3 papers
cs.AI2026
Explaining Process Control Optimisation Recommendations via GradientSHAP and Implicit Differentiation
Paul Darm, Cem Alpturk, Kenneth Ulrich +3
Automated optimisation is increasingly adopted in industrial processes, yet a trust gap persists between engineers who design these algorithms and operators who must act on their r…
cs.AI2025
Inference-Time Intervention in Large Language Models for Reliable Requirement Verification
Paul Darm, James Xie, Annalisa Riccardi
Steering the behavior of Large Language Models (LLMs) remains a challenge, particularly in engineering applications where precision and reliability are critical. While fine-tuning…
cs.CL2025
Head-Specific Intervention Can Induce Misaligned AI Coordination in Large Language Models
Paul Darm, Annalisa Riccardi
Robust alignment guardrails for large language models (LLMs) are becoming increasingly important with their widespread application. In contrast to previous studies, we demonstrate…