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Many-Shot In-Context Learning

Many-Shot In-Context Learning

17 April 2024
Rishabh Agarwal
Avi Singh
Lei M. Zhang
Bernd Bohnet
Luis Rosias
Stephanie C. Y. Chan
Biao Zhang
Ankesh Anand
Zaheer Abbas
Azade Nova
John D. Co-Reyes
Eric Chu
Feryal M. P. Behbahani
Aleksandra Faust
Hugo Larochelle
    ReLM
    OffRL
    BDL
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Papers citing "Many-Shot In-Context Learning"

39 / 39 papers shown
Title
Self-Generated In-Context Examples Improve LLM Agents for Sequential Decision-Making Tasks
Self-Generated In-Context Examples Improve LLM Agents for Sequential Decision-Making Tasks
Vishnu Sarukkai
Zhiqiang Xie
Kayvon Fatahalian
LLMAG
75
0
0
01 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
Large (Vision) Language Models are Unsupervised In-Context Learners
Large (Vision) Language Models are Unsupervised In-Context Learners
Artyom Gadetsky
Andrei Atanov
Yulun Jiang
Zhitong Gao
Ghazal Hosseini Mighan
Amir Zamir
Maria Brbić
VLM
MLLM
LRM
69
0
0
03 Apr 2025
Factored Agents: Decoupling In-Context Learning and Memorization for Robust Tool Use
Factored Agents: Decoupling In-Context Learning and Memorization for Robust Tool Use
Nicholas Roth
Christopher Hidey
Lucas Spangher
William Arnold
Chang Ye
Nick Masiewicki
Jinoo Baek
Peter Grabowski
Eugene Ie
LLMAG
50
0
0
29 Mar 2025
Reading the unreadable: Creating a dataset of 19th century English newspapers using image-to-text language models
Reading the unreadable: Creating a dataset of 19th century English newspapers using image-to-text language models
Jonathan Bourne
77
0
0
24 Feb 2025
Vector-ICL: In-context Learning with Continuous Vector Representations
Vector-ICL: In-context Learning with Continuous Vector Representations
Yufan Zhuang
Chandan Singh
Liyuan Liu
Jingbo Shang
Jianfeng Gao
52
3
0
21 Feb 2025
Sailor2: Sailing in South-East Asia with Inclusive Multilingual LLMs
Sailor2: Sailing in South-East Asia with Inclusive Multilingual LLMs
Longxu Dou
Qian Liu
Fan Zhou
Changyu Chen
Zili Wang
...
Tianyu Pang
Chao Du
Xinyi Wan
Wei Lu
Min Lin
106
1
0
18 Feb 2025
Do we still need Human Annotators? Prompting Large Language Models for Aspect Sentiment Quad Prediction
Nils Constantin Hellwig
Jakob Fehle
Udo Kruschwitz
Christian Wolff
AI4MH
46
0
0
18 Feb 2025
MathGAP: Out-of-Distribution Evaluation on Problems with Arbitrarily Complex Proofs
MathGAP: Out-of-Distribution Evaluation on Problems with Arbitrarily Complex Proofs
Andreas Opedal
Haruki Shirakami
Bernhard Schölkopf
Abulhair Saparov
Mrinmaya Sachan
LRM
57
1
0
17 Feb 2025
Has My System Prompt Been Used? Large Language Model Prompt Membership Inference
Has My System Prompt Been Used? Large Language Model Prompt Membership Inference
Roman Levin
Valeriia Cherepanova
Abhimanyu Hans
Avi Schwarzschild
Tom Goldstein
152
1
0
14 Feb 2025
Are Transformers Able to Reason by Connecting Separated Knowledge in Training Data?
Are Transformers Able to Reason by Connecting Separated Knowledge in Training Data?
Yutong Yin
Zhaoran Wang
LRM
ReLM
143
0
0
27 Jan 2025
360Brew: A Decoder-only Foundation Model for Personalized Ranking and Recommendation
360Brew: A Decoder-only Foundation Model for Personalized Ranking and Recommendation
Hamed Firooz
Maziar Sanjabi
Adrian Englhardt
Aman Gupta
Ben Levine
...
