research
∙
05/15/2023
RL4F: Generating Natural Language Feedback with Reinforcement Learning for Repairing Model Outputs
Despite their unprecedented success, even the largest language models ma...
share
research
∙
05/23/2022
On Measuring Social Biases in Prompt-Based Multi-Task Learning
Large language models trained on a mixture of NLP tasks that are convert...
research
∙
05/23/2022
Challenges in Measuring Bias via Open-Ended Language Generation
Researchers have devised numerous ways to quantify social biases vested ...
research
∙
10/13/2021
Subspace Regularizers for Few-Shot Class Incremental Learning
Few-shot class incremental learning – the problem of updating a trained ...
research
∙
03/24/2021
Low-Resource Machine Translation for Low-Resource Languages: Leveraging Comparable Data, Code-Switching and Compute Resources
We conduct an empirical study of unsupervised neural machine translation...
research
∙
10/08/2020
