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2305.14264
Cited By
Active Learning Principles for In-Context Learning with Large Language Models
23 May 2023
Katerina Margatina
Timo Schick
Nikolaos Aletras
Jane Dwivedi-Yu
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Papers citing
"Active Learning Principles for In-Context Learning with Large Language Models"
41 / 41 papers shown
Title
Have LLMs Made Active Learning Obsolete? Surveying the NLP Community
Julia Romberg
Christopher Schröder
Julius Gonsior
Katrin Tomanek
Fredrik Olsson
67
0
0
12 Mar 2025
Active Learning for Direct Preference Optimization
B. Kveton
Xintong Li
Julian McAuley
Ryan Rossi
Jingbo Shang
Junda Wu
Tong Yu
56
1
0
03 Mar 2025
CER: Confidence Enhanced Reasoning in LLMs
Ali Razghandi
Seyed Mohsen Hosseini
Mahdieh Soleymani Baghshah
LRM
98
2
0
21 Feb 2025
COBRA: COmBinatorial Retrieval Augmentation for Few-Shot Adaptation
Arnav M. Das
Gantavya Bhatt
Lilly Kumari
Sahil Verma
J. Bilmes
29
0
0
23 Dec 2024
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
65
0
25 Nov 2024
The Promises and Pitfalls of LLM Annotations in Dataset Labeling: a Case Study on Media Bias Detection
Tomas Horych
Christoph Mandl
Terry Ruas
André Greiner-Petter
Bela Gipp
Akiko Aizawa
Timo Spinde
96
4
0
17 Nov 2024
DISCERN: Decoding Systematic Errors in Natural Language for Text Classifiers
Rakesh R Menon
Shashank Srivastava
26
1
0
29 Oct 2024
Mitigating Biases to Embrace Diversity: A Comprehensive Annotation Benchmark for Toxic Language
Xinmeng Hou
24
1
0
17 Oct 2024
Diversify and Conquer: Diversity-Centric Data Selection with Iterative Refinement
Simon Yu
Liangyu Chen
Sara Ahmadian
Marzieh Fadaee
29
6
0
17 Sep 2024
Fine-tuning Large Language Models for Entity Matching
Aaron Steiner
R. Peeters
Christian Bizer
LRM
34
5
0
12 Sep 2024
Effective Demonstration Annotation for In-Context Learning via Language Model-Based Determinantal Point Process
Peng Wang
Xiaobin Wang
Chao Lou
Shengyu Mao
Pengjun Xie
Yong-jia Jiang
52
0
0
04 Aug 2024
Multiple Sources are Better Than One: Incorporating External Knowledge in Low-Resource Glossing
Changbing Yang
Garrett Nicolai
Miikka Silfverberg
32
1
0
16 Jun 2024
Learning from Natural Language Explanations for Generalizable Entity Matching
Somin Wadhwa
Adit Krishnan
Runhui Wang
Byron C. Wallace
Chris Kong
LRM
42
3
0
13 Jun 2024
A Survey on Deep Active Learning: Recent Advances and New Frontiers
Dongyuan Li
Zhen Wang
Yankai Chen
Renhe Jiang
Weiping Ding
Manabu Okumura
44
20
0
01 May 2024
Experimental Design for Active Transductive Inference in Large Language Models
Subhojyoti Mukherjee
Anusha Lalitha
Aniket Deshmukh
Ge Liu
Yifei Ma
B. Kveton
LRM
35
1
0
12 Apr 2024
Automate Knowledge Concept Tagging on Math Questions with LLMs
Hang Li
Tianlong Xu
Jiliang Tang
Qingsong Wen
40
3
0
26 Mar 2024
Causal Prompting: Debiasing Large Language Model Prompting based on Front-Door Adjustment
Congzhi Zhang
Linhai Zhang
Jialong Wu
Deyu Zhou
Guoqiang Xu
CML
AI4CE
LRM
44
15
0
05 Mar 2024
Active Preference Learning for Large Language Models
William Muldrew
Peter Hayes
Mingtian Zhang
David Barber
31
16
0
12 Feb 2024
Empowering Language Models with Active Inquiry for Deeper Understanding
Jing-Cheng Pang
Heng-Bo Fan
Pengyuan Wang
Jia-Hao Xiao
Nan Tang
Si-Hang Yang
Chengxing Jia
Sheng-Jun Huang
Yang Yu
16
5
0
06 Feb 2024
Position: Bayesian Deep Learning is Needed in the Age of Large-Scale AI
Theodore Papamarkou
Maria Skoularidou
Konstantina Palla
Laurence Aitchison
Julyan Arbel
...
