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Larger language models do in-context learning differently

Larger language models do in-context learning differently

7 March 2023
Jerry W. Wei
Jason W. Wei
Yi Tay
Dustin Tran
Albert Webson
Yifeng Lu
Xinyun Chen
Hanxiao Liu
Da Huang
Denny Zhou
Tengyu Ma
    ReLM
    LRM
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Papers citing "Larger language models do in-context learning differently"

50 / 280 papers shown
Title
Locally Differentially Private In-Context Learning
Locally Differentially Private In-Context Learning
Chunyan Zheng
Keke Sun
Wenhao Zhao
Haibo Zhou
Lixin Jiang
Shaoyang Song
Chunlai Zhou
42
2
0
07 May 2024
Beyond Performance: Quantifying and Mitigating Label Bias in LLMs
Beyond Performance: Quantifying and Mitigating Label Bias in LLMs
Philipp Benz
Maitreya Patel
126
10
0
04 May 2024
What Makes Multimodal In-Context Learning Work?
What Makes Multimodal In-Context Learning Work?
Folco Bertini Baldassini
Mustafa Shukor
Matthieu Cord
Laure Soulier
Benjamin Piwowarski
40
18
0
24 Apr 2024
SkinGEN: an Explainable Dermatology Diagnosis-to-Generation Framework with Interactive Vision-Language Models
SkinGEN: an Explainable Dermatology Diagnosis-to-Generation Framework with Interactive Vision-Language Models
Bo Lin
Yingjing Xu
Xuanwen Bao
Zhou Zhao
Zuyong Zhang
Zhouyang Wang
59
2
0
23 Apr 2024
LLM-R2: A Large Language Model Enhanced Rule-based Rewrite System for
  Boosting Query Efficiency
LLM-R2: A Large Language Model Enhanced Rule-based Rewrite System for Boosting Query Efficiency
Zhaodonghui Li
Haitao Yuan
Huiming Wang
Gao Cong
Lidong Bing
24
5
0
19 Apr 2024
Relevant or Random: Can LLMs Truly Perform Analogical Reasoning?
Relevant or Random: Can LLMs Truly Perform Analogical Reasoning?
Chengwei Qin
Wenhan Xia
Tan Wang
Fangkai Jiao
Yuchen Hu
Bosheng Ding
Ruirui Chen
Shafiq R. Joty
LRM
37
3
0
19 Apr 2024
Look Before You Decide: Prompting Active Deduction of MLLMs for Assumptive Reasoning
Look Before You Decide: Prompting Active Deduction of MLLMs for Assumptive Reasoning
Yian Li
Wentao Tian
Yang Jiao
Jingjing Chen
Yueping Jiang
Bin Zhu
Na Zhao
Yu-Gang Jiang
LRM
43
9
0
19 Apr 2024
Stance Detection on Social Media with Fine-Tuned Large Language Models
Stance Detection on Social Media with Fine-Tuned Large Language Models
Ilker Gül
R. Lebret
Karl Aberer
21
7
0
18 Apr 2024
Many-Shot In-Context Learning
Many-Shot In-Context Learning
Rishabh Agarwal
Avi Singh
Lei M. Zhang
Bernd Bohnet
Luis Rosias
...
