*Call for Participation in Tracks * *FIRE 2025: 17th meeting of the Forum for Information Retrieval Evaluation*

Indian Institute of Technology (BHU) Varanasi 17th - 20th December Website: fire.irsi.org.in http://fire.irsi.org.in/

*Call for Participation in Tracks*

FIRE 2025 offers the following exciting tracks this year:

* Cross-Lingual Mathematical Information Retrieval (CLMIR) https://clmir2025.github.io/ * Code-Mixed Information Retrieval from Social Media Data (CMIR) https://cmir-iitbhu.github.io/cmir/index.html * Hate Speech and Offensive Content Identification in Memes in Bengali, Hindi, Gujarati and Bodo (HASOC-meme) https://hasocfire.github.io/hasoc/2025/ * Information Retrieval in Software Engineering (IRSE) https://sites.google.com/view/irse-2025/home * Misinformation Detection and Prompt Recovery (PROMID) https://promid.github.io/index.html * Multilingual Story Illustration: Bridging Cultures through AI Artistry (MUSIA) https://cse-iitbhu.github.io/MUSIA/index.html * Offensive Language Identification in Dravidian Languages (DravidianCodeMix) https://dravidian-codemix.github.io/2025/dataset.html * Opinion Extraction and Question Answering from CryptoCurrency-Related Tweets and Reddit posts (CryptOQA) https://sites.google.com/view/cryptoqa-2025/ * Research Highlight Generation from Scientific Papers (SciHigh) https://sites.google.com/jadavpuruniversity.in/scihigh2025/home * Spoken-Query Cross-Lingual Information Retrieval for the Indic Languages (SqCLIR) https://sites.google.com/view/sqclir-2025 * Varanasi Tourism in Question Answer System (VATIKA) https://sites.google.com/view/vatika-2025/ * Word-Level Identification of Languages in Dravidian Languages (WILD) https://www.codabench.org/competitions/7902/

Research groups are invited to participate in the experiments. Please register directly with the organizers.

FIRE 2025 is the 17th 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 focus on solving specific problems in the area information access and, more importantly help in generating evaluation datasets for the research community.

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