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A Few More Examples May Be Worth Billions of Parameters

A Few More Examples May Be Worth Billions of Parameters

8 October 2021
Yuval Kirstain
Patrick Lewis
Sebastian Riedel
Omer Levy
ArXivPDFHTML

Papers citing "A Few More Examples May Be Worth Billions of Parameters"

23 / 23 papers shown
Title
On the generalization of language models from in-context learning and finetuning: a controlled study
On the generalization of language models from in-context learning and finetuning: a controlled study
Andrew Kyle Lampinen
Arslan Chaudhry
Stephanie Chan
Cody Wild
Diane Wan
Alex Ku
Jorg Bornschein
Razvan Pascanu
Murray Shanahan
James L. McClelland
46
0
0
01 May 2025
AnomalyR1: A GRPO-based End-to-end MLLM for Industrial Anomaly Detection
AnomalyR1: A GRPO-based End-to-end MLLM for Industrial Anomaly Detection
Yuhao Chao
Jie Liu
J. Tang
Gangshan Wu
35
1
0
16 Apr 2025
ABC Align: Large Language Model Alignment for Safety & Accuracy
ABC Align: Large Language Model Alignment for Safety & Accuracy
Gareth Seneque
Lap-Hang Ho
Peter W. Glynn
Yinyu Ye
Jeffrey Molendijk
41
1
0
01 Aug 2024
Investigating Multilingual Instruction-Tuning: Do Polyglot Models Demand
  for Multilingual Instructions?
Investigating Multilingual Instruction-Tuning: Do Polyglot Models Demand for Multilingual Instructions?
Alexander Arno Weber
Klaudia Thellmann
Jan Ebert
Nicolas Flores-Herr
Jens Lehmann
Michael Fromm
Mehdi Ali
38
4
0
21 Feb 2024
Multi-modal preference alignment remedies regression of visual
  instruction tuning on language model
Multi-modal preference alignment remedies regression of visual instruction tuning on language model
Shengzhi Li
Rongyu Lin
Shichao Pei
40
20
0
16 Feb 2024
Improving Sequential Recommendations with LLMs
Improving Sequential Recommendations with LLMs
Artun Boz
Wouter Zorgdrager
Zoe Kotti
Jesse Harte
Panos Louridas
Dietmar Jannach
Vassilios Karakoidas
Marios Fragkoulis
KELM
LRM
70
4
0
02 Feb 2024
Efficient Online Data Mixing For Language Model Pre-Training
Efficient Online Data Mixing For Language Model Pre-Training
Alon Albalak
Liangming Pan
Colin Raffel
Luu Anh Tuan
30
32
0
05 Dec 2023
Cognitive Mirage: A Review of Hallucinations in Large Language Models
Cognitive Mirage: A Review of Hallucinations in Large Language Models
Hongbin Ye
Tong Liu
Aijia Zhang
Wei Hua
Weiqiang Jia
HILM
48
76
0
13 Sep 2023
LIMA: Less Is More for Alignment
LIMA: Less Is More for Alignment
Chunting Zhou
Pengfei Liu
Puxin Xu
Srini Iyer
Jiao Sun
...
Susan Zhang
Gargi Ghosh
M. Lewis
Luke Zettlemoyer
Omer Levy
ALM
24
779
0
18 May 2023
Distill or Annotate? Cost-Efficient Fine-Tuning of Compact Models
Distill or Annotate? Cost-Efficient Fine-Tuning of Compact Models
Junmo Kang
Wei-ping Xu
Alan Ritter
47
15
0
02 May 2023
The unreasonable effectiveness of few-shot learning for machine
  translation
The unreasonable effectiveness of few-shot learning for machine translation
Xavier Garcia
Yamini Bansal
Colin Cherry
George F. Foster
M. Krikun
Fan Feng
Melvin Johnson
Orhan Firat
38
102
0
02 Feb 2023
Leveraging pre-trained language models for conversational information
  seeking from text
Leveraging pre-trained language models for conversational information seeking from text
Patrizio Bellan
M. Dragoni
Chiara Ghidini
24
6
0
31 Mar 2022
The Ghost in the Machine has an American accent: value conflict in GPT-3
The Ghost in the Machine has an American accent: value conflict in GPT-3
Rebecca Lynn Johnson
Giada Pistilli
Natalia Menédez-González
Leslye Denisse Dias Duran
Enrico Panai
Julija Kalpokienė
D. Bertulfo
22
83
0
15 Mar 2022
Scaling Laws Under the Microscope: Predicting Transformer Performance
  from Small Scale Experiments
Scaling Laws Under the Microscope: Predicting Transformer Performance from Small Scale Experiments
Maor Ivgi
Y. Carmon
Jonathan Berant
13
17
0
13 Feb 2022
Gophormer: Ego-Graph Transformer for Node Classification
Gophormer: Ego-Graph Transformer for Node Classification
Jianan Zhao
Chaozhuo Li
Qian Wen
Yiqi Wang
Yuming Liu
Hao Sun
Xing Xie
Yanfang Ye
24
76
0
25 Oct 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
The Power of Scale for Parameter-Efficient Prompt Tuning
The Power of Scale for Parameter-Efficient Prompt Tuning
Brian Lester
Rami Al-Rfou
Noah Constant
VPVLM
280
3,848
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
Making Pre-trained Language Models Better Few-shot Learners
Making Pre-trained Language Models Better Few-shot Learners
Tianyu Gao
Adam Fisch
Danqi Chen
241
1,919
0
31 Dec 2020
Exploiting Cloze Questions for Few Shot Text Classification and Natural
  Language Inference
Exploiting Cloze Questions for Few Shot Text Classification and Natural Language Inference
Timo Schick
Hinrich Schütze
258
1,589
0
21 Jan 2020
Language Models as Knowledge Bases?
Language Models as Knowledge Bases?
Fabio Petroni
Tim Rocktaschel
Patrick Lewis
A. Bakhtin
Yuxiang Wu
Alexander H. Miller
Sebastian Riedel
KELM
AI4MH
415
2,588
0
03 Sep 2019
Hypothesis Only Baselines in Natural Language Inference
Hypothesis Only Baselines in Natural Language Inference
Adam Poliak
Jason Naradowsky
Aparajita Haldar
Rachel Rudinger
Benjamin Van Durme
190
576
0
02 May 2018
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language
  Understanding
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding
Alex Jinpeng Wang
Amanpreet Singh
Julian Michael
Felix Hill
Omer Levy
Samuel R. Bowman
ELM
297
6,959
0
20 Apr 2018
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