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Effective Demonstration Annotation for In-Context Learning via Language
  Model-Based Determinantal Point Process

Effective Demonstration Annotation for In-Context Learning via Language Model-Based Determinantal Point Process

4 August 2024
Peng Wang
Xiaobin Wang
Chao Lou
Shengyu Mao
Pengjun Xie
Yong Jiang
ArXivPDFHTML

Papers citing "Effective Demonstration Annotation for In-Context Learning via Language Model-Based Determinantal Point Process"

13 / 13 papers shown
Title
Demystifying Prompts in Language Models via Perplexity Estimation
Demystifying Prompts in Language Models via Perplexity Estimation
Hila Gonen
Srini Iyer
Terra Blevins
Noah A. Smith
Luke Zettlemoyer
LRM
78
200
0
08 Dec 2022
BLOOM: A 176B-Parameter Open-Access Multilingual Language Model
BLOOM: A 176B-Parameter Open-Access Multilingual Language Model
BigScience Workshop
:
Teven Le Scao
Angela Fan
Christopher Akiki
...
Zhongli Xie
Zifan Ye
M. Bras
Younes Belkada
Thomas Wolf
VLM
266
2,348
0
09 Nov 2022
Active Example Selection for In-Context Learning
Active Example Selection for In-Context Learning
Yiming Zhang
Shi Feng
Chenhao Tan
SILM
LRM
60
191
0
08 Nov 2022
Selective Annotation Makes Language Models Better Few-Shot Learners
Selective Annotation Makes Language Models Better Few-Shot Learners
Hongjin Su
Jungo Kasai
Chen Henry Wu
Weijia Shi
Tianlu Wang
...
Rui Zhang
Mari Ostendorf
Luke Zettlemoyer
Noah A. Smith
Tao Yu
65
251
0
05 Sep 2022
Learning To Retrieve Prompts for In-Context Learning
Learning To Retrieve Prompts for In-Context Learning
Ohad Rubin
Jonathan Herzig
Jonathan Berant
VPVLM
RALM
43
679
0
16 Dec 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
324
1,343
0
17 Jan 2021
Evaluating the Factual Consistency of Abstractive Text Summarization
Evaluating the Factual Consistency of Abstractive Text Summarization
Wojciech Kry'sciñski
Bryan McCann
Caiming Xiong
R. Socher
HILM
62
739
0
28 Oct 2019
ALBERT: A Lite BERT for Self-supervised Learning of Language
  Representations
ALBERT: A Lite BERT for Self-supervised Learning of Language Representations
Zhenzhong Lan
Mingda Chen
Sebastian Goodman
Kevin Gimpel
Piyush Sharma
Radu Soricut
SSL
AIMat
246
6,420
0
26 Sep 2019
Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks
Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks
Nils Reimers
Iryna Gurevych
545
11,979
0
27 Aug 2019
Don't Give Me the Details, Just the Summary! Topic-Aware Convolutional
  Neural Networks for Extreme Summarization
Don't Give Me the Details, Just the Summary! Topic-Aware Convolutional Neural Networks for Extreme Summarization
Shashi Narayan
Shay B. Cohen
Mirella Lapata
AILaw
97
1,652
0
27 Aug 2018
A Broad-Coverage Challenge Corpus for Sentence Understanding through
  Inference
A Broad-Coverage Challenge Corpus for Sentence Understanding through Inference
Adina Williams
Nikita Nangia
Samuel R. Bowman
376
4,444
0
18 Apr 2017
SQuAD: 100,000+ Questions for Machine Comprehension of Text
SQuAD: 100,000+ Questions for Machine Comprehension of Text
Pranav Rajpurkar
Jian Zhang
Konstantin Lopyrev
Percy Liang
RALM
135
8,067
0
16 Jun 2016
Determinantal point processes for machine learning
Determinantal point processes for machine learning
Alex Kulesza
B. Taskar
211
1,130
0
25 Jul 2012
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