The EARL Workshop on Evaluating and Applying Recommendation Systems with Large Language Models invites contributions that utilize LLMs to enhance and innovate within the realm of recommendation systems. We welcome submissions on a variety of topics, not limited to but including:
- Recommendation Models based on LLM
- Evaluation of LLM-based Recommendation
- Bias and Fairness of LLM-based Recommendation
- Conversational Recommendation with LLM
- Explainable and Interpretable LLM for Recommendation
- Real-world Application of LLM-based Recommendation
- Multimodal Recommendation with LLM
- Efficient LLM for Recommendation
- Personalized Generation with LLM
- LLM-based Agents for Recommendation
- Controllable LLM for Recommendation
- Privacy-aware LLM for Recommendation
- Cross-domain and Cross-platform Recommendations with LLM
- Multilingual and Cross-Lingual Recommendation with LLM
- LLM-based User Interface for Recommendation
Paper submission
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Authors are encouraged to submit contributions in one of the following formats.
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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.
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The review process will be double-blind.
Important Dates:
Call for Papers starts: April 28th, 2024
Paper submission deadline: August 30th, 2024
Reviewer deadline: September 11th, 2024
Author notification: September 13th, 2024
Camera-ready version deadline: September 20th, 2024