David Rügamer
Yee Whye Teh
Max Welling
Andrew Gordon Wilson
Ruqi Zhang
UQCV
BDL
40
27
0
01 Feb 2024
Actor Identification in Discourse: A Challenge for LLMs?
Ana Barić
Sean Papay
Sebastian Padó
35
1
0
01 Feb 2024
Active Learning for NLP with Large Language Models
Xuesong Wang
23
0
0
14 Jan 2024
Cost-Effective In-Context Learning for Entity Resolution: A Design Space Exploration
Meihao Fan
Xiaoyue Han
Ju Fan
Chengliang Chai
Nan Tang
Guoliang Li
Xiaoyong Du
27
5
0
07 Dec 2023
Take One Step at a Time to Know Incremental Utility of Demonstration: An Analysis on Reranking for Few-Shot In-Context Learning
Kazuma Hashimoto
K. Raman
Michael Bendersky
35
2
0
16 Nov 2023
Enhancing Machine Translation through Advanced In-Context Learning: A Methodological Strategy for GPT-4 Improvement
Yufeng Chen
23
3
0
15 Nov 2023
Ambiguity-Aware In-Context Learning with Large Language Models
Lingyu Gao
Aditi Chaudhary
Krishna Srinivasan
Kazuma Hashimoto
K. Raman
Michael Bendersky
19
7
0
14 Sep 2023
Large Language Models as Annotators: Enhancing Generalization of NLP Models at Minimal Cost
Parikshit Bansal
Amit Sharma
38
40
0
27 Jun 2023
ActiveGLAE: A Benchmark for Deep Active Learning with Transformers
Lukas Rauch
Matthias Aßenmacher
Denis Huseljic
Moritz Wirth
Bernd Bischl
Bernhard Sick
36
11
0
16 Jun 2023
On the Limitations of Simulating Active Learning
Katerina Margatina
Nikolaos Aletras
29
11
0
21 May 2023
Cue-CoT: Chain-of-thought Prompting for Responding to In-depth Dialogue Questions with LLMs
Hongru Wang
Rui Wang
Fei Mi
Yang Deng
Zezhong Wang
Bin Liang
Ruifeng Xu
Kam-Fai Wong
LRM
27
54
0
19 May 2023
Sparks of Artificial General Intelligence: Early experiments with GPT-4
Sébastien Bubeck
Varun Chandrasekaran
Ronen Eldan
J. Gehrke
Eric Horvitz
...
Scott M. Lundberg
Harsha Nori
Hamid Palangi
Marco Tulio Ribeiro
Yi Zhang
ELM
AI4MH
AI4CE
ALM
289
3,003
0
22 Mar 2023
Can Large Language Models Truly Understand Prompts? A Case Study with Negated Prompts
Joel Jang
Seonghyeon Ye
Minjoon Seo
ELM
LRM
95
64
0
26 Sep 2022
Generate rather than Retrieve: Large Language Models are Strong Context Generators
W. Yu
Dan Iter
Shuohang Wang
Yichong Xu
Mingxuan Ju
Soumya Sanyal
Chenguang Zhu
Michael Zeng
Meng-Long Jiang
RALM
AIMat
226
321
0
21 Sep 2022
Text and Patterns: For Effective Chain of Thought, It Takes Two to Tango
Aman Madaan
Amir Yazdanbakhsh
LRM
146
116
0
16 Sep 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
313
11,915
0
04 Mar 2022
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
355
8,457
0
28 Jan 2022
CrossFit: A Few-shot Learning Challenge for Cross-task Generalization in NLP
Qinyuan Ye
Bill Yuchen Lin
Xiang Ren
211
179
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
279
1,120
0
18 Apr 2021
What Makes Good In-Context Examples for GPT-
3
3
3
?
Jiachang Liu
Dinghan Shen
Yizhe Zhang
Bill Dolan
Lawrence Carin
Weizhu Chen
AAML
RALM
275
1,312
0
17 Jan 2021
Exploiting Cloze Questions for Few Shot Text Classification and Natural Language Inference
Timo Schick
Hinrich Schütze
258
1,587
0
21 Jan 2020
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
6,956
0
20 Apr 2018
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