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.

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All submissions must be original and unpublished, and must not be under review elsewhere.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.

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
• 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: August 31, 2025 (Anywhere on Earth, AOE) via EasyChair

Notification of acceptance: September 15, 2025

Camera-ready papers due: September 27, 2025

Workshop date: October 25th, 2025