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Language models scale reliably with over-training and on downstream tasks., , , , , , , , , and 13 other author(s). CoRR, (2024)VisIT-Bench: A Benchmark for Vision-Language Instruction Following Inspired by Real-World Use., , , , , , , , and . CoRR, (2023)OpenScholar: Synthesizing Scientific Literature with Retrieval-augmented LMs., , , , , , , , , and 15 other author(s). CoRR, (2024)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)Vision-Flan: Scaling Human-Labeled Tasks in Visual Instruction Tuning., , , , , , , , and . ACL (Findings), page 15271-15342. Association for Computational Linguistics, (2024)Scaling Retrieval-Based Language Models with a Trillion-Token Datastore., , , , , , , and . CoRR, (2024)On the Adversarial Robustness of Vision Transformers., , , , and . Trans. Mach. Learn. Res., (2022)Robust Text CAPTCHAs Using Adversarial Examples., , , , and . IEEE Big Data, page 1495-1504. IEEE, (2022)MPCFORMER: Fast, Performant and Provate Transformer Inference with MPC., , , , , and . ICLR, OpenReview.net, (2023)