然而,在并发工作(Huang 等人,2022 年;Li 等人,2022a 年;Magister 等人,2022 年;Fu 等人,2023 年)中,尚未确认或彻底调查此类多样性推理对教学学生模型的影响。我们注意到,多样性推理在开发成本与学生模型的推理成本/质量之间施加了一个重要的权衡,我们将在第 5.3 节中讨论这个问题。 4 Experiments 任务和数据集 ...
Ho N, Schmid L, Yun S Y. Large Language Models Are Reasoning Teachers[J]. arXiv preprint arXiv:2212.10071, 2022. Fu Y, Peng H, Ou L, et al. Specializing Smaller Language Models towards Multi-Step Reasoning[J]. arXiv preprint arXiv:2301.12726, 2023. COT 的微调也是一个很不错的技术,...
Official repository for Large Language Models Are Reasoning Teachers, by Namgyu Ho, Laura Schmid, and Se-young Yun.🚀 Accepted to ACL 2023.This repository contains code for (1) running CoT reasoning on OpenAI models, and (2) apply Fine-tune-CoT to train students based on OpenAI models or...
Large Language Models Are Reasoning Teachers, by Namgyu Ho, Laura Schmid and Se-Young Yun Large Language Models are reasoners with Self-Verification, by Yixuan Weng, Minjun Zhu, Shizhu He, Kang Liu and Jun Zhao Reasoning with Language Model Prompting: A Survey, by Shuofei Qiao, Yixin Ou...
Large Language Models Are Reasoning Teachers Namgyu Ho, Laura Schmid, Se-Young Yun 2022 Solving math word problems with process- and outcome-based feedback Jonathan Uesato, Nate Kushman, Ramana Kumar, Francis Song, Noah Siegel, L. Wang, Antonia Creswel...
Large language models are neural networks based on transformer architectures, including not only those in the BERT lineage but also other models such as GPT-2, GPT-3, T5, and many others, with tremendous scale in terms of the number of model parameters (billions and sometimes trillions) and ...
This study explores the use of Large Language Models (LLMs), specifically GPT-4, in analysing classroom dialogue—a key task for teaching diagnosis and quality improvement. Traditional qualitative methods are both knowledge- and labour-intensive. This research investigates the potential of LLMs to ...
Large language models (LLMs), such as GPT4 and LLaMA, are creating significant advancements in natural language processing, due to their strong text encoding/decoding ability and newly found emergent capability (e.g., reasoning). While LLMs are mainly designed to process pure texts, there are...
Large Language Models are Few-Shot Clinical Information Extractors. Meskó B. The impact of Multimodal large Language models on Health Care’s future. J Med Internet Res. 2023;25:e52865. Article Google Scholar Zhang S, Xu Y, Usuyama N et al. BiomedCLIP: a multimodal biomedical foundation ...
Large Language Models Are Reasoning Teachers; Namgyu Ho et al Meta-Reasoning: Semantics-Symbol Deconstruction For Large Language Models; Yiming Wang et al BeamSearchQA: Large Language Models are Strong Zero-Shot QA Solver; Hao Sun et al AdaPlanner: Adaptive Planning from Feedback with Language ...