2 citations · 3 across the 7 of their papers we have counts for
4 papers · 1 filter
Compiling Learning Problems into Adaptation Programs for Language Models
Rebecca Ramnauth, Brian Scassellati
Model adaptation is typically governed by a fixed recipe, even though different update programs can produce substantially different behavioral outcomes. We introduce adaptation com…
Localized Adaptation Reveals Distinct Learning Signatures in Transformers
Rebecca Ramnauth, Brian Scassellati
Transformer adaptation is typically distributed across model depth, even when the intended change is narrow. We investigate how adaptation site shapes what a model learns, how well…
The Attentional White Bear Effect in Transformer Language Models
Rebecca Ramnauth, Brian Scassellati
Instruction-based suppression is widely used to prevent language models from generating prohibited content, yet it remains unclear whether suppression reduces internal representati…
Robotics-Inspired Guardrails for Foundation Models in Socially Sensitive Domains
Rebecca Ramnauth, Drazen Brscic, Brian Scassellati
Foundation models are increasingly deployed in socially sensitive domains such as education, mental health, and caregiving, where failures are often cumulative and context-dependen…