Search Results for author:
Found 7 papers, 2 papers with code
STORYWARS: A Dataset and Instruction Tuning Baselines for Collaborative Story Understanding and Generation
Collaborative stories, which are texts created through the collaborative efforts of multiple authors with different writing styles and intentions, pose unique challenges for NLP models.
GPS: Genetic Prompt Search for Efficient Few-shot Learning
Prompt-based techniques have demostrated great potential for improving the few-shot generalization of pretrained language models.
ZeroPrompt: Scaling Prompt-Based Pretraining to 1,000 Tasks Improves Zero-Shot Generalization
We propose a multitask pretraining approach ZeroPrompt for zero-shot generalization, focusing on task scaling and zero-shot prompting.
Distribution Matching for Rationalization
The task of rationalization aims to extract pieces of input text as rationales to justify neural network predictions on text classification tasks.
Multimodal Polynomial Fusion for Detecting Driver Distraction
Distracted driving is deadly, claiming 3, 477 lives in the U. S. in 2015 alone.
DialPort, Gone Live: An Update After A Year of Development
DialPort collects user data for connected spoken dialog systems.
Controllable Invariance through Adversarial Feature Learning
Learning meaningful representations that maintain the content necessary for a particular task while filtering away detrimental variations is a problem of great interest in machine learning.
