Relational Memory-Augmented Language Models von Liu, Qi, Yogatama, Dani, Blunsom, Phil

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Non-Line-of-Sight Identification and Mitigation Using Received Signal Strength von Xiao, Zhuoling, Wen, Hongkai, Markham, Andrew, Trigoni, Niki, Blunsom, Phil, Frolik, Jeff

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Pretraining the Noisy Channel Model for Task-Oriented Dialogue von Liu, Qi, Yu, Lei, Rimell, Laura, Blunsom, Phil

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Transformer Grammars: Augmenting Transformer Language Models with Syntactic Inductive Biases at Scale von Sartran, Laurent, Barrett, Samuel, Kuncoro, Adhiguna, Stanojević, Miloš, Blunsom, Phil, Dyer, Chris

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Syntactic Structure Distillation Pretraining for Bidirectional Encoders von Kuncoro, Adhiguna, Kong, Lingpeng, Fried, Daniel, Yogatama, Dani, Rimell, Laura, Dyer, Chris, Blunsom, Phil

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The NarrativeQA Reading Comprehension Challenge von Kočiský, Tomáš, Schwarz, Jonathan, Blunsom, Phil, Dyer, Chris, Hermann, Karl Moritz, Melis, Gábor, Grefenstette, Edward

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Hybrid computing using a neural network with dynamic external memory von Graves, Alex, Wayne, Greg, Reynolds, Malcolm, Harley, Tim, Danihelka, Ivo, Grabska-Barwińska, Agnieszka, Colmenarejo, Sergio Gómez, Grefenstette, Edward, Ramalho, Tiago, Agapiou, John, Badia, Adrià Puigdomènech, Hermann, Karl Moritz, Zwols, Yori, Ostrovski, Georg, Cain, Adam, King, Helen, Summerfield, Christopher, Blunsom, Phil, Kavukcuoglu, Koray, Hassabis, Demis

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Learning With Stochastic Guidance for Robot Navigation von Xie, Linhai, Miao, Yishu, Wang, Sen, Blunsom, Phil, Wang, Zhihua, Chen, Changhao, Markham, Andrew, Trigoni, Niki

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Better Document-Level Machine Translation with Bayes’ Rule von Yu, Lei, Sartran, Laurent, Stokowiec, Wojciech, Ling, Wang, Kong, Lingpeng, Blunsom, Phil, Dyer, Chris

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Metrics for MT evaluation: evaluating reordering von Birch, Alexandra, Osborne, Miles, Blunsom, Phil

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A Fast and Simple Online Synchronous Context Free Grammar Extractor von Paul, Baltescu, Phil, Blunsom

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Human Feedback is not Gold Standard von Hosking, Tom, Blunsom, Phil, Bartolo, Max

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Tree Transduction Tools for Cdec von Austin, Matthews, Paul, Baltescu, Phil, Blunsom, Alon, Lavie, Chris, Dyer

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OxLM: A Neural Language Modelling Framework for Machine Translation von Paul, Baltescu, Phil, Blunsom, Hieu, Hoang

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Structural Transfer Learning in NL-to-Bash Semantic Parsers von Duffy, Kyle, Bhattamishra, Satwik, Blunsom, Phil

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Separations in the Representational Capabilities of Transformers and Recurrent Architectures von Bhattamishra, Satwik, Hahn, Michael, Blunsom, Phil, Kanade, Varun

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Relational Memory Augmented Language Models von Liu, Qi, Yogatama, Dani, Blunsom, Phil

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Understanding In-Context Learning in Transformers and LLMs by Learning to Learn Discrete Functions von Bhattamishra, Satwik, Patel, Arkil, Blunsom, Phil, Kanade, Varun

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Simplicity Bias in Transformers and their Ability to Learn Sparse Boolean Functions von Bhattamishra, Satwik, Patel, Arkil, Kanade, Varun, Blunsom, Phil

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Augmenting Multi-Turn Text-to-SQL Datasets with Self-Play von Liu, Qi, Ye, Zihuiwen, Yu, Tao, Blunsom, Phil, Song, Linfeng

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