[2503.03750] The MASK Benchmark: Disentangling Honesty From Accuracy in AI Systems
arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs. arXiv Operational Status Get status notifications via email or slack
[2503.03750] The MASK Benchmark: Disentangling Honesty From Accuracy in AI Systems Skip to main content arXiv is now an independent nonprofit! Learn more × Search arXiv Press Enter to search · Advanced search --> Computer Science > Machine Learning arXiv:2503.03750 (cs) [Submitted on 5 Mar 2025 ( v1 ), last revised 5 Jan 2026 (this version, v3)] Title: The MASK Benchmark: Disentangling Honesty From Accuracy in AI Systems Authors: Richard Ren , Arunim Agarwal , Mantas Mazeika , Cristina Menghini , Robert Vacareanu , Brad Kenstler , Mick Yang , Isabelle Barrass , Alice Gatti , Xuwan
Explore this link on the map →related reading
- Modifying LLM Beliefs with Synthetic Document Finetuningalignment.anthropic.com
- How confessions can keep language models honest | OpenAIopenai.com
- [2401.05566] Sleeper Agents: Training Deceptive LLMs that Persist Through Safety Trainingarxiv.org
- The bitter lesson of LLM evalsparsed.com
- Discovering Language Model Behaviors with Model-Written Evaluations — LessWronglesswrong.com
- Research - Berkeley AI Safety Student Initiativeberkeleyaisafety.com
- Lapis Labslapis.rocks
- GitHub - salesforce/AuditNLG: AuditNLG: Auditing Generative AI Language Modeling for Trustworthiness · GitHubgithub.com
- BIG-bench/bigbench/benchmark_tasks/convinceme at main · google/BIG-bench · GitHubgithub.com
- Challenges in evaluating AI systems \ Anthropicanthropic.com
- Center for Responsible, Decentralized Intelligence at Berkeleyrdi.berkeley.edu
- Are AI benchmarks doomed? - by Anson Ho and Greg Burnhamepochai.substack.com