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What Makes Good In-Context Examples for GPT-$3$?

What Makes Good In-Context Examples for GPT-333?

17 January 2021
Jiachang Liu
Dinghan Shen
Yizhe Zhang
Bill Dolan
Lawrence Carin
Weizhu Chen
    AAML
    RALM
ArXivPDFHTML

Papers citing "What Makes Good In-Context Examples for GPT-$3$?"

50 / 80 papers shown
Title
MAPLE: Many-Shot Adaptive Pseudo-Labeling for In-Context Learning
MAPLE: Many-Shot Adaptive Pseudo-Labeling for In-Context Learning
Zihan Chen
Song Wang
Zhen Tan
Jundong Li
Cong Shen
OffRL
183
0
0
22 May 2025
HyperTree Planning: Enhancing LLM Reasoning via Hierarchical Thinking
HyperTree Planning: Enhancing LLM Reasoning via Hierarchical Thinking
Runquan Gui
Ziyi Wang
Jun Wang
Chi Ma
Huiling Zhen
Mingxuan Yuan
Jianye Hao
Defu Lian
Enhong Chen
Feng Wu
LRM
259
0
0
05 May 2025
TF1-EN-3M: Three Million Synthetic Moral Fables for Training Small, Open Language Models
TF1-EN-3M: Three Million Synthetic Moral Fables for Training Small, Open Language Models
Mihai Nadas
Laura Diosan
Andrei Piscoran
Andreea Tomescu
VGen
91
0
0
29 Apr 2025
Mimic In-Context Learning for Multimodal Tasks
Mimic In-Context Learning for Multimodal Tasks
Yuchu Jiang
Jiale Fu
Chenduo Hao
Xinting Hu
Yingzhe Peng
Xin Geng
Xu Yang
89
0
0
11 Apr 2025
Generative Artificial Intelligence in Robotic Manipulation: A Survey
Kun Zhang
Peng Yun
Jun Cen
Junhao Cai
DiDi Zhu
...
Qifeng Chen
Jia Pan
Wei Zhang
Bo Yang
Hua Chen
130
1
0
05 Mar 2025
Advancing Multimodal In-Context Learning in Large Vision-Language Models with Task-aware Demonstrations
Advancing Multimodal In-Context Learning in Large Vision-Language Models with Task-aware Demonstrations
Yanshu Li
101
2
0
05 Mar 2025
PICASO: Permutation-Invariant Context Composition with State Space Models
PICASO: Permutation-Invariant Context Composition with State Space Models
Tian Yu Liu
Alessandro Achille
Matthew Trager
Aditya Golatkar
Luca Zancato
Stefano Soatto
LRM
112
0
0
24 Feb 2025
Problem-Solving Logic Guided Curriculum In-Context Learning for LLMs Complex Reasoning
Problem-Solving Logic Guided Curriculum In-Context Learning for LLMs Complex Reasoning
Xuetao Ma
Wenbin Jiang
Hua Huang
LRM
101
3
0
21 Feb 2025
D.Va: Validate Your Demonstration First Before You Use It
D.Va: Validate Your Demonstration First Before You Use It
Qi Zhang
Zhiqing Xiao
Ruixuan Xiao
Lirong Gao
Junbo Zhao
166
0
0
20 Feb 2025
ARISE: Iterative Rule Induction and Synthetic Data Generation for Text Classification
ARISE: Iterative Rule Induction and Synthetic Data Generation for Text Classification
Y. Meena
Vaibhav Singh
Ayush Maheshwari
Amrith Krishna
Ganesh Ramakrishnan
AI4TS
359
0
0
09 Feb 2025
Mathematical Language Models: A Survey
Mathematical Language Models: A Survey
Wen Liu
Hanglei Hu
Jie Zhou
Yuyang Ding
Junsong Li
...
