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Few-shot Fine-tuning vs. In-context Learning: A Fair Comparison and
  Evaluation

Few-shot Fine-tuning vs. In-context Learning: A Fair Comparison and Evaluation

26 May 2023
Marius Mosbach
Tiago Pimentel
Shauli Ravfogel
Dietrich Klakow
Yanai Elazar
ArXivPDFHTML

Papers citing "Few-shot Fine-tuning vs. In-context Learning: A Fair Comparison and Evaluation"

35 / 35 papers shown
Title
Retrieval Augmented Generation Evaluation for Health Documents
Retrieval Augmented Generation Evaluation for Health Documents
Mario Ceresa
Lorenzo Bertolini
Valentin Comte
Nicholas Spadaro
Barbara Raffael
...
Sergio Consoli
Amalia Muñoz Piñeiro
Alex Patak
Maddalena Querci
Tobias Wiesenthal
RALM
3DV
39
0
1
07 May 2025
Synthline: A Product Line Approach for Synthetic Requirements Engineering Data Generation using Large Language Models
Synthline: A Product Line Approach for Synthetic Requirements Engineering Data Generation using Large Language Models
Abdelkarim El-Hajjami
Camille Salinesi
SyDa
39
0
0
06 May 2025
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
Memorization and Knowledge Injection in Gated LLMs
Memorization and Knowledge Injection in Gated LLMs
Xu Pan
Ely Hahami
Zechen Zhang
H. Sompolinsky
KELM
CLL
RALM
106
1
0
30 Apr 2025
From Large to Super-Tiny: End-to-End Optimization for Cost-Efficient LLMs
From Large to Super-Tiny: End-to-End Optimization for Cost-Efficient LLMs
Jiliang Ni
Jiachen Pu
Zhongyi Yang
Kun Zhou
Hui Wang
Xiaoliang Xiao
Dakui Wang
Xin Li
Jingfeng Luo
Conggang Hu
37
0
0
18 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
27
0
0
11 Apr 2025
System Log Parsing with Large Language Models: A Review
System Log Parsing with Large Language Models: A Review
Viktor Beck
Max Landauer
Markus Wurzenberger
Florian Skopik
Andreas Rauber
35
0
0
07 Apr 2025
Shh, don't say that! Domain Certification in LLMs
Shh, don't say that! Domain Certification in LLMs
Cornelius Emde
Alasdair Paren
Preetham Arvind
Maxime Kayser
Tom Rainforth
Thomas Lukasiewicz
Guohao Li
Philip Torr
Adel Bibi
53
1
0
26 Feb 2025
Self-Rationalization in the Wild: A Large Scale Out-of-Distribution Evaluation on NLI-related tasks
Self-Rationalization in the Wild: A Large Scale Out-of-Distribution Evaluation on NLI-related tasks
Jing Yang
Max Glockner
Anderson de Rezende Rocha
Iryna Gurevych
LRM
73
1
0
07 Feb 2025
FlanEC: Exploring Flan-T5 for Post-ASR Error Correction
FlanEC: Exploring Flan-T5 for Post-ASR Error Correction
Moreno La Quatra
Valerio Mario Salerno
Yu Tsao
Sabato Marco Siniscalchi
94
0
0
22 Jan 2025
In-Context Learning Distillation for Efficient Few-Shot Fine-Tuning
In-Context Learning Distillation for Efficient Few-Shot Fine-Tuning
Yifei Duan
Liu Li
Zirui Zhai
Jinxia Yao
78
0
0
17 Dec 2024
The Lou Dataset -- Exploring the Impact of Gender-Fair Language in
  German Text Classification
The Lou Dataset -- Exploring the Impact of Gender-Fair Language in German Text Classification
Andreas Waldis
Joel Birrer
Anne Lauscher
Iryna Gurevych
28
1
0
26 Sep 2024
Efficient LLM Context Distillation
Efficient LLM Context Distillation
Rajesh Upadhayayaya
Zachary Smith
Chritopher Kottmyer
Manish Raj Osti
50
1
0
03 Sep 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
34
0
0
06 Aug 2024
Dialogue Ontology Relation Extraction via Constrained Chain-of-Thought Decoding
Dialogue Ontology Relation Extraction via Constrained Chain-of-Thought Decoding
Renato Vukovic
David Arps
Carel van Niekerk
Benjamin Matthias Ruppik
Hsien-chin Lin
Michael Heck
Milica Gašić
49
1
0
05 Aug 2024
Stress-Testing Capability Elicitation With Password-Locked Models
Stress-Testing Capability Elicitation With Password-Locked Models
Ryan Greenblatt
Fabien Roger
Dmitrii Krasheninnikov
David M. Krueger
38
14
0
29 May 2024
In-Context Learning with Long-Context Models: An In-Depth Exploration
