most citedOpenAI GPT-5 System Card

17 citations · 17 across the 3 of their papers we have counts for

collaborators

8 papers

cs.AI2026

Code Monitor Red Teaming for Public-Test-Passing Code

Junchi Liao, Jiawen Deng, Fuji Ren

Visible tests are a common gate for LLM-generated code, but passing them does not certify specification correctness. We study a deployment-like monitoring problem: after code has p…

cs.CL202617 cited

OpenAI GPT-5 System Card

Aaditya Singh, Adam Fry, Adam Perelman +483

This is the system card published alongside the OpenAI GPT-5 launch, August 2025. GPT-5 is a unified system with a smart and fast model that answers most questions, a deeper reason…

cs.AI2026

Reasoning Models Struggle to Control their Chains of Thought

Chen Yueh-Han, Robert McCarthy, Bruce W. Lee +5

Chain-of-thought (CoT) monitoring is a promising tool for detecting misbehaviors and understanding the motivations of modern reasoning models. However, if models can control what t…

cs.AI2025

Monitoring Monitorability

Melody Y. Guan, Miles Wang, Micah Carroll +9

Observability into the decision making of modern AI systems may be required to safely deploy increasingly capable agents. Monitoring the chain-of-thought (CoT) of today's reasoning…

cs.AI2025

Chain of Thought Monitorability: A New and Fragile Opportunity for AI Safety

Tomek Korbak, Mikita Balesni, Elizabeth Barnes +38

AI systems that "think" in human language offer a unique opportunity for AI safety: we can monitor their chains of thought (CoT) for the intent to misbehave. Like all other known A…

cs.LG2025

Weight-sparse transformers have interpretable circuits

Leo Gao, Achyuta Rajaram, Jacob Coxon +3

Finding human-understandable circuits in language models is a central goal of the field of mechanistic interpretability. We train models to have more understandable circuits by con…