Mohamed Gabr
Artificial Intelligence · 2023
A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 19 citations into it
- Natural Language Processing — 9 citations into it
Whom Mohamed Gabr trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- Maja Popovic (in Artificial Intelligence)
Papers from Mohamed Gabr's perspective
Ordered by how strongly the researchers Mohamed Gabr 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
- Chain of Thought Prompting Elicits Reasoning in Large Language Models (Neural Information Processing Systems)
- PaLM: Scaling Language Modeling with Pathways (Journal of machine learning research)
- Rethinking the Role of Demonstrations: What Makes In-Context Learning Work?
- chrF: character n-gram F-score for automatic MT evaluation
- Large Language Models are Zero-Shot Reasoners
- Multilingual Denoising Pre-training for Neural Machine Translation
- Language Models are Multilingual Chain-of-Thought Reasoners
- Prompting Large Language Model for Machine Translation: A Case Study (International Conference on Machine Learning)
Their papers
- How Good Are GPT Models at Machine Translation? A Comprehensive Evaluation (2023) — 603 citations