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Gradient descent aligns the layers of deep linear networks., and . CoRR, (2018)Polylogarithmic width suffices for gradient descent to achieve arbitrarily small test error with shallow ReLU networks., and . ICLR, OpenReview.net, (2020)Think before you speak: Training Language Models With Pause Tokens., , , , , and . CoRR, (2023)Negative Object Presence Evaluation (NOPE) to Measure Object Hallucination in Vision-Language Models., , , , and . CoRR, (2023)CrossNER: Evaluating Cross-Domain Named Entity Recognition., , , , , , , and . CoRR, (2020)Social Welfare and Profit Maximization from Revealed Preferences., , and . WINE, volume 11316 of Lecture Notes in Computer Science, page 264-281. Springer, (2018)Gradient descent follows the regularization path for general losses., , , and . COLT, volume 125 of Proceedings of Machine Learning Research, page 2109-2136. PMLR, (2020)VScript: Controllable Script Generation with Visual Presentation., , , , , , , , and . AACL/IJCNLP (System Demonstrations), page 1-8. Association for Computational Linguistics, (2022)Plausible May Not Be Faithful: Probing Object Hallucination in Vision-Language Pre-training., , , , and . EACL, page 2128-2140. Association for Computational Linguistics, (2023)ANAH: Analytical Annotation of Hallucinations in Large Language Models., , , , , and . ACL (1), page 8135-8158. Association for Computational Linguistics, (2024)