11 citations · 21 across the 19 of their papers we have counts for
5 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…
ACTI at EVALITA 2023: Overview of the Conspiracy Theory Identification Task
Giuseppe Russo, Niklas Stoehr, Manoel Horta Ribeiro
Conspiracy Theory Identication task is a new shared task proposed for the first time at the Evalita 2023. The ACTI challenge, based exclusively on comments published on conspirator…
World Models for Math Story Problems
Andreas Opedal, Niklas Stoehr, Abulhair Saparov +1
Solving math story problems is a complex task for students and NLP models alike, requiring them to understand the world as described in the story and reason over it to compute an a…
Extracting Victim Counts from Text
Mian Zhong, Shehzaad Dhuliawala, Niklas Stoehr
Decision-makers in the humanitarian sector rely on timely and exact information during crisis events. Knowing how many civilians were injured during an earthquake is vital to alloc…