collaborators

6 papers

cs.CV2026

Visual prompt engineering for video models

Robert Geirhos, Yuxuan Li, Thaddäus Wiedemer +7

In the age of foundation models, a model is only as good as its prompt. For this reason, prompt engineering has become an essential technique for improving language model performan…

cs.CV2026

Physics-IQ Verified

Tim Rädsch, Yuki M Asano, Hilde Kuehne +4

Video generative models ( VGMs) have become a new frontier that can be used not just for video generation but for a multitude of downstream tasks, including world modeling. To adva…

cs.CV2026

AI-Generated Video Detection via Perceptual Straightening

Christian Internò, Robert Geirhos, Markus Olhofer +3

The rapid advancement of generative AI enables highly realistic synthetic videos, posing significant challenges for content authentication and raising urgent concerns about misuse.…

cs.CL2025

Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities

Gheorghe Comanici, Eric Bieber, Mike Schaekermann +3431

In this report, we introduce the Gemini 2.X model family: Gemini 2.5 Pro and Gemini 2.5 Flash, as well as our earlier Gemini 2.0 Flash and Flash-Lite models. Gemini 2.5 Pro is our…

cs.CL2025

Neologism Learning for Controllability and Self-Verbalization

John Hewitt, Oyvind Tafjord, Robert Geirhos +1

Humans invent new words when there is a rising demand for a new useful concept (e.g., doomscrolling). We explore and validate a similar idea in our communication with LLMs: introdu…

cs.LG2025

Video models are zero-shot learners and reasoners

Thaddäus Wiedemer, Yuxuan Li, Paul Vicol +6

The remarkable zero-shot capabilities of Large Language Models (LLMs) have propelled natural language processing from task-specific models to unified, generalist foundation models.…