Overview
The 1st BESIDES Workshop, titled “Beyond Search Engines: Intelligent Knowledge Discovery From Scholarly Publications,” is set to take place virtually. This workshop aims to address the challenges posed by the increasing volume of scholarly publications and the limitations of traditional digital systems in providing comprehensive insights. By leveraging recent advancements in Generative Artificial Intelligence (GAI) and Large Language Models (LLMs), the workshop seeks to explore innovative solutions for knowledge discovery in scientific literature.
Background & Relevance
As the landscape of scholarly communication evolves, the complexity of managing and utilizing scientific texts has intensified. Traditional methods often fall short in delivering the depth of analysis required for effective knowledge extraction. The integration of GAI and LLMs presents an opportunity to automate the analysis, classification, and summarization of scholarly works, thus enhancing accessibility and understanding. This workshop is particularly relevant for researchers in computational linguistics, machine learning, and information retrieval, as it aims to foster collaboration and advance methodologies in this critical area.
Key Details
- Workshop Dates: December 15-19, 2025 (Virtual)
- Submission Deadline: November 21, 2025 (AOE, Extended)
- Notification of Acceptance: November 28, 2025 (AOE)
- Camera-Ready Version Due: December 5, 2025 (AOE)
- Workshop Website: BESIDES Workshop
- Submission Link: EasyChair Submission
Eligibility & Participation
The workshop invites contributions from researchers, practitioners, and scholars involved in fields such as information retrieval, natural language processing, and machine learning. It targets individuals and teams working on innovative approaches to knowledge discovery and those interested in the societal impact of scholarly communication.
Submission or Application Guidelines
Participants are encouraged to submit papers that present novel methodologies, datasets, or tools related to knowledge discovery in scholarly publications. Submissions should focus on areas such as:
– Large Language Models for categorizing scholarly publications
– Information extraction and document understanding
– Summarization and generation techniques
– Bibliometrics and the impact of scholarly communication
– Research integrity and reproducibility challenges posed by generative AI
Additional Context / Real-World Relevance
The workshop’s focus on intelligent knowledge discovery is crucial in today’s research environment, where the volume of publications continues to rise. By addressing the challenges of information retrieval and bibliometrics, the workshop aims to enhance the understanding and application of scientific knowledge, ultimately contributing to more effective scholarly communication.
Conclusion
The 1st BESIDES Workshop presents a unique opportunity for researchers to engage with cutting-edge developments in knowledge discovery from scholarly publications. Interested participants are encouraged to submit their work and contribute to this important dialogue in the AI/ML community.
Category: CFP & Deadlines
Tags: information retrieval, nlp, large language models, scholarly publications, text mining, generative ai, bibliometrics, scientometrics, research integrity, digital libraries
