Accepted Papers

Over the past thirteen years, the large-scale biomedical semantic indexing and question-answering challenge (BioASQ) has consistently driven the advancement of methods and tools that enhance access to the rapidly growing body of scientific resources in the biomedical domain. BioASQ offers a unique c...

HIPE-2026 is a CLEF evaluation lab that focuses on person--place relation extraction from noisy, multilingual historical texts. Building on the previous HIPE campaigns in 2020 and 2022, this lab introduces a new task that targets semantic relations between persons and places. Specifically, systems a...

AI is increasingly central to understanding and managing biodiversity and ecosystems. Since 2011, the LifeCLEF lab has provided large-scale benchmarks that stimulate progress in multimodal species recognition, ecological prediction, and knowledge extraction. The 2026 edition expands this scope with ...

Quantum Computing (QC) is a research field that has been in the limelight in recent years. In fact, this new paradigm has the potential to revolutionize the way we currently solve problems by leveraging quantum-mechanical phenomena, which allow quantum computers to solve specific problems more effic...

Large generative language models (LLMs) are a foundational technology for both research and information service development, and are used as a tool for solving challenging text analysis problems. The ELOQUENT lab develops shared tasks for experimenting with the resilience of large language models ap...

The paper gives a brief overview of the four shared tasks organized in the PAN 2026 lab on digital text forensics and stylometry to be hosted at CLEF 2026. The goal of the PAN lab is to advance the state-of-the-art in text forensics and stylometry through an objective evaluation of new and establish...

Since its foundation in 2017, the eRisk CLEF Lab has pioneered research in early risk detection on the Internet, focusing on mental health challenges such as depression, anorexia, and pathological gambling. Over the years, participants have contributed to the development of detection models and expl...

Since its inception in 2003, the various ImageCLEF challenges have provided large and complex datasets targeting a wide array of subjects in medicine, argumentation, reasoning, content recommendation, data generation, and question answering. In its 24th edition, ImageCLEF will have five main tasks: ...

Decision-making and opinion-forming are everyday tasks that involve weighing pro and con arguments. The goal of Touch¬_ is to foster the development of support-technologies for decision-making and opinion-forming and to improve our understanding of these processes. This seventh edition of the lab f...

The main objective of the CheckThat! lab is to advance the development of innovative technologies combating disinformation and manipulation efforts in online communication across a multitude of languages and platforms. Focusing on core tasks of the verification pipeline in earlier years, namely chec...