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Is GPT-3 Text Indistinguishable from Human Text? Scarecrow: A Framework for Scrutinizing Machine Text.

, , , , and . ACL (1), page 7250-7274. Association for Computational Linguistics, (2022)

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Soft Subspace Clustering with a Multi-objective Evolutionary Approach., , , , , , , and . ICVISP, page 70:1-70:5. ACM, (2018)Reducing Privacy Risks in Online Self-Disclosures with Language Models., , , , , , and . CoRR, (2023)Dancing Between Success and Failure: Edit-level Simplification Evaluation using SALSA., , , and . EMNLP, page 3466-3495. Association for Computational Linguistics, (2023)Reducing Privacy Risks in Online Self-Disclosures with Language Models., , , , , , and . ACL (1), page 13732-13754. Association for Computational Linguistics, (2024)TemporalBench: Benchmarking Fine-grained Temporal Understanding for Multimodal Video Models., , , , , , , , , and 5 other author(s). CoRR, (2024)Automatic and Human-AI Interactive Text Generation., , , and . CoRR, (2023)Is GPT-3 Text Indistinguishable from Human Text? Scarecrow: A Framework for Scrutinizing Machine Text., , , , and . ACL (1), page 7250-7274. Association for Computational Linguistics, (2022)Improving Minimum Bayes Risk Decoding with Multi-Prompt., , and . EMNLP, page 22525-22545. Association for Computational Linguistics, (2024)LENS: A Learnable Evaluation Metric for Text Simplification., , , and . ACL (1), page 16383-16408. Association for Computational Linguistics, (2023)Thresh: A Unified, Customizable and Deployable Platform for Fine-Grained Text Evaluation., , and . EMNLP (Demos), page 336-345. Association for Computational Linguistics, (2023)