Jian-yun Nie

Artificial Intelligence · with Lian · 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

Whom Jian-yun Nie trusts

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

  1. Iryna Gurevych (in Artificial Intelligence)
  2. Nils Reimers (in Artificial Intelligence)

Papers from Jian-yun Nie's perspective

Ordered by how strongly the researchers Jian-yun Nie trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer (Journal of machine learning research)
  2. Language Models are Few-Shot Learners (Neural Information Processing Systems)
  3. Dense Passage Retrieval for Open-Domain Question Answering (Conference on Empirical Methods in Natural Language Processing)
  4. Finetuned Language Models Are Zero-Shot Learners
  5. SentEval: An Evaluation Toolkit for Universal Sentence Representations
  6. MS MARCO: A Human Generated MAchine Reading COmprehension Dataset
  7. A Broad-Coverage Challenge Corpus for Sentence Understanding through Inference
  8. Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks
  9. PaLM: Scaling Language Modeling with Pathways (Journal of machine learning research)
  10. Approximate Nearest Neighbor Negative Contrastive Learning for Dense Text Retrieval

Their papers