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When Benchmarks are Targets: Revealing the Sensitivity of Large Language
  Model Leaderboards

When Benchmarks are Targets: Revealing the Sensitivity of Large Language Model Leaderboards

1 February 2024
Norah A. Alzahrani
H. A. Alyahya
Sultan Yazeed Alnumay
Muhtasim Tahmid
Shaykhah Alsubaie
Yusef Almushaykeh
Faisal Lad-hak
Saleh Soltan
Nathan Scales
Marie-Anne Lachaux
Samuel R. Bowman
Haidar Khan
    ELM
ArXivPDFHTML

Papers citing "When Benchmarks are Targets: Revealing the Sensitivity of Large Language Model Leaderboards"

14 / 14 papers shown
Title
Understanding the Skill Gap in Recurrent Language Models: The Role of the Gather-and-Aggregate Mechanism
Understanding the Skill Gap in Recurrent Language Models: The Role of the Gather-and-Aggregate Mechanism
Aviv Bick
Eric P. Xing
Albert Gu
RALM
81
0
0
22 Apr 2025
ZeroSumEval: An Extensible Framework For Scaling LLM Evaluation with Inter-Model Competition
ZeroSumEval: An Extensible Framework For Scaling LLM Evaluation with Inter-Model Competition
H. A. Alyahya
Haidar Khan
Yazeed Alnumay
M Saiful Bari
B. Yener
LRM
58
0
0
10 Mar 2025
Investigating Non-Transitivity in LLM-as-a-Judge
Investigating Non-Transitivity in LLM-as-a-Judge
Yi Xu
Laura Ruis
Tim Rocktaschel
Robert Kirk
38
0
0
19 Feb 2025
Improving Model Evaluation using SMART Filtering of Benchmark Datasets
Improving Model Evaluation using SMART Filtering of Benchmark Datasets
Vipul Gupta
Candace Ross
David Pantoja
R. Passonneau
Megan Ung
Adina Williams
49
1
0
26 Oct 2024
Position: LLM Unlearning Benchmarks are Weak Measures of Progress
Position: LLM Unlearning Benchmarks are Weak Measures of Progress
Pratiksha Thaker
Shengyuan Hu
Neil Kale
Yash Maurya
Zhiwei Steven Wu
Virginia Smith
MU
45
10
0
03 Oct 2024
On the Workflows and Smells of Leaderboard Operations (LBOps): An Exploratory Study of Foundation Model Leaderboards
On the Workflows and Smells of Leaderboard Operations (LBOps): An Exploratory Study of Foundation Model Leaderboards
Zhimin Zhao
A. A. Bangash
F. Côgo
Bram Adams
Ahmed E. Hassan
52
0
0
04 Jul 2024
Do Large Language Models Exhibit Cognitive Dissonance? Studying the
  Difference Between Revealed Beliefs and Stated Answers
Do Large Language Models Exhibit Cognitive Dissonance? Studying the Difference Between Revealed Beliefs and Stated Answers
Manuel Mondal
Ljiljana Dolamic
Gérôme Bovet
Philippe Cudré-Mauroux
Julien Audiffren
24
2
0
21 Jun 2024
Examining the robustness of LLM evaluation to the distributional
  assumptions of benchmarks
Examining the robustness of LLM evaluation to the distributional assumptions of benchmarks
Melissa Ailem
Katerina Marazopoulou
Charlotte Siska
James Bono
51
13
0
25 Apr 2024
Wisdom of the Silicon Crowd: LLM Ensemble Prediction Capabilities Rival
  Human Crowd Accuracy
Wisdom of the Silicon Crowd: LLM Ensemble Prediction Capabilities Rival Human Crowd Accuracy
P. Schoenegger
Indre Tuminauskaite
Peter S. Park
Rafael Valdece Sousa Bastos
P. Tetlock
29
24
0
29 Feb 2024
Adaptive Chameleon or Stubborn Sloth: Revealing the Behavior of Large
  Language Models in Knowledge Conflicts
Adaptive Chameleon or Stubborn Sloth: Revealing the Behavior of Large Language Models in Knowledge Conflicts
Jian Xie
Kai Zhang
Jiangjie Chen
Renze Lou
Yu-Chuan Su
RALM
198
150
0
22 May 2023
Leveraging Large Language Models for Multiple Choice Question Answering
Leveraging Large Language Models for Multiple Choice Question Answering
Joshua Robinson
Christopher Rytting
David Wingate
ELM
129
181
0
22 Oct 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
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
1,114
0
18 Apr 2021
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language
  Understanding
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
294
6,927
0
20 Apr 2018
1