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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

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Showing 2025Show all

11 papers · 1 filter

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…

cs.LG2025

QuAnTS: Question Answering on Time Series

Felix Divo, Maurice Kraus, Anh Q. Nguyen +5

Text offers intuitive access to information. This can, in particular, complement the density of numerical time series, thereby enabling improved interactions with time series model…

cs.CL2025

KnowRL: Teaching Language Models to Know What They Know

Sahil Kale, Devendra Singh Dhami

Truly reliable AI requires more than simply scaling up knowledge; it demands the ability to know what it knows and when it does not. Yet recent research shows that even the best LL…

stat.ML2025

Causal Abstractions, Categorically Unified

Markus Englberger, Devendra Singh Dhami

We present a categorical framework for relating causal models that represent the same system at different levels of abstraction. We define a causal abstraction as natural transform…

cs.RO2025

The Constitutional Controller: Doubt-Calibrated Steering of Compliant Agents

Simon Kohaut, Felix Divo, Navid Hamid +4

Ensuring reliable and rule-compliant behavior of autonomous agents in uncertain environments remains a fundamental challenge in modern robotics. Our work shows how neuro-symbolic s…