7 citations · 19 across the 7 of their papers we have counts for
7 papers
LeMAJ (Legal LLM-as-a-Judge): Bridging Legal Reasoning and LLM Evaluation
Joseph Enguehard, Morgane Van Ermengem, Kate Atkinson +8
Evaluating large language model (LLM) outputs in the legal domain presents unique challenges due to the complex and nuanced nature of legal analysis. Current evaluation approaches…
Using the Path of Least Resistance to Explain Deep Networks
Sina Salek, Joseph Enguehard
Integrated Gradients (IG), a widely used axiomatic path-based attribution method, assigns importance scores to input features by integrating model gradients along a straight path f…
Time Interpret: a Unified Model Interpretability Library for Time Series
Joseph Enguehard
We introduce $\texttt{time_interpret}$, a library designed as an extension of Captum, with a specific focus on temporal data. As such, this library implements several feature attri…
Learning Perturbations to Explain Time Series Predictions
Joseph Enguehard
Explaining predictions based on multivariate time series data carries the additional difficulty of handling not only multiple features, but also time dependencies. It matters not o…
Sequential Integrated Gradients: a simple but effective method for explaining language models
Joseph Enguehard
Several explanation methods such as Integrated Gradients (IG) can be characterised as path-based methods, as they rely on a straight line between the data and an uninformative base…
Neural Temporal Point Processes For Modelling Electronic Health Records
Joseph Enguehard, Dan Busbridge, Adam Bozson +2
The modelling of Electronic Health Records (EHRs) has the potential to drive more efficient allocation of healthcare resources, enabling early intervention strategies and advancing…
Neural Language Priors
Joseph Enguehard, Dan Busbridge, Vitalii Zhelezniak +1
The choice of sentence encoder architecture reflects assumptions about how a sentence's meaning is composed from its constituent words. We examine the contribution of these archite…