Call for Papers
LLAIS Workshop at ECAI 2025
We invite researchers, practitioners, and industry experts to submit their work to the Workshop on LLM-Based Agents for Intelligent Systems (LLAIS) at ECAI 2025. This workshop explores the transformative role of LLM-based agents in advancing intelligent systems across various domains, including retrieval-augmented generation (RAG), knowledge graphs, information retrieval, software automation, reproducibility in research, and next-generation recommender systems.
Despite their rapid advancements, LLMs still have untapped potential in these areas. LLAIS provides a collaborative platform to discuss innovations, challenges, and future opportunities in designing, developing, and deploying intelligent agents powered by LLMs.
Submission Guidelines
Submit your paper via EasyChair: https://easychair.org/conferences/?conf=llais1
We welcome contributions aligned with the themes of the workshop. Two types of submissions are invited:
- Regular Papers These should present original research, a critical survey, or applications to real-world scenarios. Length: Up to 12 pages (excluding references and appendices), using the CEURART style format.
- Short Papers These can present early-stage ideas, novel concepts, or promising technologies, including preliminary results or prototypes.Length: Up to 6 pages (excluding references and appendices), using the CEURART style format.
Additional materials (e.g. demos, data, supplementary resources) can be uploaded as a ZIP archive via EasyChair.
All submissions must be original and unpublished, and must not be under review elsewhere.
The review process is double-blind, and papers will be evaluated based on originality, quality, and relevance to the workshop topics.
Accepted papers will be published in an open-access CEUR-WS volume.
At least one author must attend the workshop in person to present the work.
Where relevant, authors are encouraged to bring and demonstrate a working prototype.
List of Topics
LLAIS 2025 invites contributions that advance the understanding, development, and deployment of LLM-based agents across various dynamic, real-world domains. We are particularly interested in research and practical applications of LLM-based agents across the following key domains:
Relevant themes and topics include, but are not limited to, the following:
- Knowledge Graph Enhancement
- Automated Knowledge Graph Construction
- Enhanced Knowledge Graph Completion
- Improved Knowledge Graph Querying and Reasoning
- Developing Next-Generation Recommender Systems
- Enhanced User Understanding
- Creative Recommendation Generation
- Conversational and Interactive Recommendations
- Software and AI Integration
- Automating Key Development Processes, including:
- Code Generation, Automated Debugging, and Code Optimization
- Improving Code Quality and Maintainability
- Accelerating the Software Development Lifecycle
- Addressing the challenges of deploying and scaling AI-powered software applications
- Automating Key Development Processes, including:
- Revolutionizing Information Retrieval
- Enhancing Query Understanding
- Personalized Information Synthesis
- Advanced Ranking and Filtering
- Multimodal Information Retrieval
- Enhancing Reproducibility in Scientific Research
- Automating Experiment Tracking and Logging
- Enhancing Data Management and Sharing
- Developing Standardized Evaluation Benchmarks
- Improving Research Communication and Dissemination
- Advancing RAG Systems
- Improving Retrieval Efficiency and Accuracy
- Enhancing Contextual Understanding
- Improving Generation Quality
- Evaluation and Ethical Considerations
- Evaluating Effectiveness of LLM-based agents in different scenarios
- Addressing Ethical Challenges including Hallucination and Bias
Important Dates
Paper submission deadline: June 16, 2025 (Anywhere on Earth, AOE) via EasyChair
Notification of acceptance: July 25, 2025
Camera-ready papers due: September 25, 2025
Workshop date: TBA (October 25 or 26, 2025)
Contact
For any inquiries regarding submissions, please email:
Narjes Nikzad Khasmakhi