4 citations · 9 across the 25 of their papers we have counts for
5 papers · 1 filter
The Ethics of Automating Legal Actors
Josef Valvoda, Alec Thompson, Ryan Cotterell +1
The introduction of large public legal datasets has brought about a renaissance in legal NLP. Many of these datasets are comprised of legal judgements - the product of judges decid…
On the Representational Capacity of Recurrent Neural Language Models
Franz Nowak, Anej Svete, Li Du +1
This work investigates the computational expressivity of language models (LMs) based on recurrent neural networks (RNNs). Siegelmann and Sontag (1992) famously showed that RNNs wit…
Recurrent Neural Language Models as Probabilistic Finite-state Automata
Anej Svete, Ryan Cotterell
Studying language models (LMs) in terms of well-understood formalisms allows us to precisely characterize their abilities and limitations. Previous work has investigated the repres…
A Fast Algorithm for Computing Prefix Probabilities
Franz Nowak, Ryan Cotterell
Multiple algorithms are known for efficiently calculating the prefix probability of a string under a probabilistic context-free grammar (PCFG). Good algorithms for the problem have…
Discriminative Class Tokens for Text-to-Image Diffusion Models
Idan Schwartz, Vésteinn Snæbjarnarson, Hila Chefer +4
Recent advances in text-to-image diffusion models have enabled the generation of diverse and high-quality images. While impressive, the images often fall short of depicting subtle…