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Entropy Guided Extrapolative Decoding to Improve ...
arXiv
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由 S Das 著作2024被引用 3 次 — In this work, we first propose extrapolation of critical token probabilities beyond the last layer for more accurate contrasting.
Entropy Guided Extrapolative Decoding to Improve ...
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Decoding by contrasting layers improves factuality. 587 in large language models. 588. Karl Cobbe, Vineet Kosaraju, Mohammad Bavarian,. 589. Mark Chen, Heewoo ...
Entropy Guided Extrapolative Decoding to Improve ...
arXiv
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Large language models (LLMs) exhibit impressive natural language capabilities but suffer from hallucination – generating content ungrounded in the realities ...
Entropy Guided Extrapolative Decoding to Improve ...
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目前最先进的方法通过将较低层的早期退出分布与最终层进行对比来改进解码，以利用模型前向过程中与事实性相关的信息。然而，这些方法通常假设最终层是最可靠的，而较低层的 ...
Entropy Guided Extrapolative Decoding to Improve ...
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2024年4月15日 — This paper proposes a new technique called Entropy Guided Extrapolative Decoding (EGED) to improve the factual accuracy of large language ...
Haitao Mi
Papers With Code
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Entropy Guided Extrapolative Decoding to Improve Factuality in Large Language Models · no code implementations • 14 Apr 2024 • Souvik Das, Lifeng Jin, Linfeng ...
ACL ARR 2024 June Submissions
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Entropy Guided Extrapolative Decoding to Improve Factuality in Large Language Models. ACL ARR 2024 June Submission757 Authors. 12 Jun 2024 (modified: 02 Aug ...
Explaining and Improving Contrastive Decoding by ...
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由 HS Chang 著作2024被引用 1 次 — In our work, we show that it is possible to efficiently extrapolate the next-token probability distribution of a larger LM. Chang et al. (2024) ...
24 頁
wang2226/Awesome-LLM-Decoding
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2024年12月18日 — In this paper, we survey and categorize research on decoding methods for foundation models along two key dimensions: paradigms and applications.
Dong Yu
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Entropy Guided Extrapolative Decoding to Improve Factuality in Large Language Models ... Current state-of-the-art approaches refine decoding by contrasting early- ...