5 citations · 11 across the 13 of their papers we have counts for
5 papers · 1 filter
The Architectural Bottleneck Principle
Tiago Pimentel, Josef Valvoda, Niklas Stoehr +1
In this paper, we seek to measure how much information a component in a neural network could extract from the representations fed into it. Our work stands in contrast to prior prob…
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…
Prompting for a conversation: How to control a dialog model?
Josef Valvoda, Yimai Fang, David Vandyke
Dialog modelling faces a difficult trade-off. Models are trained on a large amount of text, yet their responses need to be limited to a desired scope and style of a dialog agent. B…
On the Role of Negative Precedent in Legal Outcome Prediction
Josef Valvoda, Ryan Cotterell, Simone Teufel
Every legal case sets a precedent by developing the law in one of the following two ways. It either expands its scope, in which case it sets positive precedent, or it narrows it, i…
Benchmarking Compositionality with Formal Languages
Josef Valvoda, Naomi Saphra, Jonathan Rawski +2
Recombining known primitive concepts into larger novel combinations is a quintessentially human cognitive capability. Whether large neural models in NLP can acquire this ability wh…