Naman Jain
Artificial Intelligence · with Li · 2021–2024
A researcher in the Science corpus: 7 papers; trusts 18 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 180 citations into it
- Information Systems — 100 citations into it
- Large Language Models — 87 citations into it
- Evaluation & Benchmarks — 46 citations into it
- Software — 46 citations into it
- Natural Language Processing — 42 citations into it
Whom Naman Jain trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Yoshua Bengio
- Diederik P. Kingma
- Ilya Sutskever
- Alex Krizhevsky
- Kaiming He
- Yann LeCun
- Fengji Zhang
- Alex Graves
- Sumit Gulwani
Who trusts Naman Jain overall
- Tianle Li
- Terry Yue Zhuo
- Philippe Laban
- Chun Xia
- Zhihong Shao
- Angela Fan
- Wei-Lin Chiang
- Xiaohan Xu
- Pengcheng Yin
- Wen-Ding Li
Papers from Naman Jain's perspective
Ordered by how strongly the researchers Naman Jain 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)
- ImageNet classification with deep convolutional neural networks
- Long Short-Term Memory
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
Their papers
- Jigsaw: Large Language Models meet Program Synthesis (2021) — 257 citations
- StarCoder 2 and The Stack v2: The Next Generation (2024) — 698 citations
- R2E: Turning any Github Repository into a Programming Agent Environment (2024) — 57 citations
- LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code (2024) — 1,848 citations
- BigCodeBench: Benchmarking Code Generation with Diverse Function Calls and Complex Instructions (2024) — 597 citations
- RAFT: Adapting Language Model to Domain Specific RAG (2024) — 371 citations
- LLM-Assisted Code Cleaning For Training Accurate Code Generators (2023) — 54 citations