activity
20112026
most citedLong Short-Term Memory-Networks for Machine Reading

187 citations · 1.6k across the 127 of their papers we have counts for

collaborators
Showing 2024 · cs.CLShow all

17 papers · 2 filters

cs.CL2024★ 5 cited

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…

cs.CL2024

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…

cs.CL2024★ 3 cited

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…

cs.CL2024

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…

cs.CL2024★ 2 cited

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…

cs.CL2024

Integrating Large Language Models with Graph-based Reasoning for Conversational Question Answering

Parag Jain, Mirella Lapata

We focus on a conversational question answering task which combines the challenges of understanding questions in context and reasoning over evidence gathered from heterogeneous sou…