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Found 3 papers, 2 papers with code
Evaluating and Enhancing Large Language Models for Conversational Reasoning on Knowledge Graphs
We further introduce LLM-ARK, a LLM grounded KG reasoning agent designed to deliver precise and adaptable predictions on KG paths.
Toward Zero-shot Character Recognition: A Gold Standard Dataset with Radical-level Annotations
To increase the adaptability of ACCID, we propose a splicing-based synthetic character algorithm to augment the training samples and apply an image denoising method to improve the image quality.
CharFormer: A Glyph Fusion based Attentive Framework for High-precision Character Image Denoising
Degraded images commonly exist in the general sources of character images, leading to unsatisfactory character recognition results.
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