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Exploring the Sensitivity of LLMs' Decision-Making Capabilities:
  Insights from Prompt Variation and Hyperparameters

Exploring the Sensitivity of LLMs' Decision-Making Capabilities: Insights from Prompt Variation and Hyperparameters

29 December 2023
Manikanta Loya
Divya Sinha
Richard Futrell
ArXiv (abs)PDFHTML

Papers citing "Exploring the Sensitivity of LLMs' Decision-Making Capabilities: Insights from Prompt Variation and Hyperparameters"

7 / 7 papers shown
Title
Benchmarking Prompt Sensitivity in Large Language Models
Benchmarking Prompt Sensitivity in Large Language Models
Amirhossein Razavi
Mina Soltangheis
Negar Arabzadeh
Sara Salamat
Morteza Zihayat
Ebrahim Bagheri
92
6
0
09 Feb 2025
Beyond Numeric Rewards: In-Context Dueling Bandits with LLM Agents
Beyond Numeric Rewards: In-Context Dueling Bandits with LLM Agents
Fanzeng Xia
Hao Liu
Yisong Yue
Tongxin Li
121
1
0
02 Jul 2024
Who is GPT-3? An Exploration of Personality, Values and Demographics
Who is GPT-3? An Exploration of Personality, Values and Demographics
Marilù Miotto
Nicola Rossberg
Bennett Kleinberg
ELMPILM
66
113
0
28 Sep 2022
Using cognitive psychology to understand GPT-3
Using cognitive psychology to understand GPT-3
Marcel Binz
Eric Schulz
ELMLLMAG
336
477
0
21 Jun 2022
Training Verifiers to Solve Math Word Problems
Training Verifiers to Solve Math Word Problems
K. Cobbe
V. Kosaraju
Mohammad Bavarian
Mark Chen
Heewoo Jun
...
Jerry Tworek
Jacob Hilton
Reiichiro Nakano
Christopher Hesse
John Schulman
ReLMOffRLLRM
326
4,569
0
27 Oct 2021
Neural Language Models as Psycholinguistic Subjects: Representations of
  Syntactic State
Neural Language Models as Psycholinguistic Subjects: Representations of Syntactic State
Richard Futrell
Ethan Gotlieb Wilcox
Takashi Morita
Peng Qian
Miguel Ballesteros
R. Levy
MILM
123
196
0
08 Mar 2019
Assessing the Ability of LSTMs to Learn Syntax-Sensitive Dependencies
Assessing the Ability of LSTMs to Learn Syntax-Sensitive Dependencies
Tal Linzen
Emmanuel Dupoux
Yoav Goldberg
104
906
0
04 Nov 2016
1