most citedUnder the Surface: Tracking the Artifactuality of LLM-Generated Data

2 citations · 2 across the 2 of their papers we have counts for

collaborators

2 papers

cs.CL2024★ 2 cited

Under the Surface: Tracking the Artifactuality of LLM-Generated Data

Debarati Das, Karin De Langis, Anna Martin-Boyle +14

This work delves into the expanding role of large language models (LLMs) in generating artificial data. LLMs are increasingly employed to create a variety of outputs, including ann…

cs.CL2023

Decoding the End-to-end Writing Trajectory in Scholarly Manuscripts

Ryan Koo, Anna Martin, Linghe Wang +1

Scholarly writing presents a complex space that generally follows a methodical procedure to plan and produce both rationally sound and creative compositions. Recent works involving…