Leveraging LLM Inconsistency to Boost Pass@k Performance

v1v2 (latest)

Leveraging LLM Inconsistency to Boost Pass@k Performance

19 May 2025

ArXiv (abs)PDF HTML

Papers citing "Leveraging LLM Inconsistency to Boost Pass@k Performance"

18 / 18 papers shown

Title
A Framework for Evaluating Emerging Cyberattack Capabilities of AI Mikel Rodriguez Raluca Ada Popa Four Flynn Lihao Liang Allan Dafoe Anna Wang ELM 132 8 0 14 Mar 2025
ProSA: Assessing and Understanding the Prompt Sensitivity of LLMs Jingming Zhuo Shanghang Zhang Xinyu Fang Haodong Duan Dahua Lin Kai Chen 72 28 0 16 Oct 2024
POSIX: A Prompt Sensitivity Index For Large Language Models Anwoy Chatterjee H. S. V. N. S. K. Renduchintala S. Bhatia Tanmoy Chakraborty AAML 71 10 0 03 Oct 2024
PertEval: Unveiling Real Knowledge Capacity of LLMs with Knowledge-Invariant Perturbations Jiatong Li Renjun Hu Kunzhe Huang Zhuang Yan Qi Liu Mengxiao Zhu Xing Shi Wei Lin KELM 99 7 0 30 May 2024
When Benchmarks are Targets: Revealing the Sensitivity of Large Language Model Leaderboards Norah A. Alzahrani H. A. Alyahya Sultan Yazeed Alnumay Muhtasim Tahmid Shaykhah Alsubaie ... Saleh Soltan Nathan Scales Marie-Anne Lachaux Samuel R. Bowman Haidar Khan ELM 121 79 0 01 Feb 2024
Mind Your Format: Towards Consistent Evaluation of In-Context Learning Improvements Anton Voronov Lena Wolf Max Ryabinin 60 52 0 12 Jan 2024
State of What Art? A Call for Multi-Prompt LLM Evaluation Moran Mizrahi Guy Kaplan Daniel Malkin Rotem Dror Dafna Shahaf Gabriel Stanovsky ELM 91 147 0 31 Dec 2023
The language of prompting: What linguistic properties make a prompt successful? Alina Leidinger R. Rooij Ekaterina Shutova 71 44 0 03 Nov 2023
Quantifying Language Models' Sensitivity to Spurious Features in Prompt Design or: How I learned to start worrying about prompt formatting Melanie Sclar Yejin Choi Yulia Tsvetkov Alane Suhr 93 352 0 17 Oct 2023
Large Language Models Sensitivity to The Order of Options in Multiple-Choice Questions Pouya Pezeshkpour Estevam R. Hruschka LRM 53 144 0 22 Aug 2023
Evaluating the Zero-shot Robustness of Instruction-tuned Language Models Jiu Sun Chantal Shaib Byron C. Wallace ALM 47 50 0 20 Jun 2023
Unnatural Instructions: Tuning Language Models with (Almost) No Human Labor Or Honovich Thomas Scialom Omer Levy Timo Schick ALM 121 375 0 19 Dec 2022
Demystifying Prompts in Language Models via Perplexity Estimation Hila Gonen Srini Iyer Terra Blevins Noah A. Smith Luke Zettlemoyer LRM 124 213 0 08 Dec 2022
Robustness of Learning from Task Instructions Jiasheng Gu Hongyu Zhao Hanzi Xu Liang Nie Hongyuan Mei Wenpeng Yin OOD 83 34 0 07 Dec 2022
Evaluating Large Language Models Trained on Code Mark Chen Jerry Tworek Heewoo Jun Qiming Yuan Henrique Pondé ... Bob McGrew Dario Amodei Sam McCandlish Ilya Sutskever Wojciech Zaremba ELM ALM 233 5,635 0 07 Jul 2021
Measuring Coding Challenge Competence With APPS Dan Hendrycks Steven Basart Saurav Kadavath Mantas Mazeika Akul Arora ... Collin Burns Samir Puranik Horace He Basel Alomair Jacob Steinhardt ELM AIMat ALM 257 700 0 20 May 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 406 1,193 0 18 Apr 2021
SPoC: Search-based Pseudocode to Code Sumith Kulal Panupong Pasupat Kartik Chandra Mina Lee Oded Padon A. Aiken Percy Liang 62 226 0 12 Jun 2019

We use cookies and other tracking technologies to improve your browsing experience on our website, to show you personalized content and targeted ads, to analyze our website traffic, and to understand where our visitors are coming from. See our policy.