Call for Papers

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.

Topics of Interest

We welcome original research contributions on, but not limited to, the following topics:

• 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
• 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

Submission Guidelines

All submissions must be original and not under consideration elsewhere. Papers must follow the CEUR-WS.org formatting guidelines, using the official LaTeX or Word templates, available at CEUR-WS Submission Guidelines.

• Full Papers: Up to 10 pages
• Short/Demo Papers: Up to 4 pages

The review process is double-blind, and papers will be evaluated based on relevance, technical quality, and diversity.

Submission Portal

Submit your papers via EasyChair: EasyChair Submission Link

Important Dates

Abstract Submission Deadline: May 19, 2025

Full Paper Submission Deadline: May 26, 2025 (Anywhere on Earth, AOE)