GAIR Lab
The homepage of the Laboratory for Generative AI Solutions for Information Retrieval Applications (GAIR 🍀) at the School of Computing Science, University of Glasgow. GAIR-Lab is led by Prof. Joemon Jose.
GAIR Lab is committed to researching generative artificial intelligence solutions for multimedia tasks, including Information Retrieval (Reinforcement Learning based Recommendation, Large Language Model based Personalization, multi-modal recommendation, multi-modal retrieval, efficient multi-modal representation, etc.) and Social Media Analytics (multi-modal sentiment analysis, event detection from social streams, expression recognition, etc.), etc.
Our lab is actively seeking self-motivated Ph.D. students with a strong background in AI. If you’re interested, please don’t hesitate to reach out via email.
Latest News:
Our lab will organize EReL@MIR Workshop in WWW2025, the submissions are welcome!
The website link is at https://erel-mir.github.io/,
the submission link is https://easychair.org/conferences/?conf=erelmir2025.
Information Retrieval
We investigate intelligent solutions to information retrieval problems, including information retrieval/recommendations and multi-modal retrieval/recommendations.
Current Research themes
We focus on exploring generative AI solutions to various information problems, including:
- Reinforcement Learning based Recommendation, e.g., RLAIF, Multi-objective
- Large Language Model based Personalization
- Recommendation, with a special emphasis on Multimodal Recommendation
- Multimodal LLMs
- Image sentence retrieval
- Facial Action Units recognition
- Facial Expression detection
- Conflict Detection on social media
- Legal Prediction & Judgement Generation
Overall, our approach is centred around leveraging Large Language Models to address such research problems.
Our team
GAIR Lab is now recruiting self-motivated Ph.D. students with strong AI backgrounds.