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Scaling Alignment Research via Safety Cases

Jacob Pfau

04/2025

Emergent Misalignment

Owain Evans

04/2025

Jailbreaking Aligned LLMs, Reasoning Models & Agents

Siva Reddy

04/2025

Antidistillation Sampling

Zico Kolter

04/2025

Powering up AI Capability Evaluations with Model Tampering Attacks

Stephen Casper

04/2025

Unthinking Vulnerability of Large Reasoning Models

Baoyuan Wu

04/2025

Computational Safety for Generative AI

Pin-Yu Chen

04/2025

LLM Safety Training & Semantically Related Natural Prompts

Sravanti Addepalli

04/2025

Your DPO Algorithm is Secretly a Misspecified Reward Estimator

Aditya Gopalan

04/2025

CVE-Bench: A Real-World Cybersecurity Benchmark for AI Agents

Daniel Kang

04/2025

Next Steps for Control Safety Cases

Martín Soto

04/2025

High-Compute Alignment & Control

Noam Brown

04/2025

A New Definition & Improved Mitigation for Reward Hacking

Cassidy Laidlaw

04/2025

Value Compass Leaderboard: Platform for LLMs’ Value Evaluation

Xiaoyuan Yi

04/2025

STAIR: Improving Safety Alignment with Introspective Reasoning

Yinpeng Dong

04/2025

Unified Explanation of DNN Inference Logic & Representation

Huiqi Deng

04/2025

Persuade AIs

Weiyan Shi

04/2025

Evaluating Alignment Processes Rather than Models

Adam Kalai

04/2025

Disaster Preparedness for AI Safety

Tegan Maharaj

04/2025

You Should Work on Agent Infrastructure

Alan Chan

04/2025

Governing AI Agents Under the EU AI Act

Robin Staes-Polet

04/2025

The White House AI Action Plan

Mark Brakel

04/2025

In-House Evaluation is Not Enough

Shayne Longpre

04/2025

Deceptive Alignment & Thinking Monitor in LLMs

Jiaming Ji

04/2025

Safety Benchmarking & Testing of Multimodal LLMs

Tianwei Zhang

04/2025

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