We encourage submissions of high quality research papers on all topics related to patents. Topics of interest include Information Retrieval and Access, text mining, machine learning, large language models (LLMs) applied to patents, in particular, but not limited to:

• Representation learning
• Multi-modal retrieval and analysis
• Retrieval augmented generation (RAG)
• Application of LLMs
• Large language model pre-training and fine-tuning
• Explainability and interpretation
• Query expansion / rewriting
• Clustering and classification
• Recommendation
• IPC/CPC prediction
• Trend detection
• Entity extraction
• Linking semantic information
• Integrating external knowledge sources
• Patent landscaping
• Hot spot / White spot analysis
• Technology trend analysis
• Visual user interface concepts
• Metadata and citation analysis
• Evaluation, benchmarks, and metrics