FIRE 2026

We invite proposals for the Evaluation and Benchmarking Track at FIRE 2026.

FIRE 2026 is the 18th edition of the annual meeting of Forum for Information Retrieval Evaluation (fire.irsi.org.in). Since its inception in 2008, FIRE had a strong focus on shared tasks similar to those offered at Evaluation forums like TREC, CLEF, and NTCIR. The shared tasks should focus on solving specific problems in the area of information access and, more importantly, on generating high quality evaluation datasets for the research community. In line with this objective, this year the FIRE tracks emphasize selecting tasks that either introduce a new paradigm in the field or generate a substantial amount of valuable benchmark data that can support future research and experimentation.

It is not required for the tasks to focus on a specific language, and they can broadly cover any problem in the fields related (but not limited) to IR, NLP, multi-modal information access, and ML. However, the organizers especially encourage proposals for tracks related to South Asian, African, and Middle Eastern languages. In the past, FIRE has hosted tracks from Arabic, Persian, German, Russian, and Urdu languages besides several Indian languages. We aim to continue these efforts and include more language groups from these regions. For knowing more about tracks in past FIRE meetings, you can visit fire.irsi.org.in

Informal inquiries can also be sent to the track chairs.

Please include the following details in your proposal:

1. Track name
2. Track description
3. Use case/s
4. Target Audience and number of expected submissions
5. Data(*) (Fair Details)
6. Evaluation plan
7. Timeline: Please try to align with the FIRE conference dates as given below
8. Organizer/s Details
9. Prior experience in organizing shared task/workshop at relevant venues

Tentative Timeline

5th April, 2026	Track proposals due
24th April, 2026	Track acceptance notification
15th May, 2026	Open track websites and release of training data
15th June, 2026	Test data release
30th June, 2026	Run submission deadline
15th July, 2026	Track results declaration
30th August, 2026	Working notes due
30th September, 2026	Camera-ready copies of working notes and overview paper due
December, 2026 - Dates TBD	FIRE 2026 Conference

Please send these details in a pdf format to clia@isical.ac.in with a copy to majumdar.srijoni@gmail.com , kripa.ghosh@gmail.com and mandl@uni-hildesheim.de

(*) We require that after FIRE, the data should be made publicly available through Information Retrieval Society of India. In case, data can not be distributed publicly (e.g., Twitter data), a unique identifier that can be used to recreate the original corpus can be provided (e.g., tweet ids in case of Twitter data). This disbursal will be governed by a copyright form, which the users have to sign before getting the data. A sample form is available at ( fire.irsi.org.in/fire/static/data ).

In case, it is not preferable/possible for the track organizers to share the data, please mention this in the proposal with specific concerns. Exceptions can be made for tracks where data from industry is used or in case of other serious legal or ethical concerns.

The aim of organizing these tracks at FIRE is to have debates and discussions on focused topics and give feedback to participants. As a result, at least one of the track organizers from each track is expected to attend FIRE and present the overview of track in person. In case of non-attendance of any of the organizers, the team will not be allowed to offer a track next year.

We will try to provide student volunteers for support in the proposed tracks. They will basically be undergraduate students interested in IR and related fields and can help with corpus creation, evaluation, correspondence with participants, etc. If you require any such support, kindly mention that in the track proposals along with the number of students required.

Hoping to have an enthusiastic response from your end.

Overall Track Coordinators, FIRE 2026

Thomas Mandl (Universitat Hildesheim, Germany)
Kripabandhu Ghosh (IISER Kolkata, India)
Srijoni Majumdar (University of Leeds, UK)