# CLEF 2026 - Call for Papers

CLEF 2026 Conference and Labs of the Evaluation Forum
Information Access Evaluation meets Multilinguality, Multimodality, and 
Visualization
21-24 September 2026, Jena, Germany

https://clef2026.clef-initiative.eu/calls/papers/


# Good to Know

The CLEF 2026 Conference welcomes papers in the Information Access domain that 
describe rigorous hypothesis testing regardless of whether the results are 
positive or negative. Each submission is reviewed in two stages, see details 
below.


# Aim and Scope

The CLEF Conference addresses all aspects of Information Access in any modality 
and language. CLEF consists of the presentation of research papers and a series 
of workshops presenting the results of lab-based comparative evaluation 
benchmarks.

CLEF 2026 is the 17th CLEF conference, continuing the popular CLEF campaigns 
that have run since 2000, contributing to the systematic evaluation of 
information access systems, primarily through experimentation on shared tasks.

The CLEF conference has a clear focus on experimental Information Access as 
carried out within evaluation forums (e.g., CLEF Labs, TREC, NTCIR, FIRE, 
MediaEval, RomIP, SemEval, and TAC) with special attention to the challenges of 
multimodality, multilinguality, and interactive search in different domains, 
also considering specific classes of users, such as children, students, or 
impaired users in different tasks (e.g., academic, professional, or everyday 
life).

We invite paper submissions on significant new insights demonstrated on 
information access test collections, on the analysis of test collections and 
evaluation measures, and on concrete proposals to push the boundaries of the 
Cranfield-style evaluation paradigm.

All submissions to the CLEF main conference will be reviewed on the basis of 
relevance, originality, importance, and clarity. CLEF welcomes papers that 
describe rigorous hypothesis testing regardless of whether the results are 
positive or negative. CLEF also welcomes past runs, results, data analyses, and 
new data collections. Methods are expected to be written so that they are 
reproducible by others, and the logic of the research design should be clearly 
described in the paper. Linking to additional resources, such as code or data 
repositories, is encouraged. The conference proceedings will be published in 
the Springer Lecture Notes in Computer Science (LNCS).


# Topics

Relevant topics for the CLEF 2026 Conference include, but are not limited to:

- Information access in any language or modality: information retrieval, 
question answering, recommender systems, image retrieval, search interfaces and 
design, infrastructures, etc.
- Interactive and conversational search evaluation: the 
interactive/conversational evaluation of retrieval-augmented generation 
systems, information retrieval systems using user-centered methods, evaluation 
of novel search interfaces, novel interactive/conversational evaluation 
methods, simulation of interaction/conversation, etc.
- Analytics for information access: theoretical and practical results in the 
analytics field specifically targeted at information access data analyses, data 
enrichment, etc.
- Reproducibility and replicability: analyses of past results/runs in depth.
- Fairness, Accountability, Transparency, Ethics, and Explainability (FATE) in 
information access.
- Language diversity in information access: work on low-resource languages.
- Models leveraging collaborative and social data, and their evaluation.
User studies, either based on lab studies or crowdsourcing.
- Evaluation initiatives: conclusions, lessons learned, impact, and projections 
of any evaluation initiative upon completing its cycle.
- Evaluation: methodologies, metrics, statistical and analytical tools, 
component-based evaluation, user groups and use cases, ground-truth creation, 
impact of multilingual/multicultural/multimodal differences, etc.
- Technology transfer: economic impact/sustainability of information access 
approaches, deployment and exploitation of systems, use cases, etc.
- Specific application domains: information access and its evaluation in 
application domains such as cultural heritage, digital libraries, social media, 
health information, legal documents, patents, news, books, and in the form of 
text, audio, and/or image data.
- New data collection: presentation of new data collections with potential high 
impact on future research, specific collections from companies or labs, and 
multilingual collections.
- Reflections on past achievements and future research directions, roadmaps, 
outlooks for future developments, and lessons learned.


# Format

Authors are invited to electronically submit original papers, which have not 
been published and are not under consideration elsewhere, using the LNCS 
proceedings format 
(http://www.springer.com/it/computer-science/lncs/conference-proceedings-guidelines)

Three categories of papers will be accepted:

- Long research papers: 12 pages plus references for complete research work
- Short research papers: 6 pages plus references for position/discussion 
papers, new evaluation proposals, developments and applications, etc.
- Past, Present, Future: Up to 12 pages for future directions and research 
roadmaps, reflections on past achievements, etc.

Papers should be anonymous. Sharing code and data with reviewers should be done 
via anonymous repositories (such as https://anonymous.4open.science/).


# Review Process for Research Papers

Research papers will be peer-reviewed by three members of the programme 
committee in two stages using a results-blind reviewing process. At the first 
stage, the members will review the paper's originality, clarity, technical & 
theoretical soundness, and methodology. At the second stage, the complete 
manuscripts that passed the first stage will be reviewed. At this stage, 
reviewers will also look at the reproducibility of the work. The final decision 
will not be based on whether results are positive or beat a baseline. 
Therefore, negative results and failed experiments are explicitly welcome. 

Authors of long and short papers are asked to submit TWO versions of their 
manuscript:

1. Methodology version (restricted): This version does NOT report anything 
related to the results of the study. At this stage, the manuscripts will be 
evaluated based on the importance of the problem addressed and the soundness of 
the methodology. Manuscripts can include an introduction, a description of the 
proposed methodology, and datasets used. However, there should be no section on 
results and discussion. The authors should also remove any mentions of results 
from the included sections (e.g., the abstract and introduction).
2. Experimental version (complete): The complete manuscript that contains all 
the sections of the paper, including the experiments and results.

The submission deadline for both versions is 15 May 2026.

Authors of Past, Present, Future papers are asked to submit to the “Past, 
Present, Future” track.

The submission deadline for the Past, Present, Future track is 15 May 2026.


# Paper Submission

Papers should be submitted in PDF format at 
https://easychair.org/conferences/?conf=clef2026 

- Submit the methodology/restricted version to the "Conference - Methodology 
Part" track.
- Submit the experimental/complete version to the "Conference - Experimental 
Part" track.
- Submit the Past, Present, Future papers to “Conference - Past, Present, 
Future” track. 
- Submit the best of CLEF 2025 Labs papers to the "Conference - Best of CLEF 
2025 Labs" track.


# Best Paper Award

A Best Paper Award will be given to one outstanding conference paper accepted 
to the conference. This award, sponsored by Springer LNCS, includes a 
certificate and a 500 EUR prize.


# Organisation

Programme Chairs
- Philipp Schaer, Technische Hochschule Köln, Germany
- Eva Zangerle, University of Innsbruck, Austria

Lab Chairs
- Sean MacAvaney, University of Glasgow, United Kingdom
- Julia Maria Struß, Fachhochschule Potsdam University of Applied Sciences, 
Germany

General Chairs
- Matthias Hagen, Friedrich-Schiller-Universität Jena, Germany
- Martin Potthast, University of Kassel, hessian.AI, ScaDS.AI, Germany
- Benno Stein, Bauhaus-Universität Weimar, Germany
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