Florian Hoppe — accepted AI-conference papers

2026

Controllable and explainable personality sliders for LLMs at inference time

Florian Hoppe, David Khachaturov, Robert Mullins, Mark Huasong Meng

ICML 2026poster

Aligning Large Language Models (LLMs) with specific personas typically relies on Supervised Fine-Tuning (SFT) or Reinforcement Learning from Human Feedback (RLHF); however, these methods are resource-intensive, requiring expensive data collection and distinct model training for each target personali…

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2017

The "Something Something" Video Database for Learning and Evaluating Visual Common Sense

Raghav Goyal, Samira Ebrahimi Kahou, Vincent Michalski, Joanna Materzynska, Susanne Westphal, Heuna Kim +8

ICCV 2017poster

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 about complex scenes and situations, and from integrating visual knowledge with natural language, like humans do, is their l…

Cited by 1878 PDF ↗Scholar ↗