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2205.01703
Cited By
Improving In-Context Few-Shot Learning via Self-Supervised Training
3 May 2022
Mingda Chen
Jingfei Du
Ramakanth Pasunuru
Todor Mihaylov
Srini Iyer
Ves Stoyanov
Zornitsa Kozareva
SSL
AI4MH
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Papers citing
"Improving In-Context Few-Shot Learning via Self-Supervised Training"
50 / 54 papers shown
Title
Understanding Before Reasoning: Enhancing Chain-of-Thought with Iterative Summarization Pre-Prompting
Dong-Hai Zhu
Yu-Jie Xiong
Jia-Chen Zhang
Xi-Jiong Xie
Chun-Ming Xia
ReLM
LRM
37
0
0
08 Jan 2025
In-Context Learning with Iterative Demonstration Selection
Chengwei Qin
Aston Zhang
C. L. P. Chen
Anirudh Dagar
Wenming Ye
LRM
60
38
0
31 Dec 2024
Unlocking LLMs: Addressing Scarce Data and Bias Challenges in Mental Health
Vivek Kumar
Eirini Ntoutsi
Pushpraj Singh Rajawat
Giacomo Medda
Diego Reforgiato Recupero
AI4MH
79
0
0
17 Dec 2024
Enhancing Text Annotation through Rationale-Driven Collaborative Few-Shot Prompting
Jianfei Wu
Xubin Wang
Weijia Jia
22
1
0
15 Sep 2024
AI Safety in Generative AI Large Language Models: A Survey
Jaymari Chua
Yun Yvonna Li
Shiyi Yang
Chen Wang
Lina Yao
LM&MA
34
12
0
06 Jul 2024
Token-based Decision Criteria Are Suboptimal in In-context Learning
Hakaze Cho
Yoshihiro Sakai
Mariko Kato
Kenshiro Tanaka
Akira Ishii
Naoya Inoue
32
2
0
24 Jun 2024
Demonstration Augmentation for Zero-shot In-context Learning
Yi Su
Yunpeng Tai
Yixin Ji
Juntao Li
Bowen Yan
Min Zhang
RALM
33
6
0
03 Jun 2024
ARC: A Generalist Graph Anomaly Detector with In-Context Learning
Yixin Liu
Shiyuan Li
Yu Zheng
Qingfeng Chen
Chengqi Zhang
Shirui Pan
35
9
0
27 May 2024
Intuition-aware Mixture-of-Rank-1-Experts for Parameter Efficient Finetuning
Yijiang Liu
Rongyu Zhang
Huanrui Yang
Kurt Keutzer
Yuan Du
Li Du
Shanghang Zhang
MoE
36
5
0
13 Apr 2024
Comp4D: LLM-Guided Compositional 4D Scene Generation
Dejia Xu
Hanwen Liang
N. Bhatt
Hezhen Hu
Hanxue Liang
Konstantinos N. Plataniotis
Zhangyang Wang
34
23
0
25 Mar 2024
Characteristic AI Agents via Large Language Models
Xi Wang
Hongliang Dai
Shen Gao
Piji Li
43
3
0
19 Mar 2024
Meta-Prompting for Automating Zero-shot Visual Recognition with LLMs
M. Jehanzeb Mirza
Leonid Karlinsky
Wei Lin
Sivan Doveh
Jakub Micorek
Mateusz Koziñski
Hilde Kuhene
Horst Possegger
VLM
MLLM
34
13
0
18 Mar 2024
"In Dialogues We Learn": Towards Personalized Dialogue Without Pre-defined Profiles through In-Dialogue Learning
