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Found 4 papers, 2 papers with code
Improving Chinese Grammatical Error Detection via Data augmentation by Conditional Error Generation
The generative model may bring too many changes to the original sentences and generate semantically ambiguous sentences, so it is difficult to detect grammatical errors in these generated sentences.
CRASpell: A Contextual Typo Robust Approach to Improve Chinese Spelling Correction
These methods have two limitations: (1) they have poor performance on multi-typo texts.
Are LLMs Effective Backbones for Fine-tuning? An Experimental Investigation of Supervised LLMs on Chinese Short Text Matching
The recent success of Large Language Models (LLMs) has garnered significant attention in both academia and industry.
Contextual Debiasing for Visual Recognition With Causal Mechanisms
As a common problem in the visual world, contextual bias means the recognition may depend on the co-occurrence context rather than the objects themselves, which is even more severe in multi-label tasks due to multiple targets and the absence of location.
Ranked #9 on
Multi-Label Classification
on MS-COCO
