Search Results for author:
Found 4 papers, 1 papers with code
Prompt-Based Bias Calibration for Better Zero/Few-Shot Learning of Language Models
Prompt learning is susceptible to intrinsic bias present in pre-trained language models (LMs), resulting in sub-optimal performance of prompt-based zero/few-shot learning.
Segmented Recurrent Transformer: An Efficient Sequence-to-Sequence Model
The segmented attention and lightweight RAF neurons ensure the efficiency of the proposed transformer.
Ranked #1 on
Text Summarization
on MediaSum
Complexity-aware Adaptive Training and Inference for Edge-Cloud Distributed AI Systems
Only data with high probabilities of belonging to hard classes would be sent to the extension block for prediction.
Conditionally Deep Hybrid Neural Networks Across Edge and Cloud
The proposed network can be deployed in a distributed manner, consisting of quantized layers and early exits at the edge and full-precision layers on the cloud.
