most citedOpenAI GPT-5 System Card

17 citations · 17 across the 1 of their papers we have counts for

collaborators

6 papers

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.LG2025

Learning Linear Attention in Polynomial Time

Morris Yau, Ekin Akyürek, Jiayuan Mao +3

Previous research has explored the computational expressivity of Transformer models in simulating Boolean circuits or Turing machines. However, the learnability of these simulators…

cs.CL2025

Is Active Persona Inference Necessary for Aligning Small Models to Personal Preferences?

Zilu Tang, Afra Feyza Akyürek, Ekin Akyürek +1

A prominent issue in aligning language models (LMs) to personalized preferences is underspecification -- the lack of information from users about their preferences. A popular trend…

cs.LG2025

Self-Adapting Language Models

Adam Zweiger, Jyothish Pari, Han Guo +3

Large language models (LLMs) are powerful but static; they lack mechanisms to adapt their weights in response to new tasks, knowledge, or examples. We introduce Self-Adapting LLMs…

cs.CL2025

Elements of World Knowledge (EWoK): A Cognition-Inspired Framework for Evaluating Basic World Knowledge in Language Models

Anna A. Ivanova, Aalok Sathe, Benjamin Lipkin +17

The ability to build and reason about models of the world is essential for situated language understanding. But evaluating world modeling capabilities in modern AI systems -- espec…

cs.AI2025

The Surprising Effectiveness of Test-Time Training for Few-Shot Learning

Ekin Akyürek, Mehul Damani, Adam Zweiger +5

Language models (LMs) have shown impressive performance on tasks within their training distribution, but often struggle with structurally novel tasks even when given a small number…