NLPExplorer

Weizhu Chen

Number of Papers:- 20

Number of Citations:- 0

First ACL Paper:- 2019

Latest ACL Paper:- 2021

Venues:-

EMNLP

NAACL

IJCNLP

Findings

ACL

Co-Authors:-

Similar Authors:-

HiddenCut: Simple Data Augmentation for Natural Language Understanding with Better Generalizability ACL IJCNLP

Jiaao Chen | Dinghan Shen | Weizhu Chen | Diyi Yang |

Generation-Augmented Retrieval for Open-Domain Question Answering ACL IJCNLP

Finetuning Pretrained Transformers into RNNs EMNLP

ARCH: Efficient Adversarial Regularized Training with Caching EMNLP Findings

Few-Shot Named Entity Recognition: An Empirical Baseline Study EMNLP

Adversarial Regularization as Stackelberg Game: An Unrolled Optimization Approach EMNLP

Memory-Efficient Differentiable Transformer Architecture Search Findings

Token-wise Curriculum Learning for Neural Machine Translation EMNLP Findings

UnitedQA: A Hybrid Approach for Open Domain Question Answering ACL IJCNLP

Super Tickets in Pre-Trained Language Models: From Model Compression to Improving Generalization ACL IJCNLP

Reader-Guided Passage Reranking for Open-Domain Question Answering Findings

GLGE: A New General Language Generation Evaluation Benchmark Findings

SMART: Robust and Efficient Fine-Tuning for Pre-trained Natural Language Models through Principled Regularized Optimization ACL

Weizhu Chen

Number of Papers:- 20

Number of Citations:- 0

First ACL Paper:- 2019

Latest ACL Paper:- 2021

Venues:-

Co-Authors:-

Similar Authors:-

HiddenCut: Simple Data Augmentation for Natural Language Understanding with Better Generalizability ACL IJCNLP

Generation-Augmented Retrieval for Open-Domain Question Answering ACL IJCNLP

Finetuning Pretrained Transformers into RNNs EMNLP

ARCH: Efficient Adversarial Regularized Training with Caching EMNLP Findings

Few-Shot Named Entity Recognition: An Empirical Baseline Study EMNLP

Adversarial Regularization as Stackelberg Game: An Unrolled Optimization Approach EMNLP

Memory-Efficient Differentiable Transformer Architecture Search Findings

Token-wise Curriculum Learning for Neural Machine Translation EMNLP Findings

UnitedQA: A Hybrid Approach for Open Domain Question Answering ACL IJCNLP

Super Tickets in Pre-Trained Language Models: From Model Compression to Improving Generalization ACL IJCNLP

Reader-Guided Passage Reranking for Open-Domain Question Answering Findings

GLGE: A New General Language Generation Evaluation Benchmark Findings

SMART: Robust and Efficient Fine-Tuning for Pre-trained Natural Language Models through Principled Regularized Optimization ACL

The Microsoft Toolkit of Multi-Task Deep Neural Networks for Natural Language Understanding ACL

Understanding the Difficulty of Training Transformers EMNLP

Exploiting Structured Knowledge in Text via Graph-Guided Representation Learning EMNLP

Parameter-free Sentence Embedding via Orthogonal Basis EMNLP

A Hybrid Neural Network Model for Commonsense Reasoning EMNLP WS

Learning to Attend On Essential Terms: An Enhanced Retriever-Reader Model for Open-domain Question Answering NAACL

Multi-Task Deep Neural Networks for Natural Language Understanding ACL