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Found 3 papers, 1 papers with code
Towards Fast Inference: Exploring and Improving Blockwise Parallel Drafts
Despite the remarkable strides made by autoregressive language models, their potential is often hampered by the slow inference speeds inherent in sequential token generation.
Balancing Robustness and Sensitivity using Feature Contrastive Learning
It is generally believed that robust training of extremely large networks is critical to their success in real-world applications.
Text Segmentation by Cross Segment Attention
Document and discourse segmentation are two fundamental NLP tasks pertaining to breaking up text into constituents, which are commonly used to help downstream tasks such as information retrieval or text summarization.
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