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ReCLIP: A Strong Zero-Shot Baseline for Referring Expression Comprehension.

, , , , , and . ACL (1), page 5198-5215. Association for Computational Linguistics, (2022)

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A Formal Hierarchy of RNN Architectures., , , , , and . ACL, page 443-459. Association for Computational Linguistics, (2020)The Expressive Power of Transformers with Chain of Thought., and . ICLR, OpenReview.net, (2024)CORD-19: The Covid-19 Open Research Dataset., , , , , , , , , and 14 other author(s). CoRR, (2020)On the Power of Saturated Transformers: A View from Circuit Complexity., , , and . CoRR, (2021)Finding Hierarchical Structure in Neural Stacks Using Unsupervised Parsing., , , , , and . BlackboxNLP@ACL, page 224-232. Association for Computational Linguistics, (2019)ReCLIP: A Strong Zero-Shot Baseline for Referring Expression Comprehension., , , , , and . ACL (1), page 5198-5215. Association for Computational Linguistics, (2022)Entailment Semantics Can Be Extracted from an Ideal Language Model., , and . CoNLL, page 176-193. Association for Computational Linguistics, (2022)On the Linguistic Capacity of Real-Time Counter Automata.. CoRR, (2020)Let's Think Dot by Dot: Hidden Computation in Transformer Language Models., , and . CoRR, (2024)Saturated Transformers are Constant-Depth Threshold Circuits., , and . Trans. Assoc. Comput. Linguistics, (2022)