Yelong Shen

Yelong Shen publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Yelong Shen sits on this spectrum.

Yelong Shen D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Yelong Shen sits on this spectrum.

Best Publications

• LoRA: Low-Rank Adaptation of Large Language Models.

  Edward J. Hu;Yelong Shen;Phillip Wallis;Zeyuan Allen-Zhu

  2371
  Citations

• Learning semantic representations using convolutional neural networks for web search

  Yelong Shen;Xiaodong He;Jianfeng Gao;Li Deng

  787
  Citations

• A Latent Semantic Model with Convolutional-Pooling Structure for Information Retrieval

  Yelong Shen;Xiaodong He;Jianfeng Gao;Li Deng

  784
  Citations

• ReasoNet: Learning to Stop Reading in Machine Comprehension

  Yelong Shen;Po-Sen Huang;Jianfeng Gao;Weizhu Chen

  304
  Citations

• Stochastic Answer Networks for Machine Reading Comprehension

  Xiaodong Liu;Yelong Shen;Kevin Duh;Jianfeng Gao

  231
  Citations

• StoryGAN: A Sequential Conditional GAN for Story Visualization

  Yitong Li;Zhe Gan;Yelong Shen;Jingjing Liu

  214
  Citations

• MART: Memory-Augmented Recurrent Transformer for Coherent Video Paragraph Captioning

  Jie Lei;Liwei Wang;Yelong Shen;Dong Yu

  177
  Citations

• Generation-Augmented Retrieval for Open-Domain Question Answering

  Yuning Mao;Pengcheng He;Xiaodong Liu;Yelong Shen

  124
  Citations

• Learning personal + social latent factor model for social recommendation

  Yelong Shen;Ruoming Jin

  121
  Citations

• CRITIC: Large Language Models Can Self-Correct with Tool-Interactive Critiquing

  Unknown

  120
  Citations

• Controllable Natural Language Generation with Contrastive Prefixes

  Unknown

  111
  Citations

• Enhancing Retrieval-Augmented Large Language Models with Iterative Retrieval-Generation Synergy

  Unknown

  110
  Citations

• A Simple but Tough-to-Beat Data Augmentation Approach for Natural Language Understanding and Generation

  Unknown

  94
  Citations

• A Good Prompt Is Worth Millions of Parameters? Low-resource Prompt-based Learning for Vision-Language Models.

  Woojeong Jin;Yu Cheng;Yelong Shen;Weizhu Chen

  92
  Citations

• FusionNet: Fusing via Fully-Aware Attention with Application to Machine Comprehension

  Unknown

  86
  Citations

• Explanations from Large Language Models Make Small Reasoners Better

  Unknown

  85
  Citations

• Reliable clustering on uncertain graphs

  Lin Liu;Ruoming Jin;C. Aggarwal;Yelong Shen

  83
  Citations

• A Hybrid Retrieval-Generation Neural Conversation Model

  Liu Yang;Junjie Hu;Minghui Qiu;Chen Qu

  78
  Citations

• NeurIPS 2020 EfficientQA Competition: Systems, Analyses and Lessons Learned

  Sewon Min;Jordan L. Boyd-Graber;Chris Alberti;Danqi Chen

  77
  Citations

• ReasoNet: Learning to Stop Reading in Machine Comprehension.

  Yelong Shen;Po-Sen Huang;Jianfeng Gao;Weizhu Chen

  11
  Citations