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 original research papers that contribute significantly to the fields of information retrieval (IR) and natural language processing (NLP). The event aims to foster discussions on innovative methodologies and findings in these domains.
Background & Relevance
Information retrieval is a critical area within computer science, focusing on the organization and retrieval of information from various sources. With the increasing reliance on digital data, advancements in IR and NLP are essential for improving user experiences and system efficiencies. The FIRE conference serves as a platform for researchers to present their work, share insights, and collaborate on emerging challenges in the field.
Key Details
- Conference Dates: December 17-20, 2025
- Location: Indian Institute of Technology (BHU), Varanasi, India
- Submission Deadline: September 18, 2025 (Extended)
- Paper Acceptance Notification: October 15, 2025
- Camera Ready Submission Deadline: November 5, 2025
- Submission Link: Microsoft CMT
- Publication: Accepted papers will be published in the ACM International Conference Proceedings Series (ICPS) and indexed in the ACM Digital Library.
Eligibility & Participation
The conference welcomes submissions from researchers, practitioners, and students who are engaged in IR and NLP. It targets those who have original, unpublished work to share with the community. Participants are encouraged to present their findings and engage in discussions that can lead to further advancements in the field.
Submission or Application Guidelines
- Prepare Your Paper: Ensure that your submission describes substantial, original, and unpublished work. Include concrete evaluations and analyses where applicable.
- Select the Appropriate Track: Choose between the regular paper track or the resource and demo paper track, each with distinct scopes and reviewing policies.
- Follow the Template: Use the ACM ICPS template for your submission, available here. Only PDF format is accepted.
- Submit via Microsoft CMT: Use the provided link to submit your paper, ensuring you select the correct conference track and paper type. Incorrect submissions may be desk rejected.
- Adhere to Reviewing Policies: Regular track submissions will be double-blind reviewed, while resource and demo papers will follow a single-blind policy.
Additional Context / Real-World Relevance
The FIRE conference plays a vital role in the ongoing development of IR and NLP technologies. As these fields evolve, the need for robust evaluation methods and innovative applications becomes increasingly important. Topics such as fairness, explainability, and multimodal systems are particularly relevant in today’s AI landscape, making this conference a significant event for researchers and practitioners alike.
Conclusion
FIRE 2025 offers a unique opportunity for scholars and professionals to contribute to the advancement of information retrieval and natural language processing. Interested participants are encouraged to prepare their submissions and engage with the community. For further inquiries, please reach out via the provided email addresses. Explore this opportunity to share your research and network with peers in the field.
Category: CFP & Deadlines
Tags: information-retrieval, nlp, acm, deep-learning, generative-models, fairness, trustworthiness, multimodal-ai
