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20172023
most citedWell-Read Students Learn Better: On the Importance of Pre-training Compact Models

428 citations · 1k across the 21 of their papers we have counts for

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Showing 2023Show all

5 papers · 1 filter

cs.CV2023

Efficient End-to-End Visual Document Understanding with Rationale Distillation

Wang Zhu, Alekh Agarwal, Mandar Joshi +3

Understanding visually situated language requires interpreting complex layouts of textual and visual elements. Pre-processing tools, such as optical character recognition (OCR), ca…

cs.LG2023★ 9 cited

From Pixels to UI Actions: Learning to Follow Instructions via Graphical User Interfaces

Peter Shaw, Mandar Joshi, James Cohan +6

Much of the previous work towards digital agents for graphical user interfaces (GUIs) has relied on text-based representations (derived from HTML or other structured data sources),…

cs.CL2023

QUEST: A Retrieval Dataset of Entity-Seeking Queries with Implicit Set Operations

Chaitanya Malaviya, Peter Shaw, Ming-Wei Chang +2

Formulating selective information needs results in queries that implicitly specify set operations, such as intersection, union, and difference. For instance, one might search for "…

cs.CL2023★ 1 cited

Anchor Prediction: Automatic Refinement of Internet Links

Nelson F. Liu, Kenton Lee, Kristina Toutanova

Internet links enable users to deepen their understanding of a topic by providing convenient access to related information. However, the majority of links are unanchored -- they li…

cs.CV2023★ 3 cited

Open-domain Visual Entity Recognition: Towards Recognizing Millions of Wikipedia Entities

Hexiang Hu, Yi Luan, Yang Chen +5

Large-scale multi-modal pre-training models such as CLIP and PaLI exhibit strong generalization on various visual domains and tasks. However, existing image classification benchmar…