In-Context Learning with Long-Context Models: An In-Depth Exploration
Amanda Bertsch
Maor Ivgi
Uri Alon
Jonathan Berant
Matthew R. Gormley
Matthew R. Gormley
Graham Neubig
ReLM
AIMat
93
64
0
30 Apr 2024
LLMParser: An Exploratory Study on Using Large Language Models for Log
  Parsing
LLMParser: An Exploratory Study on Using Large Language Models for Log Parsing
Zeyang Ma
A. Chen
Dong Jae Kim
Tse-Husn Chen
Shaowei Wang
32
45
0
27 Apr 2024
Privacy Preserving Prompt Engineering: A Survey
Privacy Preserving Prompt Engineering: A Survey
Kennedy Edemacu
Xintao Wu
49
18
0
09 Apr 2024
NoisyICL: A Little Noise in Model Parameters Calibrates In-context
  Learning
NoisyICL: A Little Noise in Model Parameters Calibrates In-context Learning
Yufeng Zhao
Yoshihiro Sakai
Naoya Inoue
33
3
0
08 Feb 2024
Mind the instructions: a holistic evaluation of consistency and
  interactions in prompt-based learning
Mind the instructions: a holistic evaluation of consistency and interactions in prompt-based learning
Lucas Weber
Elia Bruni
Dieuwke Hupkes
32
24
0
20 Oct 2023
FTFT: Efficient and Robust Fine-Tuning by Transferring Training Dynamics
FTFT: Efficient and Robust Fine-Tuning by Transferring Training Dynamics
Yupei Du
Albert Gatt
Dong Nguyen
31
1
0
10 Oct 2023
Measuring the Robustness of NLP Models to Domain Shifts
Measuring the Robustness of NLP Models to Domain Shifts
Nitay Calderon
Naveh Porat
Eyal Ben-David
Alexander Chapanin
Zorik Gekhman
Nadav Oved
Vitaly Shalumov
Roi Reichart
21
7
0
31 May 2023
Lexical Generalization Improves with Larger Models and Longer Training
Lexical Generalization Improves with Larger Models and Longer Training
Elron Bandel
Yoav Goldberg
Yanai Elazar
55
6
0
23 Oct 2022
Exploring The Landscape of Distributional Robustness for Question
  Answering Models
Exploring The Landscape of Distributional Robustness for Question Answering Models
Anas Awadalla
Mitchell Wortsman
Gabriel Ilharco
Sewon Min
Ian H. Magnusson
Hannaneh Hajishirzi
Ludwig Schmidt
ELM
OOD
KELM
72
19
0
22 Oct 2022
State-of-the-art generalisation research in NLP: A taxonomy and review
State-of-the-art generalisation research in NLP: A taxonomy and review
Dieuwke Hupkes
Mario Giulianelli
Verna Dankers
Mikel Artetxe
Yanai Elazar
...
Leila Khalatbari
Maria Ryskina
Rita Frieske
Ryan Cotterell
Zhijing Jin
121
94
0
06 Oct 2022
Linear Connectivity Reveals Generalization Strategies
Linear Connectivity Reveals Generalization Strategies
Jeevesh Juneja
Rachit Bansal
Kyunghyun Cho
João Sedoc
Naomi Saphra
244
45
0
24 May 2022
Pre-Train Your Loss: Easy Bayesian Transfer Learning with Informative
  Priors
Pre-Train Your Loss: Easy Bayesian Transfer Learning with Informative Priors
Ravid Shwartz-Ziv
Micah Goldblum
Hossein Souri
Sanyam Kapoor
Chen Zhu
Yann LeCun
A. Wilson
UQCV
BDL
61
43
0
20 May 2022
Multitask Prompted Training Enables Zero-Shot Task Generalization
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
213
1,661
0
15 Oct 2021
Avoiding Inference Heuristics in Few-shot Prompt-based Finetuning
Avoiding Inference Heuristics in Few-shot Prompt-based Finetuning
Prasetya Ajie Utama
N. Moosavi
Victor Sanh
Iryna Gurevych
AAML
61
35
0
09 Sep 2021
Train Short, Test Long: Attention with Linear Biases Enables Input
  Length Extrapolation
Train Short, Test Long: Attention with Linear Biases Enables Input Length Extrapolation
Ofir Press
Noah A. Smith
M. Lewis
253
698
0
27 Aug 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
Making Pre-trained Language Models Better Few-shot Learners
Making Pre-trained Language Models Better Few-shot Learners
Tianyu Gao
Adam Fisch
Danqi Chen
243
1,924
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
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
6,984
0
20 Apr 2018
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