DIRECTED BY DR. MUHAMMAD ASIF ALI · ITU LAHORE
FORTE . Lab
Foundation Models, Reasoning, Trustworthy and Explainable AI
Building AI systems whose reasoning can be evaluated, explained, and improved.
Research opportunities ↓Our focus
FORTE Lab conducts research on foundation models, reasoning, trustworthy AI, and explainable AI. Its work covers solver-guided reasoning, reinforcement learning, preference optimization, knowledge editing, multilingual and multimodal AI, interpretability, and culturally aware AI.
The lab offers research opportunities for undergraduate, FYP, MS, and doctoral students interested in building AI systems whose reasoning can be evaluated, explained, and improved.
Explore the research themes →OPPORTUNITIES FOR STUDENTS
Bring your curiosity.
Dr. Ali welcomes enquiries from motivated undergraduate, FYP, MS, and doctoral students interested in large language models, reasoning, reinforcement learning, multilingual AI, and trustworthy AI.
Potential research directions
- Detecting and repairing reasoning drift in LLMs
- Adaptive test-time reasoning for LLMs
- LLM reasoning for formal theorem provers
- LLM reasoning for noisy mathematics
- LLM reasoning for logic problems
- Multilingual and multimodal knowledge editing
- Multilingual and multimodal LLM interpretability
- Solver-guided process supervision
- Culturally aware preference learning
GET IN TOUCH
Start a conversation.
Prospective students should prepare the following for their enquiry:
- A short introduction
- Your curriculum vitae
- Your academic transcript
- A brief description of your research interests
Use the contact information on Dr. Ali’s official ITU profile to send your enquiry.
Find contact details at ITU ↗