4 papers
Uncovering the Limitations of Query Performance Prediction: Failures, Insights, and Implications for Selective Query Processing
Adrian-Gabriel Chifu, Sébastien Déjean, Josiane Mothe +3
Query Performance Prediction (QPP) estimates retrieval systems effectiveness for a given query, offering valuable insights for search effectiveness and query processing. Despite ex…
PQPP: A Joint Benchmark for Text-to-Image Prompt and Query Performance Prediction
Eduard Poesina, Adriana Valentina Costache, Adrian-Gabriel Chifu +2
Text-to-image generation has recently emerged as a viable alternative to text-to-image retrieval, driven by the visually impressive results of generative diffusion models. Although…
Can we predict QPP? An approach based on multivariate outliers
Adrian-Gabriel Chifu, Sébastien Déjean, Moncef Garouani +3
Query performance prediction (QPP) aims to forecast the effectiveness of a search engine across a range of queries and documents. While state-of-the-art predictors offer a certain…
Linguistic features for sentence difficulty prediction in ABSA
Adrian-Gabriel Chifu, Sébastien Fournier
One of the challenges of natural language understanding is to deal with the subjectivity of sentences, which may express opinions and emotions that add layers of complexity and nua…