LINGO: 视觉去偏见自然语言指令以支持任务多样性（英文版）

英文标题：LINGO : Visually Debiasing Natural Language Instructions to Support Task Diversity中文摘要：LINGO 是一种新颖的可视化分析界面，可帮助优化自然语言任务指令以减少偏差，并提高模型性能，且经实验验证其支持创建更高语言多样性和更低指令偏差的难度更大的任务；该工具可应用于多领域的指令撰写中。英文摘要：Cross-task generalization is a significant outcome that defines mastery innatural language understanding. Humans show a remarkable aptitude for this, andcan solve many different types of tasks, given definitions in the form oftextual instructions and a small set of examples. Recent work with pre-trained