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,...
Large Language Models Are Reasoning Teachers. Preprint Namgyu Ho, Laura Schmid, Se-Young Yun. [Paper] [Code], 2022.12 Specializing Smaller Language Models towards Multi-Step Reasoning. Preprint Yao Fu, Hao Peng, Litu Ou, Ashish Sabharwal, Tushar Khot. [Paper], 2023.1 Benchmark Reasoning Abilit...
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...
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 are reasoners with Self-Verification.EMNLP 2023 Findings Yixuan Weng, Minjun Zhu, Shizhu He, Kang Liu, Jun Zhao.[Paper] [Code], 2022.12 Interleaving Retrieval with Chain-of-Thought Reasoning for Knowledge-Intensive Multi-Step Questions.ACL 2023 ...
Chain-of-thought prompting elicits reasoning in large language models. In: Proceedings of the 36th Conference on Neural Information Processing Systems. 2022, 24824–24837 Kojima T, Gu S S, Reid M, Matsuo Y, Iwasawa Y. Large language models are zero-shot reasoners. In: Proceedings of the ...
Artificial intelligence (AI) has significantly impacted various fields. Large language models (LLMs) like GPT-4, BARD, PaLM, Megatron-Turing NLG, Jurassic-
Large language models (LLMs), such as OpenAI’s GPT-4, Google’s Bard or Meta’s LLaMa, have created unprecedented opportunities for analysing and generating language data on a massive scale. Because language data have a central role in all areas of psychology, this new technology has the ...
Collection of papers and related works for Large Language Models (ChatGPT, GPT-3, Codex etc.). Contributors This repository is contributed by the following contributors. Organizers:Guilin Qi (漆桂林),Xiaofang Qi (戚晓芳) Paper Collectors: Zafar Ali,Sheng Bi (毕胜),Yongrui Chen (陈永锐), Zizhuo...