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Jason Weston

Research scientist at Meta; first author of Memory Networks and co-author of ParlAI and Self-Rewarding LMs

Jason Weston is a research scientist at Meta. Meta's people page describes interests in statistical machine learning with a focus on reasoning, memory, perception, interaction, and communication, and lists earlier research roles at NEC Labs America, the Max Planck Institute for Biological Cybernetics, and Google. Weston is first author of Memory Networks (2014) and a co-author of the open-source ParlAI dialog research platform (2017), Adversarial NLI (2019), the open-domain chatbot papers Recipes for Building an Open-Domain Chatbot (2020) and BlenderBot 3 (2022), and Self-Rewarding Language Models (2024). Meta's page also notes a Test of Time Award for A Unified Architecture for Natural Language Processing, written with Ronan Collobert.1235678

Work

  • Memory Networks (external site: arxiv.org)Published research

    First author, with Sumit Chopra and Antoine Bordes, of Memory Networks (2014), which describes learning models that combine inference components with a long-term memory that can be read and written, studied on question answering.2

  • ParlAI (external site: github.com)Open-source code

    Co-author of ParlAI: A Dialog Research Software Platform (2017), an open-source Python platform for sharing, training, and testing dialog models; the repository is published under the MIT License.34

  • Self-Rewarding Language Models (external site: arxiv.org)Published research

    Co-author of Self-Rewarding Language Models (2024), which studies language models that provide their own rewards through LLM-as-a-Judge prompting during iterative DPO training.8

Other documented roles

Roles the sources document but that are not confirmed as current.

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Sources · reviewed Oct 13, 2026

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