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Agents + Workflow + Automation67Mcp + Agents53Llm + Api50
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Alignment + Llm + Security

23.0

Develop a framework that performs iterative red-teaming to patch both the policy model and the reward model simultaneously. This tool would automate the detection of 'synergistic' failure modes where the RM is blind to model exploits.

+0
emergingimplementation gap
psychometricsllmcybersecurityevaluationrlalignmentsecurity

Signals (20)

tech review ai29d ago

The hardest question to answer about AI-fueled delusions

arXiv10h ago

Personalized Benchmarking: Evaluating LLMs by Individual Preferences

arXiv10h ago

Prioritizing the Best: Incentivizing Reliable Multimodal Reasoning by Rewarding Beyond Answer Correctness

OpenAI15d ago

Introducing the Child Safety Blueprint

mit ai29d ago

How to create “humble” AI

Anthropic19d ago

Responsible Scaling Policy

arXiv5d ago

Reinforcement Learning via Value Gradient Flow

tech review ai6d ago

Why having “humans in the loop” in an AI war is an illusion

HuggingFace1d ago

AI and the Future of Cybersecurity: Why Openness Matters

arXiv6d ago

Pareto-Optimal Offline Reinforcement Learning via Smooth Tchebysheff Scalarization

arXiv19d ago

How Do Language Models Process Ethical Instructions? Deliberation, Consistency, and Other-Recognition Across Four Models

arXiv10h ago

Reasoning Structure Matters for Safety Alignment of Reasoning Models

arXiv1d ago

Machine individuality: Separating genuine idiosyncrasy from response bias in large language models

arXiv12d ago

Beyond Social Pressure: Benchmarking Epistemic Attack in Large Language Models

arXiv1d ago

Shifting the Gradient: Understanding How Defensive Training Methods Protect Language Model Integrity

arXiv10h ago

ARES: Adaptive Red-Teaming and End-to-End Repair of Policy-Reward System

arXiv5d ago

Correcting Suppressed Log-Probabilities in Language Models with Post-Transformer Adapters

arXiv10h ago

Investigating Counterfactual Unfairness in LLMs towards Identities through Humor

arXiv6d ago

The Consciousness Cluster: Emergent preferences of Models that Claim to be Conscious

arXiv12d ago

Blind Refusal: Language Models Refuse to Help Users Evade Unjust, Absurd, and Illegitimate Rules