Query performance prediction (QPP), a.k.a. query difficulty prediction, is a key task in information retrieval (IR).
QPP has been studied for decades in the IR community.
The task of QPP is defined as estimating search effectiveness without human relevance judgments.
We are excited to announce the QPP++ 2025 workshop, titled "Query Performance Prediction and its Applications in the Era of Large Language Models," which is co-located with on the 47th European Conference on Information Retrieval (ECIR 2025), from 6th to 10th April 2025 in Lucca, Italy.
In this workshop, we aim to bring together researchers and practitioners from academia and industry to discuss new perspectives on QPP in the era of large language models (LLMs).
QPP++ 2025 is the continuation of the QPP++ 2023 workshop held in ECIR 2023.
Given the rapid advancement of LLMs, we present examples of topics we encourage authors to explore in this workshop:
Beyond the above aspects, we also welcome submissions on other QPP-related aspects. There is a need for deeper exploration in other QPP-related areas, including, but not limited to, the following: QPP for conversational search, recommendation systems, question answering, and fairness. We aim to stimulate discussions on these topics.
We welcome manuscripts about any QPP-related subjects. We welcome a diverse range of submission types:
Note that submissions be written in English.
For original papers, double submission is not allowed except for papers already on ArXiv.
The papers (.pdf format) should be submitted using the EasyChair submission system at https://easychair.org/conferences/?conf=qpp2025.
The paper template can be found at https://ceur-ws.org/HOWTOSUBMIT.html.
The review process is single-blind. Each manuscript will be peer-reviewed by at least three programme committee (PC) members.
Authors of accepted papers will be invited to give oral presentations at the workshop.
The accepted papers will be published in the CEUR-WS.org proceedings series.
Since the proceedings only accept papers with a minimum of 4 pages, we will combine 1-page abstract submissions into one or more papers for publication.
The best papers submitted to the QPP++ 2025 workshop will be invited for an extension on the TOIS Special Issue on "Query Performance Prediction Towards Novel Information Retrieval Paradigms" . The authors of the best papers are invited to implement suggestions and comments provided by the other participants to the workshop and submit an extended version of their work that will be published on the Transactions on Information Systems (TOIS).
To facilitate workshop discussions, we encourage (though it is not mandatory) authors to use common, publicly available benchmarks. This will help authors share their experimental experiences and insights more effectively. We also plan to set a discussion session for sharing experience on common datasets.
We also recommend open-source implementations of QPP methods:
QPP++ 2025 is a full-day workshop, which will be held on the last day on ECIR 2025 (10th April 2025) at the IMT School for Advanced Studies Lucca.