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1. Gemma 2: Improving Open Language Models at a Practical Size

2. Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context

3. Gemini: A Family of Highly Capable Multimodal Models

4. StreamingQA: A Benchmark for Adaptation to New Knowledge over Time in Question Answering Models

5. Towards Coherent and Consistent Use of Entities in Narrative Generation

6. Mind the Gap: Assessing Temporal Generalization in Neural Language Models

7. Mogrifier LSTM

8. Learning and Evaluating General Linguistic Intelligence

9. Encoding Spatial Relations from Natural Language

10. Pushing the bounds of dropout

11. The NarrativeQA Reading Comprehension Challenge

12. Dynamic Integration of Background Knowledge in Neural NLU Systems

13. The Neural Noisy Channel

14. Semantic Parsing with Semi-Supervised Sequential Autoencoders

15. Optimizing Performance of Recurrent Neural Networks on GPUs

16. Latent Predictor Networks for Code Generation

17. Reasoning about Entailment with Neural Attention

18. Teaching Machines to Read and Comprehend

19. Learning Bilingual Word Representations by Marginalizing Alignments

20. Aggregation and Ordering in Factorised Databases

21. A Hierarchical Representation Model Based on Longformer and Transformer for Extractive Summarization.

23. Patent Application Titled 'Sequence Transduction Neural Networks' Published Online (USPTO 20200151398)

24. Researchers Submit Patent Application, 'Sequence Transduction Neural Networks', for Approval (USPTO 20190258718)

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