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Found 2 papers, 1 papers with code
Low-Resource Cross-Lingual Summarization through Few-Shot Learning with Large Language Models
We provide a future work direction to explore more effective few-shot learning strategies and to investigate the transfer learning capabilities of LLMs for cross-lingual summarization.
MatteFormer: Transformer-Based Image Matting via Prior-Tokens
In this paper, we propose a transformer-based image matting model called MatteFormer, which takes full advantage of trimap information in the transformer block.
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