Jesse Mu
Publications by Year
Research Areas
Topic Modeling, Natural Language Processing Techniques, Speech and dialogue systems, Text Readability and Simplification, Adversarial Robustness in Machine Learning
Most-Cited Works
- → Parkinson's Disease Subtypes Identified from Cluster Analysis of Motor and Non-motor Symptoms(2017)130 cited
- → Compositional Explanations of Neurons(2020)50 cited
- → Sleeper Agents: Training Deceptive LLMs that Persist Through Safety Training(2024)31 cited
- → Learning to Compress Prompts with Gist Tokens(2023)17 cited
- → Improving Intrinsic Exploration with Language Abstractions(2022)16 cited
- → The Meta-Science of Adult Statistical Word Segmentation: Part 1(2019)15 cited
- → Active Learning Helps Pretrained Models Learn the Intended Task(2022)14 cited
- → Learning Outside the Box: Discourse-level Features Improve Metaphor Identification(2019)14 cited
- → Do We Need Natural Language?(2019)13 cited