Mengliang He
Qin Chen
Bo Jiang
Aimin Zhou
Liang He
LRM
163
14
0
03 Jan 2025
VLM2Vec: Training Vision-Language Models for Massive Multimodal Embedding Tasks
VLM2Vec: Training Vision-Language Models for Massive Multimodal Embedding Tasks
Ziyan Jiang
Rui Meng
Xinyi Yang
Semih Yavuz
Yingbo Zhou
Wenhu Chen
MLLM
VLM
144
26
0
03 Jan 2025
In-Context Learning with Iterative Demonstration Selection
In-Context Learning with Iterative Demonstration Selection
Chengwei Qin
Aston Zhang
Chong Chen
Anirudh Dagar
Wenming Ye
LRM
138
49
0
31 Dec 2024
Revisiting In-Context Learning with Long Context Language Models
Revisiting In-Context Learning with Long Context Language Models
Jinheon Baek
Sun Jae Lee
Prakhar Gupta
Geunseob
Oh
Siddharth Dalmia
515
3
0
22 Dec 2024
PICLe: Pseudo-Annotations for In-Context Learning in Low-Resource Named Entity Detection
PICLe: Pseudo-Annotations for In-Context Learning in Low-Resource Named Entity Detection
Sepideh Mamooler
Syrielle Montariol
Alexander Mathis
Antoine Bosselut
141
1
0
16 Dec 2024
The Promises and Pitfalls of LLM Annotations in Dataset Labeling: a Case Study on Media Bias Detection
Tomas Horych
Christoph Mandl
Terry Ruas
André Greiner-Petter
Bela Gipp
Akiko Aizawa
Timo Spinde
154
6
0
17 Nov 2024
Dynamic Uncertainty Ranking: Enhancing Retrieval-Augmented In-Context Learning for Long-Tail Knowledge in LLMs
Dynamic Uncertainty Ranking: Enhancing Retrieval-Augmented In-Context Learning for Long-Tail Knowledge in LLMs
Shuyang Yu
Runxue Bao
Parminder Bhatia
Taha A. Kass-Hout
Jiayu Zhou
Cao Xiao
118
1
0
31 Oct 2024
DAWN-ICL: Strategic Planning of Problem-solving Trajectories for Zero-Shot In-Context Learning
DAWN-ICL: Strategic Planning of Problem-solving Trajectories for Zero-Shot In-Context Learning
Xinyu Tang
Xiaolei Wang
Wayne Xin Zhao
Ji-Rong Wen
85
5
0
26 Oct 2024
AutoMIR: Effective Zero-Shot Medical Information Retrieval without Relevance Labels
AutoMIR: Effective Zero-Shot Medical Information Retrieval without Relevance Labels
Lei Li
Xiangxu Zhang
Xiao Zhou
Zheng Liu
VLM
RALM
88
2
0
26 Oct 2024
Compute-Constrained Data Selection
Compute-Constrained Data Selection
Junjie Oscar Yin
Alexander M. Rush
96
1
0
21 Oct 2024
Few-Shot Joint Multimodal Entity-Relation Extraction via Knowledge-Enhanced Cross-modal Prompt Model
Few-Shot Joint Multimodal Entity-Relation Extraction via Knowledge-Enhanced Cross-modal Prompt Model
Li Yuan
Yi Cai
Junsheng Huang
VLM
74
2
0
18 Oct 2024
In-Context Learning Enables Robot Action Prediction in LLMs
In-Context Learning Enables Robot Action Prediction in LLMs
Yida Yin
Zekai Wang
Yuvan Sharma
Dantong Niu
Trevor Darrell
Roei Herzig
LM&Ro
180
4
0
16 Oct 2024
ELICIT: LLM Augmentation via External In-Context Capability
ELICIT: LLM Augmentation via External In-Context Capability
Futing Wang
Jianhao Yan
Yue Zhang
Tao Lin
96
1
0
12 Oct 2024
Exploring the Role of Reasoning Structures for Constructing Proofs in Multi-Step Natural Language Reasoning with Large Language Models
Exploring the Role of Reasoning Structures for Constructing Proofs in Multi-Step Natural Language Reasoning with Large Language Models
Zióu Zheng
Christopher Malon
Martin Renqiang Min
Xiaodan Zhu
LRM
278
0
0
11 Oct 2024
CriSPO: Multi-Aspect Critique-Suggestion-guided Automatic Prompt Optimization for Text Generation
CriSPO: Multi-Aspect Critique-Suggestion-guided Automatic Prompt Optimization for Text Generation
Han He
Qianchu Liu
Lei Xu
Chaitanya P. Shivade
Yi Zhang
S. Srinivasan
Katrin Kirchhoff
66
1
0
03 Oct 2024
GraphIC: A Graph-Based In-Context Example Retrieval Model for Multi-Step Reasoning
GraphIC: A Graph-Based In-Context Example Retrieval Model for Multi-Step Reasoning
Jiale Fu
Yaqing Wang
Simeng Han
Jiaming Fan
Chen Si
89
1
0
03 Oct 2024
Automated Knowledge Concept Annotation and Question Representation Learning for Knowledge Tracing
Automated Knowledge Concept Annotation and Question Representation Learning for Knowledge Tracing
Yilmazcan Ozyurt
Stefan Feuerriegel
Mrinmaya Sachan
AI4Ed
92
1
0
02 Oct 2024
Cropper: Vision-Language Model for Image Cropping through In-Context Learning
Cropper: Vision-Language Model for Image Cropping through In-Context Learning
Seung Hyun Lee
Junjie Ke
Yinxiao Li
Junfeng He
Steven Hickson
...
