Shane Steinert-Threlkeld
Artificial Intelligence · 2020
A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 20 citations into it; #26,604 of 35,345 by trust here, #31,361 by citations
- Natural Language Processing — 19 citations into it; #4,371 of 5,688 by trust here, #5,296 by citations
- Large Language Models — 5 citations into it
Whom Shane Steinert-Threlkeld trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Shane Steinert-Threlkeld overall
Papers from Shane Steinert-Threlkeld's perspective
Ordered by how strongly the researchers Shane Steinert-Threlkeld trusts endorse each paper. Same corpus, a different order for every researcher.
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Language Models are Unsupervised Multitask Learners
- Improving Language Understanding by Generative Pre-Training
- RoBERTa: A Robustly Optimized BERT Pretraining Approach (arXiv.org)
- Deep Contextualized Word Representations (North American Chapter of the Association for Computational Linguistics)
- Building a Large Annotated Corpus of English: The Penn Treebank
- Universal Language Model Fine-tuning for Text Classification
- A Broad-Coverage Challenge Corpus for Sentence Understanding through Inference
- Annotation Artifacts in Natural Language Inference Data
- Right for the Wrong Reasons: Diagnosing Syntactic Heuristics in Natural Language Inference