3 citations · 4 across the 9 of their papers we have counts for
4 papers · 1 filter
A Review of Nine Physics Engines for Reinforcement Learning Research
Michael Kaup, Cornelius Wolff, Hyerim Hwang +2
We present a review of popular simulation engines and frameworks used in reinforcement learning (RL) research, aiming to guide researchers in selecting tools for creating simulated…
Bidirectional Emergent Language in Situated Environments
Cornelius Wolff, Julius Mayer, Elia Bruni +1
Emergent language research has made significant progress in recent years, but still largely fails to explore how communication emerges in more complex and situated multi-agent syst…
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…
From Form(s) to Meaning: Probing the Semantic Depths of Language Models Using Multisense Consistency
Xenia Ohmer, Elia Bruni, Dieuwke Hupkes
The staggering pace with which the capabilities of large language models (LLMs) are increasing, as measured by a range of commonly used natural language understanding (NLU) benchma…