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Language models are few-shot learners, , , , , , , , , and 1 other author(s). Advances in neural information processing systems, (2020)Unsupervised Selective Rationalization with Noise Injection., , and . ACL (1), page 12647-12659. Association for Computational Linguistics, (2023)Understanding Identity Signalling in Persuasive Online Text., and . ICWSM Workshops, (2021)Towards Detecting Harmful Agendas in News Articles., , , , , and . WASSA@ACL, page 110-128. Association for Computational Linguistics, (2023)Mitigating Covertly Unsafe Text within Natural Language Systems., , , , , , , , , and . EMNLP (Findings), page 2914-2926. Association for Computational Linguistics, (2022)Reading Subtext: Evaluating Large Language Models on Short Story Summarization with Writers., , , and . CoRR, (2024)Language Models are Few-Shot Learners., , , , , , , , , and 21 other author(s). NeurIPS, (2020)SafeText: A Benchmark for Exploring Physical Safety in Language Models., , , , , , and . EMNLP, page 2407-2421. Association for Computational Linguistics, (2022)Detecting Harmful Agendas in News Articles., , , , , and . CoRR, (2023)Check-COVID: Fact-Checking COVID-19 News Claims with Scientific Evidence., , , , , and . ACL (Findings), page 14114-14127. Association for Computational Linguistics, (2023)