activity
20152026
most citedSolving Rubik's Cube with a Robot Hand

635 citations · 731 across the 6 of their papers we have counts for

collaborators

7 papers

cs.CL2026★ 18 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…

astro-ph.IM2025★ 1 cited

AstroMMBench: A Benchmark for Evaluating Multimodal Large Language Models Capabilities in Astronomy

Jinghang Shi, Xiaoyu Tang, Yang Huang +4

Astronomical image interpretation presents a significant challenge for applying multimodal large language models (MLLMs) to specialized scientific tasks. Existing benchmarks focus…

cs.CL2023

GPT-4 Technical Report

OpenAI, Josh Achiam, Steven Adler +278

We report the development of GPT-4, a large-scale, multimodal model which can accept image and text inputs and produce text outputs. While less capable than humans in many real-wor…

cs.LG2022★ 50 cited

Video PreTraining (VPT): Learning to Act by Watching Unlabeled Online Videos

Bowen Baker, Ilge Akkaya, Peter Zhokhov +6

Pretraining on noisy, internet-scale datasets has been heavily studied as a technique for training models with broad, general capabilities for text, images, and other modalities. H…

cs.LG2021★ 21 cited

Asymmetric self-play for automatic goal discovery in robotic manipulation

OpenAI OpenAI, Matthias Plappert, Raul Sampedro +13

We train a single, goal-conditioned policy that can solve many robotic manipulation tasks, including tasks with previously unseen goals and objects. We rely on asymmetric self-play…

cs.LG2019★ 635 cited

Solving Rubik's Cube with a Robot Hand

OpenAI, Ilge Akkaya, Marcin Andrychowicz +16

We demonstrate that models trained only in simulation can be used to solve a manipulation problem of unprecedented complexity on a real robot. This is made possible by two key comp…

eess.SY2015★ 6 cited

Control Improvisation with Probabilistic Temporal Specifications

Ilge Akkaya, Daniel J. Fremont, Rafael Valle +3

We consider the problem of generating randomized control sequences for complex networked systems typically actuated by human agents. Our approach leverages a concept known as contr…