Yelong Shen
Microsoft (Finland)(FI)Microsoft Research (United Kingdom)(GB)
Publications by Year
Research Areas
Topic Modeling, Natural Language Processing Techniques, Multimodal Machine Learning Applications, Domain Adaptation and Few-Shot Learning, Speech Recognition and Synthesis
Most-Cited Works
- → LoRA: Low-Rank Adaptation of Large Language Models(2021)2,389 cited
- → Learning semantic representations using convolutional neural networks for web search(2014)693 cited
- → A Latent Semantic Model with Convolutional-Pooling Structure for Information Retrieval(2014)685 cited
- → ReasoNet(2017)265 cited
- → StoryGAN: A Sequential Conditional GAN for Story Visualization(2019)207 cited
- → Stochastic Answer Networks for Machine Reading Comprehension(2018)186 cited
- → MART: Memory-Augmented Recurrent Transformer for Coherent Video Paragraph Captioning(2020)167 cited
- → Generation-Augmented Retrieval for Open-Domain Question Answering(2021)136 cited
- → Enhancing Retrieval-Augmented Large Language Models with Iterative Retrieval-Generation Synergy(2023)129 cited
- → Learning personal + social latent factor model for social recommendation(2012)99 cited