Asher Stern, Roni Stern, Ido Dagan, and Ariel Felner. 2012. Efficient Search for Transformation-based Inference. In Proceedings of the 50th Annual Meeting of ...

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Jul 8, 2012 · This paper addresses the search problem in textual inference, where systems need to infer one piece of text from another.

This paper addresses the search problem in textual inference, where systems need to infer one piece of text from another. A prominent approach to this task ...

This paper addresses the search problem in textual inference, where systems need to infer one piece of text from another. A prominent approach to this task ...

Jun 8, 2024 · This paper presents a comprehensive survey of the existing literature on efficient LLM inference. We start by analyzing the primary causes of the inefficient ...

Sep 27, 2023 · This blog starts with a brief description of the transformer and explains why inference depends on the sequence length.

Jun 28, 2023 · In this paper, we propose an efficient sparse deep learning inference software stack for Transformer-based language models where the weights are pruned with ...

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A key challenge in neural architecture search (NAS) is quickly inferring the predictive performance of a broad spectrum of neural networks to.