaFeedback assesses personalized responses in LLMs using explicit user personas, highlighting evaluation challenges.

The study introduces PersonaFeedback, a benchmark for LLM personalization with 8298 human-annotated cases.
Empirical evaluations reveal that even advanced LLMs struggle with hard personalization tasks, indicating limitations.
The benchmark emphasizes explicit user personas to evaluate LLM capabilities, contrasting with existing implicit models.
Comprehensive failure mode analysis suggests that the retrieval-augmented approach is not a definitive solution for personalization.

Tao et al. (2025) studied this question.

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October 15, 2025Open Access

View Full Paper

Ask AI

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Authors

PersonaFeedback assesses personalized responses in LLMs using explicit user personas, highlighting evaluation challenges.

The study introduces PersonaFeedback, a benchmark for LLM personalization with 8298 human-annotated cases.
Empirical evaluations reveal that even advanced LLMs struggle with hard personalization tasks, indicating limitations.
The benchmark emphasizes explicit user personas to evaluate LLM capabilities, contrasting with existing implicit models.
Comprehensive failure mode analysis suggests that the retrieval-augmented approach is not a definitive solution for personalization.

Tao et al. (2025) studied this question.

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