Chuanqi Cheng
Quan Tu
Wei Yu Wu
Shuo Shang
Cunli Mao
Zhengtao Yu
Rui Yan
18
2
0
05 Mar 2024
A Survey on Recent Advances in LLM-Based Multi-turn Dialogue Systems
Zihao Yi
Jiarui Ouyang
Yuwen Liu
Tianhao Liao
Zhe Xu
Ying Shen
LLMAG
LRM
47
57
0
28 Feb 2024
Retrieval-Augmented Data Augmentation for Low-Resource Domain Tasks
Minju Seo
Jinheon Baek
James Thorne
Sung Ju Hwang
RALM
27
8
0
21 Feb 2024
Large Language Models for Data Annotation: A Survey
Zhen Tan
Dawei Li
Song Wang
Alimohammad Beigi
Bohan Jiang
Amrita Bhattacharjee
Mansooreh Karami
Jundong Li
Lu Cheng
Huan Liu
SyDa
42
44
0
21 Feb 2024
Investigating Multi-Hop Factual Shortcuts in Knowledge Editing of Large Language Models
Tianjie Ju
Yijin Chen
Xinwei Yuan
Zhuosheng Zhang
Wei Du
Yubin Zheng
Gongshen Liu
KELM
18
5
0
19 Feb 2024
Superiority of Multi-Head Attention in In-Context Linear Regression
Yingqian Cui
Jie Ren
Pengfei He
Jiliang Tang
Yue Xing
31
12
0
30 Jan 2024
In-context Learning with Retrieved Demonstrations for Language Models: A Survey
an Luo
Xin Xu
Yue Liu
Panupong Pasupat
Mehran Kazemi
RALM
24
54
0
21 Jan 2024
Universal Vulnerabilities in Large Language Models: Backdoor Attacks for In-context Learning
Shuai Zhao
Meihuizi Jia
Anh Tuan Luu
Fengjun Pan
Jinming Wen
AAML
29
34
0
11 Jan 2024
Improving In-context Learning via Bidirectional Alignment
Chengwei Qin
Wenhan Xia
Fangkai Jiao
Chen Chen
Yuchen Hu
Bosheng Ding
Shafiq R. Joty
35
7
0
28 Dec 2023
Lever LM: Configuring In-Context Sequence to Lever Large Vision Language Models
Xu Yang
Yingzhe Peng
Haoxuan Ma
Shuo Xu
Chi Zhang
Yucheng Han
Hanwang Zhang
30
5
0
15 Dec 2023
Surpassing GPT-4 Medical Coding with a Two-Stage Approach
Zhichao Yang
S. S. Batra
Joel Stremmel
Eran Halperin
ELM
22
5
0
22 Nov 2023
How are Prompts Different in Terms of Sensitivity?
Sheng Lu
Hendrik Schuff
Iryna Gurevych
26
17
0
13 Nov 2023
Exploring In-Context Learning of Textless Speech Language Model for Speech Classification Tasks
Ming-Hao Hsu
Kai-Wei Chang
Shang-Wen Li
Hung-yi Lee
18
6
0
19 Oct 2023
Knowledgeable In-Context Tuning: Exploring and Exploiting Factual Knowledge for In-Context Learning
J. Wang
Chengyu Wang
Chuanqi Tan
Jun Huang
Ming Gao
KELM
26
4
0
26 Sep 2023
Cognitive Mirage: A Review of Hallucinations in Large Language Models
Hongbin Ye
Tong Liu
Aijia Zhang
Wei Hua
Weiqiang Jia
HILM
31
76
0
13 Sep 2023
ChatHaruhi: Reviving Anime Character in Reality via Large Language Model
Cheng Li
Ziang Leng
Chenxi Yan
Junyi Shen
Hao Wang
...
