Good Papers

Showing papers from MATS Research Show all papers

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NeurIPS 2026d_modelML & Alignment Theory ScholaStanfordMATS ResearchGoogle DeepMindDeep RL

Gradient Routing Localizes and Removes Unintended Behaviors in RL

Jake Ward, Shawn Hu, Aria Wong, Nathan Hu and 3 more

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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57%Worth a look
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NeurIPS 2026Centre for the Governance of AIDepartment of Computer Science, Institute for Law & AICenter for AI Risk Management &aETH ZurichAI oversight & deception

FraudBench: A Legal Evaluation of AI Deception on Realistic Tasks

Kevin Wei, Sumaya N Adan, Stephan Llerena, Mark L Gitau and 16 more

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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1/20 AI panelreviewers recommend it

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AI panel: 1 of 20 reviewers recommend it
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89%Must read
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NeurIPS 2026EuroSafeAIETHZ - ETH ZurichMATS ResearchMPI for Intelligent Systems, TübVector InstituteAI oversight & deception

GT-HarmBench: Benchmarking AI Safety Risks Through the Lens of Game Theory

GT-HarmBench evaluates 15 frontier AI models on 1,535 multi-agent game-theoretic risk scenarios, finding 38% failure at socially beneficial actions and up to 18% improvement via interventions.

Pepijn Cobben, Xuanqiang A Huang, Thao Pham, Isabel Dahlgren and 3 more

Paris Poster Session 5, Fri, Dec 11, 11:30 AM–1:30 PM, Paris Poster Hall · Published 2026

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16/20 AI panelreviewers recommend it

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AI panel: 16 of 20 reviewers recommend it
lenient 5/5
medium 9/10
strict 2/5