Xiaoling Zhai
Ya Xu
Yu Wang
Yun Dai
Yun Dai
ALM
42
3
0
27 Jan 2025
Episodic Memories Generation and Evaluation Benchmark for Large Language Models
Episodic Memories Generation and Evaluation Benchmark for Large Language Models
Alexis Huet
Zied Ben-Houidi
Dario Rossi
LLMAG
56
0
0
21 Jan 2025
Better Prompt Compression Without Multi-Layer Perceptrons
Better Prompt Compression Without Multi-Layer Perceptrons
Edouardo Honig
Andrew Lizarraga
Zijun Zhang
Ying Nian Wu
MQ
149
1
0
12 Jan 2025
Out-of-distribution generalization via composition: a lens through induction heads in Transformers
Out-of-distribution generalization via composition: a lens through induction heads in Transformers
Jiajun Song
Zhuoyan Xu
Yiqiao Zhong
85
4
0
31 Dec 2024
From Generation to Judgment: Opportunities and Challenges of LLM-as-a-judge
From Generation to Judgment: Opportunities and Challenges of LLM-as-a-judge
Dawei Li
Bohan Jiang
Liangjie Huang
Alimohammad Beigi
Chengshuai Zhao
...
Canyu Chen
Tianhao Wu
Kai Shu
Lu Cheng
Huan Liu
ELM
AILaw
120
67
0
25 Nov 2024
Needle Threading: Can LLMs Follow Threads through Near-Million-Scale Haystacks?
Needle Threading: Can LLMs Follow Threads through Near-Million-Scale Haystacks?
Jonathan Roberts
Kai Han
Samuel Albanie
LLMAG
144
0
0
07 Nov 2024
N-Gram Induction Heads for In-Context RL: Improving Stability and Reducing Data Needs
N-Gram Induction Heads for In-Context RL: Improving Stability and Reducing Data Needs
Ilya Zisman
Alexander Nikulin
Andrei Polubarov
Nikita Lyubaykin
Vladislav Kurenkov
Andrei Polubarov
Igor Kiselev
Vladislav Kurenkov
OffRL
50
1
0
04 Nov 2024
SQL Injection Jailbreak: A Structural Disaster of Large Language Models
SQL Injection Jailbreak: A Structural Disaster of Large Language Models
Jiawei Zhao
Kejiang Chen
Wenbo Zhang
Nenghai Yu
AAML
40
0
0
03 Nov 2024
What is Wrong with Perplexity for Long-context Language Modeling?
What is Wrong with Perplexity for Long-context Language Modeling?
Lizhe Fang
Yifei Wang
Zhaoyang Liu
Chenheng Zhang
Stefanie Jegelka
Jinyang Gao
Bolin Ding
Yisen Wang
66
6
0
31 Oct 2024
Toward Understanding In-context vs. In-weight Learning
Toward Understanding In-context vs. In-weight Learning
Bryan Chan
Xinyi Chen
András Gyorgy
Dale Schuurmans
72
4
0
30 Oct 2024
ELICIT: LLM Augmentation via External In-Context Capability
ELICIT: LLM Augmentation via External In-Context Capability
Futing Wang
Jianhao Yan
Yue Zhang
Tao Lin
41
0
0
12 Oct 2024
Wrong-of-Thought: An Integrated Reasoning Framework with
  Multi-Perspective Verification and Wrong Information
Wrong-of-Thought: An Integrated Reasoning Framework with Multi-Perspective Verification and Wrong Information
Yongheng Zhang
Qiguang Chen
Jingxuan Zhou
Peng Wang
Jiasheng Si
Jin Wang
Wenpeng Lu
Libo Qin
LRM
49
3
0
06 Oct 2024
In-context Learning in Presence of Spurious Correlations
In-context Learning in Presence of Spurious Correlations
Hrayr Harutyunyan
R. Darbinyan
Samvel Karapetyan
Hrant Khachatrian
LRM
48
1
0
04 Oct 2024
Retrieval Augmented Generation (RAG) and Beyond: A Comprehensive Survey
  on How to Make your LLMs use External Data More Wisely
Retrieval Augmented Generation (RAG) and Beyond: A Comprehensive Survey on How to Make your LLMs use External Data More Wisely
