1 citations · 1 across the 5 of their papers we have counts for
5 papers
The emergence of numerical representations in communicating artificial agents
Daniela Mihai, Lucas Weber, Francesca Franzon
Human languages provide efficient systems for expressing numerosities, but whether the sheer pressure to communicate is enough for numerical representations to arise in artificial…
From Tools to Teammates: Evaluating LLMs in Multi-Session Coding Interactions
Nathanaël Carraz Rakotonirina, Mohammed Hamdy, Jon Ander Campos +5
Large Language Models (LLMs) are increasingly used in working environments for a wide range of tasks, excelling at solving individual problems in isolation. However, are they also…
Interpretability of Language Models via Task Spaces
Lucas Weber, Jaap Jumelet, Elia Bruni +1
The usual way to interpret language models (LMs) is to test their performance on different benchmarks and subsequently infer their internal processes. In this paper, we present an…
The ICL Consistency Test
Lucas Weber, Elia Bruni, Dieuwke Hupkes
Just like the previous generation of task-tuned models, large language models (LLMs) that are adapted to tasks via prompt-based methods like in-context-learning (ICL) perform well…
Mind the instructions: a holistic evaluation of consistency and interactions in prompt-based learning
Lucas Weber, Elia Bruni, Dieuwke Hupkes
Finding the best way of adapting pre-trained language models to a task is a big challenge in current NLP. Just like the previous generation of task-tuned models (TT), models that a…