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Language models scale reliably with over-training and on downstream tasks., , , , , , , , , and 13 other author(s). CoRR, (2024)Robust Text CAPTCHAs Using Adversarial Examples., , , , and . CoRR, (2021)VisIT-Bench: A Benchmark for Vision-Language Instruction Following Inspired by Real-World Use., , , , , , , , and . CoRR, (2023)Privacy Preserving Stochastic Channel-Based Federated Learning with Neural Network Pruning., , and . CoRR, (2019)On the Adversarial Robustness of Visual Transformers., , , , and . CoRR, (2021)Vision-Flan: Scaling Human-Labeled Tasks in Visual Instruction Tuning., , , , , , , , and . CoRR, (2024)How and When Adversarial Robustness Transfers in Knowledge Distillation?, , , and . CoRR, (2021)LightSeq: Sequence Level Parallelism for Distributed Training of Long Context Transformers., , , , , , , and . CoRR, (2023)Cross-modal Attention Congruence Regularization for Vision-Language Relation Alignment., , , , and . ACL (1), page 5444-5455. Association for Computational Linguistics, (2023)Stochastic Channel-Based Federated Learning for Medical Data Privacy Preserving., , , and . CoRR, (2019)