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Found 5 papers, 2 papers with code
Monte Carlo Diffusion for Generalizable Learning-Based RANSAC
Random Sample Consensus (RANSAC) is a fundamental approach for robustly estimating parametric models from noisy data.
Enhancing Complex Formula Recognition with Hierarchical Detail-Focused Network
Hierarchical and complex Mathematical Expression Recognition (MER) is challenging due to multiple possible interpretations of a formula, complicating both parsing and evaluation.
First Multi-Dimensional Evaluation of Flowchart Comprehension for Multimodal Large Language Models
We propose the first comprehensive method, FlowCE, to assess MLLMs across various dimensions for tasks related to flowcharts.
PartialFormer: Modeling Part Instead of Whole for Machine Translation
In this work, we emphasize the importance of hidden dimensions in designing lightweight FFNs, a factor often overlooked in previous architectures.
Ranked #23 on
Machine Translation
on WMT2014 English-German
The APC Algorithm of Solving Large-Scale Linear Systems: A Generalized Analysis
A new algorithm called accelerated projection-based consensus (APC) has recently emerged as a promising approach to solve large-scale systems of linear equations in a distributed fashion.
