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Superposed Decoding: Multiple Generations from a Single Autoregressive Inference Pass Ethan Shen Alan Fan Sarah Pratt Jae Sung Park Matthew Wallingford Sham Kakade Ari Holtzman Ranjay Krishna
Neural Information Processing Systems
Many applications today provide users with multiple auto-complete drafts as they type, including GitHub's code completion, Gmail's smart compose, and Apple's messaging auto-suggestions.
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MambaLRP: ExplainingSelectiveStateSpace SequenceModels
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To foster their reliable use in real-world scenarios, it is crucial to augment their transparency.
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PaDeLLM-NER: Parallel Decoding in Large Language Models for Named Entity Recognition Jinghui Lu1, Ziwei Y ang 1, Y anjie Wang
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The main cause of high latency in LLMs is the sequential decoding process, which autoregressively generates all labels and mentions for NER, significantly increase the sequence length.
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Reinforcement Learning with L TL and ฯ-Regular Objectives via Optimality-Preserving Translation to Average Rewards Xuan-Bach Le
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In this work, we study the relationship between these objectives.
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