HaoSheng Wang
Linkang Zhan
Yaokai Jia
Pingyu Wu
Haozhen Sun
16
29
0
18 Aug 2023
An Effective Data Creation Pipeline to Generate High-quality Financial Instruction Data for Large Language Model
Ziao Wang
Jianning Wang
Junda Wu
Xiaofeng Zhang
ALM
13
0
0
31 Jul 2023
SINC: Self-Supervised In-Context Learning for Vision-Language Tasks
Yi-Syuan Chen
Yun-Zhu Song
Cheng Yu Yeo
Bei Liu
Jianlong Fu
Hong-Han Shuai
VLM
LRM
16
4
0
15 Jul 2023
Scaling In-Context Demonstrations with Structured Attention
Tianle Cai
Kaixuan Huang
Jason D. Lee
Mengdi Wang
LRM
17
8
0
05 Jul 2023
Interleaving Pre-Trained Language Models and Large Language Models for Zero-Shot NL2SQL Generation
Zihui Gu
Ju Fan
Nan Tang
Songyue Zhang
Yuxin Zhang
Zui Chen
Lei Cao
Guoliang Li
Sam Madden
Xiaoyong Du
16
21
0
15 Jun 2023
Aladdin: Zero-Shot Hallucination of Stylized 3D Assets from Abstract Scene Descriptions
Ian Huang
Vrishab Krishna
Omoruyi E. Atekha
Leonidas J. Guibas
DiffM
VGen
8
7
0
09 Jun 2023
Learning In-context Learning for Named Entity Recognition
Jiawei Chen
Yaojie Lu
Hongyu Lin
Jie Lou
Wei Jia
Dai Dai
Hua-Hong Wu
Boxi Cao
Xianpei Han
Le Sun
NAI
47
18
0
18 May 2023
Pre-Training to Learn in Context
Yuxian Gu
Li Dong
Furu Wei
Minlie Huang
CLIP
LRM
ReLM
106
37
0
16 May 2023
Small Models are Valuable Plug-ins for Large Language Models
Canwen Xu
Yichong Xu
Shuohang Wang
Yang Liu
Chenguang Zhu
Julian McAuley
LLMAG
34
42
0
15 May 2023
Revisiting Relation Extraction in the era of Large Language Models
Somin Wadhwa
Silvio Amir
Byron C. Wallace
ReLM
KELM
LRM
17
135
0
08 May 2023
Exploring Effective Factors for Improving Visual In-Context Learning
Yanpeng Sun
Qiang Chen
Jian Wang
Jingdong Wang
Zechao Li
LRM
VLM
41
17
0
10 Apr 2023
Using In-Context Learning to Improve Dialogue Safety
Nicholas Meade
Spandana Gella
Devamanyu Hazarika
Prakhar Gupta
Di Jin
Siva Reddy
Yang Liu
Dilek Z. Hakkani-Tür
17
31
0
02 Feb 2023
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
443
0
31 Dec 2022
Learning Instructions with Unlabeled Data for Zero-Shot Cross-Task Generalization
Yuxian Gu
Pei Ke
Xiaoyan Zhu
Minlie Huang
ALM
31
17
0
17 Oct 2022
Few-shot Adaptation Works with UnpredicTable Data
Jun Shern Chan
Michael Pieler
Jonathan Jao
Jérémy Scheurer
Ethan Perez
19
5
0
01 Aug 2022
LIFT: Language-Interfaced Fine-Tuning for Non-Language Machine Learning Tasks
Tuan Dinh
Yuchen Zeng
Ruisu Zhang
Ziqian Lin
Michael Gira
Shashank Rajput
Jy-yong Sohn
Dimitris Papailiopoulos
Kangwook Lee
LMTD
26
123
0
14 Jun 2022
Training language models to follow instructions with human feedback
Long Ouyang
Jeff Wu
Xu Jiang
Diogo Almeida
Carroll L. Wainwright
...
Amanda Askell
Peter Welinder
Paul Christiano
Jan Leike
Ryan J. Lowe
OSLM
ALM
301
11,730
0
04 Mar 2022
Multitask Prompted Training Enables Zero-Shot Task Generalization
Victor Sanh
Albert Webson
Colin Raffel
Stephen H. Bach
Lintang Sutawika
...
T. Bers
Stella Biderman
Leo Gao
Thomas Wolf
Alexander M. Rush
LRM
203
1,651
0
15 Oct 2021
Cross-lingual Intermediate Fine-tuning improves Dialogue State Tracking
Nikita Moghe
Mark Steedman
Alexandra Birch
17
13
0
28 Sep 2021
STraTA: Self-Training with Task Augmentation for Better Few-shot Learning
Tu Vu
Minh-Thang Luong
Quoc V. Le
Grady Simon
Mohit Iyyer
115
60
0
13 Sep 2021
FLEX: Unifying Evaluation for Few-Shot NLP
Jonathan Bragg
Arman Cohan
Kyle Lo
Iz Beltagy
191
103
0
15 Jul 2021
CrossFit: A Few-shot Learning Challenge for Cross-task Generalization in NLP
Qinyuan Ye
Bill Yuchen Lin
Xiang Ren
209
167
0
18 Apr 2021
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
274
882
0
18 Apr 2021
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