17 citations · 24 across the 3 of their papers we have counts for
3 papers
cs.CL2024
Beyond Prompts: Dynamic Conversational Benchmarking of Large Language Models
David Castillo-Bolado, Joseph Davidson, Finlay Gray +1
We introduce a dynamic benchmarking system for conversational agents that evaluates their performance through a single, simulated, and lengthy useragent interactio…
cs.AI2019★ 17 cited
BADGER: Learning to (Learn [Learning Algorithms] through Multi-Agent Communication)
Marek Rosa, Olga Afanasjeva, Simon Andersson +6
In this work, we propose a novel memory-based multi-agent meta-learning architecture and learning procedure that allows for learning of a shared communication policy that enables t…
cs.AI2019★ 7 cited
ToyArchitecture: Unsupervised Learning of Interpretable Models of the World
Jaroslav Vítků, Petr Dluhoš, Joseph Davidson +10
Research in Artificial Intelligence (AI) has focused mostly on two extremes: either on small improvements in narrow AI domains, or on universal theoretical frameworks which are usu…