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Improving language understanding by generative pre-training

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Karthik Narasimhan

Karthik Arumugam

Karthik Gururaj

Karthik Baddam

Karthik Balakrishnan

 

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Context-Conditioning as Cognitive Control: Guiding Meta-learning with Task Information., , , , и . CoRR, (2020)SWE-bench: Can Language Models Resolve Real-World GitHub Issues?, , , , , , и . CoRR, (2023)When is BERT Multilingual? Isolating Crucial Ingredients for Cross-lingual Transfer., , и . NAACL-HLT, стр. 3610-3623. Association for Computational Linguistics, (2022)Take the Scenic Route: Improving Generalization in Vision-and-Language Navigation., , , и . CVPR Workshops, стр. 4000-4004. Computer Vision Foundation / IEEE, (2020)Learning Physics Constrained Dynamics Using Autoencoders., , , и . NeurIPS, (2022)WebShop: Towards Scalable Real-World Web Interaction with Grounded Language Agents., , , и . NeurIPS, (2022)Safe Reinforcement Learning with Natural Language Constraints., , , , и . NeurIPS, стр. 13794-13808. (2021)Grounding Language to Entities and Dynamics for Generalization in Reinforcement Learning., , и . ICML, том 139 из Proceedings of Machine Learning Research, стр. 4051-4062. PMLR, (2021)A System-Wide Debugging Assistant Powered by Natural Language Processing., , , и . SoCC, стр. 171-177. ACM, (2019)Guiding Attention for Self-Supervised Learning with Transformers., и . EMNLP (Findings), том EMNLP 2020 из Findings of ACL, стр. 4676-4686. Association for Computational Linguistics, (2020)