Sheryl Mathew — accepted AI-conference papers

2025

VinaBench: Benchmark for Faithful and Consistent Visual Narratives

Silin Gao, Sheryl Mathew, Li Mi, Sepideh Mamooler, Mengjie Zhao, Hiromi Wakaki +3

CVPR 2025poster

Visual narrative generation transforms textual narratives into sequences of images illustrating the content of the text. However, generating visual narratives that are faithful to the input text and self-consistent across generated images remains an open challenge, due to the lack of knowledge const…

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2023

Difference-Masking: Choosing What to Mask in Continued Pretraining

Alex Wilf, Syeda Nahida Akter, Leena Mathur, Paul Pu Liang, Sheryl Mathew, Mengrou Shou +2

EMNLP 2023long findings

The self-supervised objective of masked prediction has led to promising performance gains on a variety of downstream tasks. However, while most approaches randomly mask tokens, there is strong intuition that deciding what to mask can substantially improve learning outcomes. We investigate this in co…

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