184 citations · 489 across the 31 of their papers we have counts for
Showing cs.AIShow all
2 papers · 1 filter
cs.AI2026★ 7 cited
Concept Influence: Leveraging Interpretability to Improve Performance and Efficiency in Training Data Attribution
Matthew Kowal, Goncalo Paulo, Louis Jaburi +6
As large language models are increasingly trained and fine-tuned, practitioners need methods to identify which training data drive specific behaviors, particularly unintended ones.…
cs.AI2025
Benchmarking Deception Probes via Black-to-White Performance Boosts
Avi Parrack, Carlo Leonardo Attubato, Stefan Heimersheim
AI assistants will occasionally respond deceptively to user queries. Recently, linear classifiers (called "deception probes") have been trained to distinguish the internal activati…