9 citations · 13 across the 3 of their papers we have counts for
3 papers
Controllable and explainable personality sliders for LLMs at inference time
Florian Hoppe, David Khachaturov, Robert Mullins +1
Aligning Large Language Models (LLMs) with specific personas typically relies on expensive and monolithic Supervised Fine-Tuning (SFT) or RLHF. While effective, these methods requi…
Identification of Model Uncertainty via Optimal Design of Experiments Applied to a Mechanical Press
Tristan Gally, Peter Groche, Florian Hoppe +5
In engineering applications almost all processes are described with the help of models. Especially forming machines heavily rely on mathematical models for control and condition mo…
The "something something" video database for learning and evaluating visual common sense
Raghav Goyal, Samira Ebrahimi Kahou, Vincent Michalski +11
Neural networks trained on datasets such as ImageNet have led to major advances in visual object classification. One obstacle that prevents networks from reasoning more deeply abou…