2 citations · 6 across the 4 of their papers we have counts for
6 papers
Prompting to Distill: Boosting Data-Free Knowledge Distillation via Reinforced Prompt
Xinyin Ma, Xinchao Wang, Gongfan Fang +2
Data-free knowledge distillation (DFKD) conducts knowledge distillation via eliminating the dependence of original training data, and has recently achieved impressive results in ac…
MuVER: Improving First-Stage Entity Retrieval with Multi-View Entity Representations
Xinyin Ma, Yong Jiang, Nguyen Bach +4
Entity retrieval, which aims at disambiguating mentions to canonical entities from massive KBs, is essential for many tasks in natural language processing. Recent progress in entit…
Locate and Label: A Two-stage Identifier for Nested Named Entity Recognition
Yongliang Shen, Xinyin Ma, Zeqi Tan +3
Named entity recognition (NER) is a well-studied task in natural language processing. Traditional NER research only deals with flat entities and ignores nested entities. The span-b…
A Trigger-Sense Memory Flow Framework for Joint Entity and Relation Extraction
Yongliang Shen, Xinyin Ma, Yechun Tang +1
Joint entity and relation extraction framework constructs a unified model to perform entity recognition and relation extraction simultaneously, which can exploit the dependency bet…
Adversarial Self-Supervised Data-Free Distillation for Text Classification
Xinyin Ma, Yongliang Shen, Gongfan Fang +3
Large pre-trained transformer-based language models have achieved impressive results on a wide range of NLP tasks. In the past few years, Knowledge Distillation(KD) has become a po…
Multi-hop Reading Comprehension across Documents with Path-based Graph Convolutional Network
Zeyun Tang, Yongliang Shen, Xinyin Ma +3
Multi-hop reading comprehension across multiple documents attracts much attention recently. In this paper, we propose a novel approach to tackle this multi-hop reading comprehensio…