Overview
The 17th Annual Meeting of the Forum for Information Retrieval Evaluation (FIRE 2025) is set to take place from December 17 to 20, 2025, at the Indian Institute of Technology (BHU) in Varanasi, India. This in-person conference invites submissions of high-quality, original papers that contribute to the fields of Information Retrieval (IR) and Natural Language Processing (NLP). Researchers are encouraged to present both completed works and late-breaking results, making this a significant event for professionals in these domains.
Background & Relevance
Information Retrieval (IR) is a critical area within computer science, focusing on the organization and retrieval of information from large datasets. As data continues to grow exponentially, effective retrieval systems become increasingly vital for various applications, including search engines, recommendation systems, and data analysis tools. The FIRE conference serves as a platform for researchers to share advancements, discuss methodologies, and explore the implications of their findings in the context of real-world applications. This year’s conference emphasizes the importance of evaluation, user experience, and the integration of generative models in IR and NLP, highlighting the evolving landscape of these fields.
Key Details
- Conference Dates: December 17-20, 2025
- Location: Indian Institute of Technology (BHU), Varanasi, India
- Submission Deadline: August 31, 2025
- Acceptance Notification: October 15, 2025
- Camera Ready Submission: November 5, 2025
- Submission Link: FIRE 2025 Submission
- Topics of Interest:
- Search and Ranking
- Evaluation of IR Systems
- Generative Models for IR/NLP
- Explainability, Fairness, and Trust
- Multimodal and Crossmodal IR/Recsys Models
Eligibility & Participation
The conference targets researchers, practitioners, and students in the fields of information retrieval and natural language processing. Participants are encouraged to submit original, unpublished work that contributes to the ongoing discourse in these areas. The event aims to foster collaboration and knowledge sharing among experts and newcomers alike.
Submission or Application Guidelines
To submit a paper, authors must adhere to the following guidelines:
1. Papers should present substantial, original, and unpublished research.
2. Include concrete evaluation and analysis where applicable.
3. If a paper is under review elsewhere, this must be disclosed during submission.
4. Submissions must follow the ACM ICPS template, available here.
5. Only PDF format is accepted.
6. Authors must ensure their submissions are complete and correctly formatted to avoid desk rejection.
7. The conference features two tracks: Regular Papers and Resource and Demo Papers, each with specific submission requirements.
8. Double-blind reviewing policy applies to regular track submissions, meaning authors must not reveal their identities in their papers.
More Information
FIRE 2025 is positioned to address pressing issues in information retrieval, including the integration of generative models and the evaluation of user-centric systems. As AI and machine learning technologies continue to advance, understanding their implications for IR and NLP is crucial. This conference will provide insights into current trends, challenges, and future directions in these fields, making it a valuable opportunity for attendees.
Conclusion
Researchers and practitioners in the fields of information retrieval and natural language processing are encouraged to participate in FIRE 2025. This conference not only offers a platform for presenting innovative research but also facilitates networking and collaboration among experts. Interested individuals should prepare their submissions in accordance with the guidelines and mark their calendars for this important event.
Category: CFP & Deadlines
Tags: information retrieval, nlp, conference, machine learning, deep learning, evaluation metrics, generative models, multimodal ai, user experience, search algorithms, fairness in ai, acm
