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More Samples or More Prompts? Exploring Effective In-Context Sampling
  for LLM Few-Shot Prompt Engineering

More Samples or More Prompts? Exploring Effective In-Context Sampling for LLM Few-Shot Prompt Engineering

16 November 2023
Bingsheng Yao
Guiming Hardy Chen
Ruishi Zou
Yuxuan Lu
Jiachen Li
Shao Zhang
Yisi Sang
Sijia Liu
James A. Hendler
Dakuo Wang
ArXivPDFHTML

Papers citing "More Samples or More Prompts? Exploring Effective In-Context Sampling for LLM Few-Shot Prompt Engineering"

12 / 12 papers shown
Title
Understanding and Improving Information Preservation in Prompt Compression for LLMs
Understanding and Improving Information Preservation in Prompt Compression for LLMs
Weronika Łajewska
Momchil Hardalov
Laura Aina
Neha Anna John
Hang Su
Lluís Marquez
54
0
0
24 Mar 2025
Generative Artificial Intelligence: Evolving Technology, Growing Societal Impact, and Opportunities for Information Systems Research
Veda C. Storey
Wei Thoo Yue
J. Leon Zhao
Roman Lukyanenko
38
0
0
25 Feb 2025
Incorporating Metabolic Information into LLMs for Anomaly Detection in
  Clinical Time-Series
Incorporating Metabolic Information into LLMs for Anomaly Detection in Clinical Time-Series
Maxx Richard Rahman
Ruoxuan Liu
Wolfgang Maass
24
1
0
02 Oct 2024
BeHonest: Benchmarking Honesty in Large Language Models
BeHonest: Benchmarking Honesty in Large Language Models
Steffi Chern
Zhulin Hu
Yuqing Yang
Ethan Chern
Yuan Guo
Jiahe Jin
Binjie Wang
Pengfei Liu
HILM
ALM
72
3
0
19 Jun 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
24
3
0
26 Mar 2024
On Task Performance and Model Calibration with Supervised and
  Self-Ensembled In-Context Learning
On Task Performance and Model Calibration with Supervised and Self-Ensembled In-Context Learning
Chengzu Li
Han Zhou
Goran Glavavs
Anna Korhonen
Ivan Vulić
11
11
0
21 Dec 2023
Human Still Wins over LLM: An Empirical Study of Active Learning on
  Domain-Specific Annotation Tasks
Human Still Wins over LLM: An Empirical Study of Active Learning on Domain-Specific Annotation Tasks
Yuxuan Lu
Bingsheng Yao
Shao Zhang
Yun Wang
Peng Zhang
T. Lu
Toby Jia-Jun Li
Dakuo Wang
ALM
21
16
0
16 Nov 2023
Training language models to follow instructions with human feedback
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
301
11,730
0
04 Mar 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
203
1,651
0
15 Oct 2021
ContractNLI: A Dataset for Document-level Natural Language Inference for
  Contracts
ContractNLI: A Dataset for Document-level Natural Language Inference for Contracts
Yuta Koreeda
Christopher D. Manning
AILaw
84
96
0
05 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
274
882
0
18 Apr 2021
e-SNLI: Natural Language Inference with Natural Language Explanations
e-SNLI: Natural Language Inference with Natural Language Explanations
Oana-Maria Camburu
Tim Rocktaschel
Thomas Lukasiewicz
Phil Blunsom
LRM
249
618
0
04 Dec 2018
1