Related Topics:

The EARL Workshop welcomes submissions on (1) emerging techniques for LLM-based RSs (including retrieval-augmented generation, multi-modal recommendation, reinforcement learning with human feedback, scalable fine-tuning methods, dynamic prompting strategies, and personalized conversational agents), (2) real-world applications of existing LLMs, and (3) critical challenges in ensuring the trustworthiness and responsibility of LLM-driven RSs.

In detail, topics of interest include, but are not limited to, the following:

• Integrating LLMs to enhance RSs.
• Leveraging LLM-generated data to improve traditional RSs.
• LLM fine-tuning or prompt engineering techniques for RSs.
• Developing interactive and conversational RSs with LLMs.
• Integration of reinforcement learning with LLMs to adapt recommendations based on user feedback.
• Leveraging retrieval-augmented generation (RAG) to improve relevance and diversity in recommendations.
• Multi-modal RSs powered by LLMs, e.g., techniques integrating text, images, and audio data.
• Few-shot and zero-shot learning for LLM-based RSs.
• Personalization strategies for LLM-powered RSs, including dynamic user modeling and real-time adaptation.
• Cross-domain and cross-lingual RSs utilizing multilingual and generalist LLMs.
• Applications of LLM-enhanced RSs in domains such as finance, streaming platforms, and social networks.
• Scalability challenges in deploying LLM-powered RSs.
• Efficiency challenges in deploying LLM-powered RSs.
• Evaluation of LLM-powered RSs using novel metrics/standards.
• Evaluation of LLM-powered RSs using human feedback.
• Enhancing transparency in LLM-powered RSs.
• Enhancing fairness in LLM-powered RSs.
• Enhancing explainability in LLM-powered RSs.
• Trustworthy recommendation with LLMs, addressing bias, safety, privacy, and authenticity issues.
• Responsible AI practices in LLM-powered RSs, emphasizing ethical considerations and sustainable AI.

Paper submission

• Authors are encouraged to submit contributions in one of the following formats.

  • Long Papers: detail significant and enduring contributions (up to 10 pages, with extra pages permissible for references);
  • Short Papers: ideally suited for presenting new and promising work that hasn't yet reached the maturity required for a long paper (up to 5 pages, with the option to include additional pages for references).
  • Authors are required to submit manuscripts adhering to the ACM format: https://www.acm.org/publications/proceedings-template
  • Submission here: https://easychair.org/my/conference?conf=recsys2024workshops

• This workshop is non-archival, meaning that submissions will neither be indexed nor have formal proceedings.

  • Accepted papers will appear on the workshop website.
  • We welcome submissions that are currently under review at other venues, provided this does not breach the dual-submission or anonymity policies of those venues.

• The review process will be double-blind.

Important Dates:

• Call for Papers publication: April 25, 2025
• Paper submission deadline: July 10, 2025
• Reviewer deadline: July 31, 2025
• Author notification: August 6, 2025
• Camera-ready version deadline: August 20, 2025