Fantastically Ordered Prompts and Where to Find Them: Overcoming
Few-Shot Prompt Order Sensitivity

Fantastically Ordered Prompts and Where to Find Them: Overcoming Few-Shot Prompt Order Sensitivity

18 April 2021

Sebastian Riedel

Pontus Stenetorp

Papers citing "Fantastically Ordered Prompts and Where to Find Them: Overcoming Few-Shot Prompt Order Sensitivity"

10 / 10 papers shown

Title
Local Prompt Optimization Yash Jain Vishal Chowdhary 21 0 0 29 Apr 2025
ICL CIPHERS: Quantifying "Learning'' in In-Context Learning via Substitution Ciphers Zhouxiang Fang Aayush Mishra Muhan Gao Anqi Liu Daniel Khashabi 22 54 0 28 Apr 2025
E-InMeMo: Enhanced Prompting for Visual In-Context Learning Jiahao Zhang Bowen Wang Hong Liu Liangzhi Li Yuta Nakashima Hajime Nagahara VLM 69 0 0 25 Apr 2025
CAPO: Cost-Aware Prompt Optimization Tom Zehle Moritz Schlager Timo Heiß Matthias Feurer VLM 24 0 0 22 Apr 2025
ICLR: In-Context Learning of Representations Core Francisco Park Andrew Lee Ekdeep Singh Lubana Yongyi Yang Maya Okawa Kento Nishi Martin Wattenberg Hidenori Tanaka AIFin 38 3 0 29 Dec 2024
Large Language Model Agent as a Mechanical Designer Yayati Jadhav A. Farimani AI4CE LLMAG 55 9 0 26 Apr 2024
Automated Black-box Prompt Engineering for Personalized Text-to-Image Generation Yutong He Alexander Robey Naoki Murata Yiding Jiang J. Williams George Pappas Hamed Hassani Yuki Mitsufuji Ruslan Salakhutdinov J. Zico Kolter DiffM 32 4 0 28 Mar 2024
What Makes Good In-Context Examples for GPT- $3$ ? Jiachang Liu Dinghan Shen Yizhe Zhang Bill Dolan Lawrence Carin Weizhu Chen AAML RALM 253 991 0 17 Jan 2021
Making Pre-trained Language Models Better Few-shot Learners Tianyu Gao Adam Fisch Danqi Chen 217 1,649 0 31 Dec 2020
Language Models as Knowledge Bases? Fabio Petroni Tim Rocktaschel Patrick Lewis A. Bakhtin Yuxiang Wu Alexander H. Miller Sebastian Riedel KELM AI4MH 367 2,216 0 03 Sep 2019