Leonard Adolphs
Princeton University(US)
Publications by Year
Research Areas
Topic Modeling, Natural Language Processing Techniques, Neural Networks and Applications, Stochastic Gradient Optimization Techniques, Sparse and Compressive Sensing Techniques
Most-Cited Works
- → Local Saddle Point Optimization: A Curvature Exploitation Approach(2019)48 cited
- → Language Models that Seek for Knowledge: Modular Search & Generation for Dialogue and Prompt Completion(2022)41 cited
- → Reason first, then respond: Modular Generation for Knowledge-infused Dialogue(2022)24 cited
- → How to Query Language Models?(2021)10 cited
- Ellipsoidal Trust Region Methods and the Marginal Value of Hessian Information for Neural Network Training.(2019)
- → LeDeepChef Deep Reinforcement Learning Agent for Families of Text-Based Games(2020)9 cited
- → The CRINGE Loss: Learning what language not to model(2023)7 cited
- → Calibration of Machine Reading Systems at Scale(2022)6 cited