Irfan Essa
Sangpil Kim
Ming-Hsuan Yang
Irfan Essa
Feng Yang
VLM
81
0
0
14 Aug 2024
LLM-based MOFs Synthesis Condition Extraction using Few-Shot Demonstrations
LLM-based MOFs Synthesis Condition Extraction using Few-Shot Demonstrations
Lei Shi
Zhimeng Liu
Yi Yang
Weize Wu
Yuyang Zhang
...
Zipeng Liu
Huobin Tan
Hongyi Gao
Yue Zhang
Ge Wang
81
0
0
06 Aug 2024
Grammar-based Game Description Generation using Large Language Models
Grammar-based Game Description Generation using Large Language Models
Tsunehiko Tanaka
Edgar Simo-Serra
92
2
0
24 Jul 2024
FsPONER: Few-shot Prompt Optimization for Named Entity Recognition in Domain-specific Scenarios
FsPONER: Few-shot Prompt Optimization for Named Entity Recognition in Domain-specific Scenarios
Yongjian Tang
Rakebul Hasan
Thomas Runkler
118
2
0
10 Jul 2024
PlagBench: Exploring the Duality of Large Language Models in Plagiarism Generation and Detection
PlagBench: Exploring the Duality of Large Language Models in Plagiarism Generation and Detection
Jooyoung Lee
Toshini Agrawal
Adaku Uchendu
Thai V. Le
Jinghui Chen
Dongwon Lee
126
1
0
24 Jun 2024
LLM Reading Tea Leaves: Automatically Evaluating Topic Models with Large Language Models
LLM Reading Tea Leaves: Automatically Evaluating Topic Models with Large Language Models
Xiaohao Yang
He Zhao
Dinh Q. Phung
Wray Buntine
Lan Du
ALM
ELM
119
2
0
13 Jun 2024
E-ICL: Enhancing Fine-Grained Emotion Recognition through the Lens of Prototype Theory
E-ICL: Enhancing Fine-Grained Emotion Recognition through the Lens of Prototype Theory
Zhou Yang
Zhou Yang
Chenglong Ye
Yufeng Wang
Haizhou Sun
Chao Chen
Xiaofei Zhu
Yunbing Wu
Xiangwen Liao
121
1
0
04 Jun 2024
Unsupervised Meta-Learning via In-Context Learning
Unsupervised Meta-Learning via In-Context Learning
Anna Vettoruzzo
Lorenzo Braccaioli
Joaquin Vanschoren
M. Nowaczyk
SSL
93
1
0
25 May 2024
XAMPLER: Learning to Retrieve Cross-Lingual In-Context Examples
XAMPLER: Learning to Retrieve Cross-Lingual In-Context Examples
Peiqin Lin
André F. T. Martins
Hinrich Schütze
RALM
91
3
0
08 May 2024
Large Language Model Agent as a Mechanical Designer
Large Language Model Agent as a Mechanical Designer
Yayati Jadhav
A. Farimani
AI4CE
LLMAG
129
10
0
26 Apr 2024
FlexLLM: A System for Co-Serving Large Language Model Inference and Parameter-Efficient Finetuning
FlexLLM: A System for Co-Serving Large Language Model Inference and Parameter-Efficient Finetuning
Xupeng Miao
Gabriele Oliaro
Xinhao Cheng
Vineeth Kada
Ruohan Gao
...
