Yong Jiang

International Conference on Learning Representations · with He · 2023

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

Whom Yong Jiang trusts overall

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

  1. Tri Dao

Papers from Yong Jiang's perspective

Ordered by how strongly the researchers Yong Jiang trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Training language models to follow instructions with human feedback (Neural Information Processing Systems)
  2. LLaMA: Open and Efficient Foundation Language Models (arXiv.org)
  3. The Flan Collection: Designing Data and Methods for Effective Instruction Tuning
  4. Direct Preference Optimization: Your Language Model is Secretly a Reward Model (Neural Information Processing Systems)
  5. Llama 2: Open Foundation and Fine-Tuned Chat Models (arXiv.org)
  6. MTEB: Massive Text Embedding Benchmark
  7. ZeRO-Offload: Democratizing Billion-Scale Model Training
  8. Enhancing Chat Language Models by Scaling High-quality Instructional Conversations (Conference on Empirical Methods in Natural Language Processing)
  9. Principle-Driven Self-Alignment of Language Models from Scratch with Minimal Human Supervision
  10. FlashAttention-2: Faster Attention with Better Parallelism and Work Partitioning

Their papers