CLEF 2025 Conference

The CLEF 2025 Conference, held from September 9 to 12, 2025, in Madrid, Spain, is the 16th edition of the Conference and Labs of the Evaluation Forum (CLEF). Organized by the National Distance Education University (UNED), this event continues CLEF's longstanding tradition of advancing the evaluation of information access systems through shared tasks and collaborative research. The conference serves as a platform for researchers and practitioners to present and discuss innovative methodologies in multilingual and multimodal information retrieval.

Key themes of CLEF 2025 include experimental information retrieval, multilinguality, multimodality, and interactive search. The conference featured peer-reviewed research papers, keynote talks, and lab sessions that addressed challenges in these areas. Notable sessions covered topics such as humor classification, sexism identification in social networks, and the robustness of misinformation classification systems. Additionally, lab overviews provided insights into various evaluation tasks, including species presence prediction, individual animal identification, and the detection of humor in machine-generated content.

In addition to the scientific program, CLEF 2025 offered social events to facilitate networking and community building among participants. The welcome reception at Casa Suecia provided an informal setting for attendees to connect and discuss their work. The conference also included poster sessions and opportunities for informal discussions, fostering collaboration and the exchange of ideas among researchers from diverse backgrounds.

CLEF 2025 was designed for researchers, practitioners, and students interested in the evaluation of information retrieval systems, particularly those focusing on multilingual and multimodal challenges. Attendees had the opportunity to engage with cutting-edge research, participate in hands-on lab sessions, and network with peers and experts in the field, making it a valuable event for anyone looking to advance their understanding and expertise in information access evaluation.