John D. Co-Reyes
Eric Chu
Feryal M. P. Behbahani
Aleksandra Faust
Hugo Larochelle
ReLM
OffRL
BDL
63
96
0
17 Apr 2024
Fewer Truncations Improve Language Modeling
Fewer Truncations Improve Language Modeling
Hantian Ding
Zijian Wang
Giovanni Paolini
Varun Kumar
Anoop Deoras
Dan Roth
Stefano Soatto
61
13
0
16 Apr 2024
Unveiling the Misuse Potential of Base Large Language Models via
  In-Context Learning
Unveiling the Misuse Potential of Base Large Language Models via In-Context Learning
Xiao Wang
Tianze Chen
Xianjun Yang
Qi Zhang
Xun Zhao
Dahua Lin
ELM
46
7
0
16 Apr 2024
From Words to Numbers: Your Large Language Model Is Secretly A Capable
  Regressor When Given In-Context Examples
From Words to Numbers: Your Large Language Model Is Secretly A Capable Regressor When Given In-Context Examples
Robert Vacareanu
Vlad-Andrei Negru
Vasile Suciu
Mihai Surdeanu
31
28
0
11 Apr 2024
Elephants Never Forget: Memorization and Learning of Tabular Data in
  Large Language Models
Elephants Never Forget: Memorization and Learning of Tabular Data in Large Language Models
Sebastian Bordt
Harsha Nori
Vanessa Rodrigues
Besmira Nushi
Rich Caruana
38
12
0
09 Apr 2024
How does Multi-Task Training Affect Transformer In-Context Capabilities?
  Investigations with Function Classes
How does Multi-Task Training Affect Transformer In-Context Capabilities? Investigations with Function Classes
Harmon Bhasin
Timothy Ossowski
Yiqiao Zhong
Junjie Hu
22
0
0
04 Apr 2024
Towards detecting unanticipated bias in Large Language Models
Towards detecting unanticipated bias in Large Language Models
Anna Kruspe
33
3
0
03 Apr 2024
Deconstructing In-Context Learning: Understanding Prompts via Corruption
Deconstructing In-Context Learning: Understanding Prompts via Corruption
Namrata Shivagunde
Vladislav Lialin
Sherin Muckatira
Anna Rumshisky
38
2
0
02 Apr 2024
PREGO: online mistake detection in PRocedural EGOcentric videos
PREGO: online mistake detection in PRocedural EGOcentric videos
Alessandro Flaborea
Guido Maria DÁmely di Melendugno
Leonardo Plini
Luca Scofano
Edoardo De Matteis
Antonino Furnari
G. Farinella
Fabio Galasso
EgoV
56
11
0
02 Apr 2024
Survey on Large Language Model-Enhanced Reinforcement Learning: Concept,
  Taxonomy, and Methods
Survey on Large Language Model-Enhanced Reinforcement Learning: Concept, Taxonomy, and Methods
Yuji Cao
Huan Zhao
Yuheng Cheng
Ting Shu
Guolong Liu
Gaoqi Liang
Junhua Zhao
Yun Li
LLMAG
KELM
OffRL
LM&Ro
35
50
0
30 Mar 2024
Improving Text-to-Image Consistency via Automatic Prompt Optimization
Improving Text-to-Image Consistency via Automatic Prompt Optimization
Oscar Manas
Pietro Astolfi
Melissa Hall
Candace Ross
Jack Urbanek
Adina Williams
Aishwarya Agrawal
Adriana Romero Soriano
M. Drozdzal
36
27
0
26 Mar 2024
Automate Knowledge Concept Tagging on Math Questions with LLMs
Automate Knowledge Concept Tagging on Math Questions with LLMs
Hang Li
Tianlong Xu
Jiliang Tang
Qingsong Wen
40
3
0
26 Mar 2024
The Strong Pull of Prior Knowledge in Large Language Models and Its
  Impact on Emotion Recognition
The Strong Pull of Prior Knowledge in Large Language Models and Its Impact on Emotion Recognition
Georgios Chochlakis
Alexandros Potamianos
Kristina Lerman
Shrikanth Narayanan
37
5
0
25 Mar 2024
IllusionVQA: A Challenging Optical Illusion Dataset for Vision Language
  Models
IllusionVQA: A Challenging Optical Illusion Dataset for Vision Language Models
Haz Sameen Shahgir
Khondker Salman Sayeed
Abhik Bhattacharjee
Wasi Uddin Ahmad
Yue Dong
Rifat Shahriyar
VLM
MLLM
45
10
0
23 Mar 2024
Characteristic AI Agents via Large Language Models
