Hashmarks: Privacy-Preserving Benchmarks for High-Stakes AI Evaluation

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Hashmarks: Privacy-Preserving Benchmarks for High-Stakes AI Evaluation

1 December 2023

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Papers citing "Hashmarks: Privacy-Preserving Benchmarks for High-Stakes AI Evaluation"

10 / 10 papers shown

Title
Discovering Latent Knowledge in Language Models Without Supervision Collin Burns Haotian Ye Dan Klein Jacob Steinhardt 153 386 0 07 Dec 2022
The Alignment Problem from a Deep Learning Perspective Richard Ngo Lawrence Chan Sören Mindermann 137 192 0 30 Aug 2022
A Review of zk-SNARKs Thomas Chen Hui Lu Teeramet Kunpittaya Alan F. Luo 32 35 0 14 Feb 2022
SCROLLS: Standardized CompaRison Over Long Language Sequences Uri Shaham Elad Segal Maor Ivgi Avia Efrat Ori Yoran ... Ankit Gupta Wenhan Xiong Mor Geva Jonathan Berant Omer Levy RALM 109 139 0 10 Jan 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 238 5,675 0 07 Jul 2021
Aligning AI With Shared Human Values Dan Hendrycks Collin Burns Steven Basart Andrew Critch Jingkai Li Basel Alomair Jacob Steinhardt 149 574 0 05 Aug 2020
UnifiedQA: Crossing Format Boundaries With a Single QA System Daniel Khashabi Sewon Min Tushar Khot Ashish Sabharwal Oyvind Tafjord Peter Clark Hannaneh Hajishirzi 160 742 0 02 May 2020
PubMedQA: A Dataset for Biomedical Research Question Answering Qiao Jin Bhuwan Dhingra Zhengping Liu William W. Cohen Xinghua Lu 410 914 0 13 Sep 2019
Analysing Mathematical Reasoning Abilities of Neural Models D. Saxton Edward Grefenstette Felix Hill Pushmeet Kohli LRM 212 431 0 02 Apr 2019
Hierarchical Neural Story Generation Angela Fan M. Lewis Yann N. Dauphin DiffM 183 1,631 0 13 May 2018

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