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Found 2 papers, 1 papers with code
Meta-Chunking: Learning Efficient Text Segmentation via Logical Perception
Retrieval-Augmented Generation (RAG), while serving as a viable complement to large language models (LLMs), often overlooks the crucial aspect of text chunking within its pipeline, which impacts the quality of knowledge-intensive tasks.
Pseudo-Label Calibration Semi-supervised Multi-Modal Entity Alignment
Unfortunately, prior arts have attempted to improve the interaction and fusion of multi-modal information, which have overlooked the influence of modal-specific noise and the usage of labeled and unlabeled data in semi-supervised settings.
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