[KDD'25] UQABench: Evaluating User Embedding for Prompting LLMs in Personalized Question Answering [KDD 2025 Accepted (Oral) Paper]
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
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.
