4 papers
Reversing the Lens: Using Explainable AI to Understand Human Expertise
Roussel Rahman, Aashwin Ananda Mishra, Wan-Lin Hu
Both humans and machine learning models learn from experience, particularly in safety- and reliability-critical domains. While psychology seeks to understand human cognition, the f…
Socratic Questioning: Learn to Self-guide Multimodal Reasoning in the Wild
Wanpeng Hu, Haodi Liu, Lin Chen +4
Complex visual reasoning remains a key challenge today. Typically, the challenge is tackled using methodologies such as Chain of Thought (COT) and visual instruction tuning. Howeve…
Network Models of Expertise in the Complex Task of Operating Particle Accelerators
Roussel Rahman, Jane Shtalenkova, Aashwin Ananda Mishra +1
We implement a network-based approach to study expertise in a complex real-world task: operating particle accelerators. Most real-world tasks we learn and perform (e.g., driving ca…
Towards Unlocking Insights from Logbooks Using AI
Antonin Sulc, Alex Bien, Annika Eichler +15
Electronic logbooks contain valuable information about activities and events concerning their associated particle accelerator facilities. However, the highly technical nature of lo…