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Found 4 papers, 1 papers with code
A Real-World WebAgent with Planning, Long Context Understanding, and Program Synthesis
Pre-trained large language models (LLMs) have recently achieved better generalization and sample efficiency in autonomous web automation.
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Understanding HTML with Large Language Models
We contribute HTML understanding models (fine-tuned LLMs) and an in-depth analysis of their capabilities under three tasks: (i) Semantic Classification of HTML elements, (ii) Description Generation for HTML inputs, and (iii) Autonomous Web Navigation of HTML pages.
Sim2Real Docs: Domain Randomization for Documents in Natural Scenes using Ray-traced Rendering
In the past, computer vision systems for digitized documents could rely on systematically captured, high-quality scans.
Algorithm to Compilation Co-design: An Integrated View of Neural Network Sparsity
Integration of BSR operations enables the TVM runtime execution to leverage structured pattern sparsity induced by model regularization.
