MCML - Research Blog

Link to TruthQuest – A New Benchmark for AI Reasoning

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15.01.2025

TruthQuest – A New Benchmark for AI Reasoning

MCML Research Insight - With Philipp Mondorf and Barbara Plank

In their recent work, “Liar, Liar, Logical Mire: A Benchmark for Suppositional Reasoning in Large Language Models” our Junior Member Philipp Mondorf and our PI Barbara Plank tackle a fascinating question: How well do AI systems handle complex reasoning tasks?

Research Collaboration Between TUM/MCML and Stanford University

Funded by the MCML AI X-Change Program and BaCaTeC

During the summer of 2024, I had the privilege of representing the Computer Vision Group at TUM, led by Prof. Daniel Cremers, in a collaborative research project with the Geometric Computing Group at Stanford University, headed by Prof. Leonidas Guibas. During my three-month stay at Stanford, researchers from both institutes delved deeply into the …

Epistemic Foundations and Limitations of Statistics and Science

Blogpost on the Replication Crisis

The Open Science Initiative in Statistics and the MCML recently hosted a workshop about epistemic foundations and limitations of statistics and science. The event brought together researchers from diverse fields to discuss one of science’s most pressing challenges: The replication crisis. While the crisis is often attributed to systemic issues like …