3 papers
cs.CL2026
Contrastive Learning with Narrative Twins for Modeling Story Salience
Igor Sterner, Alex Lascarides, Frank Keller
Understanding narratives requires identifying which events are most salient for a story's progression. We present a contrastive learning framework for modeling narrative salience t…
cs.AI2025
: How to learn from procedural How-to questions
Gautier Dagan, Frank Keller, Alex Lascarides
An agent facing a planning problem can use answers to how-to questions to reduce uncertainty and fill knowledge gaps, helping it solve both current and future tasks. However, their…
cs.CL2024
Plancraft: an evaluation dataset for planning with LLM agents
Gautier Dagan, Frank Keller, Alex Lascarides
We present Plancraft, a multi-modal evaluation dataset for LLM agents. Plancraft has both a text-only and multi-modal interface, based on the Minecraft crafting GUI. We include the…