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Structured Prompting: Scaling In-Context Learning to 1,000 Examples

Structured Prompting: Scaling In-Context Learning to 1,000 Examples

13 December 2022
Y. Hao
Yutao Sun
Li Dong
Zhixiong Han
Yuxian Gu
Furu Wei
    LRM
ArXivPDFHTML

Papers citing "Structured Prompting: Scaling In-Context Learning to 1,000 Examples"

13 / 13 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
41
0
0
02 May 2025
Mitigating Copy Bias in In-Context Learning through Neuron Pruning
Mitigating Copy Bias in In-Context Learning through Neuron Pruning
Ameen Ali
Lior Wolf
Ivan Titov
41
2
0
02 Oct 2024
Eliminating Position Bias of Language Models: A Mechanistic Approach
Eliminating Position Bias of Language Models: A Mechanistic Approach
Ziqi Wang
Hanlin Zhang
Xiner Li
Kuan-Hao Huang
Chi Han
Shuiwang Ji
Sham Kakade
Hao Peng
Heng Ji
57
12
0
01 Jul 2024
LongRAG: Enhancing Retrieval-Augmented Generation with Long-context LLMs
LongRAG: Enhancing Retrieval-Augmented Generation with Long-context LLMs
Ziyan Jiang
Xueguang Ma
Wenhu Chen
RALM
55
47
0
21 Jun 2024
Implicit In-context Learning
Implicit In-context Learning
Zhuowei Li
Zihao Xu
Ligong Han
Yunhe Gao
Song Wen
Di Liu
Hao Wang
Dimitris N. Metaxas
38
1
0
23 May 2024
In-Context Learning with Long-Context Models: An In-Depth Exploration
In-Context Learning with Long-Context Models: An In-Depth Exploration
Amanda Bertsch
Maor Ivgi
Uri Alon
Jonathan Berant
Matthew R. Gormley
Matthew R. Gormley
Graham Neubig
ReLM
AIMat
93
64
0
30 Apr 2024
DoraemonGPT: Toward Understanding Dynamic Scenes with Large Language Models (Exemplified as A Video Agent)
DoraemonGPT: Toward Understanding Dynamic Scenes with Large Language Models (Exemplified as A Video Agent)
Zongxin Yang
Guikun Chen
Xiaodi Li
Wenguan Wang
Yi Yang
LM&Ro
LLMAG
69
35
0
16 Jan 2024
Retentive Network: A Successor to Transformer for Large Language Models
Retentive Network: A Successor to Transformer for Large Language Models
Yutao Sun
Li Dong
Shaohan Huang
Shuming Ma
Yuqing Xia
Jilong Xue
Jianyong Wang
Furu Wei
LRM
78
301
0
17 Jul 2023
PaLI-X: On Scaling up a Multilingual Vision and Language Model
PaLI-X: On Scaling up a Multilingual Vision and Language Model
Xi Chen
Josip Djolonga
Piotr Padlewski
Basil Mustafa
Soravit Changpinyo
...
Mojtaba Seyedhosseini
A. Angelova
Xiaohua Zhai
N. Houlsby
Radu Soricut
VLM
68
187
0
29 May 2023
Prototypical Calibration for Few-shot Learning of Language Models
Prototypical Calibration for Few-shot Learning of Language Models
Zhixiong Han
Y. Hao
Li Dong
Yutao Sun
Furu Wei
178
52
0
20 May 2022
Train Short, Test Long: Attention with Linear Biases Enables Input
  Length Extrapolation
Train Short, Test Long: Attention with Linear Biases Enables Input Length Extrapolation
Ofir Press
Noah A. Smith
M. Lewis
253
695
0
27 Aug 2021
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
Yao Lu
Max Bartolo
Alastair Moore
Sebastian Riedel
Pontus Stenetorp
AILaw
LRM
279
1,124
0
18 Apr 2021
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
275
1,312
0
17 Jan 2021
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