activity
20192026
most citedCausal Parrots: Large Language Models May Talk Causality But Are Not Causal

27 citations · 95 across the 61 of their papers we have counts for

collaborators

64 papers

cs.RO2026

Driving, Fast or Slow? Neuro-Symbolic Guidance for Motion Prediction in Multi-Modal Ground Mobility

Simon Kohaut, Felix Divo, Julius Hahnewald +4

Accurate and interpretable motion prediction for heterogeneous traffic spaces, including pedestrians, bicycles, cars, and trucks, is essential for safe autonomous navigation. Never…

cs.RO2026

Right in Time: Reactive Reasoning in Regulated Traffic Spaces

Simon Kohaut, Benedict Flade, Julian Eggert +2

Exact inference in probabilistic First-Order Logic offers a promising yet computationally costly approach for regulating the behavior of autonomous agents in shared traffic spaces.…

cs.LG2026

No More Maybe-Arrows: Resolving Causal Uncertainty by Breaking Symmetries

Tingrui Huang, Devendra Singh Dhami

The recent works on causal discovery have followed a similar trend of learning partial ancestral graphs (PAGs) since observational data constrain the true causal directed acyclic g…

cs.AI2026

Reactive Knowledge Representation and Asynchronous Reasoning

Simon Kohaut, Benedict Flade, Julian Eggert +2

Exact inference in complex probabilistic models often incurs prohibitive computational costs. This challenge is particularly acute for autonomous agents in dynamic environments tha…

cs.CV2025

CycliST: A Video Language Model Benchmark for Reasoning on Cyclical State Transitions

Simon Kohaut, Daniel Ochs, Shun Zhang +4

We present CycliST, a novel benchmark dataset designed to evaluate Video Language Models (VLM) on their ability for textual reasoning over cyclical state transitions. CycliST captu…

cs.AI2025

Synthesizing Visual Concepts as Vision-Language Programs

Antonia Wüst, Wolfgang Stammer, Hikaru Shindo +3

Vision-Language models (VLMs) achieve strong performance on multimodal tasks but often fail at systematic visual reasoning tasks, leading to inconsistent or illogical outputs. Neur…