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An empirical analysis of compute-optimal large language model training., , , , , , , , , and 12 other author(s). NeurIPS, (2022)Women Also Snowboard: Overcoming Bias in Captioning Models., , , , and . ECCV (3), volume 11207 of Lecture Notes in Computer Science, page 793-811. Springer, (2018)Characteristics of Harmful Text: Towards Rigorous Benchmarking of Language Models., , , , , , , , , and 2 other author(s). NeurIPS, (2022)Object Hallucination in Image Captioning., , , , and . EMNLP, page 4035-4045. Association for Computational Linguistics, (2018)Proton: A visuo-haptic data acquisition system for robotic learning of surface properties., , , , , , , and . MFI, page 58-65. IEEE, (2016)Improving alignment of dialogue agents via targeted human judgements., , , , , , , , , and 24 other author(s). CoRR, (2022)Long-term recurrent convolutional networks for visual recognition and description., , , , , , and . CVPR, page 2625-2634. IEEE Computer Society, (2015)Deep Compositional Captioning: Describing Novel Object Categories without Paired Training Data., , , , , and . CVPR, page 1-10. IEEE Computer Society, (2016)Representation in AI Evaluations., , , , , , , , and . FAccT, page 519-533. ACM, (2023)Taxonomy of Risks posed by Language Models., , , , , , , , , and 13 other author(s). FAccT, page 214-229. ACM, (2022)