Mu Li

with Chen · 2020

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Mu Li trusts

Their strongest outbound trust, strongest first, inferred from their citations.

1. Marco F. Huber (in Neural Architecture Search & AutoML)
2. Marc-André Zöller (in Neural Architecture Search & AutoML)

Papers from Mu Li's perspective

Ordered by how strongly the researchers Mu Li trusts endorse each paper. Same corpus, a different order for every researcher.

1. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
2. RoBERTa: A Robustly Optimized BERT Pretraining Approach (arXiv.org)
3. Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism
4. Survey on Automated Machine Learning
5. CoQA: A Conversational Question Answering Challenge
6. Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge
7. Dual Co-Matching Network for Multi-choice Reading Comprehension
8. Benchmark and Survey of Automated Machine Learning Frameworks
9. DREAM: A Challenge Data Set and Models for Dialogue-Based Reading Comprehension
10. Option Comparison Network for Multiple-choice Reading Comprehension

Their papers

• Improving Machine Reading Comprehension with Single-choice Decision and Transfer Learning (2020) — 11 citations