Characteristic AI Agents via Large Language Models
Xi Wang
Hongliang Dai
Shen Gao
Piji Li
48
3
0
19 Mar 2024
Enhancing LLM Factual Accuracy with RAG to Counter Hallucinations: A
  Case Study on Domain-Specific Queries in Private Knowledge-Bases
Enhancing LLM Factual Accuracy with RAG to Counter Hallucinations: A Case Study on Domain-Specific Queries in Private Knowledge-Bases
Jiarui Li
Ye Yuan
Zehua Zhang
RALM
20
45
0
15 Mar 2024
The Whole is Better than the Sum: Using Aggregated Demonstrations in
  In-Context Learning for Sequential Recommendation
The Whole is Better than the Sum: Using Aggregated Demonstrations in In-Context Learning for Sequential Recommendation
Lei Wang
Ee-Peng Lim
RALM
27
5
0
15 Mar 2024
Rectifying Demonstration Shortcut in In-Context Learning
Rectifying Demonstration Shortcut in In-Context Learning
Joonwon Jang
Sanghwan Jang
Wonbin Kweon
Minjin Jeon
Hwanjo Yu
37
1
0
14 Mar 2024
Materials science in the era of large language models: a perspective
Materials science in the era of large language models: a perspective
Ge Lei
Ronan Docherty
Samuel J. Cooper
45
18
0
11 Mar 2024
DRAK: Unlocking Molecular Insights with Domain-Specific
  Retrieval-Augmented Knowledge in LLMs
DRAK: Unlocking Molecular Insights with Domain-Specific Retrieval-Augmented Knowledge in LLMs
Jinzhe Liu
Xiangsheng Huang
Zhuo Chen
Yin Fang
52
3
0
04 Mar 2024
API Is Enough: Conformal Prediction for Large Language Models Without
  Logit-Access
API Is Enough: Conformal Prediction for Large Language Models Without Logit-Access
Jiayuan Su
Jing Luo
Hongwei Wang
Lu Cheng
79
16
0
02 Mar 2024
tinyBenchmarks: evaluating LLMs with fewer examples
tinyBenchmarks: evaluating LLMs with fewer examples
Felipe Maia Polo
Lucas Weber
Leshem Choshen
Yuekai Sun
Gongjun Xu
Mikhail Yurochkin
ELM
26
77
0
22 Feb 2024
Linear Transformers are Versatile In-Context Learners
Linear Transformers are Versatile In-Context Learners
Max Vladymyrov
J. Oswald
Mark Sandler
Rong Ge
34
13
0
21 Feb 2024
Learning to Poison Large Language Models During Instruction Tuning
Learning to Poison Large Language Models During Instruction Tuning
Yao Qiang
Xiangyu Zhou
Saleh Zare Zade
Mohammad Amin Roshani
Douglas Zytko
Dongxiao Zhu
AAML
SILM
40
20
0
21 Feb 2024
The Impact of Demonstrations on Multilingual In-Context Learning: A
  Multidimensional Analysis
The Impact of Demonstrations on Multilingual In-Context Learning: A Multidimensional Analysis
Miaoran Zhang
Vagrant Gautam
Mingyang Wang
Jesujoba Oluwadara Alabi
Xiaoyu Shen
Dietrich Klakow
Marius Mosbach
47
8
0
20 Feb 2024
Language Models Don't Learn the Physical Manifestation of Language
Language Models Don't Learn the Physical Manifestation of Language
Bruce W. Lee
Jaehyuk Lim
LRM
40
3
0
17 Feb 2024
MoRAL: MoE Augmented LoRA for LLMs' Lifelong Learning
MoRAL: MoE Augmented LoRA for LLMs' Lifelong Learning
Shu Yang
Muhammad Asif Ali
Cheng-Long Wang
Lijie Hu
Di Wang
CLL
MoE
37
38
0
17 Feb 2024
Understanding In-Context Learning with a Pelican Soup Framework
Understanding In-Context Learning with a Pelican Soup Framework
Ting-Rui Chiang
Dani Yogatama
16
1
0
16 Feb 2024
A Trembling House of Cards? Mapping Adversarial Attacks against Language
  Agents
A Trembling House of Cards? Mapping Adversarial Attacks against Language Agents
Lingbo Mo
Zeyi Liao
Boyuan Zheng
Yu-Chuan Su
Chaowei Xiao
Huan Sun
AAML
LLMAG
49
15
0
15 Feb 2024
Universal Link Predictor By In-Context Learning on Graphs
Universal Link Predictor By In-Context Learning on Graphs
Kaiwen Dong
Haitao Mao
Zhichun Guo
Nitesh V. Chawla
25
4
0
12 Feb 2024
NICE: To Optimize In-Context Examples or Not?
