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Finding Support Examples for In-Context Learning

Finding Support Examples for In-Context Learning

27 February 2023
Xiaonan Li
Xipeng Qiu
ArXivPDFHTML

Papers citing "Finding Support Examples for In-Context Learning"

20 / 70 papers shown
Title
Not All Demonstration Examples are Equally Beneficial: Reweighting
  Demonstration Examples for In-Context Learning
Not All Demonstration Examples are Equally Beneficial: Reweighting Demonstration Examples for In-Context Learning
Zhe Yang
Damai Dai
Peiyi Wang
Zhifang Sui
34
9
0
12 Oct 2023
SEER : A Knapsack approach to Exemplar Selection for In-Context HybridQA
SEER : A Knapsack approach to Exemplar Selection for In-Context HybridQA
Jonathan Tonglet
Manon Reusens
Philipp Borchert
Bart Baesens
38
5
0
10 Oct 2023
Fine-tune Language Models to Approximate Unbiased In-context Learning
Fine-tune Language Models to Approximate Unbiased In-context Learning
Timothy Chu
Zhao-quan Song
Chiwun Yang
27
15
0
05 Oct 2023
Dynamic Demonstrations Controller for In-Context Learning
Dynamic Demonstrations Controller for In-Context Learning
Fei Zhao
Taotian Pang
Zhen Wu
Zheng Ma
Shujian Huang
Xinyu Dai
27
5
0
30 Sep 2023
In-Context Learning Learns Label Relationships but Is Not Conventional
  Learning
In-Context Learning Learns Label Relationships but Is Not Conventional Learning
Jannik Kossen
Y. Gal
Tom Rainforth
37
27
0
23 Jul 2023
Skill-Based Few-Shot Selection for In-Context Learning
Skill-Based Few-Shot Selection for In-Context Learning
Shengnan An
Bo Zhou
Zeqi Lin
Qiang Fu
B. Chen
Nanning Zheng
Weizhu Chen
Jian-Guang Lou
36
31
0
23 May 2023
Iterative Forward Tuning Boosts In-Context Learning in Language Models
Iterative Forward Tuning Boosts In-Context Learning in Language Models
Jiaxi Yang
Binyuan Hui
Min Yang
Bailin Wang
Bowen Li
Binhua Li
Fei Huang
Yongbin Li
35
16
0
22 May 2023
Cue-CoT: Chain-of-thought Prompting for Responding to In-depth Dialogue
  Questions with LLMs
Cue-CoT: Chain-of-thought Prompting for Responding to In-depth Dialogue Questions with LLMs
Hongru Wang
Rui Wang
Fei Mi
Yang Deng
Zezhong Wang
Bin Liang
Ruifeng Xu
Kam-Fai Wong
LRM
33
55
0
19 May 2023
MoT: Memory-of-Thought Enables ChatGPT to Self-Improve
MoT: Memory-of-Thought Enables ChatGPT to Self-Improve
Xiaonan Li
Xipeng Qiu
ReLM
KELM
LRM
AI4MH
26
32
0
09 May 2023
Unified Demonstration Retriever for In-Context Learning
Unified Demonstration Retriever for In-Context Learning
Xiaonan Li
Kai Lv
Hang Yan
Tianya Lin
Wei-wei Zhu
Yuan Ni
Guotong Xie
Xiaoling Wang
Xipeng Qiu
RALM
VPVLM
19
121
0
07 May 2023
Improving Contrastive Learning of Sentence Embeddings from AI Feedback
Improving Contrastive Learning of Sentence Embeddings from AI Feedback
M. Abouheaf
W. Gueaieb
Md. Suruz Miah
D. Spinello
Xipeng Qiu
59
37
0
03 May 2023
ChatGPT Evaluation on Sentence Level Relations: A Focus on Temporal,
  Causal, and Discourse Relations
ChatGPT Evaluation on Sentence Level Relations: A Focus on Temporal, Causal, and Discourse Relations
Chunkit Chan
Cheng Jiayang
Weiqi Wang
Yuxin Jiang
Tianqing Fang
Xin Liu
Yangqiu Song
LRM
86
60
0
28 Apr 2023
Large Language Model Instruction Following: A Survey of Progresses and
  Challenges
Large Language Model Instruction Following: A Survey of Progresses and Challenges
Renze Lou
Kai Zhang
Wenpeng Yin
ALM
LRM
29
20
0
18 Mar 2023
A Survey on In-context Learning
A Survey on In-context Learning
Qingxiu Dong
Lei Li
Damai Dai
Ce Zheng
Jingyuan Ma
...
Zhiyong Wu
Baobao Chang
Xu Sun
Lei Li
Zhifang Sui
ReLM
AIMat
20
462
0
31 Dec 2022
ProGen: Progressive Zero-shot Dataset Generation via In-context Feedback
ProGen: Progressive Zero-shot Dataset Generation via In-context Feedback
Jiacheng Ye
Jiahui Gao
Jiangtao Feng
Zhiyong Wu
Tao Yu
Lingpeng Kong
SyDa
VLM
76
72
0
22 Oct 2022
On the Relation between Sensitivity and Accuracy in In-context Learning
On the Relation between Sensitivity and Accuracy in In-context Learning
Yanda Chen
Chen Zhao
Zhou Yu
Kathleen McKeown
He He
182
77
0
16 Sep 2022
Core-set Sampling for Efficient Neural Architecture Search
Core-set Sampling for Efficient Neural Architecture Search
Jaewoong Shim
Kyeongbo Kong
Suk-Ju Kang
140
23
0
08 Jul 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
GRAD-MATCH: Gradient Matching based Data Subset Selection for Efficient
  Deep Model Training
GRAD-MATCH: Gradient Matching based Data Subset Selection for Efficient Deep Model Training
Krishnateja Killamsetty
D. Sivasubramanian
Ganesh Ramakrishnan
A. De
Rishabh K. Iyer
OOD
91
188
0
27 Feb 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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