Paraphrase Types Elicit Prompt Engineering Capabilities

28 June 2024

Papers citing "Paraphrase Types Elicit Prompt Engineering Capabilities"

8 / 8 papers shown

Title
A Framework for Robust Cognitive Evaluation of LLMs Karin de Langis J. Park Bin Hu Khanh Chi Le Andreas Schramm Michael C. Mensink Andrew Elfenbein Dongyeop Kang 26 0 0 03 Apr 2025
Attention-Aware Multi-View Pedestrian Tracking Reef Alturki Adrian Hilton Jean-Yves Guillemaut 28 0 0 03 Apr 2025
Towards Human Understanding of Paraphrase Types in ChatGPT Dominik Meier Jan Philip Wahle Terry Ruas Bela Gipp 31 0 0 02 Jul 2024
Instruction Induction: From Few Examples to Natural Language Task Descriptions Or Honovich Uri Shaham Samuel R. Bowman Omer Levy ELM LRM 107 133 0 22 May 2022
Training language models to follow instructions with human feedback Long Ouyang Jeff Wu Xu Jiang Diogo Almeida Carroll L. Wainwright ... Amanda Askell Peter Welinder Paul Christiano Jan Leike Ryan J. Lowe OSLM ALM 301 11,730 0 04 Mar 2022
P-Tuning v2: Prompt Tuning Can Be Comparable to Fine-tuning Universally Across Scales and Tasks Xiao Liu Kaixuan Ji Yicheng Fu Weng Lam Tam Zhengxiao Du Zhilin Yang Jie Tang VLM 236 780 0 14 Oct 2021
Scaling Laws for Neural Language Models Jared Kaplan Sam McCandlish T. Henighan Tom B. Brown B. Chess R. Child Scott Gray Alec Radford Jeff Wu Dario Amodei 220 3,054 0 23 Jan 2020
Exploiting Cloze Questions for Few Shot Text Classification and Natural Language Inference Timo Schick Hinrich Schütze 251 1,382 0 21 Jan 2020