NICE: To Optimize In-Context Examples or Not?
Pragya Srivastava
Satvik Golechha
Amit Deshpande
Amit Sharma
22
5
0
09 Feb 2024
In-Context Principle Learning from Mistakes
In-Context Principle Learning from Mistakes
Tianjun Zhang
Aman Madaan
Luyu Gao
Steven Zheng
Swaroop Mishra
Yiming Yang
Niket Tandon
Uri Alon
KELM
ReLM
33
23
0
08 Feb 2024
In-context learning agents are asymmetric belief updaters
In-context learning agents are asymmetric belief updaters
Johannes A. Schubert
A. Jagadish
Marcel Binz
Eric Schulz
LLMAG
15
9
0
06 Feb 2024
Large Language Models to Enhance Bayesian Optimization
Large Language Models to Enhance Bayesian Optimization
Tennison Liu
Nicolás Astorga
Nabeel Seedat
M. Schaar
66
46
0
06 Feb 2024
The Matrix: A Bayesian learning model for LLMs
The Matrix: A Bayesian learning model for LLMs
Siddhartha Dalal
Vishal Misra
23
1
0
05 Feb 2024
How do Large Language Models Learn In-Context? Query and Key Matrices of
  In-Context Heads are Two Towers for Metric Learning
How do Large Language Models Learn In-Context? Query and Key Matrices of In-Context Heads are Two Towers for Metric Learning
Zeping Yu
Sophia Ananiadou
48
7
0
05 Feb 2024
When Benchmarks are Targets: Revealing the Sensitivity of Large Language
  Model Leaderboards
When Benchmarks are Targets: Revealing the Sensitivity of Large Language Model Leaderboards
Norah A. Alzahrani
H. A. Alyahya
Sultan Yazeed Alnumay
Muhtasim Tahmid
Shaykhah Alsubaie
...
Saleh Soltan
Nathan Scales
Marie-Anne Lachaux
Samuel R. Bowman
Haidar Khan
ELM
17
69
0
01 Feb 2024
Rethinking Interpretability in the Era of Large Language Models
Rethinking Interpretability in the Era of Large Language Models
Chandan Singh
J. Inala
Michel Galley
Rich Caruana
Jianfeng Gao
LRM
AI4CE
77
62
0
30 Jan 2024
ToPro: Token-Level Prompt Decomposition for Cross-Lingual Sequence
  Labeling Tasks
ToPro: Token-Level Prompt Decomposition for Cross-Lingual Sequence Labeling Tasks
Bolei Ma
Ercong Nie
Shuzhou Yuan
Helmut Schmid
Michael Farber
Frauke Kreuter
Hinrich Schütze
VLM
100
5
0
29 Jan 2024
An Information-Theoretic Analysis of In-Context Learning
An Information-Theoretic Analysis of In-Context Learning
Hong Jun Jeon
Jason D. Lee
Qi Lei
Benjamin Van Roy
27
18
0
28 Jan 2024
In-Context Language Learning: Architectures and Algorithms
In-Context Language Learning: Architectures and Algorithms
Ekin Akyürek
Bailin Wang
Yoon Kim
Jacob Andreas
LRM
ReLM
45
42
0
23 Jan 2024
An Empirical Study of In-context Learning in LLMs for Machine
  Translation
An Empirical Study of In-context Learning in LLMs for Machine Translation
Pranjal A. Chitale
Jay Gala
Raj Dabre
LRM
31
5
0
22 Jan 2024
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