13 citations · 26 across the 12 of their papers we have counts for
4 papers · 1 filter
Natural Synthesis: Outperforming Reactive Synthesis Tools with Large Reasoning Models
Frederik Schmitt, Matthias Cosler, Niklas Metzger +4
Reactive synthesis, the problem of automatically constructing a hardware circuit from a logical specification, is a long-standing challenge in formal verification. It is elusive fo…
Stream-Based Monitoring of Algorithmic Fairness
Jan Baumeister, Bernd Finkbeiner, Frederik Scheerer +2
Automatic decision and prediction systems are increasingly deployed in applications where they significantly impact the livelihood of people, such as for predicting the creditworth…
Learning Better Representations From Less Data For Propositional Satisfiability
Mohamed Ghanem, Frederik Schmitt, Julian Siber +1
Training neural networks on NP-complete problems typically demands very large amounts of training data and often needs to be coupled with computationally expensive symbolic verifie…
Attention Flows for General Transformers
Niklas Metzger, Christopher Hahn, Julian Siber +2
In this paper, we study the computation of how much an input token in a Transformer model influences its prediction. We formalize a method to construct a flow network out of the at…