Papers

• Reinforcement Learning Towards Broadly and Persistently Beneficial Models

  Published on: 2026-06-18 Venue: OpenAI Alignment Research Blog 8 authors
• AI+HW 2035: Shaping the Next Decade

  Agentrys, Brown University, California Institute of Technology, Carnegie Mellon University, Hewlett Packard Labs, New York University, Princeton University, Stanford University, University at Buffalo, University of California, University of Illinois Urbana-Champaign, University of Pennsylvania, University of Texas

  Published on: 2026-03-05 30 authors
• Reasoning Models Struggle to Control their Chains of Thought

  MATS, New York University, University of Pennsylvania

  Published on: 2026-03-05 8 authors
• Single-minus graviton tree amplitudes are nonzero

  Vanderbilt University

  Published on: 2026-03-04 1 author
• EVMbench: Evaluating AI Agents on Smart Contract Security

  Published on: 2026-02-18 1 author
• Chain of Thought Monitorability: A New and Fragile Opportunity for AI Safety

  Amazon, Anthropic, Meta

  Published on: 2026-02-15 1 author
• GigaBrain-0.5M*: a VLA That Learns From World Model-Based Reinforcement Learning

  Octo Model Team, RoboChallenge Team

  Published on: 2026-02-12 26 authors
• Using a GPT-5-driven autonomous lab to optimize the cost and titer of cell-free protein synthesis

  Published on: 2026-02-05 1 author
• Addendum to GPT-5.2 System Card: GPT-5.2-Codex

  Published on: 2025-12-18 1 author
• Monitoring Monitorability

  Published on: 2025-12-18 1 author
• Evaluating AI’s ability to perform scientific research tasks

  Published on: 2025-12-16 1 author
• On Learning-Curve Monotonicity for Maximum Likelihood Estimators

  Published on: 2025-12-11 1 author
• Training LLMs for Honesty via Confessions

  Published on: 2025-12-03
• Early Science Acceleration Experiments with GPT-5

  Collège de France, Columbia University, Harvard University, Lawrence Livermore National Laboratory, The Jackson Laboratory, University of California, University of Cambridge, University of Oxford, Vanderbilt University

  Published on: 2025-11-20 1 author
• Weight-Sparse Transformers Have Interpretable Circuits

  Published on: 2025-11-17 1 author
• Why Language Models Hallucinate

  Georgia Institute of Technology

  Published on: 2025-09-04 4 authors
• SWE-Lancer: Can Frontier LLMs Earn $1 Million from Real-World Freelance Software Engineering?

  Published on: 2025-02-17 4 authors
• GPT-4 Technical Report

  Published on: 2024-03-04 1 author
• Weak-to-Strong Generalization: Eliciting Strong Capabilities With Weak Supervision

  Published on: 2023-12-14 1 author
• Robust Speech Recognition via Large-Scale Weak Supervision

  Published on: 2022-12-06 1 author
• Hierarchical Text-Conditional Image Generation with CLIP Latents

  Published on: 2022-04-13 1 author
• Training Language Models to Follow Instructions with Human Feedback

  Published on: 2022-03-04 1 author
• Training Verifiers to Solve Math Word Problems

  Published on: 2021-12-18 1 author
• Learning Transferable Visual Models From Natural Language Supervision

  Published on: 2021-02-26 Venue: ICML 2021 12 authors
• Scaling Laws for Neural Language Models

  Johns Hopkins University

  Published on: 2020-01-23 1 author
• Dota 2 with Large Scale Deep Reinforcement Learning

  Published on: 2019-12-13 1 author
• Improving Language Understanding by Generative Pre-Training (GPT-1)

  Published on: 2018-06-10 1 author
• Language Models are Unsupervised Multitask Learners

  Published on: 2018-02-01 1 author
• Proximal Policy Optimization Algorithms

  Published on: 2017-08-28 1 author