Siyun Zhao
Yuqing Yang
Zilong Wang
Zhiyuan He
Luna Qiu
Lili Qiu
SyDa
RALM
3DV
44
35
0
23 Sep 2024
MILE: A Mutation Testing Framework of In-Context Learning Systems
MILE: A Mutation Testing Framework of In-Context Learning Systems
Zeming Wei
Yihao Zhang
Meng Sun
45
0
0
07 Sep 2024
CLOCR-C: Context Leveraging OCR Correction with Pre-trained Language Models
CLOCR-C: Context Leveraging OCR Correction with Pre-trained Language Models
Jonathan Bourne
54
4
0
30 Aug 2024
Reasoning in Large Language Models: A Geometric Perspective
Reasoning in Large Language Models: A Geometric Perspective
Romain Cosentino
Sarath Shekkizhar
LRM
44
2
0
02 Jul 2024
BABILong: Testing the Limits of LLMs with Long Context
  Reasoning-in-a-Haystack
BABILong: Testing the Limits of LLMs with Long Context Reasoning-in-a-Haystack
Yuri Kuratov
Aydar Bulatov
Petr Anokhin
Ivan Rodkin
Dmitry Sorokin
Artyom Sorokin
Mikhail Burtsev
RALM
ALM
LRM
ReLM
ELM
49
59
0
14 Jun 2024
State Soup: In-Context Skill Learning, Retrieval and Mixing
State Soup: In-Context Skill Learning, Retrieval and Mixing
Maciej Pióro
Maciej Wołczyk
Razvan Pascanu
J. Oswald
João Sacramento
32
1
0
12 Jun 2024
Is In-Context Learning Sufficient for Instruction Following in LLMs?
Is In-Context Learning Sufficient for Instruction Following in LLMs?
Hao Zhao
Maksym Andriushchenko
Francesco Croce
Nicolas Flammarion
67
11
0
30 May 2024
Layer-Condensed KV Cache for Efficient Inference of Large Language
  Models
Layer-Condensed KV Cache for Efficient Inference of Large Language Models
Haoyi Wu
Kewei Tu
MQ
46
17
0
17 May 2024
SegICL: A Multimodal In-context Learning Framework for Enhanced
  Segmentation in Medical Imaging
SegICL: A Multimodal In-context Learning Framework for Enhanced Segmentation in Medical Imaging
Lingdong Shen
Fangxin Shang
Xiaoshuang Huang
Yehui Yang
Haifeng Huang
Shiming Xiang
VLM
37
3
0
25 Mar 2024
Beyond Human Data: Scaling Self-Training for Problem-Solving with
  Language Models
Beyond Human Data: Scaling Self-Training for Problem-Solving with Language Models
Avi Singh
John D. Co-Reyes
Rishabh Agarwal
Ankesh Anand
Piyush Patil
...
Yamini Bansal
Ethan Dyer
Behnam Neyshabur
Jascha Narain Sohl-Dickstein
Noah Fiedel
ALM
LRM
ReLM
SyDa
157
144
0
11 Dec 2023
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
Transformers generalize differently from information stored in context
  vs in weights
Transformers generalize differently from information stored in context vs in weights
Stephanie C. Y. Chan
Ishita Dasgupta
Junkyung Kim
D. Kumaran
Andrew Kyle Lampinen
Felix Hill
106
45
0
11 Oct 2022
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
Jason W. Wei
Xuezhi Wang
Dale Schuurmans
Maarten Bosma
Brian Ichter
F. Xia
Ed H. Chi
Quoc Le
Denny Zhou
LM&Ro
LRM
AI4CE
ReLM
367
8,495
0
28 Jan 2022
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
1,121
0
18 Apr 2021
Scaling Laws for Neural Language Models
Scaling Laws for Neural Language Models
Jared Kaplan
Sam McCandlish
T. Henighan
Tom B. Brown
B. Chess
R. Child
Scott Gray
Alec Radford
Jeff Wu
Dario Amodei
243
4,469
0
23 Jan 2020
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