Tomasz Limisiewicz

Artificial Intelligence · 2020–2022

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

Subfields

• Artificial Intelligence — 123 citations into it
• Natural Language Processing — 83 citations into it
• Evaluation & Benchmarks — 41 citations into it

Whom Tomasz Limisiewicz trusts overall

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

1. Matt Post
2. Jieyu Zhao

Papers from Tomasz Limisiewicz's perspective

Ordered by how strongly the researchers Tomasz Limisiewicz 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. Attention is All you Need (Neural Information Processing Systems)
3. Language Models are Unsupervised Multitask Learners
4. Improving Language Understanding by Generative Pre-Training
5. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
6. Recurrent neural network based language model
7. Bleu: a Method for Automatic Evaluation of Machine Translation
8. Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer (Journal of machine learning research)
9. A Neural Probabilistic Language Model
10. Deep Contextualized Word Representations (North American Chapter of the Association for Computational Linguistics)

Their papers

• Gender Coreference and Bias Evaluation at WMT 2020 (2020) — 33 citations
• BLOOM: A 176B-Parameter Open-Access Multilingual Language Model (2022) — 2,975 citations