Joel Jang
University of Washington(US)
Publications by Year
Research Areas
Topic Modeling, Natural Language Processing Techniques, Text Readability and Simplification, Reinforcement Learning in Robotics, Multimodal Machine Learning Applications
Most-Cited Works
- → Knowledge Unlearning for Mitigating Privacy Risks in Language Models(2023)46 cited
- → The CoT Collection: Improving Zero-shot and Few-shot Learning of Language Models via Chain-of-Thought Fine-Tuning(2023)43 cited
- → TemporalWiki: A Lifelong Benchmark for Training and Evaluating Ever-Evolving Language Models(2022)41 cited
- → Towards Continual Knowledge Learning of Language Models(2021)40 cited
- → Sequential targeting: A continual learning approach for data imbalance in text classification(2021)35 cited
- → Can Large Language Models Truly Understand Prompts? A Case Study with Negated Prompts(2022)32 cited
- → Supervised Health Stage Prediction Using Convolutional Neural Networks for Bearing Wear(2020)25 cited
- → Exploring the Benefits of Training Expert Language Models over Instruction Tuning(2023)20 cited
- → Prometheus: Inducing Fine-grained Evaluation Capability in Language Models(2023)15 cited
- → Magma: A Foundation Model for Multimodal AI Agents(2025)12 cited