Chenghao Mou
Information Systems · 2022–2024
A researcher in the Science corpus: 6 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Information Systems — 89 citations into it
- Signal Processing — 23 citations into it
Whom Chenghao Mou trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Chenghao Mou's perspective
Ordered by how strongly the researchers Chenghao Mou trusts endorse each paper. Same corpus, a different order for every researcher.
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- 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
- Attention is All you Need (Neural Information Processing Systems)
- Language Models are Few-Shot Learners (Neural Information Processing Systems)
- Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
- Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer (Journal of machine learning research)
- Improving Language Understanding by Generative Pre-Training
- Generating Sequences With Recurrent Neural Networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
Their papers
- The Stack: 3 TB of permissively licensed source code (2022) — 482 citations
- SantaCoder: don't reach for the stars! (2023) — 247 citations
- StarCoder: may the source be with you! (2023) — 1,263 citations
- The BigScience ROOTS Corpus: A 1.6TB Composite Multilingual Dataset (2023) — 217 citations
- StarCoder 2 and The Stack v2: The Next Generation (2024) — 698 citations
- BLOOM: A 176B-Parameter Open-Access Multilingual Language Model (2022) — 2,975 citations