Rethinking the Role of Demonstrations: What Makes In-Context Learning Work? 读之前转载一下知乎上的部分评价 一作的近期的其它相关工作: Noisy Channel Language Model Prompting for Few-Shot Text Classification ~https://arxiv.org/pdf/2108.04106.pdfMetaICL: Learning to Learn In Context ~https://arxiv...
§3中给出了MRC的概述,包括对一般NLP范围,编队,数据集和评估指标的影响; 然后,我们从两阶段求解体系结构的角度讨论技术方法,并总结第4节中的主要主题和面临的挑战; 接下来,我们将在§5中进行更深入的研究,通过回顾典型MRC模型中的趋势和重点,发现在MRC的不同阶段有效的方法。 我们的经验分析也被报告用于验证基于...
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intricately woven together, form the backbone of LLMs, enabling them to emulate human language processing and generation with an unprecedented level of sophistication. Each element plays a distinct and pivotal role, from the foundational
Learn how natural language processing, or applying linguistic and statistical algorithms to text, can supercharge your business goals
Fernandez, P.M., Garcia-Serrano, A.M.: The role of knowledge-based technology in language applications development. In: Expert Systems with Applications, vol. 19, pp. 31–44 (2000)The role of knowledge-based technology in language applications development. Expert Systems with Applications19 - ...
In total, we queried GPT-3.5 using the full names of 42,794 fly protein isoforms across the entire genome, and 128,382 prompt-generation pairs were produced by GPT-3.5 for interpreting the potential role of each protein isoform in regulating any of the three behaviors (Fig.1a; Supplementary...
GPT-3 is applied without any gradient updates or fine-tuning. It achieves strong performance on many NLP datasets and can perform tasks such as translation, question-answer, reasoning, and 3-digit arithmetic operations. OpenAI’s language model achieved promising results in the zero-shot and ...
The use of AI-based language models has gained popularity in AES due to their ability to accurately assess the quality of student writing. Our study seeks to explore the implications of using such an AI language model for AES. We also examine the potential role linguistic features could play ...
the power of specific wordings to better access the learning capabilities of machines is by itself an affirmation of the crucial role that human language specialists play in everything from machine translation post-editing (MTPE) to the development of stronger and stronger NLP mechanisms, even...