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Rick Goh

3 accepted papers

2024

How Interpretable are Reasoning Explanations from Prompting Large Language Models?

NAACL 2024findings

Prompt Engineering has garnered significant attention for enhancing the performance of large language models across a multitude of tasks. Techniques such as the Chain-of-Thought not only bolster task performance but also delineate a clear trajectory of reasoning steps, offering a tangible form of ex…

2022

CRAFT: Cross-Attentional Flow Transformer for Robust Optical Flow

CVPR 2022poster

Optical flow estimation aims to find the 2D motion field by identifying corresponding pixels between two images. Despite the tremendous progress of deep learning-based optical flow methods, it remains a challenge to accurately estimate large displacements with motion blur. This is mainly because the…

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2021

Medical Image Segmentation using Squeeze-and-Expansion Transformers

IJCAI 2021poster

Medical image segmentation is important for computer-aided diagnosis. Good segmentation demands the model to see the big picture and fine details simultaneously, i.e., to learn image features that incorporate large context while keep high spatial resolutions. To approach this goal, the most widely u…