activity
20242026
collaborators

6 papers

cs.CL2026

What, When, and How: Audio Description as Constrained Global Optimization

Igor Sterner, Mirella Lapata, Alex Lascarides +1

Audio Description (AD) makes movies accessible to blind and visually impaired audiences by narrating visual information in gaps between dialogue. Existing automatic AD systems larg…

cs.CL2026

Comparing British and American Audio Description of Movies

Igor Sterner, Alex Lascarides, Frank Keller

Narrating the visual component of movies is known as audio description. It is a narrative technique designed to enable blind and visually impaired individuals to follow the story.…

cs.CL2026

REFRAMED: Towards Realistic Audio Description Generation for Movies

Igor Sterner, Mirella Lapata, Alex Lascarides +1

Audio Description (AD) is a verbal narration of key visual content in videos, enabling access for visually impaired audiences. Unlike standard video captioning, AD is a structured…

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…