554 citations · 1.6k across the 42 of their papers we have counts for
14 papers · 1 filter
Meta-KD: A Meta Knowledge Distillation Framework for Language Model Compression across Domains
Haojie Pan, Chengyu Wang, Minghui Qiu +3
Pre-trained language models have been applied to various NLP tasks with considerable performance gains. However, the large model sizes, together with the long inference time, limit…
Learning to Expand: Reinforced Pseudo-relevance Feedback Selection for Information-seeking Conversations
Haojie Pan, Cen Chen, Chengyu Wang +4
Information-seeking conversation systems are increasingly popular in real-world applications, especially for e-commerce companies. To retrieve appropriate responses for users, it i…
Exploring Global Information for Session-based Recommendation
Ziyang Wang, Wei Wei, Gao Cong +4
Session-based recommendation (SBR) is a challenging task, which aims at recommending items based on anonymous behavior sequences. Most existing SBR studies model the user preferenc…
EasyTransfer -- A Simple and Scalable Deep Transfer Learning Platform for NLP Applications
Minghui Qiu, Peng Li, Chengyu Wang +8
The literature has witnessed the success of leveraging Pre-trained Language Models (PLMs) and Transfer Learning (TL) algorithms to a wide range of Natural Language Processing (NLP)…
One-shot Text Field Labeling using Attention and Belief Propagation for Structure Information Extraction
Mengli Cheng, Minghui Qiu, Xing Shi +2
Structured information extraction from document images usually consists of three steps: text detection, text recognition, and text field labeling. While text detection and text rec…
A Comprehensive Analysis of Information Leakage in Deep Transfer Learning
Cen Chen, Bingzhe Wu, Minghui Qiu +2
Transfer learning is widely used for transferring knowledge from a source domain to the target domain where the labeled data is scarce. Recently, deep transfer learning has achieve…