2 citations · 2 across the 5 of their papers we have counts for
5 papers
Dialogue-based generation of self-driving simulation scenarios using Large Language Models
Antonio Valerio Miceli-Barone, Alex Lascarides, Craig Innes
Simulation is an invaluable tool for developing and evaluating controllers for self-driving cars. Current simulation frameworks are driven by highly-specialist domain specific lang…
Dynamic Planning with a LLM
Gautier Dagan, Frank Keller, Alex Lascarides
While Large Language Models (LLMs) can solve many NLP tasks in zero-shot settings, applications involving embodied agents remain problematic. In particular, complex plans that requ…
Interactive Acquisition of Fine-grained Visual Concepts by Exploiting Semantics of Generic Characterizations in Discourse
Jonghyuk Park, Alex Lascarides, Subramanian Ramamoorthy
Interactive Task Learning (ITL) concerns learning about unforeseen domain concepts via natural interactions with human users. The learner faces a number of significant constraints:…
Learning Manner of Execution from Partial Corrections
Mattias Appelgren, Alex Lascarides
Some actions must be executed in different ways depending on the context. For example, wiping away marker requires vigorous force while wiping away almonds requires more gentle for…
Learning the Effects of Physical Actions in a Multi-modal Environment
Gautier Dagan, Frank Keller, Alex Lascarides
Large Language Models (LLMs) handle physical commonsense information inadequately. As a result of being trained in a disembodied setting, LLMs often fail to predict an action's out…