Gabrielle K. Liu

According to our database, Gabrielle K. Liu authored at least 6 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

MDCure: A Scalable Pipeline for Multi-Document Instruction-Following.

Gabrielle Kaili-May Liu, Bowen Shi, Avi Caciularu, Idan Szpektor, Arman Cohan

CoRR, 2024

2023

Perspectives on the Social Impacts of Reinforcement Learning with Human Feedback.

Gabrielle Kaili-May Liu

CoRR, 2023

2022

Streaming Inference for Infinite Feature Models.

Rylan Schaeffer, Yilun Du, Gabrielle K. Liu, Ila Fiete

Proceedings of the International Conference on Machine Learning, 2022

Streaming Inference for Infinite Non-Stationary Clustering.

Rylan Schaeffer, Gabrielle Kaili-May Liu, Yilun Du, Scott Linderman, Ila Rani Fiete

Proceedings of the Conference on Lifelong Learning Agents, 2022

2019

Weight Friction: A Simple Method to Overcome Catastrophic Forgetting and Enable Continual Learning.

Gabrielle Kaili-May Liu

CoRR, 2019

2018

Evaluating Gammatone Frequency Cepstral Coefficients with Neural Networks for Emotion Recognition from Speech.

Gabrielle K. Liu

CoRR, 2018