M Saiful Bari
Artificial Intelligence · 2021–2025
A researcher in the Science corpus: 8 papers; trusts 45 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 339 citations into it
- Natural Language Processing — 195 citations into it
- Evaluation & Benchmarks — 123 citations into it
- Large Language Models — 121 citations into it
- Computer Vision and Pattern Recognition — 87 citations into it
Whom M Saiful Bari trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Yoshua Bengio
- Diederik P. Kingma
- Ilya Sutskever
- Alex Krizhevsky
- Alec Radford
- Kaiming He
- Yann LeCun
- Alex Graves
- Chin-Yew Lin
Papers from M Saiful Bari's perspective
Ordered by how strongly the researchers M Saiful Bari trusts endorse each paper. Same corpus, a different order for every researcher.
- Attention is All you Need (Neural Information Processing Systems)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- ImageNet classification with deep convolutional neural networks
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- ImageNet: A large-scale hierarchical image database
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
Their papers
- Multitask Prompted Training Enables Zero-Shot Task Generalization (2021) — 2,030 citations
- PromptSource: An Integrated Development Environment and Repository for Natural Language Prompts (2022) — 417 citations
- Crosslingual Generalization through Multitask Finetuning (2023) — 602 citations
- A Systematic Study and Comprehensive Evaluation of ChatGPT on Benchmark Datasets (2023) — 242 citations
- A benchmark of expert-level academic questions to assess AI capabilities (2025) — 349 citations
- xCodeEval: A Large Scale Multilingual Multitask Benchmark for Code Understanding, Generation, Translation and Retrieval (2023) — 95 citations
- BLOOM+1: Adding Language Support to BLOOM for Zero-Shot Prompting (2022) — 114 citations
- BLOOM: A 176B-Parameter Open-Access Multilingual Language Model (2022) — 2,975 citations