3 papers
cs.CL2025
DoubleDipper: Improving Long-Context LLMs via Context Recycling
Arie Cattan, Alon Jacovi, Alex Fabrikant +8
Despite recent advancements in Large Language Models (LLMs), their performance on tasks involving long contexts remains sub-optimal. In this work, we propose DoubleDipper, a novel…
cs.CL2025
Help Me Write a Story: Evaluating LLMs' Ability to Generate Writing Feedback
Hannah Rashkin, Elizabeth Clark, Fantine Huot +1
Can LLMs provide support to creative writers by giving meaningful writing feedback? In this paper, we explore the challenges and limitations of model-generated writing feedback by…
cs.CL2024
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…