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In-N-Out: Pre-Training and Self-Training using Auxiliary Information for Out-of-Distribution Robustness.

, , , , , and . CoRR, (2020)

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Defending against Whitebox Adversarial Attacks via Randomized Discretization., and . AISTATS, volume 89 of Proceedings of Machine Learning Research, page 684-693. PMLR, (2019)Benchmarking and Improving Generator-Validator Consistency of Language Models., , , , and . CoRR, (2023)A Safe Harbor for AI Evaluation and Red Teaming., , , , , , , , , and 13 other author(s). CoRR, (2024)PRODIGY: Enabling In-context Learning Over Graphs., , , , , , and . CoRR, (2023)Beyond I.I.D.: Three Levels of Generalization for Question Answering on Knowledge Bases., , , , , , and . WWW, page 3477-3488. ACM / IW3C2, (2021)Learning Dependency-Based Compositional Semantics.. University of California, Berkeley, USA, (2011)The EOS Decision and Length Extrapolation., , , and . BlackboxNLP@EMNLP, page 276-291. Association for Computational Linguistics, (2020)Feature Noising for Log-Linear Structured Prediction., , , , and . EMNLP, page 1170-1179. ACL, (2013)Decoupling Strategy and Generation in Negotiation Dialogues., , , and . EMNLP, page 2333-2343. Association for Computational Linguistics, (2018)Traversing Knowledge Graphs in Vector Space., , and . EMNLP, page 318-327. The Association for Computational Linguistics, (2015)