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Fooling MOSS Detection with Pretrained Language Models., and . CIKM, page 2933-2943. ACM, (2022)Multitask Prompted Training Enables Zero-Shot Task Generalization, , , , , , , , , and 30 other author(s). International Conference on Learning Representations, (2022)Large language models are not zero-shot communicators, , , , , and . (2022)cite arxiv:2210.14986.RWKV: Reinventing RNNs for the Transformer Era., , , , , , , , , and 22 other author(s). EMNLP (Findings), page 14048-14077. Association for Computational Linguistics, (2023)Why Has Predicting Downstream Capabilities of Frontier AI Models with Scale Remained Elusive?, , , , , , , , and . CoRR, (2024)Lessons from the Trenches on Reproducible Evaluation of Language Models., , , , , , , , , and 20 other author(s). CoRR, (2024)Position: On the Societal Impact of Open Foundation Models., , , , , , , , , and 15 other author(s). ICML, OpenReview.net, (2024)VQGAN-CLIP: Open Domain Image Generation and Editing with Natural Language Guidance., , , , , , and . ECCV (37), volume 13697 of Lecture Notes in Computer Science, page 88-105. Springer, (2022)GAIA Search: Hugging Face and Pyserini Interoperability for NLP Training Data Exploration., , , , , , , , and . ACL (demo), page 588-598. Association for Computational Linguistics, (2023)Pythia: A Suite for Analyzing Large Language Models Across Training and Scaling., , , , , , , , , and 3 other author(s). ICML, volume 202 of Proceedings of Machine Learning Research, page 2397-2430. PMLR, (2023)