Jonathan Tow

2 papers · 2022–2023 · 2 venues · across top CS/AI venues

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Achievements

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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Silver 🐣 Hot Topic Early Bird 🧭 Keyword Pioneer

Venues

ACL (1) EMNLP (1)

Top co-authors

Quentin Anthony (2) Stella Biderman (2) Ben Wang (1) Duy Phung (1) Samuel Weinbach (1) Usvsn Sai Prashanth (1) Leo Gao (1) Kyle McDonell (1) Michael Pieler (1) Maksym Zhuravinskyi (1)

Research topics

Deep Learning (2) Natural Language Processing (2) Resources & Methods (2) Artificial Intelligence (1) Machine Learning (1) Reinforcement Learning (1) Architectures (1) Core AI (1) Generation (1) Learning Types · Machine Learning (1) Learning Types · Deep Learning (1) Methods (1) Models (1)

Keywords

large language model (2) offline reinforcement learning (1) reinforcement learning from human feedback (1) distributed training (1) proximal policy optimization (1) model weight (1) dense model (1) autoregressive language model (1) open-source model (1) transformer architecture (1) implicit language q learning (1)

Papers

trlX: A Framework for Large Scale Reinforcement Learning from Human Feedback EMNLP 2023 GPT-NeoX-20B: An Open-Source Autoregressive Language Model ACL 2022