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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
Yao Lu
Max Bartolo
Alastair Moore
Sebastian Riedel
Pontus Stenetorp
    AILaw
    LRM
ArXivPDFHTML

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

12 / 12 papers shown
Title
MateICL: Mitigating Attention Dispersion in Large-Scale In-Context Learning
MateICL: Mitigating Attention Dispersion in Large-Scale In-Context Learning
Murtadha Ahmed
Wenbo
Liu yunfeng
17
0
0
02 May 2025
Block Circulant Adapter for Large Language Models
Block Circulant Adapter for Large Language Models
Xinyu Ding
Meiqi Wang
Siyu Liao
Zhongfeng Wang
16
0
0
01 May 2025
Local Prompt Optimization
Local Prompt Optimization
Yash Jain
Vishal Chowdhary
31
0
0
29 Apr 2025
ICL CIPHERS: Quantifying "Learning'' in In-Context Learning via Substitution Ciphers
ICL CIPHERS: Quantifying "Learning'' in In-Context Learning via Substitution Ciphers
Zhouxiang Fang
Aayush Mishra
Muhan Gao
Anqi Liu
Daniel Khashabi
27
54
0
28 Apr 2025
E-InMeMo: Enhanced Prompting for Visual In-Context Learning
E-InMeMo: Enhanced Prompting for Visual In-Context Learning
Jiahao Zhang
Bowen Wang
Hong Liu
Liangzhi Li
Yuta Nakashima
Hajime Nagahara
VLM
83
0
0
25 Apr 2025
CAPO: Cost-Aware Prompt Optimization
CAPO: Cost-Aware Prompt Optimization
Tom Zehle
Moritz Schlager
Timo Heiß
Matthias Feurer
VLM
39
0
0
22 Apr 2025
ICLR: In-Context Learning of Representations
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
74
3
0
29 Dec 2024
Large Language Model Agent as a Mechanical Designer
Large Language Model Agent as a Mechanical Designer
Yayati Jadhav
A. Farimani
AI4CE
LLMAG
77
9
0
26 Apr 2024
Automated Black-box Prompt Engineering for Personalized Text-to-Image Generation
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
67
4
0
28 Mar 2024
What Makes Good In-Context Examples for GPT-$3$?
What Makes Good In-Context Examples for GPT-333?
Jiachang Liu
Dinghan Shen
Yizhe Zhang
Bill Dolan
Lawrence Carin
Weizhu Chen
AAML
RALM
263
991
0
17 Jan 2021
Making Pre-trained Language Models Better Few-shot Learners
Making Pre-trained Language Models Better Few-shot Learners
Tianyu Gao
Adam Fisch
Danqi Chen
225
1,649
0
31 Dec 2020
Language Models as Knowledge Bases?
Language Models as Knowledge Bases?
Fabio Petroni
Tim Rocktaschel
Patrick Lewis
A. Bakhtin
Yuxiang Wu
Alexander H. Miller
Sebastian Riedel
KELM
AI4MH
371
2,216
0
03 Sep 2019
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