4 citations · 4 across the 1 of their papers we have counts for
3 papers
Generating Edit-Inducing Questions for AI Research Manuscripts
Sebastian Joseph, Zichao Wang, Jennifer Healey +3
We study the ability of LLMs to generate edit-inducing questions whose answer will improve a paper draft. On a dataset of paired submission and camera-ready papers from ICLR and Ne…
Standardizing the Measurement of Text Diversity: A Tool and a Comparative Analysis of Scores
Chantal Shaib, Venkata S. Govindarajan, Joe Barrow +4
The diversity across outputs generated by LLMs shapes perception of their quality and utility. High lexical diversity is often desirable, but there is no standard method to measure…
How Much Annotation is Needed to Compare Summarization Models?
Chantal Shaib, Joe Barrow, Alexa F. Siu +2
Modern instruction-tuned models have become highly capable in text generation tasks such as summarization, and are expected to be released at a steady pace. In practice one may now…