Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data. A simulation from public publication records: the people listed were not invited and did not agree to review.
? Tutorial for this page

Lars Reinhardt

dblp:429/6935 · DBLP profile ↗
← Back
1ranked-venue papers
0as first author
1since 2021 · last 2026
—ORCID · unresolved

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 1 · 1 since 2021Graphics, computer vision, multimedia, augmented reality and games · 1 · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Artificial intelligence
1 paper
Information extraction and text analysis · 77% Knowledge representation and reasoning · 23%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Natural language and speech › Information extraction and text analysis
narrative understanding
1.012026
The Tatort Test of Intelligence: Towards Narrative Comprehension as a Benchmark for AI · AAAI 2026
Knowledge, reasoning and agents › Knowledge representation and reasoning
theory of mind
0.312026
The Tatort Test of Intelligence: Towards Narrative Comprehension as a Benchmark for AI · AAAI 2026
YearPublicationVenuePosition
2026 The Tatort Test of Intelligence: Towards Narrative Comprehension as a Benchmark for AI
abstract
We propose—somewhat tongue-in-cheek, yet with serious implications—a new test for artificial intelligence: the ability to watch a 90-minute episode of the long-running German crime drama Tatort, and to explain every relevant detail. This involves reconstructing the evolving social network of characters, identifying their beliefs, desires, and intentions, and, crucially, determining who committed the crime. We argue that this task integrates narrative understanding, common-sense reasoning, social cognition, and theory of mind—and thus provides a uniquely challenging benchmark for AI.
Stefan Kramer 0001, Lennart Baur, Lars Reinhardt
AAAI3