Jasper Leo

Jasper Leo

Gain and loss are equal.

Meta-DM: Applications of Diffusion Models on Few-Shot Learning

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Published:

A paper was produced and submitted to the NIPS 2023 conference and has been rejected. The paper investigates a data augmentation application of the mainstream diffusion model on the small sample task of images. It mainly proposes the Meta-DM framework and verifies that several mainstream algorithms combined with Meta-DM can significantly improve their performance and achieve SOTA.

Rebuttal of AllTogether: Investigating the Efficacy of Spliced Prompt for Web Navigation using Large Language Models

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Published:

This paper was submitted to COLING 2024 based on the “Class of Talent” Innovation Fund Program. The paper investigates the performance and evaluation of intelligences based on a generalized LLM in accomplishing the Web Navigation task, and designs the AllTogether method to enhance the language grounding capability of the pretrained language model.