2 citations · 2 across the 5 of their papers we have counts for
3 papers · 1 filter
Building Legal Reward Models for Grounding and Abstention
Rilton Franzone, Valentin Noël, Puyu Wang +2
Large language models are increasingly used in high-stakes domains such as law, where systems must ground their reasoning in retrieved evidence and abstain when that evidence is in…
Learning to Abstract with Nonparametric Variational Information Bottleneck
Melika Behjati, Fabio Fehr, James Henderson
Learned representations at the level of characters, sub-words, words and sentences, have each contributed to advances in understanding different NLP tasks and linguistic phenomena.…
HyperMixer: An MLP-based Low Cost Alternative to Transformers
Florian Mai, Arnaud Pannatier, Fabio Fehr +4
Transformer-based architectures are the model of choice for natural language understanding, but they come at a significant cost, as they have quadratic complexity in the input leng…