21 citations · 66 across the 14 of their papers we have counts for
3 papers · 1 filter
Learning and Enforcing Context-Sensitive Control for LLMs
Mohammad Albinhassan, Pranava Madhyastha, Mark Law +1
Controlling the output of Large Language Models (LLMs) through context-sensitive constraints has emerged as a promising approach to overcome the limitations of Context-Free Grammar…
Failure Detection in Chemical Processes Using Symbolic Machine Learning: A Case Study on Ethylene Oxidation
Julien Amblard, Niklas Groll, Matthew Tait +3
Over the past decade, Artificial Intelligence has significantly advanced, mostly driven by large-scale neural approaches. However, in the chemical process industry, where safety is…
Data-Dependent Goal Modeling for ML-Enabled Law Enforcement Systems
Dalal Alrajeh, Vesna Nowack, Patrick Benjamin +15
Investigating serious crimes is inherently complex and resource-constrained. Law enforcement agencies (LEAs) grapple with overwhelming volumes of offender and incident data, making…