Yin-Te Tsai

2024

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Yin-Te Tsai trusts

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Matthijs Douze (in Computer Vision and Pattern Recognition)
  2. Herv'e J'egou (in Computer Vision and Pattern Recognition)
  3. Jeff Johnson (in Computer Vision and Pattern Recognition)

Papers from Yin-Te Tsai's perspective

Ordered by how strongly the researchers Yin-Te Tsai trusts endorse each paper. Same corpus, a different order for every researcher.

  1. LLaMA: Open and Efficient Foundation Language Models (arXiv.org)
  2. Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks (Neural Information Processing Systems)
  3. Self-Instruct: Aligning Language Models with Self-Generated Instructions (Annual Meeting of the Association for Computational Linguistics)
  4. Billion-Scale Similarity Search with GPUs
  5. Judging LLM-as-a-judge with MT-Bench and Chatbot Arena
  6. Attention is All you Need (Neural Information Processing Systems)
  7. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  8. Mistral 7B (arXiv.org)
  9. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  10. ImageNet classification with deep convolutional neural networks

Their papers