Runpeng Geng
Natural Language Processing · 2023
A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Natural Language Processing — 10 citations into it
Whom Runpeng Geng trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- William B. Dolan (in Natural Language Processing)
- Chris Brockett (in Natural Language Processing)
Papers from Runpeng Geng's perspective
Ordered by how strongly the researchers Runpeng Geng trusts endorse each paper. Same corpus, a different order for every researcher.
- Language Models are Few-Shot Learners (Neural Information Processing Systems)
- Attention is All you Need (Neural Information Processing Systems)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Long Short-Term Memory
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Recursive Deep Models for Semantic Compositionality Over a Sentiment Treebank
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Gradient-based learning applied to document recognition
- GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding
Their papers
- Formalizing and Benchmarking Prompt Injection Attacks and Defenses (2023) — 403 citations