N. A. Smith

Artificial Intelligence · 2022

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

Subfields

• Artificial Intelligence — 41 citations into it; #34,801 of 35,345 by trust here, #23,077 by citations

Whom N. A. Smith trusts

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

1. Percy Liang (in Artificial Intelligence)

Who trusts N. A. Smith

1. Wenhu Chen (in Artificial Intelligence)

Papers from N. A. Smith's perspective

Ordered by how strongly the researchers N. A. Smith 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. Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer (Journal of machine learning research)
3. Language Models are Few-Shot Learners (Neural Information Processing Systems)
4. RoBERTa: A Robustly Optimized BERT Pretraining Approach (arXiv.org)
5. Learning to Parse Database Queries Using Inductive Logic Programming
6. BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension
7. PaLM: Scaling Language Modeling with Pathways (Journal of machine learning research)
8. Compositional Semantic Parsing on Semi-Structured Tables
9. Seq2SQL: Generating Structured Queries from Natural Language using Reinforcement Learning
10. Neural Module Networks

Their papers

• Binding Language Models in Symbolic Languages (2022) — 322 citations