WebSelf-Generated In-Context Learning: Leveraging Auto-regressive Language Models as a Demonstration Generator. Hyuhng Joon Kim, Hyunsoo Cho, Junyeob Kim, Taeuk Kim, … WebGPT-3论文称其为”元学习meta-learning”，认为在阅读大量无监督的文本后，语言模型可以“训练出多样的技能和patterns识别能力“。 作者假设在预训练期间有时会有重复的子任务嵌 …
如何通过In-context learning，让小模型去学习大模型？
Web虽然in-context learning只有在无法调整模型时才是必要的，并且当训练实例的数量增加时很难进行泛化（因为模型的输入长度是有限的），但研究如何更好地使用demonstrations（即如何进一摄取LMs学到的”meta-knowledge”）以及哪些预训练目标和数据可以提升in-context能力，可能会进一步帮助我们了解预训练LMs的内部运行原理。 校准语言模型 Calibrating … Web论文：Rethinking the Role of Demonstrations: What Makes In-Context Learning Work? we find that other aspects of the demonstrations are the key drivers of end task performance, including the fact that they provide a few examples of (1) the label space, (2) the distribution of the input text, and (3) the overall format of the sequence. hsbc exchange rates today malaysia
GitHub - dqxiu/ICL_PaperList: Paper List for In-context Learning 🌷
WebThe In-Context Learning (ICL) is to understand a new task via a few demonstrations (aka. prompt) and predict new inputs without tuning the models. While it has been widely … WebIn intelligent tutoring systems with natural language dialogue, speech act classification, the task of detecting learners’ intentions, informs the system’s response mechanism. In this … WebIn Context Learning（ICL）的关键思想是从类比中学习。上图给出了一个描述语言模型如何使用ICL进行决策的例子。首先，ICL需要一些示例来形成一个演示上下文。这些示例通常 … hsbc executor account