187 citations · 1.6k across the 127 of their papers we have counts for
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Evaluating LLMs for Targeted Concept Simplification for Domain-Specific Texts
Sumit Asthana, Hannah Rashkin, Elizabeth Clark +2
One useful application of NLP models is to support people in reading complex text from unfamiliar domains (e.g., scientific articles). Simplifying the entire text makes it understa…
ScreenWriter: Automatic Screenplay Generation and Movie Summarisation
Louis Mahon, Mirella Lapata
The proliferation of creative video content has driven demand for textual descriptions or summaries that allow users to recall key plot points or get an overview without watching.…
BookWorm: A Dataset for Character Description and Analysis
Argyrios Papoudakis, Mirella Lapata, Frank Keller
Characters are at the heart of every story, driving the plot and engaging readers. In this study, we explore the understanding of characters in full-length books, which contain com…
Agents' Room: Narrative Generation through Multi-step Collaboration
Fantine Huot, Reinald Kim Amplayo, Jennimaria Palomaki +3
Writing compelling fiction is a multifaceted process combining elements such as crafting a plot, developing interesting characters, and using evocative language. While large langua…
Generating Visual Stories with Grounded and Coreferent Characters
Danyang Liu, Mirella Lapata, Frank Keller
Characters are important in narratives. They move the plot forward, create emotional connections, and embody the story's themes. Visual storytelling methods focus more on the plot…
How Reliable are LLMs as Knowledge Bases? Re-thinking Facutality and Consistency
Danna Zheng, Mirella Lapata, Jeff Z. Pan
Large Language Models (LLMs) are increasingly explored as knowledge bases (KBs), yet current evaluation methods focus too narrowly on knowledge retention, overlooking other crucial…