OpenStellarTeam/UQABench

[KDD'25] UQABench: Evaluating User Embedding for Prompting LLMs in Personalized Question Answering [KDD 2025 Accepted (Oral) Paper] Overview The paper link: UQABench: Evaluating User Embedding for Prompting LLMs in Personalized Question Answering. Github: https://github.com/OpenStellarTeam/UQABench The source data (Kaggle): Kaggle Description The UQABench is a benchmark dataset for evaluating user embeddings in prompting LLMs for personalized question answering. The… See the full description on the dataset page: https://huggingface.co/datasets/OpenStellarTeam/UQABench.

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