11 citations · 21 across the 19 of their papers we have counts for
4 papers · 1 filter
Unsupervised Contrast-Consistent Ranking with Language Models
Niklas Stoehr, Pengxiang Cheng, Jing Wang +2
Language models contain ranking-based knowledge and are powerful solvers of in-context ranking tasks. For instance, they may have parametric knowledge about the ordering of countri…
Generalizing Backpropagation for Gradient-Based Interpretability
Kevin Du, Lucas Torroba Hennigen, Niklas Stoehr +2
Many popular feature-attribution methods for interpreting deep neural networks rely on computing the gradients of a model's output with respect to its inputs. While these methods c…
An Ordinal Latent Variable Model of Conflict Intensity
Niklas Stoehr, Lucas Torroba Hennigen, Josef Valvoda +3
Measuring the intensity of events is crucial for monitoring and tracking armed conflict. Advances in automated event extraction have yielded massive data sets of "who did what to w…
Disentangling Interpretable Generative Parameters of Random and Real-World Graphs
Niklas Stoehr, Emine Yilmaz, Marc Brockschmidt +1
While a wide range of interpretable generative procedures for graphs exist, matching observed graph topologies with such procedures and choices for its parameters remains an open p…