April Yang
Yingcheng Wang
Mengdi Wu
Colin Unger
Zhihao Jia
MoE
132
10
0
29 Feb 2024
Hot PATE: Private Aggregation of Distributions for Diverse Task
Hot PATE: Private Aggregation of Distributions for Diverse Task
Edith Cohen
Benjamin Cohen-Wang
Xin Lyu
Jelani Nelson
Tamas Sarlos
Uri Stemmer
87
5
0
04 Dec 2023
Hijacking Large Language Models via Adversarial In-Context Learning
Hijacking Large Language Models via Adversarial In-Context Learning
Yao Qiang
Xiangyu Zhou
Saleh Zare Zade
Prashant Khanduri
Dongxiao Zhu
91
34
0
16 Nov 2023
GLoRE: Evaluating Logical Reasoning of Large Language Models
GLoRE: Evaluating Logical Reasoning of Large Language Models
Hanmeng Liu
Zhiyang Teng
Ruoxi Ning
Jian Liu
Qiji Zhou
Yuexin Zhang
Yue Zhang
ReLM
ELM
LRM
101
8
0
13 Oct 2023
LLM4DV: Using Large Language Models for Hardware Test Stimuli Generation
LLM4DV: Using Large Language Models for Hardware Test Stimuli Generation
Zixi Zhang
Greg Chadwick
Hugo McNally
Yiren Zhao
Robert D. Mullins
Jianyi Cheng
Robert Mullins
Yiren Zhao
77
22
0
06 Oct 2023
Investigating Prompting Techniques for Zero- and Few-Shot Visual Question Answering
Investigating Prompting Techniques for Zero- and Few-Shot Visual Question Answering
Rabiul Awal
Le Zhang
Aishwarya Agrawal
LRM
86
13
0
16 Jun 2023
On the Creativity of Large Language Models
On the Creativity of Large Language Models
Giorgio Franceschelli
Mirco Musolesi
151
56
0
27 Mar 2023
Making Pre-trained Language Models Better Few-shot Learners
Making Pre-trained Language Models Better Few-shot Learners
Tianyu Gao
Adam Fisch
Danqi Chen
362
1,961
0
31 Dec 2020
mT5: A massively multilingual pre-trained text-to-text transformer
mT5: A massively multilingual pre-trained text-to-text transformer
Linting Xue
Noah Constant
Adam Roberts
Mihir Kale
Rami Al-Rfou
Aditya Siddhant
Aditya Barua
Colin Raffel
115
2,533
0
22 Oct 2020
Explaining and Improving Model Behavior with k Nearest Neighbor
  Representations
Explaining and Improving Model Behavior with k Nearest Neighbor Representations
Nazneen Rajani
Ben Krause
Wengpeng Yin
Tong Niu
R. Socher
Caiming Xiong
FAtt
43
33
0
18 Oct 2020
Nearest Neighbor Machine Translation
Nearest Neighbor Machine Translation
Urvashi Khandelwal
Angela Fan
Dan Jurafsky
Luke Zettlemoyer
M. Lewis
RALM
59
285
0
01 Oct 2020
Generation-Augmented Retrieval for Open-domain Question Answering
Generation-Augmented Retrieval for Open-domain Question Answering
Yuning Mao
Pengcheng He
Xiaodong Liu
Yelong Shen
Jianfeng Gao
Jiawei Han
Weizhu Chen
RALM
78
248
0
17 Sep 2020
Measuring Massive Multitask Language Understanding
Measuring Massive Multitask Language Understanding
Dan Hendrycks
Collin Burns
Steven Basart
Andy Zou
Mantas Mazeika
D. Song
Jacob Steinhardt
ELM
RALM
157
4,377
0
07 Sep 2020
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